# Effects of Sea Water Scrubbing Final report

Marc Hufnagl , Research Centre Terramare, Schleusenstrasse 1, 26382 Wilhelmshaven, Germany Prof. Dr. Gerd Liebezeit , Research Centre Terramare, Schleusenstrasse 1, 26382 Wilhelmshaven,

Germany Dr. Brigitt e Behrends , School of Marine Science and Technology, University of Newcastle,

Newcastle upon Tyne, NE1 7RU, UK 

# March 2005

### I



# Index
1 PROJECT DESCRIPTION ................................ ................................ ................................ ......................... 1 2 SUMMARY ................................ ................................ ................................ ................................ ................... 1 3 INTRODUCTION ................................ ................................ ................................ ................................ ......... 1 4 MATERIAL AND METHODS FOR PRELIMINARY TRI ALS ................................ ............................. 5
4.1 P 

### H

- B UFFER


### - CAPACITY OF NATURAL SEAWATER 

### (M IX


### - TEST 

### )
................................ ................................ ... 5 4.2 P OLYCYCLIC 

### A ROMATIC 

### H YDROCARBONS 

### ................................ ................................ .............................. 6 5 MATERIAL AND METHODS : DETERMINATION OF E NVIRONMENTAL PARAMET ERS AND POLLUTANTS ................................ ................................ ................................ ................................ ................... 10
5.1 S AMPLING POINTS 

### , S AMPLING 

### , T RANSPORT AND 

### S TORAGE 

### ................................ ................................ ... 10 5.1.1 Sampling in February and March
................................ ................................ ................................ . 10 5.1.2 Sampling in July, September and November
................................ ................................ ................. 12 5.2 T EMPERATURE 

### , P 

### H, S ALINITY 

### , O XYGEN 

### ................................ ................................ ................................ 14 5.3 M ETALS AND SULPHATE 

### ................................ ................................ ................................ ........................ 15 5.4 P OLYCYCLIC 

### A ROMATIC 

### H YDROCARBONS 

### (PAH)
................................ ................................ ................. 15 5.4.1 Calibration, determination of accuracy, Carry

- over ................................ ................................ .... 15 5.4.2 Extraction
................................ ................................ ................................ ................................ ...... 20 5.4.3 Determination of the origin of PAHs
................................ ................................ ............................ 22 5.5 P LANKTON SAMPLES 

### ................................ ................................ ................................ .............................. 23 6 MATERIAL AND METHODS : TOXICITY TESTS AND ACCUMULATION TEST ....................... 24 6.1 L UMISTOX 

### ................................ ................................ ................................ ................................ .............. 24 6.2 B RINE SHRIMP TEST 

### ................................ ................................ ................................ ............................... 24 6.3 A CCUMULATION TEST 

### ................................ ................................ ................................ ............................ 25 6.3.1 Preparation and Performance
................................ ................................ ................................ ....... 25 6.3.2 Analysis and extraction of the mussels
................................ ................................ .......................... 27 7 RESULTS OF PRELIMINA RY TRIALS ................................ ................................ ................................ 29
7.1 P 

### H

- M IXTURES 

### ................................ ................................ ................................ ................................ ........ 29 7.1.1 Jade Bay, Wilhelmshaven, Germany
................................ ................................ ............................. 29 7.1.2 Ems River, Papenburg, Germany
................................ ................................ ................................ .. 30 7.1.3 Odense, Denmark
................................ ................................ ................................ .......................... 30 7.1.4 Calais, France
................................ ................................ ................................ ............................... 31 7.1.5 Dover, England
................................ ................................ ................................ ............................. 31 7.1.6 Comparison of all results (in equilibrium)
................................ ................................ .................... 32 7.2 GC

- MS V ALIDATION 

### ................................ ................................ ................................ ............................. 34 7.3 PAH

- E X TRACTION 

### , V ALIDATION OF 

### M ETHOD 

### ................................ ................................ ...................... 37

### II

8 RESULTS AND DISCUSSI ON OF ENVIRONMENTAL SAMPLINGS ................................ ............. 41 8.1 1 ST SAMPLING 

### (F EBRUARY 

### )
................................ ................................ ................................ .................... 41 8.1.1 pH, Temperature, Salinity, Conductivity, Oxygen
................................ ................................ ......... 41 8.1.2 Metals and Sulphate
................................ ................................ ................................ ...................... 42 8.1.3 Nutrients
................................ ................................ ................................ ................................ ........ 43 8.1.4 Polycyclic Aromatic Hydrocarbons
................................ ................................ .............................. 44 8.2 2 ND SAMPLING 

### (M ARCH 

### )
................................ ................................ ................................ ......................... 46 8.2.1 pH, Temperature, Salinity, Conductivity, Oxygen
................................ ................................ ......... 46 8.2.2 Metals and Sulphate
................................ ................................ ................................ ...................... 48 8.2.3 Nutrients
................................ ................................ ................................ ................................ ........ 51 8.2.4 Polycyclic Aromatic Hydrocarbons
................................ ................................ .............................. 52 8.3 3 RD SAMPLING 

### (J ULY 

### )
................................ ................................ ................................ ............................. 58 8.3.1 pH, salinity and temperature
................................ ................................ ................................ ......... 58 8.3.2 Nutrients
................................ ................................ ................................ ................................ ........ 59 8.3.3 Polycyclic aromatic hydrocarbons
................................ ................................ ................................ 61 8.4 4 TH SAMPLING 

### (S EPTEMBER 

### )
................................ ................................ ................................ ................... 66 8.4.1 pH, salinity and temperature
................................ ................................ ................................ ......... 66 8.4.2 Nutrients
................................ ................................ ................................ ................................ ........ 68 8.4.3 Metals and Sulphate
................................ ................................ ................................ ...................... 69 8.4.4 Polycyclic aromatic hydrocarbons
................................ ................................ ................................ 70 8.5 5 TH SAMPLING 

### (N OVEMBER 

### )
................................ ................................ ................................ ................... 75 8.5.1 pH, salinity and temperature
................................ ................................ ................................ ......... 75 8.5.2 Metals and Sulphate
................................ ................................ ................................ ...................... 77 8.5.3 Nutrients
................................ ................................ ................................ ................................ ........ 78 8.5.4 Polycyclic Aromatic Hydrocarbons
................................ ................................ .............................. 79 8.6 A NNUAL CIRCLE 

### ................................ ................................ ................................ ................................ .... 84 8.6.1 pH, salinity and temperature
................................ ................................ ................................ ......... 84 8.6.2 Nitrate and sulphate
................................ ................................ ................................ ...................... 92 8.6.3 Polycyclic aromatic hydrocarbons
................................ ................................ ................................ 93 8.6.4 Plankton samples
................................ ................................ ................................ ........................ 100 8.7 R ESULTS OF MUSSEL ANA LYSIS 

### ................................ ................................ ................................ ............ 102 8.8 R ESULT S OF SEDIMENT ANALYS IS 

### ................................ ................................ ................................ ........ 104 9 RESULTS AND DISCUSSI ON OF THE TOXICITY A ND ACCUMULATION TEST S ................. 109 9.1 L UMISTOX TEST 

### ................................ ................................ ................................ ................................ ... 109 9.2 B RINE SHRIMP TEST 

### ................................ ................................ ................................ ............................. 110 9.3 A CCUMULATION TEST 

### ................................ ................................ ................................ .......................... 111 9.3.1 Mussel analyses: size, weight, condition index, fat content
................................ ........................ 111 9.3.2 Mussel analyses: PAH content, accumulation, mortality
................................ ............................ 114 10 CON CLUSIONS ................................ ................................ ................................ ................................ ... 122 REFERENCES ................................ ................................ ................................ ................................ .................. 126 REFERENCES WORLD WID E WEB ................................ ................................ ................................ ........... 129

### III



# LIST OF FIGURES
F IG 

### . 1: GEOGRAPHICAL POSITI ON OF 

### D OV ER AND 

### C ALAIS AND ROUTE OF T HE 

### “P RIDE OF 

### K ENT 

### ” INSIDE THE CHANNEL 

### ................................ ................................ ................................ ................................ ....................... 10 F IG 

### . 2: D OVER HARBOUR SAMPLIN G POINTS 

### ( LEFT 

### : SAMPLING ON 

### 11.2.2004, RIGHT SAMPLING ON 

### 24.3.2004)
..... 11 F IG 

### . 3: P HOTOS OF THE SEAWATE R SCRUBBER SAMPLING POINTS INSIDE THE 

### „P RIDE OF KENT 

### “. L.: P OINT 

### 1 SEAWATER SCRUBBER IN LET 

### . M. L 

### .: P OINT 

### 2 SEAWATER SCRUBBER O UTLET 

### . M. R 

### .: P OINT 

### 3 AND 

### 5: OUTLET AND INLET OF 

### US FILTER 

### , TO P OF CYCLONES 

### . R.: P OINT 

### 4, 7 AND 

### 8: TUBE GOING TO THE S ETTLING TANK AND TOP AND BOTTOM OF SA MPLING TANK 

### . ................................ ................................ ................................ .......... 12 F IG 

### . 4: VAN 

### V EEN GRAB AND NISKIN LADLE FOR SEDIMENT A ND WATER SAMPLES RES PECTIVELY 

### . ....................... 22 F IG 

### . 5: P

ICTURE OF 

### A RTEMIA SALINA 

### . T HIS ORGANISM WAS USE D FOR TOXICITY TESTS 

### ................................ .......... 24 F IG 

### . 6: P

HOTOS OF THE EXPERIM ENTAL DESIGN OF THE ACCUMULATION TE ST 

### . L.: ALL NINE AQUARIUMS WITH AERATION PUMP 

### . M.: CLOSE VIEW ON TO AN AQUARIUM WITH AERAT ION STONE AND MUSSEL S PLACED ON THE 

### PVC NET 

### . ................................ ................................ ................................ ................................ ................ 26 F IG 

### . 7: L EFT 

### : D IFFERENT AMOUNTS OF ACIDIFIED 

### ( P 

### H 4) J ADE 

### B AY SEAWATER MIXED WI TH NON


### - ACIDIFIED 

### J ADE 

### B AY SEAWATER 

### . G IVEN IS THE DEVELOPM ENT OF P 

### H OVER TIME IN RELATI ON TO THE PERCENTAGE OF P 

### H 4 WATER 

### . R IGHT 

### : SAME AS LEFT BUT ON LY 

### 50 : 50 MIXING RATIO WITH D IFFERENT VOLUMES 

### . ........................ 29 F IG 

### . 8: L EFT 

### : 50 : 50 MIXING RATIO OF ACI DIFIED 

### ( P 

### H 4) J ADE 

### B AY AND NATURAL 

### J ADE 

### B AY SEAWATER 

### , WITH DIFFERENT STIR BAR R OTATION SPEEDS 

### . R IGHT 

### : P 

### H

- VALUE IN EQUILIBRIUM IN DEPENDENCY OF MI XING RATIO 

### (% P 

### H 4 SEAWATER



### )
................................ ................................ ................................ ................................ ...... 29 F IG 

### . 9: L EFT 

### : D IFFERENT AMOUNTS OF ACIDIFIED 

### ( P 

### H 4) E MS 

### R IVER WATER MIXED WIT H NON ACIDIFIED 

### E MS 

### R IVER WATER 

### . G IVEN IS THE DEVELOPM ENT OF P 

### H OVER TIME 

### . R IGHT 

### : P 

### H

- VALUE IN EQUILIBR IUM AS FUNCTION OF MIXING R ATIO 

### (% P 

### H 4 SEAWATER 

### )
................................ ................................ ......................... 30 F IG 

### . 10: L EFT 

### : D IFFERENT AMOUNTS OF ACIDIFIED 

### ( P 

### H 4) O DENSE SEAWATER MIXED WITH NON ACIDIFIED 

### O DENSE SEAWATER 

### . G IVEN IS THE DEVELOPM ENT OF P 

### H OVER TIME 

### . R IGHT



### : P 

### H

- VALUE IN EQUILIBRIUM AS FUNCTION OF MIXING R ATIO 

### (% P 

### H 4 SEAWATER 

### )
................................ ................................ ......................... 30 F IG 

### . 11: L EFT 

### : D IFFERENT AMOUNTS OF ACIDIFIED 

### ( P 

### H 4) C ALAIS SEAWATER MIXED WITH NON ACIDIFIED 

### C ALA IS SEAWATER 

### . G IVEN IS THE DEVELOPM ENT OF P 

### H OVER TIME 

### . R IGHT 

### : P 

### H

- VALUE IN EQUILIBRIUM AS FUNCTION OF MIXING RATIO 

### (% P 

### H 4 SEAWATER 

### )
................................ ................................ ................................ .......... 31 F IG 

### . 12: L EFT 

### : D IFFERENT AMOUNTS OF ACIDIFIED 

### ( P 

### H 4) D OVE R SEAWATER MIXED WIT H NON ACIDIFIED 

### D OVER SEAWATER 

### . G IVEN IS THE DEVELOPM ENT OF P 

### H. R IGHT 

### : P



### H

- VALUE IN EQUILIBRIUM AS FUNCTION OF MIX ING RATIO 

### (% P



### H 4 SEAWATER 

### )
................................ ................................ ................................ ............................ 31 F IG 

### . 13: L EFT 

### : P 

### H

- VALUE IN EQUILIBRIUM OF MIXIN G RATIO 

### (% P 

### H 4 SEAWATER 

### ) FOR ALL PRELIMINARY P 

### H TRIALS 

### . R IGHT 

### : M EAN OF ALL TRIALS WI TH STANDARD DEVIATIO N 

### . ................................ ............................. 32 F IG 

### . 14: L EFT 

### : MEAN P 

### H VALUE 

### ( POINTS 

### ) AND STANDARD DEVIAT ION 

### ( ERROR BARS 

### ) IN EQUILIBRIUM OF M IXING RATIO 

### (% P



### H 4 SEAWATER 

### ) FOR ALL PRELIMINARY P 

### H TRIALS 

### . T HE BLACK LINE SHOWS THE MODEL FITTED TO THE POINTS AND TH E RED LINE SHOWS THE 

### 95 % CONFIDENCE INTERVAL OF THE MODEL 

### . R IGHT 

### : CHANGE OF P 

### H OVER PERCENTAGE 

### ................................ ................................ ................................ .............................. 32 F IG 

### . 15: R ESULTS OF PRELIMINAR Y TRIALS FOR THE DET ERMINATION OF THE RE COVERY RATES OF 

### PAH S FROM SEAWATER 

### . ................................ ................................ ................................ ................................ .................... 38

### IV

F IG 

### . 16: R

ESULTS OF PRELI MINARY TRIALS FOR TH E DETERMINATION OF R ECOVERY RATES OF 

### PAH S FROM SEAWATER 

### . ................................ ................................ ................................ ................................ .................... 38 F IG 

### . 17: R

ESULTS OF PRELIMINAR Y TRIALS FOR THE DET ERMINATION OF RECOVE RY RATES OF 

### PAH S FROM SEAWATER 

### . ................................ ................................ ................................ ................................ .................... 38 F IG 

### . 18: R ECOVERY RATES OF THE SOLUBLE 

### PAH S FROM NATURAL SEAWA TER WITH 

### C HROMABOND 

### SPE SORBENT 

### C18 EC AND ELUTION SOLV ENT 

### DCM. L EFT 

### : C ALAIS SEAWATER 

### R IGHT 

### : D OVER SEAWATER 

### . ...................... 39 F IG 

### . 19: F

RACTIONATION OF 

### PAH S BETWEEN DISSOLVED AND PARTICULATE FRAC TION AFTER DIFFERENT INCUBATION TIMES 

### . ................................ ................................ ................................ ................................ ....... 40 F IG 

### . 20: M EAN RECOVERY RATE AN D STANDARD D EVIATION FOR EIGHT E XTRACTIONS OF 

### D OVER SEAWATER AND PARTICULATE FRACTION 

### . ................................ ................................ ................................ ............................... 40 F IG 

### . 21: T HE AUXILIARY ENGINES AND 

### SWS RUNNING AT THE 

### 24.03.04
................................ ............................... 46 F IG 

### . 22: L EFT 

### : C

OPPER CONCENTRATION 

### [ PPB 

### ] R IGHT 

### : M ANGANESE CONCENTRATI ON 

### [ PPB 

### ] DETERMINED FOR 

### E COSILENCER INLET AND OUTLET SAMPLES TAKE N IN 

### C ALAIS 

### , D OVER AND THE 

### C HANNEL ON 

### 23/24.03.2004 AND ON 

### 11.02.2004. IAPSO: A TLANTIC WATER SALINI TY STA NDARD 

### ................................ .......................... 49 F IG 

### . 23: L EFT 

### : Z INC CONCENTRATION 

### [ PPB 

### ] R IGHT 

### : B ARIUM CONCENTRATION 

### [ PPB 

### ] DETERMINED FOR 

### E COSILENCER INLET AND OUTLET SAMPLES TAKE N IN 

### C ALAIS 

### , D OVER AND THE 

### C HANNEL ON 

### 23/24.03.2004 A ND ON 

### 11.02.2004. IAPSO: A TLANTIC WATER SALINI TY STANDARD 

### ................................ .......................... 50 F IG 

### . 24: L EFT 

### : L ITHIUM CONCENTRATION 

### [ PPB 

### ] R IGHT 

### : S TRONTIUM CONCENTRATI ON 

### [ PPB 

### ] DETERMINED FOR 

### E COSILENCER INLET AND OUTLET SAMPLES TAKEN IN 

### C ALAIS 

### , D OVER AND THE 

### C HANNEL ON 

### 23/24.03.2004 AND ON 

### 11.02.2004. IAPSO: A TLANTIC WATER SALINI TY STANDARD 

### ................................ .......................... 50 F IG 

### . 25: L EFT 

### : C ALCIUM CONCENTRATION 

### [ PPM 

### ] R IGHT 

### : P OTASSIUM CONCENTRATI ON 

### [ PPM 

### ] DETERMINED FOR 

### E COSILENCER INLET AND OUTLET SAMPLES TAKE N IN 

### C ALAIS 

### , D OVER AND THE 

### C HANNEL ON 

### 23/24.03.2004 AND ON 

### 11.02.2004. IAPSO: A TLANTIC WATER SALINI TY STANDARD 

### ................................ .......................... 50 F IG 

### . 26: L EFT 

### : M AGNESIUM CONCENTRATI ON 

### [ PPB 

### ] R IGHT 

### : S ULPHATE CONCENTRATIO N 

### [ PPB 

### ] DETERMINED FOR 

### E COSILENCER INLET AND OUTLET SAMPLES TAKE N IN 

### C ALAIS 

### , D OVER AND THE 

### C HANNEL ON 

### 23/24.03.2004 AND ON 

### 11.02.2004. IAPSO: A TLANTIC WATER SALINI TY STANDARD 

### ................................ .......................... 51 F IG 

### . 27: P LOT OF ISOMERIC PHEN ANTHRENE 

### / ANTHRACENE RATIOS AG AINST FLUORANTHENE 

### / PYRENE RATIOS FOR ALL SAMPLES TAKEN IN 

### F EBRUARY AND 

### M ARCH 

### ................................ ................................ .......................... 54 F IG 

### . 28: P LOT OF ISOMERIC PHEN ANTHRENE 

### / ANTHRACENE RATIOS AG AINST FLUORANTHENE 

### / PYRENE RATIOS FOR THE SEAWATER SCRUBBE R SAMPLES TAKEN IN 

### F EBRUARY AND 

### M ARCH 

### . ................................ ...................... 55 F IG 

### . 29: R

ESULTS OF THE 

### PCA OF THE HARBOUR SAMPLES 

### ................................ ................................ ................... 57 F IG 

### . 30: R EGRESSION BETWEEN 

### 1 ST AND 

### 2 ND EXTRACTION LEFT 

### : R EGRESSION OF THE AMO UNT OF EXTRACTED PARTICULATE MATERIAL 

### [ G 

### ] RIGHT 

### : R EGRESSION OF ALL 

### PAH S 

### [ NG 

### / L 

### ] ( SUM PARTICULATE 

### , DISSOL VED 

### )
.... 62 F IG 

### . 31: P LOT OF ISOMERIC PHEN ANTHRENE 

### / ANTHRACENE RATIOS AG AINST FLUORANTHENE 

### / PYRENE RATIOS FOR ALL HARBOUR SAMPLES 

### ( LEFT 

### ) AND SEAWATER SCRUBB ER SAMPLES 

### ( RIGHT 

### )
................................ .............. 62 F IG 

### . 32: R

ESULTS OF THE 

### PCA OF THE HARBOUR SAMP LES 

### ................................ ................................ ................... 65 F IG 

### . 33: R

EGRESSION BETWEEN 

### 1 ST AND 

### 2 ND EXTRACTION LEFT 

### : R EGRESSION BETWEEN TH E AMOUNT OF EXTR ACTED PARTICULATE MA TERIAL 

### [ G 

### ]. R IGHT 

### : R EGRESSION OF ALL DET ERMINED 

### PAH CONCENTRATIONS 

### [ NG 

### / L 

### ] ( SUM 

### , PARTICULATE



### , DISSOLVED



### )
................................ ................................ ................................ ....... 71

### V

F IG 

### . 34: P LOT OF ISOMERIC PHEN ANTHRENE 

### / ANTHRACENE RATIOS AG AINST FLUORANTHENE 

### / PYRENE RATIOS FOR ALL SAMPLES 

### ................................ ................................ ................................ ................................ ................. 73 F IG 

### . 35: R

ESULTS OF THE 

### PCA OF THE HARBOUR SAMP LES 

### ................................ ................................ ................... 74 F IG 

### . 36: R EGRESSION BETWEEN THE FIRST AND THE SE COND EXTRACTION 

### . L EFT 

### : FILTER WEIGHTS 

### , RIGHT 

### : PAH CONCENTRATIONS 

### . ................................ ................................ ................................ ................................ ......... 80 F IG 

### . 37: P LOT OF ISOMERIC PHEN ANTHRENE 

### / ANTHRACENE RATIOS AG AINST FLUORANTHENE 

### / PYRENE RATIOS FOR ALL SAM PLES 

### ................................ ................................ ................................ ................................ ................. 82 F IG 

### . 38: R

ESULTS OF THE 

### PCA OF THE HARBOUR SAMP LES 

### ................................ ................................ ................... 83 F IG 

### . 39: S ALINITY 

### , TEMPERATURE 

### , AND P 

### H MEASURED AT POINT 

### C AL 

### 1 AND 

### C AL 

### 2
................................ ............. 84 F IG 

### . 40: S ALINITY 

### , TEMPERATURE 

### , AND P 

### H MEASURED AT POINT 

### C AL 

### 3 AND 

### C AL 

### 4
................................ ............. 84 F IG 

### . 41: S ALINITY 

### , TEMPERATURE 

### , AND P 

### H MEA SURED AT POINT 

### C5 AND 

### C50
................................ ..................... 85 F IG 

### . 42: S ALINITY 

### , TEMPERATURE 

### , AND P 

### H MEASURED AT POINT 

### C350 AND 

### C750
................................ ............... 85 F IG 

### . 43: S ALINITY 

### , TEMPER ATURE 

### , AND P 

### H MEASURED AT POINT 

### D OV 

### 1 AND 

### D OV 

### 2
................................ ............ 86 F IG 

### . 44: S ALINITY 

### , TEMPERATURE 

### , AND P 

### H MEASURED AT POINT 

### D OV 

### 3 AND 

### D OV 

### 4
................................ ............ 86 F IG 

### . 45: S ALINITY 

### , TEMPERATURE 

### , AND P 

### H MEASURED AT POINT 

### D5 AND 

### D50
................................ ..................... 86 F IG 

### . 46: S ALINITY 

### , TEMPERATURE 

### , AND P 

### H MEASURED AT POINT 

### D350 AND 

### D700
................................ ............... 86 F IG 

### . 47: S ALINITY 

### , TEMPERATURE 

### , AND P 

### H MEASURED AT POINT 

### SD1 AND 

### SD2
................................ .................. 88 F IG 

### . 48: S ALINITY 

### , TEMPERATURE 

### , AND P 

### H MEASURED AT POINT 

### SC1 AND 

### SC2
................................ ................... 88 F IG 

### . 49: S ALINITY 

### , TEMPERATURE 

### , AND P 

### H MEASURED AT POINT 

### SCH1 AND 

### SCH2
................................ ............. 88 F IG 

### . 50: T EMPERATURE DEPENDENC Y OF P 

### H. T HE RED LINE SHOWS TH E COURSE OF THE P 

### H WHEN TH E SAMPLE WAS HEATED AND THE B LUE LINE SHOWS THE C OURSE OF THE P 

### H WHEN THE SAMPLE WAS COOLED DOWN AGAIN 

### . ................................ ................................ ................................ ................................ ........................... 88 F IG 

### . 51: S ALINITY 

### , TEMPERATURE 

### , AND P 

### H MEASURED AT POINT 

### SCH3 AND 

### SCH5
................................ ............. 89 F IG 

### . 52: S ALINITY 

### , TEMPERATURE 

### , AND P 

### H MEASURED AT POINT 

### SCH6
................................ ............................... 89 F IG 

### . 53: P



### H AND SALINITY IN THE HARBOUR OF 

### D OVER 

### . T RIANGLES REPRESENT T HE NATURAL VARIABILITY DURING ALL SAMPLINGS IN 

### 2004. D IAMONDS REPRESENT TH E VALUES OF THE TRAN SECT SAMPLES 

### . ............ 90 F IG 

### . 54: P



### H AND SALINITY IN THE HARBOUR OF 

### C ALAIS 

### . T RIANGLES REPRESENT T HE NATURAL V ARIABILITY DURING ALL SAMPLINGS IN 

### 2004. D IAMONDS REPRESENT TH E TRANSECT VALUES 

### . ................................ ....... 90 F IG 

### . 55: P 

### H IMPACT OF 

### SWS EFFLUENTS ON THE RE CEIVING HARBOUR WATE R IN 

### D OVER AND 

### C

ALAIS AT THREE SAMPLING 

### (J U LY 

### , S EPT 

### . AND 

### N OV 

### .)
................................ ................................ ................................ ............... 91 F IG 

### . 56: T EMPERATURE 

### [°C] IMPACT OF 

### SWS EFFLUENTS ON THE RE CEIVING HARBOUR WATE R IN 

### D OVER AND 

### C ALAIS AT THREE SAMPL ING 

### (J ULY 

### , S EPT 

### . AND 

### N OV 

### .)
................................ ................................ .................. 91 F IG 

### . 57: T EMPERATURES 

### [°C] OF HARBOUR AND TRAN SECT SAMPLES 

### . ................................ ................................ .. 91 F IG 

### . 58: N ITRATE CONCENTRATION S 

### [ μMOL L

- 1 

### ] OBSERVED DURING ALL SAMPLINGS 

### . L EFT 

### : P ORT OF 

### C ALAIS 

### . R IGHT 

### : P ORT OF 

### D OVER 

### ................................ ................................ ................................ ................................ . 92 F IG 

### . 59: R

EGRESSION BETWEEN 

### 1 ST AND 

### 2 ND EXTRACTION LEFT 

### : R EGRESSION BETWEEN TH E AMOUNT OF EXTRACTED PARTICULAT E MATERIAL 

### [ G 

### ]. R IGHT 

### : R EGRESSION OF ALL DET ERMINED 

### PAH CONCENTRATIONS 

### [ NG 

### / L 

### ] ( SUM 

### , PARTICULATE



### , DISSOLVED



### )
................................ ................................ ................................ ....... 97 F IG 

### . 60: R ESULTS OF THE 

### PCA OF ALL HARBOUR SAMP LES TAKEN IN 

### F EBRUARY 

### (F), M ARCH 

### (M), J ULY 

### (J), N OVEMBER 

### (N) AND 

### S EPTEMBER 

### (S)
................................ ................................ ................................ ............. 98

### VI

F IG 

### . 61: P LOT OF ISOMERIC PHEN ANTHRENE 

### / ANTHRACENE AND FLUOR ANTHENE 

### / PYRENE RATIOS OF THE SEDIMENT SAMPLES TAKEN IN 

### D OVER AND 

### C ALAIS IN 

### J ULY 

### , S EPTEMBER AND 

### N OVEMBER 

### . ................................ ........ 106 F IG 

### . 62: P RINCIPAL COMPONENT A NALYSIS OF THE RELAT IVE 

### PAH CONCENTRATIONS 

### ( PERCENTAGES 

### ) OF THE WATER 

### , SEDIMENT AND MUSSEL SAMPLES TAKEN IN 

### D OVER AND 

### C ALAIS IN 

### J ULY 

### , S EPTEMBER AND 

### N OVEMBER 

### . F IRST LETTER 

### : W= WATER SAMPLE 

### , S= SEDIMENT SAMPLE 

### , M= MUSSEL SAMPLE 

### (SMAL= SMALL 

### 20

- 30 MM 

### , MEDI= MEDIUM 

### 30

- 40 MM 

### , LARG= LARGE 

### 40

- 50 MM 

### ). S ECOND LETTER 

### : J=J ULY 

### , S=S EPTEMBER 

### , N=N OVEMBER 

### . L AST FOUR LETTERS 

### : SAMPLING POINT 

### . ................................ ................................ .............. 107 F IG 

### . 63: R

ESULTS OF 

### L UMISTOX TEST 

### . S HOWN ARE THE DIFFERE NCES BETWEEN SEAWATE R SCRUBBER INLET AND OUTLET WATER TAKEN D URING THE SAMPLING I N 

### S EPTEMBER 

### . T HE P 

### H SHOWN WAS THE P 

### H OF THE OUTLET SAMPLE 

### ................................ ................................ ................................ ................................ ........................ 109 F IG 

### . 64: MEAN PERCENTAGES OF SHELL 

### , DRY AND WET TISSUE WEIGHT FOR ALL MUSSE LS USED IN THE ACCUMULATION TEST 

### . L EFT 

### : PERCENTAGES FOR EAC H TEST 

### . R IGHT 

### : MEAN FOR ALL TESTS 

### ........................ 112 F IG 

### . 65: C ORRELATION PLO TS 

### . L EFT 

### : WHOLE WET WEIGHT AG AINST LENGTH 

### . R IGHT 

### : SHELL WEIGHT AGAINS T LENGTH 

### . I N BOTH CASES THE RED LINE SHOWS THE NONL INEAR MODEL AND THE BLACK LINES THE 

### 95 % CONFIDENCE INTERVAL 

### ................................ ................................ ................................ ................................ 113 F IG 

### . 66: C

ORRELATION PLOTS 

### : L EFT 

### : WET TISSUE WEIGHT A GAINST LENGTH 

### . M IDDLE 

### : DRY TISSUE WEIGHT AGAINST LENGTH 

### . R IGHT 

### : DRY TISSUE WEIGHT A GAINST WET TISSUE WE IGHT 

### . I N BOTH CASES THE RED LINE SHOWS THE NONLINEAR MODEL AND THE BLACK LINES THE 

### 95 % CONFIDENCE INTERVAL 

### .......................... 113 F IG 

### . 67: L EFT 

### : C OMPARISON OF 

### PAH CONCENTRATIONS DETE RMINED IN THE STANDA RD MUSSEL TISSUE AND THE ORIGINAL CONCENTRATI ONS 

### . R IGHT 

### : CORRELATION COEFFIC IENTS 

### , STEEPNESS AND SECTI ON OF THE EXTER NAL REFERENCE LINES 

### ................................ ................................ ................................ ....................... 115 F IG 

### . 68: M EAN CONCENTRATIONS O F THE ADDED 

### PAH S 

### , DETERMINED FOR THE DIFFERENT ACCUMULATI ON TESTS 

### .

................................ ................................ ................................ ................................ ................................ .... 116 F IG 

### . 69: M EAN CONCENTRATIONS O F THE 

### PAH S WHICH WERE NOT ADD ED DURING THE TEST 

### , DETERMINED FOR THE DIFFERENT ACCUMU LATION TESTS 

### . ................................ ................................ ................................ ....... 116 F IG 

### . 70: C

ONCENTRATIONS OF PHE NANTHRENE 

### , ANTHRACENE 

### , FLUORANTHENE 

### , PYRENE AND CHRYSENE IN NG L - 1 MEASURED IN THE AQUA RIUMS OF THE CONTROL S 

### , THE PARTICULATE AND THE DISSOLVED TEST ONE HOUR AFTER A WATER EXCHAN GE AND RIGHT BEFORE THE FOLLOWING WATER EXCHANGE 

### (3 DAYS 

### ). C ONCENTRATIONS ARE SE PARATED INTO THE DIS SOLVED AND THE PARTICULATE FRACTIO NS 

### . ................... 118

### VI I



# List of tables
T ABLE 

### 1: C OMPOSITIONS OF MIXTU RES FOR P 

### H

- B UFFER


### - C APACITY MIX TEST 

### . (M IXTURES WRITTEN IN I TALICS WERE NOT PERFORMED F OR EVERY TRIAL 

### )
................................ ................................ ................................ ...... 5 T ABLE 

### 2: P ROPERTIES OF THE DIF FERENT RIVER


### - AND SEAWATER SAMPLE S USED FOR THE PRELI MINARY TRIALS 

### .. 5 T ABLE 

### 3: S AMPLING POINTS IN 

### D OVER 

### 11.02.2004 AND 

### 24.03.2004

- 05

- 28
................................ .......................... 11 T ABLE 

### 4: S AMPLING POINTS IN 

### C ALAIS 

### ................................ ................................ ................................ ................. 11 T ABLE 

### 5: S AMPLING POINTS ON BO ARD 

### „P RIDE OF KENT 

### “
................................ ................................ ..................... 11 T ABLE 

### 6: S AMPLING POINTS IN 

### C ALAIS FOR THE SAMPLI NGS IN 

### J ULY 

### , S EPTEMBER AND 

### N OVEMBER 

### .................... 13 T ABLE 

### 7: S AM PLING POINTS IN 

### D OVER FOR THE SAMPLIN GS IN 

### J ULY 

### , S EPTEMBER AND 

### N OVEMBER 

### ..................... 13 T ABLE 

### 8: EBB AND FLOW DATES FOR ALL SAMPLINGS 

### ( HTTP 

### :// WWW 

### . MOBILEGEOGRAPHICS 

### . COM 

### )
........................ 13 T ABLE 

### 9: C OORDINATES OF SAMPLI NG POIN TS AND TIME AND DATE FOR SAMPLINGS 

### ................................ ........... 14 T ABLE 

### 10: G ROUPS OF 

### PAH S DEFINED FOR 

### GC

- MS SIM

- METHOD 

### ................................ ................................ ....... 15 T ABLE 

### 11: S TRUCTURES AND MAJOR PHYSICAL PROPERTIES OF THE 

### 16 EPA

- PAH S 

### ................................ ............. 18 T ABLE 

### 12: C ATEGORIZATION OF THE ACCUMULATION TESTS 

### . ................................ ................................ ............... 25 T ABLE 

### 13: MEAN 

### PAH COMPOSITION IN THE SEAWATER SCRUBBER OU TLET SAMPLES 

### (M ARCH AND 

### J ULY 

### ), PAH CONCENTRATIONS IN TH E ACETONE SOLUTION A ND RESULTING 

### PAH CONCENTRATION IN TH E AQUARIUM 

### .. 26 T ABLE 

### 14: DATES FOR WATER EXC HANGE DURING THE ACC UMULATION TEST 

### ................................ ...................... 27 T ABLE 

### 15: V ALUES OBTAINED BY FI TTING EQU 

### . 12 TO THE P 

### H

- VALUES 

### ................................ ................................ 33 T ABLE 

### 16: S TANDARD D EVIATION OF THREE DI FFERENT STANDARD DIL UTION SERIES 

### . ................................ ......... 34 T ABLE 

### 17: A CCURACY OF THE 

### GC MS ( INCLUDING 

### I NJ 

### STD, I

NTEGRATION AND MEASU REMENT 

### )
........................ 35 T ABLE 

### 18: F

- T EST FOR LINEARITY OF THE 

### GC MS. S HOWN RESUL TS WERE CALCULATED W ITH ALL DILUTION STEPS RANGING FROM 

### 2,5 TO 

### 1000 μG L - 1



### ................................ ................................ ................................ ....... 35 T ABLE 

### 19: F

- T EST FOR LINEARITY OF THE 

### GC MS. S HOWN RESULTS WERE CA LCULATED WITH ALL DI LUTION STEPS RANGING FROM 

### 2,5 TO 

### 100 μG L


### - 1
................................ ................................ ................................ ........ 36 T ABLE 

### 20: L IMIT OF DETECTION 

### (LOD) FOR DETERMINED 

### PAH S 

### ................................ ................................ .......... 36 T ABLE 

### 21: M

EAN RECOVERY RATES A ND STANDARD DEVIATIO N DETERMINED FOR PRE LIMINARY TRIALS WITH ARTIFICIAL SEAWATER 

### . ................................ ................................ ................................ ................................ .. 39 T ABLE 

### 2 2: A IR AND WATER TEMPERA TURE 

### [°C], SALINITY 

### [PSU], P 

### H VALUE AND OXYGEN 

### [ MG L - 1 

### ] DURING SAMPLING IN 

### C

ALAIS HARBOUR ON 

### 11.2.2004
................................ ................................ ............................... 41 T ABLE 

### 23: W

ATER TEMPERATURE 

### [°C], SALINITY 

### [PSU] AND P 

### H

- VALUE DURING SAMPLIN G IN 

### D OVER HARBOUR O N 

### 11.2.2004
................................ ................................ ................................ ................................ ................. 41 T ABLE 

### 24: CONCENTRATIONS OF T HE 

### I NTERNATIONAL 

### A SSOCIATION FOR 

### P HYSICAL 

### S CIENCE OF THE 

### O CEAN STANDARD FOR NATURAL ATLANTIC SEAWATER 

### . ................................ ................................ .......................... 42 T ABLE 

### 25: S ULPHATE 

### , EARTH AND TRANSITIO N METAL S DETERMINED FOR THE SAMPLES TAKEN ON 

### 11.02.2004. F IELDS SIGNED WITH 

### ”

- “ SHOW CONCENTRATIONS BELOW DETECTION LIM IT 

### . ................................ ................ 43 T ABLE 

### 26: N UTRIENT CONCENTRATIO NS DETERMINED FOR TH E SAMPLES TAKEN ON 

### 11.02.2004
......................... 43 T ABLE 

### 27: R EGRESSION OF 

### S AMPLE POINTS 

### (S AMPLING 

### 11.2.04). C OLOURS ARE ADDED FOR A BETTER VISUALISATION 

### . Y ELLOW HIGHLY CORRELA TED 

### , RED MODERATE OR LOW CORRELATION 

### , DARK RED NO SIGNIFICANT 

### . CORRELATION 

### . ................................ ................................ ................................ ......................... 45

### VIII

T ABLE 

### 28: R

EGRES SION OF COMPOUND CON CENTRATIONS DETERMIN ED FOR THE SAMPLES T AKEN ON 

### 11.2.04. C OLOURS ARE ADDED FOR A BETTER VISUALISAT ION 

### . Y ELLOW HIGHLY CORRELA TED 

### , RED MODERATE OR LOW CORRELATION 

### , DARK RED NO SIGNIFI CANT CORRELATION 

### . ................................ ................................ .... 45 T ABL E 

### 29: A IR AND WATER TEMPERA TURE 

### [°C], SALINITY 

### [PSU], P 

### H VALUE AND OXYGEN 

### [ MG L - 1 

### ] DURING SAMPLING IN 

### C

ALAIS HARBOUR ON 

### 23.3.2004
................................ ................................ ............................... 46 T ABLE 

### 30: A IR AND WATER TEMPERA TURE 

### [°C], SALINITY 

### [PSU], P 

### H VALUE AND OXYGEN 

### [ MG L - 1 

### ] DURING SAMPLING IN 

### D OVER HARBOUR ON 

### 24.3.2004
................................ ................................ ............................... 47 T ABLE 

### 31: A IR AND WATER TEMPERA TURE 

### [°C], SALINITY 

### [PSU], P 

### H VALUE AND OXYGEN 

### [ MG L - 1 

### ] DURING SAMPLING IN 

### D OVER HARBOUR ON 

### 24.3.2004
................................ ................................ ............................... 47 T ABLE 

### 32: S ULPHAT E 

### , EARTH AND TRANSITIO N METAL CONCENTRATIO NS DETERMINED FOR TH E SAMPLES TAKEN IN 

### J ULY 

### ................................ ................................ ................................ ................................ .......................... 49 T ABLE 

### 33: N UTRIENT CONCENTRATIO NS DETERMINED FOR TH E SAMPLES TAKEN ON 

### 24.03.2004
......................... 52 T ABLE 

### 34: I NDICES FOR T HE DETERMINATION OF THE ORIGIN OF THE 

### PAH S 

### (S AMPLES 

### 11.02.04)
........................ 53 T ABLE 

### 35: I NDICES FOR THE DETER MINATION OF THE ORIG IN OF THE 

### PAH S 

### (H ARBOUR 

### S AMPLES 

### 24.03.04)
....... 53 T ABLE 

### 36: I NDICES FOR THE DETER MINA TION OF THE ORIGIN O F THE 

### PAH S 

### (H ARBOUR 

### E COSILENCER 

### S AMPLES 

### 24.03.04)
................................ ................................ ................................ ................................ ....................... 54 T ABLE 

### 37: I

NDICES FOR THE DETER MINATION OF THE ORIG IN OF THE 

### PAH S 

### (C ANNEL OF 

### D OVER 

### E COSILENCER 

### S AMPLES 

### 24.03.04)
................................ ................................ ................................ ................................ ........ 54 T ABLE 

### 3 8: R EGRESSION CHART FOR THE ANALYSIS OF THE SAMPLING POINTS 

### (S AMPLING 

### M ARCH 

### ). C OLOURS ARE ADDED FOR A BETTER V ISUALISATION 

### . Y ELLOW HIGHLY CORRELA TED 

### , ORANGE AND RED MODE RATE OR LOW CORRELATION 

### , DARK RED NO SIGNIFI CANT 

### . CORRELATION 

### . ................................ ................................ ........... 55 T ABLE 

### 39: R

EGRESSION OF COMPOUN D CONCENTRATIONS DET ERMINED FOR THE 

### S AMPLES TAKEN ON 

### 24.03.04. C OLOURS ARE ADDED FOR A BETTER VISUALISAT ION 

### . Y ELLOW HIGHLY CORRELA TED 

### , RED MODERATE OR LOW CORRELATION 

### , DARK RED NO SIGNIFI CANT 

### . CORRELATION 

### . ................................ ................................ ... 56 T ABLE 

### 40: FEATURE VECTOR FOR THE 

### PCA OF THE HARBOUR SAMP LES 

### ................................ ................................ 57 T ABLE 

### 41: T EMPERATURE 

### , SALINITY AND P 

### H DATA MEASURED AT TH E DIFFERENT SAMPLING POINTS IN 

### C ALAIS HARBOUR 

### ................................ ................................ ................................ ................................ ....................... 58 T AB LE 

### 42: T EMPERATURE 

### , SALINITY AND P 

### H DATA MEASURED AT TH E DIFFERENT SAMPLING POINTS IN 

### D OVER HARBOUR 

### ................................ ................................ ................................ ................................ ....................... 58 T ABLE 

### 43: S EAWATER SCRUBBER TEM PERATURES 

### , SALINITIES AND P 

### H DATA 

### ................................ ....................... 59 T ABLE 

### 44: C HLOROPHYLL 

### , SE STON AND NUTRIENT CO NCENTRATIONS DETERMI NED FOR THE SAMPLES TAKEN IN 

### J ULY 

### 2004
................................ ................................ ................................ ................................ ...................... 60 T ABLE 

### 45: Q UOTIENT OF BENZ 

### [ A 

### ] ANTHRACENE AND CHRYS ENE 

### . ................................ ................................ .......... 63 T ABLE 

### 46: R EGRESSION OF 

### PAH COMPONENTS 

### , YELLOW SHOWS HIGH CORRELATION 

### ................................ .......... 63 T ABLE 

### 47: R

EGRESSION OF SAMPLIN G POINTS 

### . C OLOURS ARE ADDED FOR A BETTER VISUALISAT ION 

### . Y ELLOW HIGHLY CORRELATED 

### , DARK RED NO SIGNIFI CANT CORRELATION 

### . ................................ ................................ 6 4 T ABLE 

### 48: FEATURE VECTOR FO R THE 

### PCA OF THE HARBOUR SAMP LES 

### ................................ ................................ 65 T ABLE 

### 49: T EMPERATURE 

### , SALINITY AND P 

### H DATA MEASURED AT TH E DIFFERENT SAMPLING POINTS IN 

### C ALAIS HARBOUR IN 

### S EPTEMBER 

### ................................ ................................ ................................ ............................... 66

### IX

T ABLE 

### 50: T EMPERATURE 

### , SALINITY AND P 

### H D ATA MEASURED AT THE DIFFERENT SAMPLING P OINTS IN 

### D OVER HARBOUR IN 

### S EPTEMBER 

### ................................ ................................ ................................ ............................... 66 T ABLE 

### 51: T EMPERATURE 

### , SALINITY AND P 

### H DATA MEASURED AT TH E DIFFERENT SAMPLING POINTS IN THE SEAWATER SCRUBBER IN 

### S EPTEMBER 

### ................................ ................................ ................................ ............ 67 T ABLE 

### 52: C HLOROPHYLL 

### , SESTON AND NUTRIENT CONCENTRATIONS DETE RMINED FOR THE SAMPL ES TAKEN IN 

### S EPTEMBER 

### 2004
................................ ................................ ................................ ................................ ........... 68 T ABLE 

### 53: S ULPHATE 

### , EARTH AND TRANSITIO N METALS DETERMINED FOR THE SAMPLES TAKE N IN 

### S EPTEMBER 

### . 69 T ABLE 

### 54: R

EGRESSION OF COMPOUN DS 

### . C OLOURS ARE ADDED FOR A BETTER VISUALISAT ION 

### . Y ELLOW HIGHLY CORRELATED 

### , DARK RED NO SIGNIFI CANT CORRELATION 

### . ................................ ................................ ............. 72 T ABLE 

### 55: R

EGRESSION OF SAMPLIN G POINTS 

### . C OLOURS ARE ADD ED FOR A BETTER VISU ALISATION 

### . Y ELLOW HIGHLY CORRELATED 

### , DARK RED NO SIGNIFI CANT CORRELATION 

### . ................................ ................................ 72 T ABLE 

### 56: T HE QUOTIENT OF BENZ 

### [ A 

### ] ANTHRACENE TO CHRYSE NE CAN BE USED AS MA RKER FOR THE ORIGIN OF A SAMPLE 

### ................................ ................................ ................................ ................................ .......................... 73 T ABLE 

### 57: FEATURE VECTOR FOR THE 

### PCA OF THE HARBOUR SAMP LES 

### ................................ ................................ 74 T ABLE 

### 58: T EMPERATURE 

### , SALINITY AND P 

### H DATA MEASURED AT TH E DIFFERENT SAMPLING POINTS IN 

### C ALAIS HARBOUR IN 

### N OVEMBER 

### ................................ ................................ ................................ ................................ 75 T ABLE 

### 59: T EMPERATURE 

### , SALINITY AND P 

### H DATA MEASURED AT TH E DIFFERENT SAMPLING POINTS IN 

### D OVER HARBOUR IN 

### N OVEMBER 

### ................................ ................................ ................................ ................................ 76 T ABLE 

### 60: T EMPERATURE 

### , SALINITY AND P 

### H DATA MEASURED AT TH E DIFFERENT SAMPLING POINTS IN THE SEAWATER SCRUBBER HA RBOUR IN 

### N OVEMBER 

### ................................ ................................ ............................ 76 T ABLE 

### 61: S ULPHATE 

### , EARTH AND TRANSITIO N METALS DETERMINED FOR THE SAMPLES TAKE N IN 

### N OVEMBER 

### .. 77 T ABLE 

### 62: SESTON AND NUTRIENT CONCENTRATIONS DETE RMINED FOR THE SAMPL ES TAKEN I N 

### N OVEMBER 

### 2004

................................ ................................ ................................ ................................ ................................ ...... 78 T ABLE 

### 63: R EGRESSION OF 

### PAH COMPOUNDS 

### . C OLOURS ARE ADDED FOR A BETTER VISUALISAT ION 

### . Y ELLOW HIGHLY CORRELATED 

### , DARK RED NO SIGNIFI CANT CORRELATION 

### . ................................ ................................ 81 T ABLE 

### 64: R

EGRESSION OF SA MPLING POINTS 

### . C OLOURS ARE ADDED FOR A BETTER VISUALISAT ION 

### . Y ELLOW HIGHLY CORRELATED 

### , DARK RED NO SIGNIFI CANT CORRELATION 

### . ................................ ................................ 81 T ABLE 

### 65: ISOMERIC RATIOS OF BENZ 

### [ A 

### ] ANTHRACENE AND CHRYS ENE 

### ................................ ................................ 81 T ABLE 

### 66: FEATURE VECTOR FOR THE 

### PCA OF THE HARBOUR SAMP LES 

### ................................ ................................ 83 T ABLE 

### 67: D IFFERENCES BETWEEN T HE INLET AND OUTLET SAMPLES TAKEN FROM T HE SEAWATER SCRUBBER SYSTEM IN 

### C ALAIS 

### , D OVER AND THE 

### C HANNEL 

### . L EFT 

### : P 

### H DIFFERENCE 

### . R IGHT 

### : TEMPERAT URE DIFFERENCE 

### 87 T ABLE 

### 68: C OMPARISON OF SULPHAT E INLET AND OUTLET C ONCENTRATIONS 

### [ PPM 

### ]
................................ ............ 92 T ABLE 

### 69: S UM OF ALL 

### 16 EPA

- PAH S 

### ( PARTICULATE AND DISS OLVED 

### , EXCLUDING NAPHTHALE NE 

### ) CONCENTRATIONS IN NG L - 1 FOR ALL SAMPLINGS 

### ( N 

### . D 

### . = NOT DETERMINED 

### ).
................................ ................ 93 T ABLE 

### 70: PAH CONCENTRATIONS IN N G L - 1



### . L ISTED ARE THE CONCEN TRATIONS OF THE SING LE 

### PAH COMPOUNDS IN ALL SAMPLES 

### . C ONCENTRATIONS ARE GI VEN AS DISSOLVED 

### / PARTICULATE 

### PAH. D ASHES INDICATE CONCENTRATIONS BELOW THE LIMIT OF DETECT ION 

### . ( N 

### . D 

### . = NOT DETERMINED 

### )
................................ ........... 93 T ABLE 

### 71: S UM OF 

### B B 

### F, B GHI 

### P, B K 

### F, B A 

### P, F LUA 

### , I NDE 

### . C ALCULATED AS CARBON WEIGHT 

### ( N 

### . D 

### . NOT DETERMINED 

### )
................................ ................................ ................................ ................................ ................ 95

### X

T ABLE 

### 72: PAH CONCENTRATIONS IN N G L - 1 DETERMINED FOR THE SEAWATER SCRUBBER SA MPLES 

### . L ISTED ARE THE CONCENTRATIONS O F THE SINGLE 

### PAH COMPOUNDS IN ALL SA MPLES 

### . C ONCENTRATIONS ARE GI VEN AS DISSOLVED 

### / PARTICULATE 

### PAH. D ASHES INDICATE CONCE NTRATIONS BELOW THE LIMIT OF DE TECTION 

### . ( N 

### . D 

### .

= NOT DETERMINED 

### )
................................ ................................ ................................ ................................ ...... 95 T ABLE 

### 73: D IFFERENCES 

### [ NG L - 1 

### ] BETWEEN INLET AND O UTLET SAMPLES TAKEN IN 

### M ARCH 

### , J ULY 

### , S EPTEMBER AND 

### N OVEMBER IN 

### D OVER 

### , C ALAIS AND THE 

### C HANNEL 

### . S HOWN ARE THE MEAN 

### , THE STANDARD DEVIAT ION AND THE MINIMUM AND MAXI MUM VALUES 

### . ................................ ................................ ................................ . 96 T ABLE 

### 74: FEATURE VECTOR FOR THE 

### PCA OF ALL HARBOUR SAMP LES TAKEN IN 

### F EBRUARY 

### , M ARCH 

### , J ULY 

### , N OVEMBER AND 

### S EPTEMBER 

### ................................ ................................ ................................ ......................... 98 T ABLE 

### 75: R ESULTS OF PLANKTON C ELL COUNTING 

### . C ONCENTRATIONS ARE GI VEN IN CELLS PER M 

### L.
............... 100 T ABLE 

### 76: DIN DIFFERENCES BETWEEN INLET AND OUTLET SA MPLES TAKEN IN 

### D OVER 

### , C ALAIS AND THE 

### C HANNEL 

### . ................................ ................................ ................................ ................................ .................... 102 T ABLE 

### 77: PAH CONCENTRATIONS 

### [ NG G - 1 

### ] MEASURED IN MUSSELS TAKEN FRO M THE QUAY WALLS AT SAMPLING POINT 

### C0 AND 

### B IO 

### C ONCENTRATION 

### F ACTORS 

### (BCF).
................................ ................................ ............... 102 T ABLE 

### 78: PAH CONCENTRATIONS DETE RMINED FOR SEDIMENT SAMPLES TAKEN IN 

### J ULY 

### , S EPTEMBER AND 

### N OVEMBER 

### ................................ ................................ ................................ ................................ .................. 104 T ABLE 

### 79: PAH COMPOSITION OF THE SEDIMENT SAMPLES TAK EN IN 

### C ALAIS AND 

### D OVER IN 

### J ULY 

### , S EPTEMBER AND 

### N OVEMBER IN PERCENT 

### . ................................ ................................ ................................ ...................... 105 T ABLE 

### 80: F EATURE VECTOR FOR TH E 

### PCA OF THE WATER 

### , SEDIMENT AND MUSSEL SAMPLES TAKEN IN 

### D OVER AND 

### C ALAIS IN 

### J ULY 

### , S EPTEMBER AND 

### N OVEMBER 

### ................................ ................................ .................... 107 T ABLE 

### 81: R ESULTS OF THE BRINE SHRIMP TEST PERFORME D WITH 

### 24 H OLD JUVENILE 

### A RTEMIA SALINA 

### ............ 110 T ABLE 

### 82: R ESULTS OF THE BRINE SHRIMP TEST PERFORME D WITH 

### 4 W

EEKS OLD JUVENILE 

### A RTEMIA SALINA 

### ..... 110 T ABLE 

### 83: LENGTH 

### [ MM 

### ] OF ALL MUSSELS EMPL OYED FOR THE ACCUMUL ATION TEST 

### . T HE COLOURS SEPARATE THE TABLE IN THE MAI N CLASSES USED FOR T HE 

### PAH DETERMINATION 

### . T HE FIRST CLASS SMALL ER THAN 

### 50 MM AND THE SECOND CLAS S BETWEEN 

### 50 MM AND 

### 60 MM 

### ................................ ................................ .......... 112 T ABLE 

### 84: R ESULTS OF LINEAR AND NONLINEAR REGRESSIO N 

### ................................ ................................ ............ 113 T ABLE 

### 85: PAH CONCENTRATIONS 

### [ NG G - 1 

### ] DETERMINED FOR THE MUSSELS FROM THE ACC UMULATION TEST 

### . W RITTEN IN ITALICS AR E THOSE COMPOUNDS AD DED DAILY 

### . EXT ARE THE MUSSELS TAKEN FROM THE EXTERNAL BASIN 

### , 02, 05 AND 

### 08 ARE THE CONTROLS 

### , 03, 06 AND 

### 09 ARE THE MUSSELS FRO M THE DISSOLVED TEST AND 

### 01, 04 AND 

### 07 ARE THE MUSSELS FRO M THE PARTICULATE TE ST 

### . ................................ ................ 115 T ABLE 

### 86: EXPECTED 

### PAH CONCENTRATIONS IN T HE MUSSELS IF ALL AD DED 

### PAH S WOULD HAVE BEEN ACCUMULATED 

### ................................ ................................ ................................ ................................ ............ 116 T ABLE 

### 87: PERCENTAGE OF ACCUM ULATED 

### PAH S 

### , CALCULATED AS QUOTI ENT OF EXPECTED AND OBSERVED 

### PAH C ONCENTRATION IN THE MUSSELS 

### . ................................ ................................ ................................ .............. 117 T ABLE 

### 88: P 

### H, SALINITY AND TEMPER ATURE DETERMINED IN THE AQUARIUMS DURING THE TEST 

### ..................... 119 T ABLE 

### 89: T OTAL 

### PAH AMOUNTS 

### [ MG 

### ] THAT WILL BE THEORE TICALLY INTRODUCED D URING ONE DAY INTO THE PORTS OF 

### D OVER AND 

### C ALAIS AND THEORETICA L CONCENTRATION INCR EASE 

### [ PG L - 1 

### ]
.............................. 120 T ABLE 

### 90: M EAN ACCUMULATION RAT E 

### , TOTAL ACCUMULATION PER DAY AND YEAR AND RESULTING CONTAMINATION AFTER ONE YEAR FOR A 

### 20 MM MUSSEL 

### . ................................ ................................ .......... 120

### XI

T ABLE 

### 91: M EAN SHELL INDEX AND FAT CONTENT DETERMIN ED FOR THE MUSSELS O F THE ACCUMULATION T EST AND FOR THE MUSSELS TAKEN IN 

### C ALAIS 

### ................................ ................................ ................................ .... 121

### XII



# Abbreviations

Anth Anthracene BaA Benz[ a ]anthrace ne Chry Chrysene DCM Dichloromethane DIN Dissolved inorganic nitrogen DIN Deutsche Industrie Norm DOM Dissolved organic material DOP Dissolved organic phosphorus EPA Environmental Protection Agency Flu Fluoranthene FMN Flavin mononucleo tid GC
- FID Gas
- Chromatography Flame Ionisation Detector GC
- MS Gas
- Chromatography Mass Spectroscopy IAPSO International Association for Physical Science of the Ocean ICP
- OES Inductively Coupled Plasma Optical Emission Spectroscopy IDL Instrument Detection Limit InjSTD Injection Standard ISTD Internal Standard LOD Limit of Detection PAH Polycyclic Aromatic Hydrocarbon Phe Phenanthrene PIP Particulate inorganic phosphorus PoK “Pride of Kent” the ferry on which the seawater scrubber is installed POP particulate organic phosphorus Pyr Pyrene RDP Reactive dissolved phosphorus SI Shell Index SIM Single Ion Monitoring SPE Solid Phase Extraction SQU Squalane (used as Injection Standard) SWS Seawater scrubber TBrB 1,2,4,5 - Tetrabromobenzene (used as Injection Standard) TDP Total dissolved phosphorus TCHL Total chlorophyll TPP total particulate phosphorus

### 1 Project description 2 Summary

1 

# 1 Project description In May 2003 BP
- Marine in co
- operation with P&O Ferries built a flue gas desulphurisation sy stem prototype manufactured by DME Canada into a channel ferry (“Pride of Kent”), operating between Dover (UK) and Calais (France). To fulfil the legal requirements of Marpol Annex VI this seawater scrubber should remove mainly SO 2 

### from the exhaust gases. In addition other harmful emissions and noise should also be reduced. The analysis of the liquid effluents as well as their influence on the marine environment, especially that of the ports, was carried out by Terramare Research Centre in Wilhelmshaven, Ge rmany. 

# 2 Summary Within this project the effects of a seawater scrubber onto the environment were analysed. During five sampling campaigns in 2004 the main focus was laid on pH, nutrients, temperature, trace metals, polycyclic aromatic hydrocarbons (PAH) an d plankton. Additionally one accumulation and two toxicity tests were performed. For the observation of a whole annual cycle, samples were taken in February, March, July, September and November inside the harbours of Dover and Calais and on board the “Prid e of Kent” (PoK). Inside the ferry’s seawater scrubber system very low pH values and high PAH concentrations, even in the outlet, were measured. Sulphate and nitrate concentrations were also higher on board than in samples from the harbour environment. Met al contents, especially of iron and vanadium, which were leached from the steel, could also be detected in high amounts inside the system. A decrease of the pH inside the ports or close to the ferry was never observed. Only in one case the temperature was slightly higher in front of the effluent outlet. Although PAH concentrations were high in the effluent, no increased concentrations were observed inside the harbours or in front of the ship. Significant contents of heavy metals or eutrophication effects we re also not detected. In summary, no negative influence of the scrubbing system on the port environments was observed.

### 3 Introduction

1 

# 3 Introduction Marine diesel engines are among the most fuel
- efficient combustion sources for moving goods [Corbett and Koehler, 2003 ]. Nevertheless they also contribute significantly to air pollution (e.g. Capaldo et al., 1999; Streets et al., 2000). In the past regulations have been passed which dealt especially with the SO 2 

### emissions from land based combustion sources. Examples for t hese are the European Union Directives 1999/30/EC, 2001/81/EC and 1999/32/EC. But since there were no sulphur limits for marine heavy fuel oils, these now contain a high amount of sulphur relative to other fuels. Burning of fuel gives rise to SO 2 

### and SO x 

### formation, which damages sensitive ecosystems and buildings. In the marine boundary layer especially ships contribute to a high input [Capaldo et al., 1999]. Another by
- product of fossil fuel burning is the emission of NO x 

### . In marine regions with high traf fic, ships may increase NO x 

### levels significantly. Both, SO x 

### and NO x 

### and additionally soot particles not only cause environmental damage but also health damage. NO x 

### for example increases, as well as volatile organic compounds, the formation of ground level ozone. If the O 3 

### concentration is elevated above national standard levels (US EPA: 0.12 ppm) it may cause lung and respiratory disorders. Additionally some materials like rubber, nylon, plastic, dyes and paints might be damaged by ozone. A study revealed t hat children from rural Ontario communities show a decrease in lung function and higher susceptibility for bronchitis [Mac Phail et al.]. Also plants, e.g. agricultural crops and trees, are negatively affected by increased ozone concentrations [WHO 1997]. SO x 

### and also NO x 

### are also responsible for the formation of acid rain. Acid rain describes a phenomenon which has been known since the early 1970s and which has caused a number of problems [Driscoll et al. 2001]. For example in soils cations like Mg 2+ 

### and Ca 2+ 

### are leached whereas sulphur and nitrogen concentrations increase. Additionally the harmful dissolved inorganic Al 3+ 

### increases which influences the water uptake capacity of trees. Moreover tree mortality has risen because calcium is leached from the ne edles of gymnosperms thereby increasing their susceptibility to freezing injury. In lakes the acid neutralising capacity is still decreasing resulting in an increasing acidification and aluminium contents resulting in a decreasing species diversity. Model calculations show that only with a marked reduction in sulphur emissions a measurable chemical improvement of the affected ecosystems is possible. In many areas, mainly close to the major shipping routes and harbours, sulphur emissions from ships may equal natural sources. The European Environment Agency estimates that shipborne contributions from international shipping in the North Sea and north
east Atlantic Ocean to total European acidifying emissions may about double by 2010 as a result of increasing ma rine traffic ( Fig. 1 , EEA, 2000).

### 3 Introduction

2 Fig. 1 Estimates of shipborne contributions to total European NO x 

### and SO 2 

### emissions 1990

– 2010 (EEA, 2000) 

### To regulate especially this anthropogenic impact of SO x 

### , an i nternational instrument on air pollution from ships was developed by the Maritime Organisation in 1997: Marpol Annex VI. Marpol Annex VI was ratified in May 2004 by 15 flag states representing at least 50 % of the gross tonnage of the world merchant shippi ng. It will come into force in May 2005. Furthermore, it has to be taken into account that t he cost of limiting the sulphur content of marine bunker oils in the North and Baltic Seas to 1.5 % (the maximum value accepted by MARPOL) has been estimated at abo ut 87 million € per year. Equivalent reductions in total emissions from landbased sources (such as power stations) would cost about 1,150 million € per year. Among other regulations, Marpol Annex VI will introduce a 4.5 % sulphur limit for marine fuels a nd a 1.5 % sulphur limit for marine fuels burned in the so
- called SO x 

### emission control areas. Burning of fuel with higher sulphur content is only allowed when technologies are used which reduce the atmospheric emissions from ships to less than 6 g kWh - 1 

### (a s SO 2 

### mass). Fluegas desulphurisation processes like for examples seawater scrubbing are one possible technology [Tokerud, 1989]. These systems are no new technology but have been used world wide since 1930 in coal power plants located close to the sea (cf . Behrends and Liebezeit, 2003). Their main task is to reduce the sulphur dioxide (SO 2 

### ) and other sulphur oxides (SO x 

### ) contents in the exhaust gases which are produced from burning high sulphur content coal. Additionally nitrogen oxides (NO x 

### ) and particula tes are removed partially from the exhaust gas. The reduction and the theoretical effects of a seawater scrubber system are described in detail in Behrends and Liebezeit [2003]. Thereafter SO x 

### and NO x 

### dissolve within the scrubber effluent and form nitric, nitrous and sulphuric acids. These might, on one hand, reduce the pH of the receiving waters and, on the other hand, might due to the input of nitrate lead to eutrophication. Besides gaseous components soot is also formed, especially during incomplete com bustion. This is mainly made up of elemental carbon with the particular features of a large surface area and a hydrophobic character. Nonpolar substances immediately adsorb onto these particles and are then transported with the soot from the combustion sou rce. Polycyclic aromatic hydrocarbons (PAHs constitute a major group of these substances. While the low molecular weight PAHs such as

### 3 Introduction

3 naphthalene (two rings) or phenanthrene and anthracene (three rings) are mainly found unbound in the gaseous phase already a major fraction of the four
- ring members like pyrene, chrysene and benz[ a ]anthracene are bound to these carbon particles. The formation of PAHs and a major part of all reactions that take place during combustion have been presented by Duran et al. 2004. In addition to this pyrolytic formation there are several other PAH sources such as petrogenic oil formation processes. In this case these compounds are created during the slow maturation of organic material. With regard to the sources of PAHs there is a b road spectrum of possibilities for them to enter the environment: industrial wastewater, street dust runoff discharges, deposition of fossil fuel combustion particles, carbonized coal product spills, forest and grass fires, volcanic particles, oil spills o r natural oil seeps [Witt and Trost, 1999; Lake et al. 1979, Lee et al. 1981]. Usually PAHs are occurring in a complex mixture of isomers and alkylated isomers [Wise et al., 1993]. Low molecular weight PAHs with two or three rings are present normally in d issolved form in water or gaseous in atmosphere. The higher the molecular weight the more hydrophobic they behave and the more they are bound to particles [Ahrens, Depree, 2004, Pleil et al., 2004, Doong and Lin, 2004]. Therefore highest PAH concentrations are to be found in sediments [Neff 1979; Pearlman et al., 1984]. Taking all sources in consideration it is not surprising that PAHs have not only been detected in sediments but also in the atmosphere, water and soils all over the world [Fung et al. 2004; Soclo et al. 2000; Potrykus et al. 2003, Prevedouros et al. 2003 ]. Because some of them are toxic [Bispo et al. 1999; El
- Alawi et al., 2001 ], some inhibit plant growth [ Sudhakar Babu et al. 2001, Marwood et al. 2001 ] and some are carcinogenic and mutagenic [ATSDR 1997] their distribution and behaviour in the environment has been subject to several studies. When PAHs are introduced into the environment several reactions may occur. Besides to the described adsorption to particles and also dissolved organic m aterial (DOM) [Sun et al., 2003], photooxidation is one of the major reactions. In most cases these photooxidized forms are even more toxic than the parent compounds [Sudhakar Babu et al., 2001; El Alawi et al., 2001; McConkey et al., 1997; Ankley et al. 1 994]. For example the photooxidized form of anthracene inhibits the photosynthetic electron transport system [Huang et al., 1997] Biological degradation, mainly due to microbial action [Weissenfels et al., 1992; Heitkamp and Cerniglia 1989], is another imp ortant factor in alteration and reduction. In this case it has to be taken into consideration, that degradation of combustion derived PAHs is expected to be slower for PAHs from petrogenic origin [Yunker et al., 1996; Mc Groddy and Farrington, 1995; Gustaf sson et al., 1997]: In addition, the PAH concentrations [Yuan et al. 2001], the amount of total organic carbon [Hinga 2003; Webster et al., 2001] and the particle size [Schnelle
- Kreis et al. 1999] seem to play a role in removing and degradation of PAHs fro m or in the water. Additionally it has to be taken into account that because of the different sources of these PAHs, they show a distinct seasonal variability [ Prevedouros et al., 2004 ] and also degradation might show seasonality [Pohlman et al. 2002]. The se changes concern mainly combustion
- derived PAHs. During

### 3 Introduction

4 wintertime when there is lot of wood and oil burning, environmental concentrations rise. In some regions forest fires in summer might also influence the seasonality. The determination of the origin of PAHs is normally performed by the aid of different indices [Soclo et al., 2000; Potrykus et al., 2003, Lake et al., 1979; see below]. All in all about 600 PAH
- structures [NIST 1997] have been classified and 16 of them have been defined by the United St ates Environmental Protection agency (US
- EPA) to be environmentally relevant [US
- EPA 610]. These are also the most common and best examined PAHs in the literature. During the present study the impact of a Seawater Srubber (SWS) to reduce atmospheric emissi ons was examined. The ship which was equipped with this technology was the "Pride of Kent", a ferry operating between the harbours of Dover and Calais. The main focus of the survey was the harbours and the seawater within the system of the SWS. Five sampli ngs were performed, one sampling while the SWS was not in use (11.02.2004) and four when the SWS was partially in use (March, July, September and November), which means that only the seawater scrubbers for the auxiliary engines were working. Because both ports are influenced by tidal currents, the pH and the salinity showed a high natural variability. In front of the outlet of the seawater scrubber no decrease in pH could be detected, but effluent water was about 0.4 to 1.8 pH units lower than the inflow a nd the water within the harbour. An effect on temperature could only be determined during the sampling in July and September. Determined metal concentrations inside the harbour were mostly within the range of the used Atlantic water salinity standard. The comparison between the SWS
- inlet and the SWS
- outlet water did only indicate a rise of the zinc concentration which might haven been an effect of the sampling. Inside the system iron and vanadium were increased but most of it was amassed inside the settling tank. Within the harbours a seasonal variability of PAHs was determined with generally higher concentrations in the winter, early spring and late autumn. Comparing the seawater inlet and outlet samples, PAH
- concentrations in the outlet were about two orde rs of magnitude higher than in the inlet. Sulphate and nitrate were only increased inside the seawater scrubber but not inside the ports. The toxicity tests did not clearly reveal an increased toxicity.

### 4

. Material and Methods

5 

# 4 Material and Methods
4.1 pH - buffer capacity of natur al seawater The aim of this test was to estimate the buffer capacity of seawater and the time necessary to reach pH
- equilibrium after acid addition. The results could aid to predict the influence of the Ecosilencer impact. Five different natural sea
- and brackish water samples (Jade Bay, Wilhelmshaven, Germany; Ems River, Papenburg, Germany; Odense harbour, Denmark; Dover harbour, England; Calais harbour, France). The different seawater properties are listed in Table 1

. Table 1 : Properties of the different river
- and seawater samples used for the assays

origin salinity [ppt] pH sampling

temperature [°C] test

temperature [°C] Nassau harbour, Jade Bay, Wilhelmshaven, Germany 30 8,0 3 22,5 Meyer Werft, Em s River, Papenburg, Germany 0,3 7,71 3,1 22,6 Lindoe, Odense, Denmark 21,4 7,97 3,4 20,1 Calais harbour, France 18,3 7,81 7,3 22,4 Dover harbour, England 34,3 7,86 7,4 22,4 

### 500 mL seawater each were acidified with a mixture of HNO 3 

### and H 2 

### SO 4 

### (1 : 1.4 8, v:v) to a final pH of 4.0. The mixing ratio of 1 to 1.48 was chosen because of the expected composition of the SWS Ecosilencer effluent (sulphur content in fuel = 3.5 % and four main engines and two generators running at 85 % MCR). The pH
- value of pH 4 was chosen because of the worst case estimated pH of the SWS Ecosilencer and cooling water mixture effluent discharges. The acidified water was then mixed with the untreated seawater in different combinations ( Table 2 ). Table 2 : Compositions of mixtures for pH buffer capacity test. (Mixtures in italics were not performed for every

assay) acidified seawater

(pH 4) [mL] natural seawater

(about pH 8) [mL] stirring speed [rpm] 50 450 250 100 400 250 150 350 250 200 300 250 250 250 250 250 250 250 300 200 250 350 150 250 400 100 250 450 50 250 250 250 0 1000 1000 250 500 500 250 250 250 1000

### 4

. Material and Methods

6 After mixing the natural and the acidified samples, the pH was measured in regular intervals until no sign ificant change in pH could be observed any more. Normally the test was stopped after three days. The pH for the different fractions was plotted against time and the pH in equilibrium was plotted against the percentage of pH 4 seawater in mixture and analys ed.



## 4.2 Polycyclic Aromatic Hydrocarbons
Several tests were performed to establish the best method for the extraction of PAHs on the basis of the highest recovery rate. In the past liquid
- liquid extraction was the commonly used technique to extract PAHs from aqueous solutions, but as this method is cumbersome, labour intensive, expensive and not environment
- friendly due to its large solvent consumption, a less expensive and easier method was developed. Solid phase extraction (SPE) was considered to be the bes t method, especially as this method is favourably reported in literature [Crozier et al., 2001; Titato and Lanças, 2000; Garcia
- Falcon et al. 2004] and different applications are available [Agilent Technologies; Macherey Nagel]. Therefore different Solid P hase Extraction sorbents, different sample preparations and different solvents were tested. For a comparison of the results the traditional liquid
- liquid extraction (LLE) was also applied. In a series of assays the following topics were investigated:

 infl uence of SPE
- sorbent

 influence of elution solvent

 influence of acetone addition before extraction

 recoveries for Dover and Calais waters

 incubation time of internal standard mix (fractionation of particulate and soluble PAH fractions)

 recovery rate in arti ficial seawater for liquid
- liquid
- extraction (LLE) with n
- hexane For statistical reliability at least 3 parallel experiments were performed for every test. In every experiment 500 mL of the matrix were spiked with 1 mL of a 100 μg L - 1 

### PAH mixture in aceton e (Sigma
- Aldrich Chemie GmbH, Taufkirchen Germany) containing acenaphthylene, anthracene, benzo( a )anthracene, benzo( b

)fluoranthene, benzo( k )fluoranthene, benzo( g )perylene, benzo( a

)pyrene, chrysene, dibenzo( ah )anthracene, fluorene, indeno(1,2,3
- cd )pyrene, p henanthrene and pyrene. The final concentration was 200 ng PAH L - 1 

### . Additionally 1 mL of a 100 μl L - 1 

### Internal PAH Standard Mix solution in acetone was added (Dr. Ehrenstorfer GmbH, Augsburg, Germany) containing acenaphthene
- D10, chrysene
- D12, perylene
- D12 and phenanthrene
- D10. The first three tests which are mentioned above were performed in artificial seawater [RiPSUa et al. 1979] produced with deionised water, the remaining tests with natural seawater. The SPE
- cartridges were conditioned with 5 mL Metha nol and flushed with about 100 mL deionised water. Thereafter 500 mL sample were aspirated slowly over the SPE sorbent. For extraction 2 + 3 mL

### 4

. Material and Methods

7 dichloromethane (DCM) were used. An aliquot of 1000 μL from the resulting 5 mL extract was transferred into a 2 mL amber glass
- vial and 100 μl of a 10 μg mL - 1 

### TBrB were added as injection standard (InjSTD). The aliquot was analysed by gas chromatography/mass spectrometry (GC
- MS; GC: HP 6890, MS: HP MSD 5973, Software: Chemstation G1701 CA) in Single Ion Monitoring ( SIM; see Table 10 ). Recoveries were determined by calculating the ratio of the measured PAH concentration and the concentration added to the matrix. The means and the standard deviations were calculated. In the following part the d ifferent assays are described in detail.

1. Influence of SPE
- sorbent Three different SPE
- sorbents were used, all manufactured by Macherey
- Nagel GmbH & Co KG, Düren, Germany.

 Chromabond EASY: a bifunctional modified polystyrene divinylbenzene copolymer ph ase (specific surface 650
- 700 m2 g - 1 

### , particle size 80 μm, pore size 50 Ångstrom, pH

- range 1 - 14).

 Chromabond C18 ec: an octadecyl silica endcapped sorbent (base material silica, pore size 60 Å, particle size 45 μm for C18 ec, 100 μm for C18 ec f (fast f low), specific surface 500 m 2 

### g - 1 

### , pH stability 2
- 8, endcapped, carbon content 14 %).

 Chromabond C18 PAH: an octadecyl silica phase for PAH analysis (60 Å, particle size 45 μm, specific surface 500 m2 g - 1 

### , pH stability 2
- 8). Experiments were performed using artificial seawater.

2. Influence of Elution Solvent SPE
- cartridges filled with Chromabond C18 ec were used for extraction, two different elution solvents were tested:

 dichloromethane

 n - hexane Experiments were performed using artificial seawater.

3 . Influence of Acetone Addition before Extraction The extraction was performed using Chromabond C18 ec and DCM as elution solvent. During these assays three different amounts of acetone were added to the sample before extraction.

 2 mL acetone (0.2 %)

 5 mL acetone (1 %)

 10 mL acetone (2 %)

### 4

. Material and Methods

8 The matrix was artificial seawater. 4. Recovery rates in Dover and Calais harbour waters As natural seawater taken from Dover and Calais harbours was already contaminated with PAHs, another recovery experiment than that d escribed above had to be executed. In this case three samples of 500 mL Dover (11.02.04, station 7) and Calais (11.02.04, station 2) seawater were filled into round flasks and spiked with 1 mL of a 100 ng mL - 1 

### standard and internal standard solution. Thes e samples were then extracted using SPE
- C18 ec and DCM as elution solvent. Three additional 500 mL samples from each harbour were spiked only with the internal standard. The recoveries are then calculated by difference (see eq. 1).



## 100 1 1



  

 spike Cal InjST BS Cal InjST s 

## C St

PA PA Sl PA PA RR (1)

PA s = peak ar ea of spiked sample PA InjSTD = peak area of Injection Standard Sl Cal = slope of calibration line PA BS = peak area of unspiked blank sample C spike = concentration of PAH spike


### 6. Incubation of Internal Standard Mix (Fractionation of Particulate and So luble Fractions) For this experiment ten subsamples of 0.5 L each, taken from a 20 L sample (24.3.2004, station 6: Dover, “Prince of Whales Pier”) were filled into 1 L amber glass bottles, acidified with 2.5 mL 50 % HCl and mixed with 0.5 mL 3 % sodium thi osulphate. Additionally the samples were spiked with 1 mL of a 100 μg L

- 1 

### PAH
- mix and an equally concentrated ISTD Mix, closed and fixed on an orbital shaker. Two subsamples made up one group and were extracted after 1 h, 2 h, 4 h, 8 h and 16 h. Then the r ecoveries and the percentages of the soluble and the particulate fraction were determined. This protocol was also used for the determination of the method repeatability and for the calculation of the accuracy of the method.
7. Liquid
- Liquid
- Extraction As liquid
- liquid
- extraction (LLE) was for long time the standard method to extract PAH from water, this test was performed as reference. For extraction 500 mL artificial seawater were spiked with 1 mL 100 μg L

- 1 

### PAH
- Mix and 1 mL 100 μg L - 1 

### ISTD, acidified wit h 2.5 mL HCl (50%) and filled into a 1 L separation funnel. The PAHs were then extracted with n
- hexane (20 mL, 10 mL, 10 mL). All extracts

### 4

. Material and Methods

9 were combined, reduced in a rotary evaporator to dryness, taken up in 1 mL DCM and, after addition of InjSTD, analyse d by GC MS.

### 5

. Material and Methods: Determination of environmental parameters and pollutants

10 

# 5 Material and Methods: Determination of environmental parameters and pollutants 5.1 Sampling points, Sampling, Transport and Storage 5.1.1 Sampling in February and March Samples were taken at nine different station inside the harbours of Dover ( Fig. 3 and Table 3 ) and Calais and at two (11.2.04) and twelve (24.3.04) places, respectively, inside the engine room of the “Pride of Kent” during her operation inside the harbours and on the shipping route between Dover and Calais ( Fig. 2 ).

Fig. 2 : Geographical position of Dover and Calais an d route of the “Pride of Kent” in the Channel


### As the Ecosilencer was not operative during the first sampling on 11.2.2004, only two samples were taken from the seawater scrubber system: one from the inlet and one from the outlet. The samples shown in Fig. 3 (left) were also taken from the seawater inlet. While the ship was entering the harbours of Dover and Calais, samples were taken from the inlet and outlet. In the Channel additional samples were taken at the points listed in Table 5 after some time of operation at normal load. For the first sampling cleaned 2 L polyethylene flasks were used and rinsed with sample water before filling. For the second sampling, the PAH
- samples were stored in 1 L amber glass bottles (baked out at 250 °C for 24 h and rinsed with 5 % HCl). Each one was filled with 1 L of sample and after that 5 mL 50 % HCl and 1 mL 3 % sodium thiosulphate were added to deactivate free chlorine and to prevent samples from microbial degradation. For nutrient and metal samples 1 L polyethylene flasks treated as the other polyethylene flasks mentioned before were used.

### 5

. Material and Methods: Determination of environmental parameters and pollutants

11 Table 3 : Sampling points in Dover 11.02.2004 and 24.03.2004
- 05 - 28



### 11.2.2004 23/24.03.2004 sampling poin t description sampling point description 7 harbour entrance 5 Churchill Hotel Beach 8 middle port 6 Prince of Wales Pier 9 Quay 4 7 back of “Pride of Kent” 8 middle of “Pride of Kent” 9 front of “Pride of Kent”

7 9
8 

### 6 7
5 8 9

Fig. 3 : Dover harbour sampling points (left: 11.2.2004, right: 24.3.2004)

Table 4 : Sampling points in Calais



### Sampling point Description Cal 1 Quai en eau profonde Cal 2 Quai de service Cal 3 Quai de la Loire Cal 4 Jetee Ouest Cal 1 Cal 2

Cal 3 Cal 4

2,5 km



### Table 5 : Sampling points on board „Pride of kent“



### Sampling point Description 1 seawater inlet 2 diluted overboard discharge 3 outlet from US filter 4 dirty water to settling tank 5 inlet to US filter 6 water return from Ecosilencer 7 top of settling tank 8 bottom of settling tank inlet

outlet Ecosilencer Cyclone US - Filter

Settling tank inlet

outlet Ecosilencer Cyclone US - Filter

Settling tank 

## 1

2 3

4 5 6 7

8

### 5

. Material and Methods: Determination of environmental parameters and pollutants

12 Fig. 4 : Photographs of the seawater scrubber sampling points inside the “Pride of Kent”. L.: Point 1 seawater

scrubber inlet. M.l.: Point 2 seaw ater scrubber outlet. M.r.: Point 3 and 5: outlet and inlet of US filter, top of cyclones. R.: Point 4, 7 and 8: tube going to the settling tank and top and bottom of sampling tank. 

### Inside the harbours 50 mL water samples for plankton determination were ta ken as well. These were mixed with 10 drops “Lugol’s solution” (20 g KJ, 20 g J 2 

### , 200 mL deionised water, 20 mL acetic acid). All bottles were transported in cooling boxes directly to the laboratory (max. 30 h), where they were stored, with exception of th e plankton samples, deep frozen at
- 18°C until further treatment or extraction. The plankton samples were allowed to settle and the sample was analysed under an inverted microscope. 

## 5.1.2 Sampling in July, September and November As for the samplings in July, S eptember and November two small boats were available. The sampling points changed and samples were also taken inside the harbours and within a transect from the outlet of the seawater scrubber towards the entrance of the harbours. The sampling points, the description and coordinates are given in Table 6 , Table 7 and Table 9 . In Table 9 the sampling times are also given. The sampling points SD1, SD2, SC1, SC2 and SCH1 to SCH8 refer to the sampling points of the seawater scrubber inside the “Pride of Kent”, where SD are the seawater scrubber samples taken in Dover, SC are the samples taken in Calais and SCH are the samples taken during the Channel crossing. Hih and low water times and flow for all samplings are shown in Table 8 . As the “Pride of Kent” did not berth at the predicted quay during the sampling in September the point C 0 was not taken at the same place as C 5 but at a parallel quay.

### 5

. Material and Methods: Determination of environmental parameters and pollutants

13 Table 6 : Sampling points in Calais for the samplings in July, September and November

Sampling point Description Cal 1 Quai en eau profonde Cal 2 Quai de service Cal 3 Quai de la Loire Cal 4 Jetee Ouest C 0 before arrival of “PoK” C 5 5 m from the outlet C 50 50 m from the outlet C 350 350 m from the outlet C 700 700 m from the outlet Cal 1 Cal 2

Cal 3 Cal 4 C 0

C 5 C 50 C 350 C 700

2,5 km



### Table 7 : Sampling points in Dover for the samplings in July, September and November 

### Sampling p oint Description Dov 1 eastern entrance Dov 2 western entrance Dov 3 middle port Dov 4 close to Prince of Wales pier D 0 before arrival of “PoK” D 5 5 m from the outlet D 50 50 m from the outlet D 350 350 m from the outlet D 700 700 m from the outlet

Table 8 : High and low water times ( http://www.mobilegeographics.com )



### sampling port flow low water high water February Calais 11.2.04 3:44 11.2.04 10:45 11.2.04 16:07

Dover 11.2.04 15:37 11.2.04 22:37 12.2. 04 2:56 March Calais 23.3.04 14:21 23.3.04 21:14 24.3.04 2:36

Dover 24.3.04 0:04 24.3.04 7:04 24.3.04 12:23 July Calais 13.7.04 10:50 13.7.04 17:35

Dover 13.7.04 9:09 13.7.04 16:11 September Calais 8.9.04 8:06 8.9.04 14:32

Dover 7.9.04 4:2 9 7.9.04 11:07 7.9.04 17:01 November Calais 17.11.04 3:27 17.11.04 10:37 17.11.04 15:52

Dover 16.11.04 12:33 16.11.04 19:48

### 5

. Material and Methods: Determination of environmental parameters and pollutants

14 Table 9 : Coordinates of sampling points and time and date for samplings 

### Point coord. N coord. E Jul y September November Cal 1 50° 58.161' 1° 51.491' 13.7.04 08:40 

### 8.9.04 8:50 17.11.04 10:30 

### Cal 2 50° 58.180' 1° 52.042' 13.7.04 09:00 

### 8.9.04 9:05 17.11.04 10:00 

### Cal 3 50° 57.385' 1° 51.562' 13.7.04 09:40 

### 8.9.04 8:30 17.11.04 09:40 

### Cal 4 50° 58.010 1° 5 0.582 13.7.04 10:00 

### 8.9.04 8:15 17.11.04 09:30 

### C 0 50° 58.052' 1° 51,382'
- 

### 8.9.04 11:15 17.11.04 11:00 

### C 5 50° 58.044' 1° 50.927' 13.7.04 11:50 

### 8.9.04 11:45 17.11.04 11:40 

### C 50 50° 58.079' 1° 50.846' 13.7.04 12:00 

### 8.9.04 12:00 17.11.04 11:50 

### C 350 50° 58.153' 1° 50 634' 13.7.04 12:10 

### 8.9.04 12:05 17.11.04 11:55 

### C 700 50° 58.311' 1° 50.457' 13.7.04 12:30 

### 8.9.04 12:10 17.11.04 12:00 

### Dov 1 51° 07.109' 1° 20.459' 14.7.04 13:45 

### 7.9.04 14:45 16.11.04 12:35 

### Dov 2 51° 06.914' 1° 19.749' 14.7.04 13:50 

### 7.9.04 15:05 16.11.04 13:00 

### Dov 3 51° 07.100' 1° 19.854' 14.7.04 14:00 

### 7.9.04 15:10 16.11.04 13:05 

### Dov 4 51° 07.149' 1° 19.327' 14.7.04 14:05 

### 7.9.04 15:17 16.11.04 13:10 

### D 0 51° 07.584' 1° 20.406' 14.7.04 12:50 16.11.04 13:15 

### D 5 51° 07.570' 1° 20.361' 14.7 .04 13:05 

### 7.9.04 14:10 16.11.04 13:20 

### D 50 51° 07.526' 1° 20.387' 14.7.04 13:15 

### 7.9.04 14:25 16.11.04 13:30 

### D 350 51° 07.411' 1° 20.500' 14.7.04 13:20 

### 7.9.04 14:35 16.11.04 13:25 

### D 700 51° 07.292' 1° 20.589' 14.7.04 13:30 

### 7.9.04 14:40 16.11.04 13:35 

### SD 1
- 

### - 14.7.04 18:00 

### 7.9.04 19:30 16.11.04 18:15 

### SD2

- 

### - 14.7.04 18:00 

### 7.9.04 19:30 16.11.04 18:15 

### SCH1

- 

### - 14.7.04 18:30 

### 7.9.04 20:00 16.11.04 18:50 

### SCH2

- 

### - 14.7.04 18:30 

### 7.9.04 20:00 16.11.04 18:50 

### SCH3

- 

### - 14.7.04 18:55 

### 7.9.04 20:10 16.11.04 18:50 

### SCH4

- 

### - - 

### 7.9.04 20:10 16.11.04 18:55 

### SCH5

- 

### - 14.7.04 19:10 

### 7.9.04 20:15 16.11.04 18:00 

### SCH6

- 

### - 14.7.04 19:15 

### 7.9.04 20:15 16.11.04 18:55 

### SCH7

- 

### 7.9.04 20:20
- 

### SCH8

- 

### - - 16.11.04 19:00 

### SC1

- 

### - 14.7.04 19:25 

### 7.9.04 20:55 16.11.04 19:40 

### SC2

- 

### - 14.7.04 19:25 

### 7.9.04 20:55 16.11.04 19:40


## 5.2 Temperature, pH, Salinity, Oxygen
pH
- values were measured directly after sampling using a pH
- Meter (WTW pH 320/WTW
- SenTix 81) calibrated with two different buffer solutions (pH 7.00 and pH 4.01, Mettler
- Toledo G mbH, Analytical, Schwerzenbach, Switzerland). Salinity, conductivity and temperature were determined electronically (WTW Cond 315i, Weilheim, Germany) as well. Oxygen during the first sampling was determined by using a Winkler titration Kit (Merck, German y). During the second sampling (24.3.04) an oxygen electrode was used (Hach LDO HQ 10, range 0
- 20 mg L - 1 

### , Düsseldorf, Germany).

### 5

. Material and Methods: Determination of environmental parameters and pollutants

15 

## 5.3 Metals and sulphate
Metals were determined using Inductively Coupled Plasma Optical Emission Spectroscopy (ICP
OES). Pre
- tre atment included acidification (5 % HNO 3 

### ) and filtration (Syrfil Mixed Cellulose Ester Filter,  25mm, 0.22 μm MF, Whatman, Maidstone, England; Norm Jet syringe, Tuttlingen, Germany). For determination mainly elements which are included in the ships process es were chosen. These include the transition metals vanadium, chromium, manganese, iron, cobalt, nickel, copper zinc and molybdenum. Additionally the earth metals barium, lithium, strontium, calcium, potassium, magnesium and the sulphate contents were meas ured. All samples were analysed by the working group “Inorganic Geochemistry” at the Institute for Chemistry and Biology of the Sea (ICBM) at Oldenburg University, Germany.



## 5.4 Polycyclic Aromatic Hydrocarbons (PAH) 5.4.1 Calibration, determination of accuracy, Ca rry - over As the 16 EPA PAHs are the most widespread and commonly determined PAHs, these compounds were also chosen for determination during this work. A composition of the names, synonyms and major physical properties is shown in Table 11

. Table 10 : Groups of PAHs defined for GC
- MS SIM
- method



### group Ret. time Compound MS mass 1 - naphthalene 128 12.52 acenaphthylene 152 13.06 acenaphthene 154 2 2 2 12.96 acenaphtene
- D10 164 14.80 fluorene 166 3 3 17.14 1,2,4,5 - tetrabromobenzene 393.7 18,11 phenanthrene
- D10 190 18.16 phenanthrene 178 4 4 4 18.32 anthracene 178 22.49 fluoranthene 202 23.19 pyrene 202 27.41 benzo[ a ]anthracene 228 27.52 chrysene
- D12 240 5 5 5 5 5 27.96 chrysene 228

benzo[ b ]fluoranthene 252 31.16 benzo[ k

]fluoranthene 252 32.10 benzo[ a ]pyrene 252 6 6 6 6 32.33 perylene 264 35.23 dibenz[ a,h ]anthracene 278 35.37 indeno ( 1,2,3,c,d ) pyrene 276 7 7 7 36.07 benzo[ ghi ]perylene 276 Calibration was performed by diluti ng a 500 mg L - 1 

### PAH Mix (Sigma
- Aldrich Chemie GmbH, Taufkirchen Germany) to concentrations in a range from 1 to 1000 ng mL - 1 

### three times. From every dilution of the standard 1 mL was filled into an amber glass GC
- vial and 50 μL of a 10 μg mL - 1 

### of

### 5

. Material and Methods: Determination of environmental parameters and pollutants

16 1,2,4,5 - t etrabromobenzene (TBrB) and 50 μL of a 10 μg mL - 1 

### squalane solution were added as injection standards (InjSTD). For the samples that have been taken during the fourth, fifth and sixth sampling squalane was not used as injection standard. The calibration st andards were prepared for each chromatographic run and measured randomLy distributed over each analysis sequence. For linear regression between concentrations and peak areas in relation to InjSTD the statistic program Systat 8.0 was used (command file see appendix). For determination of the linear range of the GC, a calibration series using nine concentrations in the range from 2.5 ng mL - 1 

### to 1000 ng mL - 1 

### was analysed. The linearity was then determined by linear and nonlinear regression of the calibration series with the nine different dilution steps. For linear regression the function 

## b x a y    (2)
and for nonlinear regression the function


## 2 x c x b a y 

    (3)

were fitted to the data. With these the value 

## y ˆ could be calculated, which in the best case should be the same value as the concentration y of the standard. In the next step the residual
- standard
- deviation was calculated according to 

#   

# 

 

## 

  N

i i i linear y 

## y

y N s 1 2

_ 

## ˆ

2 1 (4) 

#   

# 

 

## 

  N

i i i nonlinear y 

## y

y N s 1 2

_ 

## ˆ

3 1 (5) where N is the number of dilution steps, y the employed concentration and 

## y ˆ the concentration calculated with the linear and non linear functions, respectively. From these values the difference DS2 can be calculated according to



#     2

_

2

_ 

## 3 2 2 nonlinear y linear y 

## s N s N DS       (6) With this value the examination variable EV as

2

_ 

## 2
nonlinear y 

## s DS EV  (7) was determined and compared to F (P=099%, f 1 

### = 1, f 2 

### = N
- 3) from a F
- table. If EV was smaller or equal F the nonlinear function was not significantly better than the linear function. If this was not the case, the highest concentration was taken out of the calculation, a new function was calculated and EV was calculated again.

### 5

. Material and Methods: Determination of environmental parameters and pollutants

17 Accuracy of the GC was d etermined by measuring the 25 ng mL - 1 

### and 500 ng mL - 1 

### concentrations eight times. To check for carry over, solvent blanks (DCM) were analysed distributed randomLy over the chromatographic run. The limit of detection (LOD) was determined as three times th e standard deviation (IUPAC criterion) of the 25 ng mL - 1 

### concentration. These tests were performed for the analyses with the split splitless injector and also for the samples analysed with the cold injections system.

### 5

. Material and Methods: Determination of environmental parameters and pollutants

18 Table 11 : S tructures and major physical properties of the 16 EPA
- PAHs PAHs 

# EPA Name and Synonyms Form. CAS Log K OW (Exp./Calc.) [1] T boil

[°C] [2] T fus

[°C] [2] Density

[g cm - 3 ] at 20°C [3] Vapour

pressure [Pa] [4] Solub.

H 2 O [mg/l] [4] Molec.

weight Risk phrases Sa fety phrases hazard

symbol
naphthalene C 10 H 8 91 - 20 - 3 3,33 / 3,17 217,0 80,2 - 1.0x102 31 128,17 20,21, 22,36, 37,38, 43,45 16,26, 36,37,

39,45 T acenaphthylene 1,2 - dihydroacenaphthylene 1,8 - dihydroacenapthalin 1,8 - ethylenenapthalene 1,2 - dihydroace napththylene C 12 H 8 208 - 96 - 8 3,94 / 3,94 280,2 89,6 - 93,4 - 9.0x10 - 1 16 152,19 22, 36, 37, 38 26, 36, 37, 39 Xn acenaphthene, cyclopenta[d,e]naphthalene paranaphthalene C 12 H 10 83 - 32 - 9 3,92 / 4,15 279,2 94 1.225 3.0x10 - 1 3.8 154,21 36, 37, 38 26, 36 Xi fluorene ortho
- biphenylene methane diphenylenemethane 2,2 - methylene biphenyl 2.3 - benzidene C 13 H 10 86 - 73 - 7 4,18 / 4,02 294,2 - 298,2 115 - 9.0x10 - 2 1.9 166,22 - - Xn anthracene anthracin green oil C 14 H 10 120 - 12 - 7 4,46 / 4,35 340 217 - 1.0x10 - 3 0. 045 178,23 20, 21, 22, 36, 37, 38, 42,43 26, 36 Xn phenanthrene phenantrin C 14 H 10 85 - 01 - 8 4,45 / 4,35 328,15 - 340,15 99 0.980 at 4 °C 2.0x10 - 2 1.1 178,23 20, 21, 22, 36, 37, 38, 40 26, 27, 36, 37,

39, 45 Xn fluoranthene 1.2 - [1,8
- Naphthylene]
- be nzene 1.2 - benzacenaphthene 1.2 - [1.8
- naphthalenediyl]benzene benzo[j,k]fluorene C 16 H 10 206 - 44 - 0 5,16 / 4,93
- 108 - 113 - 1.2x10 - 3 0.26 202,25 22, 36, 37, 38, 40 - Xn
pyrene benzo[d,e,f]phenanthrene 8 - pyrene C 16 H 10 129 - 00 - 0 4,88 / 4,93
- 151 1.271 a t 23 °C 6.0x10 - 4 0.13 202,25 26, 36, 37, 38 - Xn benzo[ a ]anthracene BA;benz[ a

]anthracene 1,2 - benzanthracene benzo[ b ]phenanthrene 2,3 - phenanthrene 2,3 - benzophenanthrene tetraphene, benzo[e]fluoranthene C 18 H 12 56 - 55 - 3 5,76 / 5,52 437,8 159 1.274 at 20 ° C 2.8x10 - 5 0.011 228,29 45, 50, 53 45, 53, 60, 61 

### T

N

### 5

. Material and Methods: Determination of environmental parameters and pollutants

19 chrysene 1.2 - benzophenanthrene benzo[ a ]
- phenanthrene 1,2benzphenanthrene benz[ a ]phenanthrene 1,2,5,6 - dibenzonaphthalene C 18 H 12 218 - 01 - 9 5,81 / 5,52 448,2 254,35 - 258,4 - 5.7x10 - 7 0.006 228,29 20 , 21, 22, 45, 46 3, 7, 9, 36, 37,

39, 45 T benzo[ b ]fluoranthene 3,4 - Benz[e]acephenanthrylene 2,3 - benzfluoranthene 3,4 - benzfluoranthene 2,3benzofluoranthene 3,4 - benzofluoranthene benzo[e]fluoranthene C 20 H 12 205 - 99 -

2 5,78 / 6,11
- - - - 0.0015 252,31 45, 50, 53 45, 53, 60, 61 

### T
N benzo[ k ]fluoranthene 8.9 - benzfluoranthene 8.9 - benzofluoranthene 11.12benzofluoranthene 2,3,1.8 - binaphthylene dibenzo[b,j,k]fluorine C 20 H 12 207 - 08 - 9 6,11 / 6,11 480 217 - 5.2x10 - 8 0.0008 252,31 45 45, 53 Xn benzo[ a ]pyrene benzo[d,e,f]chrysene 3 - 4 benzopyrene 3,4 - benzpyrene benz[ a ]pyrene;BP C 20 H 12 50 -

32 - 8 6,13 / 6,11 495,2 177 1.351 7.0x10 - 7 0.0038 252,31 45, 46, 50, 53, 60, 61 45, 53, 60, 61 T dibenz[ a,h

]anthracene DB[ a,h ]A DBA 1,2:5,6 dibenz[ a ]anthracene C 22 H 14 53 -

7 0 - 3 -- / 6,70 524,2 260,15 - 271,2 1.282 3.7x10 - 10 0.0006 278,35 indeno (1,2,3,c,d) pyrene indenopyrene IP;orthophenylenepyrene 1,10 - ortho
- phenylene]pyrene 1,10 - [1,2
- phenylene]pyrene 2,3 - ortho
- phenylenepyrene C 22 H 12 193 - 39 -

5 6,63 / 6,70
- 162 - 163 - - 0.00019 276,33 - - Xn benzo[ ghi ]perylene 1,12 - benzoperylene C 22 H 12 191 - 24 -

2 6,80* / 6,70
- 280 - 1.4x10 - 8 0.00026 276,33 - 22, 24, 25 - * Average from 3 reverences [1] Heiden A.C., Hoffmann A., Kolahgar, B., (2001), Comparison of the Sensitivity of Solid Phase MicroExtraction (SPME) and Stir Bar Sorptive Extraction (SBSE) for the Dertermination of Polycyclic

Aromatic Hydrocarbons (PAHs) in Water and Soil Samples, Gerstel AppNote 8/2001, http://www.gerstelus.com/appnotes/new/Gerstel%202001/an
- 2001 - 08 .pdf [2] NIST Chemistry WebBook, http://webbook.nist.gov/chemistry [3] Tox Probe; Ten Carcinogens in Toronto; benzo[ a ]pyrene and other polycyclic aromatic hydrocarbons, http://www.city.toronto.on.ca/health/pdf/cr_appendix_b_pah.pdf [4] Staffan Lundstedt; 2 003, Analysis of PAHs and their transformation products in contaminated soil and remedial processes http://publications.uu.se/umu/fulltext/nbn_se_umu_diva
- 57.pdf

### 5

. Material and Methods: Determination of environmental parameters and pollutants

20 

## 5.4.2 Extraction Water samples: All vessels used for extraction were rinsed with deionised water , methanol and DCM before use. After thawing, 1 mL of 100 ng mL - 1 

### internal standard solution was added to 0.5 L sample. After thorough mixing, the sample was filtered with a preextracted (10 mL DCM) glassfibre filter (GF/C, Whatman, Maidstone, England). T he filter was cut in small pieces and the particulate matter was extracted ultrasonically three times for 10 min with a mixture of dichloromethane/acetone (5:1 v:v). For the first step 15 mL and for the second and third step 10 mL of this mix were used. To remove particles the extract was cleaned with the SPE C18 cartridge used for the extraction of the dissolved PAHs. The extract was concentrated to about 0.5 mL by rotary evaporation (Büchi, Switzerland, 35°C, 700
- 500 hPa) and transferred to an amber glass GC
- vial. The flask was then rinsed with DCM and the rinse was added to the extract. The whole volume was then concentrated to 1 mL (N 2 

### ) and the InjSTD was added. The seawater filtrate was extracted by SPE using C18ec cartridges, which turned out to give the best recovery rate (see 4.2 ). Before extraction the cartridges were conditioned with 5 mL methanol, which was left for some time to soak into the SPE material. Then about 100 mL doubly de
- ionised water followed by the sample were aspirated slowly over the cartridge using a vacuum pump (Saskia Hochvakuum). The sample flask was washed twice with 100 mL doubly de
- ionised water which was aspirated over the cartridge as well, followed by 3 mL of a water/isopropanol (80:20) mixture

. For desorption of the PAHs 2 mL plus 3 mL DCM were used. From the resulting 5 mL extract 1 mL was transferred into an amber glass GC
- vial and mixed with InjSTD TBrB . All samples were measured randomLy within one gas chromatic run for each extraction. C oncentrations and the proportions of the analyte between dissolved and particulate fractions were determined by using the ISTD closest to the retention time of the substance according to equations (8) to (11).



## Dil CL CL PA PA Conc
ascent tion TBrB analyte
vial 

## 

       



 sec 

### (8)
Conc vial 

### = concentration of the analy te in the vial [ng mL - 1 

### ] PA analyte 

### = peak area determined by GC MS of the analyte PA TBrB 

### = peak area determined by GC MS of TBrB CL section 

### = section of the calibration line CL ascent 

### = ascent of the calibration line Dil = dilution factor 

## 100

_ _ lub

_ 

##    add deut part

deut so deut 

## PAH PAH PAH R (9)

### 5

. Material and Methods: Determination of environmental parameters and pollutants

21 

## 100

_ lub

_ lub 

##   add

deut so deut so 

## PAH PAH F 100

_ _ 

##   add

deut part deut part 

## PAH PAH F (10)
R = recovery rate [%] PAH deut_solub 

### = concentration of deuterated PAH determined for the soluble fraction [ng mL - 1 

### ] PAH deut_part 

### = concentration of deuterated PAH determined for the particulate fraction [ng mL - 1 

### ] PAH deut_added 

### = concentration o f deuterated PAH added to the sample [ng mL - 1 

### ] F solub 

### = soluble fraction of the deuterated PAH [%] F part 

### = particulate fraction of the deuterated PAH [%]



#   g ng V V F R Conc Conc Conc Vial sample part vial so vial analyte 

##  1000 1

_ lub

_ 

##       (11)
Conc analyte 

### = concentration of the analyte in the water
- sample [ng l - 1 

### ] Conc vial_solub 

### = concentration of the soluble fraction of the analyte in the vial [ng mL - 1 

### ] Conc vial_part 

### = concentration of the particulate fraction of the analyte in the vial [ng mL - 1 

### ] F = soluble particulate fraction, respectively V sample 

### = volume of the sample ext racted V Vial 

### = volume of the extract in the vial Sediment and Mussel samples Mussel samples were only taken once in Calais during the sampling in November. Those mussels were taken from a harbour stilt during ebb tide a point C0. About 60 mussels were co llected randomly and put into a freeze bag. The extraction and analysis of these mussels was performed in the same way as described in section 6.3.2 . To determine the accuracy of the extraction method a standard reference mussel tissue was extracted. This was obtained from LGC Promochem (NIST
- 2977 Mussel tissue
- Organics and trace elements) and extracted twice at the same time as the mussels of the accumulation test. Sediments were taken in July at points C1, C5, C700 and D5, in September at points C5, C700 and D700 and in November at points C5, C700 and D5. All samples were taken with a van Veen grab ( Fig. 5 ), which takes abovut 150 cm2 of the surface sediment, and were then transported to the lab in a f reeze bag. There they were deep frozen at
- 18 °C until extraction. Before the extraction the sediment was freeze dried, coarse particles were removed and the remainder was ground in an agate ball mill for 30 min at 180 rpm. From this fine, dried sediment 5 g were weight into a glass bottle and the internal standard was added. The extraction was performed ultrasonically with 20 mL and two times 15 mL n
- hexane for 15 min. As elemental sulphur negatively affects gas chromatographic analysis it was removed with elemental copper. Oxides on the copper surface were removed by washing three times with hydrochloric acid. The acid was removed by washing three times with deionised water and the water was removed by washing three times with methanol. The methanol and ev entually remaining organic compounds bound to the copper surface were removed by washing three times with DCM. About ten of these cleaned and activated copper filings were than added to the extracts and left there for at least two hours. In those cases whe re the copper spans turned totally black (copper sulphide) again about ten pieces were added and left in the extract for additional two hours. The desulphurised extract was then filtered over NaSO 4 

### to remove the copper spans and remaining water

### 5

. Material and Methods: Determination of environmental parameters and pollutants

22 from the ex tract and was then reduced to about 2 mL in a rotary evaporator. The clean
- up was performed on a silica column (5 g silica deactivated with 5 % H 2 

### O) and PAHs were eluted with 15 mL n - hexane and with 20 mL of a n
- hexane and DCM (5:1) mix. Both extracts were combined, reduced to approximately 1 mL, transferred quantitatively into an amber glass 2 mL GC
- vial and reduced to 1 mL under N 2 

### . The injection standard was added and PAH concentrations were determined by GC
- MS

Fig. 5 : Van Vee n grab and Niskin sampler for sediment and water samples respectively.


## 5.4.3 Determination of the origin of PAHs PAHs in the environment might have different origins. Although there are some natural sources such as oil seeps or some specific organisms, the mai n sources are anthropogenic. These include oil released during normal ship operation or from accidents and products of incomplete combustion of recent or fossil organic matter. To distinguish between these origins of a PAH mixture, some indices have been d eveloped in the past. The major aspect used is the thermodynamic stability. For example phenanthrene (Phe) is thermodynamically more stable than its structural isomer anthracene (Anth). The same is valid for fluoranthene (Flu) and pyrene (Pyr) pair. Concer ning to these facts the Phe/Anth ratio is higher in petrogenic (>10) than in pyrolytic pollution (<10). For Flu/Pyr a quotient of one was determined. Thus a Flu/Pyr ration>1 points to a pyrolytic, while a Flu/Pyr rations <1 indicates a petrogenic origin. T he chrysene (Chry) and benzo[ a ]anthracene (BaA) ratio is the basic for another index used. Chry and BaA are derived from combustion processes at high temperatures with a Chry/BaA ratio <1. Also an indicator for combustion derived PAHs is a higher abundance of four
- , five
- and six
- ring PAHs in comparison to the two
- and three
- ring PAHs, prominent in petrogenic sources.

### 5

. Material and Methods: Determination of environmental parameters and pollutants

23 An additional method which was used to determine the origin of the PAHs was principal component analysis and the regression of samples and co mpounds resulting in different regression charts. Principal component analyses (PCA) is a useful technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high d imension. Therefore PCA has also been used to determine the origin of PAHs [Boehm et al., 1997; Stella et al., 2002; Burns et al., 1997; Branislav et al., 2001]. The background of this method is based in matrix algebra. In this case the analyses were perfo rmed by using a Matlab script, written by M. Hufnagl (see Appendix). In the first step the data are standardised by substracting the mean. The next step calculates the covariance matrix and then the eigenvector and the eigenvalues of this matrix. In this c ase the feature vector, which is later used for the transformation of the data, was only made up from the first two eigenvectors. The regression of the compounds and the regression of the sampling points were performed using the statistic program Systat. T he source code is similar to that one shown in the Appendix. In the literature this method was also used to determine PAH pollution sources [Adami et al. 2000].



## 5.5 Plankton samples During the sampling in February and March plankton samples were taken in 50 m L bottles and analysed qualitatively. During the samplings in July, September and November plankton samples were taken from one, two and three meters water depth. From each depth one litre was taken with a Niskin sampler ( Fig. 5 ) a nd all three water samples were collected in a three litre PVC bottle. In the laboratory the water was filtered over a 10 μm plankton net and 5 mL of the concentrated sample were transferred to an Uttermöhl counting chamber where the cells were allowed to settle overnight. The counting was performed with an inverted microscope. At 30 to 50 randomLy chosen points all plankton cells within the given grid of the microscope were counted. The concentration of the counted cells were then determined using the foll owing equation

conc S

ex 

## V V V fields A ml cells 

    105626

. 0 71
. 506 /
where A is the amount of cells counted in the examined volume V ex 

### . V S 

### is the volume of the sample and V conc 

### is the volume of the concentrated sample.

### 6 Material and Methods: Toxicity and accumulation test

24 

# 6 Material and Methods: Toxicity and accumulation tests
For these tests water was taken from the seawater scrubber inlet and outlet at point SCH1 and SCH2 during the fourth sampling which was performed in September. The samples were filled into Winkler
bottles (250 mL) which disabled the gas exchange between the samples and the atmosphere. T his allows the examination of the samples in the laboratory at nearly unchanged conditions. The water samples, five from the inlet and five form the outlet, where transported to the lab in cooling boxes and then stored at 4 °C for two days before the toxic ity tests were performed.



## 6.1 Lumistox The bacterium used for this test was Vibrio fischeri . The enzymatically induced luminescence of this bacterium is quantitatively easy to determine. The reaction that takes place is that the enzyme luciferase oxidises ch emical compounds like long chain aldehydes by aid of reduced FMN (flavin mononucleotide) and O 2 

### to the corresponding fatty acid. Within this reaction electrons are directly transferred from the FMNH 2 

### to the oxygen and energy is set free by emittance of lig ht. The test, produced by Dr. Bruno Lange GmbH, Berlin, is a standardized DIN (Deutsche Industrie Norm) method used to analyze the contamination of water. The test was performed according to the instructions given in the norm. From three different samples two parallels were screened resulting in six values for the inlet and six values for the outlet. As blank a 2 % NaCl solution was analyzed.



## 6.2 Brine shrimp test Another possibility to determine the toxicity of a substance is the mortality of organisms expos ed to that substance. Therefore during this test the mortality of juvenile and adult brine shrimp Artemia salina ( Fig

. 6 ) was observed after placing it into subsamples of the inlet and outlet water.

Fig

. 6 : Picture of Artemia salina. This organism was used for toxicity tests 

### Due to the natural habitat of Artemia salina this organism is able to build long lasting eggs. Two days before starting the test, about 200 mg of these eggs w ere placed into 1000 mL artificial seawater

### 6 Material and Methods: Toxicity and accumulation test

25 [RiPSUa et al., 1979]. For aeration an aquarium pump was used. From the seawater that included the hatched juveniles 1 mL with about 30 to 70 organisms were taken and pipetted into Petri dishes containing the inl et and outlet water (4 mL). The amount of individuals added was counted and after 6 h and 24 h the mortality was determined. The same was performed with 4 week old adult Artemia salina specimen. These were kept in an aquarium filled with seawater taken fro m the Jade Bay (Wilhelmshaven Germany) and fed with an Isochrysis galbana culture until the performance of the test. To prevent the organisms from starvation additionally 1 mL of this Isochrysis galbana culture was added.



## 6.3 Accumulation test 6.3.1 Preparation and Performance This accumulation test was performed to assess the uptake of the released PAHs by mussels. Additionally it was used as toxicity test by observing the mussel mortality when exposed to the PAH concentrations observed in the outlet of the seawate r scrubber. As a high volume of water was necessary for this test (2 m3) the water could not be taken directly from the inlet and outlet of the “Pride of Kent” and be transported to the laboratory in Germany. Therefore the PAH concentrations observed in th e outlet samples of the seawater scrubber were determined and seawater taken from the Jade Bay in Wilhelmshaven Germany was spiked with the the major five observed PAHs. Table 12 : Categorisation of the accumulation tests.



### number as say volume [l] amount of mussels 1 particulate 17 30 2 control 17 30 3 dissolved 17 30 4 particulate 17 30 5 control 17 30 6 dissolved 17 30 7 particulate 17 30 8 control 17 30 9 dissolved 17 30 10 control external basin 12000 appr. 100 The test was separated into three subtests with three separate approaches ( Table 12 ), three controls, three accumulation tests for PAHs bound to particulate material and three assays for the determination of accumulation of dissolved PAHs. For all experiments seawater taken from the Jade Bay was pumped into 1 m3 storage tanks and was centrifuged with a continuous centrifuge (Carl Padberg, Zentrifugenbau GmbH, Lahr Germany). The particulates were collected and freeze dried. The water was kep t in another firmly closed 1 m3 storage tank from which 20 L canisters, one for every assay, were filled with 17 L of the seawater. These canisters were then placed into the laboratory where the assays were performed for temperature equilibration. About 40 0 mussels ( Mytilus edulis ) were collected on a mussel bank (Swinnplate) from the backbarrier area of the East Frisian island Spiekeroog and placed into an external basin filled with approximately

### 6 Material and Methods: Toxicity and accumulation test

26 12 m3 seawater taken from the Jade Bay. From these mussels 2 70 species were chosen randomly and cleaned from barnacles, shell fragments and byssal threats. The cleaned mussels were laid into the aquariums each filled with 17 L of the water taken from the canisters. To prevent the mussels from lying directly on the ground of the aquarium and filtering their own faeces, plastic mats were placed on the bottom ( Fig. 7 ). Aeration for all aquariums was by an aquarium pump (ACO
- 003, magnetic piston, 35 W, 3600 l/h), PVC tubes and aeration stones ( Fig. 7 ).

Fig. 7 : Photographs of the experimental design of the accumulation test. L.: all nine aquariums with aeration

pump. M.: close view on to an aquarium with aeration stone and mussels placed on the PVC net. R.: mussels on PVC net. 

### Before starting the experiments the mussels were kept for 5 days in the aquarium to allow accommodation. Due to the low water volume in relation to the high amount of mussels, the water was exchanged twice during tha t time and later twice a week. Every day 2 mL of a highly concentrated Phaeodactylum tricornutum cultur were added to each aquarium. These algae were cultured in a 40 L bioreactor. Every second day 20 L were filtered over a plankton net (mesh size 10 μm). The concentrated Phaeodactylum tricornutum suspension was then stored at
- 18 °C. Table 13 : Mean PAH composition of the seawater scrubber outlet samples (March and July), PAH concentrations

in the acetone solution and resulting PAH concentration in the aquaria



### compound mean % in

samples mg in 100 mL

acetone ng L - 1 

### in

aquarium phenanthrene 100 5.125 1507 pyrene 42 2.142 630 chrysene 39 1.997 587 fluoranthene 17 0.872 256 anthracene 3 0.150 44 As explained above each subtest was performed with three separate approaches. For the assay with the particulate matter to each aquarium 2 mL algal suspension, 5 mL of a seston solution and 0.5 mL of a PAH solution in acetone was added. The seston solution contained the dried seston gained from the seawater used and additionally dried silt and clay to give an overall concentration of 240 mg L - 1



### . The addition of 5 mL of this solution to the water in the aquarium lead to a particle concentration of 70 μg L - 1 

### . The composition of the PAH solutio n and the resulting PAH concentrations in the aquarium are given in Table 13 . The phenanthrene concentration (1500 ng L - 1 

### ) was chosen because this was the maximum phenanthrene concentration detected in the outlet samples in March a nd July. To the aquariua that contained the mussels for the dissolved test, also 0.5 mL of the acetone/PAH solution was added but instead of the seston, an aqueous quartz (Sigma Aldrich Laborchemikalien GmbH, Seelze, Germany) solution was added resulting in 70 μg L - 1 

### quartz inside the aquarium. Quartz

### 6 Material and Methods: Toxicity and accumulation test

27 was chosen because it has only a small active surface and therefore only a low percentage of the PAHs adsorb to it. Therefore the PAHs, as intended, remain dissolved. Particulate material has to be added bec ause otherwise the mussels would not be active and remain closed all the time. Before adding the quartz to the solution, it was ground in a wolfram crucible so that particle size decreased and the quartz particles lasted for a long time suspended in the wa ter. To the controls both quartz and seston were added so that the water in the aquarium contained 70 μg L - 1 

### of each. The PAHs and the seston or quartz were added every day. Additionally 2 mL of the Phaeodactylum suspension were added. Water exchange was p erformed every third or fourth day ( Table 14 ). Table 14 : Dates for water exchange during the accumulation test 

### date days start 15.11.2004 0 1. water exchange 18.11.2004 3 2. water exchange 22.11.2004 7 3. water exchange 25.11.2004 10 4. water exchange 29.11.2004 14 5. water exchange 02.12.2004 17 6. water exchange 06.12.2004 21 7. water exchange 09.12.2004 24 8. water exchange 13.12.2004 28 9. water exchange 15.12.2004 30


## 6.3.2 Analysis and extraction of the mussels After 30 days the tests the mussels of each aquarium were trasnferred to freezer bags and deep frozen at
- 18 °C. For each specimen shell length, total weight, shell weight as well as wet and dry weights (freeze drying) were determined. The mussels were than divided into size groups. As only few small mussels were available, mussels smaller than 50 mm were regarded as one class and mussels between 50 and 60 mm as another class. From both classes 7 specimen each were taken and ground in a wolf ram crucible in a ball mill (Fritsch Pulverisette 5) over 30 min with a rotation speed of 120 rpm. From the pulverized mussel tissue about 0.5 g were weighed into a glass flask and 5 mL of a 5M KOH solution and 1 mL of the internal standard (acenaphthene
- D10, phenathrene
- D10, chrysene
- D12, perylene
- D12) were added. The mixture was well mixed and left overnight to hydrolyse the cell walls. The following day the lysate was neutralized with 5 mL 5M hydrochloric acid. Then 5 mL deionised water and 40 mL n
- hexa ne (Pestanal, Sigma Aldrich, Seelze, Germany) were added. This viscous solution was placed into an ultrasonic bath for 15 min to separate the organic and aqueous phases. The organic phase was transferred into a roundbottom flask and the procedure was repea ted twice with 30 mL n
- hexane. The combined extracts were filtered over NaSO 4 

### to remove remaining water and then evaporated to a final volume of about 2 mL. After quantitative transfer to a silica column (10 g, 5 % deactivated with H 2 

### O) PAHs were eluted wi th 35 mL n
- hexane and 40 mL of a n
- hexane/DCM solution (5:1 v:v). Both fractions were combined and the solvents evaporated to about 1 mL which was transferred quantitatively into a 2 mL amber glass GC vial. After n
- hexane evaporation to 1 mL under N 2 

### the i njection standard was added.

### 6 Material and Methods: Toxicity and accumulation test

28 To check the constitution of the mussels, the fat content was determined according to Smedes and also the condition index (CI) was determined as the quotient of dry weight and shell weight multiplied with 100. This index can b e interpreted as an index of growth [Smaal and Staben 1990] and as an indirect reflection of the food availability [Pérez Camacho et al 1995]. The fat content was determined for one mussel of each assay and the CI was determined for all mussels and the mea n was calculated for each run.

### 8 Results and Discussion of environmental samplings

29 

# 7 Results
7.1 pH - Mixtures 7.1.1 Jade Bay, Wilhelmshaven, Germany
In Fig. 8 and Fig. 9 the time
- dependent results for the mixtures of natural acidified Jade Bay seawater are shown. Fig. 9 also shows the pH in equilibrium in dependency of the percentage of pH 4 seawater in the mixture. The mixtures stirred with 250 rpm with a total volume of 500 mL reach equilibrium after about 24 hours. The higher the stirring s peed the faster the equilibrium is reached. For the 50 % mixture stirred with 1000 rpm equilibrium is reached after about 2 hours, while the unstirred sample needed over 72 h. A similar behaviour can be observed for the 50 % mixtures with different volumes (100 mL, 250 mL, 500 mL, 1000 mL) but the same stirring speed (250 rpm). The greater the volume the longer the time until the equilibrium is reached. The 100 mL:100 mL mixture needed about 8 h whereas the 1000 mL:1000 mL mixture again needed over 72 h. T he results for all 500 mL mixtures (250 rpm) in equilibrium show that there is no significant change up until 50 % acidified water were added and a change is mainly evident between 80 %, 90 % and 100 % ( Fig. 2 left).

5,2 5,4 5,6 5,8 6,0 6,2 6,4 6,6 6,8 7,0 7,2 7,4 7,6 7,8 8,0 8,2

0 12 24 36 48 60 72 time [h]pH-value 10% 20% 30% 40% 50% 60% 70% 80% 90% 6,0

6,2 6,4 6,6 6,8 7,0 7,2 7,4 7,6 7,8 8,0

0 24 48 72 96 120 144 168 192 time [h]pH-value 100 : 100 250 : 250 500 : 500 1000 : 1000



### Fig. 8 : Left: Different amounts of acidified (pH 4) Jade Bay seawater mixed with non
- acidified Jade Bay

seawater. Given is the development of pH over time in relation to the percentage of pH 4 water. Right: same as left but only 50:50 mi xing ratio with different volumes.

6,0 6,2 6,4 6,6 6,8 7,0 7,2 7,4 7,6 7,8 8,0

0 24 48 72 96 120 144 168 time [h]pH-value 0 rpm 250 rpm 1000 rpm 8,04 8,13 8,10 8,07 8,05 7,94 7,86 7,72 7,49 6,99

4,00 3,0 4,0 5,0 6,0 7,0 8,0 9,0

0 10 20 30 40 50 60 70 80 90 100 percentage of pH 4 seawaterpH-value



### Fig. 9 : Left: 50:50 mixing ratio of acidified (pH 4) Jade Bay and natural Jade Bay seawater, with different stir

bar rotation speeds. Right: pH
- value in equilibrium as function of mixing rat io (% pH 4 seawater)

### 8 Results and Discussion of environmental samplings

30 

## 7.1.2 Ems River, Papenburg, Germany Fig. 10 . shows the results for the pH mix test determined with Ems River water taken at the Meyer Werft in Papenburg, Germany. Although the water had only a very low salinity it sh ows a similar behaviour to the experiment performed with seawater. This is due to its high sediment load and therefore high carbonate content. The equilibrium in this case is reached as fast as in the test with Jade Bay seawater, after about 12 h. However, a continuous decrease in pH can be observed in 1:1 mixtures (100 mL) until the percentage of pH 4
- water has reached about 80 %.

5,6 5,8 6,0 6,2 6,4 6,6 6,8 7,0 7,2 7,4 7,6 7,8 8,0 8,2 8,4 8,6

0 12 24 36 48 60 time [h]pH-value 10 20 30 40 50_1 50_2 60 70 80 90 8,51 8,47 8,43 8,30 8,21 8,05 8,18 8,16 8,00 7,82 7,30

4,00 3,0 4,0 5,0 6,0 7,0 8,0 9,0

0 10 20 30 40 50 60 70 80 90 100 percentage of pH 4 seawater [%]pH-value



### Fig. 10 : Left: Different amounts of acidified (pH 4) Ems River water mixed with non
- acidified E ms River water.

Given is the development of pH over time. Right: pH
- value in equilibrium as function of mixing ratio (% pH 4 seawater)


## 7.1.3 Odense, Denmark Fig. 11 shows the results for the tests performed with Odense seawater. Also in this case equilibrium is reached within about 12 h after mixing the two water bodies. The first significant change is observable for mixtures containing more than 50 %.pH 4
- water.

5,6 5,8 6,0 6,2 6,4 6,6 6,8 7,0 7,2 7,4 7,6 7,8 8,0 8,2 8,4 8,6

0 12 24 36 48 60 time [h]pH-value 10 20 30 40 50_1 50_2 60 70 80 90 8,22 8,22 8,20 8,12 8,07 7,84 7,69 7,45 7,04 7,99 7,93

4,00 3,5 4,5 5,5 6,5 7,5 8,5

0 10 20 30 40 50 60 70 80 90 100 percentage of pH 4 seawater [%]pH-value



### Fig. 11 : Left: Different amounts of acidified (pH 4) Odense seawater mixed with non acidified Odense seawater.

Given is the development of pH over time. Right: pH
- value in equilibrium as function of mixing ratio (% pH 4 seawater)

### 8 Results and Discussion of environmental samplings

31 

## 7.1.4 Calais, France Fig. 12 shows the results obt ained with Calais seawater. Noticeable in this case is that there is, for all mixtures up to 60 % pH 4
- seawater, no temporal behaviour of the pH until the equilibrium is reached. For the rest of the mixtures equilibrium is reached after maximally 6 h. A ch ange of the pH in equilibrium out of the error range is first observable at a percentage of 60 % pH 4
- seawater.

6,2 6,4 6,6 6,8 7,0 7,2 7,4 7,6 7,8 8,0 8,2 8,4 8,6 8,8

0 6 12 18 24 30 36 time [h]pH-value 10 20 30 40 50_1 50_2 60 70 80 90 8,60 8,62 8,56 8,52 8,45 8,26 8,19 8,02 7,63 8,40 8,45

4,00 3,5 4,5 5,5 6,5 7,5 8,5 9,5

0 10 20 30 40 50 60 70 80 90 100

percentage of acidified (pH 4) seawater [%]pH-value



### Fig. 12 : Left: Different amounts of acidified (pH 4) Calais seawater mixed with non acidified Calais seawater.

Gi ven is the development of pH over time. Right: pH
- value in equilibrium as function of mixing ratio (% pH 4 seawater)


## 7.1.5 Dover, England A similar behaviour as observed for Calais seawater was found for Dover seawater. Fig. 13 shows th e results for this test. For a mixing ration of 50:50 no significant temporal development of the pH can be observed. The first pH change in equilibrium greater than the error range is observable for percentages greater than 50 % pH 4
- seawater

6,0 6,2 6,4 6,6 6,8 7,0 7,2 7,4 7,6 7,8 8,0 8,2 8,4

0 12 24 36 48 60 72 84 time [h]pH-value 10 20 30 40 50_1 50_2 60 70 80 90 8,27 8,21 8,14 8,10 8,05 7,90 7,77 7,57 7,09 7,99 7,95

4,00 3,5 4,5 5,5 6,5 7,5 8,5 9,5

0 10 20 30 40 50 60 70 80 90 100 percentage of pH4 seawater[%]pH-value



### Fig. 13 : Left: Different amounts of acidified (pH 4) Dover seawater mixed with non acidified Dover seawater.

Given is the development of pH. Right: pH
- value in equilibrium as function of mixing ratio (% pH 4 seawater)

### 8 Results and Discussion of environmental samplings

32 

## 7.1.6 Comparison of all re sults (in equilibrium) Looking at the figures Fig. 8 to Fig. 13 it can be seen that during the experiments with Ems river water, Nassau harbour and Odense seawater the mixtures are in equilibrium after abou t the same time. For Dover and Calais seawater, equilibrium is reached much faster. In equilibrium all values, even the river water values, are about the same. Highest values were observed for Calais seawater. Dover Jade and Odense values in equilibrium a re, when error range of the pH meter is taken in consideration, the same for all mixtures.

3,8 4,2 4,6 5,0 5,4 5,8 6,2 6,6 7,0 7,4 7,8 8,2 8,6 9,0

0 10 20 30 40 50 60 70 80 90 100

percentage of pH 4 seawater[%]pH-value Jade Odense Ems Calais Dover 8,33 8,33 8,29 8,22 8,17 8,10 8,00 7,87 7,67 7,21

4,00 3,8 4,2 4,6 5,0 5,4 5,8 6,2 6,6 7,0 7,4 7,8 8,2 8,6 9,0

0 10 20 30 40 50 60 70 80 90 100 percentage of pH 4 seawater[%]pH-value



### Fig. 14 : Left: pH
- value in equilibrium of mixing ratio (% pH 4 seawater) for all pH tests. Right: Mean of all tests

with standard dev iation.

3,8 4,2 4,6 5,0 5,4 5,8 6,2 6,6 7,0 7,4 7,8 8,2 8,6 9,0

0 10 20 30 40 50 60 70 80 90 100 percentage of pH 4 seawater[%]pH-value d pH/ d percentage

0,00 0,05 0,10 0,15 0,20 0,25 0,30 0,35

0 10 20 30 40 50 60 70 80 90 100

percentage of pH 4 seawater in mixture 

### Fig. 15 : Left: mean pH value (points) and standard deviation (error bars) in equilibrium of mixing ratio (% pH 4

seawater) for all pH tests. The black line shows the model fitted to the points and the red line shows the 95 % confidence interval of the model. Right: change of pH over percentage 

### From all pH values determined for the different mixtures in equilibrium the mean and the standard deviation was calculated and plotted against the percentage of the pH 4 water in the mixture. For these values an easy function was searched which fits the values best. Therefore the free available software LAB fit (LAB fit Curve fitting software V 7.2.6.) was used. The determined function 

## percentage d percentage c b percentage a value pH  

     (12)

### 8 Results and Discussion of environmental samplings

33 was then fitted to the data by usin g the software Systat 8.0 (command file see appendix). The result is shown in Fig. 15 . The raw R
- square (1
- Residual/Total), the mean corrected R
- square (1
- Residual/Corrected) and the R (observed vs. predicted) square values, which were calculated with Systat, equalled 1.000.
The values obtained are listed in Table 15 . For 0 % the pH is defined as 

## b a pH  . Table 15 : Values obtained by fitting equation 12 to the pH
- values 

### parameter low 95 % optimum up 95 % A
- 101.784 - 101.646 - 101.508 B
- 12.209 - 12.1645 - 12.120 C 0.117 0.117793 0.118 D
- 0.004 - 0.00273782 - 0.002
According to this function it is possible to mix natural seawater with acidified seawater in a relation of 60:40 to give a p H change of 0.2 pH units. According to the EPA regulations 0.2 units is maximum allowed pH change in the initial mixing zone.

### 8 Results and Discussion of environmental samplings

34 

## 7.2 GC - MS Validation For GC MS validation, one time three different dilution series with concentrations of 1, 10, 50 and 100 ng l - 1 

### and one series made of 9 dilutions (2.5, 25, 25, 50, 50, 100, 250, 500, 1000 μg l - 1 

### ) in which some dilutions were prepared double but were diluted down from different concentrations. From this series one of the 25 μg l - 1 

### and the 500 μg l - 1 

### concentrations were measured 8 times. The three different dilution series were prepared to estimate the error due to the handling and the diluting ( Table 16 ). The calibration series with the nine different steps was prepared to determine the li nearity of the GC MS and the 8
- fold measurements were performed to determine the accuracy of the GC MS including the integration of the peak areas. From Table 10 it can be seen that the relative standard error for the three different dilution series is low. As the stock solution is a mix of all PAHs, it is admissible to calculate the mean of all compounds. Therefore the error concerning to handling, loss to the walls of the vessels and additionally the GC MS is 5.4 %. The accuracy of the GC MS alone is listed in Table 17

. The accuracy for the low molecular weight PAHs is higher than for the high molecular PAHs. The difference between the relative standard deviations of low and high concentra tions is to due to to mathematical reasons. If the peak area error is always the same, the relative error is higher for low peak areas than for higher peak areas. As all samples were concentrated within the range of 25 to 500 ng mL - 1 

### it is admissible to ca lculate the mean of all standard deviations, which results in 2.5 %. This is about the half of the relative standard deviation calculated for the three different dilution series.

Table 16 : Standard deviation of three different st andard dilution series. 

### compound rel. stand dev. acenaphthylene 4.7 acenaphthene 4.7 acenaphthene
- D10 9.7 fluorene 4.9 phenanthrene
- D10 4.5 anthracene 6.0 phenanthrene 5.1 fluoranthene 4.1 pyrene 5.8 benz[ a ]anthracene 6.4 chrysene
- D12 6.8 chrys ene 9.7 benzo[ b ]+benzo[ k

]fluoranthene 5.4 benzo[ a ]pyrene 4.1 perylene
- D12 3.6 dibenz[ a,h ]anthracene 2.4 benzo[ ghi

]perylene 3.7 indeno(1,2,3, c,d )pyrene 5.1 mean 5.4

### 8 Results and Discussion of environmental samplings

35 Table 17 : Accuracy of the GC/MS analysis (including InjST D, integration and measurement) 

### compound mean 25 μg L - 1 

### std. dev.

25 μg L

- 1 

### rel. std. dev. 25 μg L - 1 

### mean

500 μg L - 1 

### std. dev.

500μg l - 1 

### rel. std. dev.

500 μg L - 1 

### acenaphthylene 0.133  0.002  1.4 2.865  0.015  0.5 acenaphthene 0.086  0.001  1.4 1.848  0.009  0.5 acenaphthene
- D10 0.066  0.001  0.8 1.407  0.006  0.4 fluorene 0.092  0.002  1.6 2.029  0.011  0.5 phenanthrene
- D10 0.110  0.001  0.8 2.382  0.007  0.3 phenanthrene 0.142  0.002  1.2 3.117  0.019  0.6 anthracene 0.1 33  0.002  1.1 2.982  0.019  0.7 fluoranthene 0.134  0.002  1.2 2.978  0.016  0.5 pyrene 0.135  0.002  1.8 2.975  0.017  0.6 benz[ a ]anthracene 0.090  0.005  5.5 2.449  0.069  2.8 chrysene
- D12 0.083  0.003  3.1 2.281  0.018  0.8 chr ysene 0.103  0.004  3.8 2.707  0.032  1.2 benzo[ b ]fluoranthene +benzo[ k

]fluoranthene 0.168  0.009  5.4 4.608  0.072  1.6 benzo[ a ]pyrene 0.056  0.004  7.2 1.609  0.045  2.8 perylene
- D12 0.045  0.003  6.5 1.263  0.031  2.4 dibenz[ a,h ]anth racene 0.028  0.003  9.4 0.868  0.033  3.8 benzo[ ghi

]perylene 0.040  0.002  5.9 1.065  0.024  2.3 indeno(1.2.3. c.d

)pyrene 0.030  0.002  7.5 1.015  0.031  3.0
Table 18 : F
- Test for linearity of the GC/MS analysis. Sho wn results were calculated for all dilution steps ranging from 2.5 to 1000 μg L - 1 

### compound 2

_ linear y 

## s 2

_ nonlinear

y 

## s DS2 EV F (1.6) acenaphthylene 33.39 13.75 151.27 11.00 13.745 linear acenaphthene 33.39 13.75 151.27 11.00 13.745 linear acenaphthene
- D10 20.01 6.03 103.93 1 7.24 13.745 linear fluorene 30.66 33.53 13.40 0.40 13.745 linear phenanthrene
- D10 21.90 15.16 62.34 4.11 13.745 linear phenanthrene 33.10 35.98 15.79 0.44 13.745 linear anthracene 114.90 101.42 195.76 1.93 13.745 linear fluoranthene 111.32 85.86 264.0 7 3.08 13.745 linear pyrene 110.49 70.20 352.21 5.02 13.745 linear benz[ a ]anthracene 1999.05 316.49 12094.41 38.21 13.745 nonlinear chrysene
- D12 686.38 265.45 3211.96 12.10 13.745 linear chrysene 342.60 241.16 951.23 3.94 13.745 linear benzo[ b ]fluoran thene benzo[ k ]fluoranthene 2050.00 419.41 11833.50 28.21 13.745 nonlinear benzo[ a ]pyrene 2410.91 222.39 15542.04 69.89 13.745 nonlinear perylene
- D12 2583.90 277.91 16419.87 59.08 13.745 nonlinear dibenz[ a.h ]anthracene 1834.48 125.87 12086.15 96.02 13.74 5 nonlinear benzo[ ghi

]perylene 1558.59 190.58 9766.67 51.25 13.745 nonlinear indeno(1.2.3. c.d) pyrene 2554.00 343.29 15818.21 46.08 13.745 nonlinear

### 8 Results and Discussion of environmental samplings

36 The results for the check on linearity are shown in Table 18 and Table 19 . For the low molecular weight PAHs linearity is given for a range from 2.5 to 1000 ng mL - 1 

### . This group includes acenaphthylene, acenaphthene, acenaphthene
- D10, fluorene, phenanthrene
- D10, phenanthrene, anthracene fluoranthene, pyrene, chrysene and chrysene
- D12. For the high molecular weight PAHs a lower linear range was determined. This group includes benz[ a ]anthracene, benzo[ b ]fluoranthene + benzo[ k ]fluoranthene, benzo[ a ]pyrene, perylene
- D12, dibenz[ a,h ]anthracene, benzo[ ghi ]perylene a nd indeno(1,2,3, c,d

)pyrene. The linearity for these PAHs ranged from 1 to 100 ng mL - 1



### . Based on these results all samples with a concentration above the determined linearity range were diluted to a concentration within this range.

Table 19 : F
- Test for linearity of the GC/MS analysis. Results were calculated with all dilution steps ranging from

2.5 to 100 μg L
- 1 

### compound 2

_ linear y 

## s 2

_ nonlinear

y 

## s DS2 EV F (1,6) benz[ a ]anthracene 4.21 1.245424 13.1 10.52 21.198 linear benzo[ b ]fluoranthene benzo[ k ]flu oranthene 9.766 3.208492 29.44 9.175 21.198 linear benzo[ a ]pyrene 4.932 2.068914 13.52 6.534 21.198 linear perylene
- D12 5.842 455.1465 - 1342 2.949 21.198 linear dibenz[ a,h ]anthracene 11.4 5.994801 27.6 4.605 21.198 linear benzo[ ghi ]perylene 7.665 6.968 051 9.756 1.4 21.198 linear indeno(1,2,3, c,d)

pyrene 7.988 8.354367 6.889 0.825 21.198 linear
The limit of detection was determined as three times the 25 ng mL - 1 

### concentration standard deviation. The results are shown in Table 20

. Table 20 : Limit of detection (LOD) for determined PAHs 

### compound LOD [ng mL - 1 

### ] acenaphthylene 1 acenaphthene 1 acenaphthene
- D10 1 fluorene 2 phenanthrene
- D10 1 phenanthrene 1 anthracene 1 fluoranthene 1 pyrene 1 benz[ a ]anthracene 4 chrysene
- D12 3 chrysene 3 benzo[ b ]fluoranthene benzo[ k ]fluoranthene 4 benzo[ a ]pyrene 5 perylene
- D12 5 dibenz[ a,h ]anthracene 8 benzo[ ghi

]perylene 4 indeno(1,2,3, c,d) pyrene 5

### 8 Results and Discussion of environmental samplings

37 

## 7.3 PAH - Extraction, Validation of Method

As in the most cases PAHs are extracted from fresh water or sediments most applications are fitted for these matrices. Therefore tests (Chapter 4.2 ) were performed to determine the extraction efficiency, the accuracy and the reproducibility of the m ethod. As there is no reference material for PAH in seawater available, for the recovery tests a certified PAH mix in acetone was diluted, added to seawater and extracted as described before. The results of the tests with the different SPE sorbents and th e different elution solvents ( Table 21 ) show that the best recovery rate with the lowest standard deviation was obtained with the SPE C18ec cartridges and DCM as elution solvent. The EASY material showed only low recovery rates ( Fig. 16 ) for the high molecular PAHs. The same was observed when using SPE C18ec and n
- hexane ( Fig. 17 ) as elution solvent. Almost as good results as for C18ec and DCM were observed for C18 PAH SPE sorbent ( Fig. 18 ). But as these cartridges were only available with a load of 500 mg, the flow was much slower and the drying took longer than for C18ec. Therefore in all assays C18ec cartridges and DCM were used to extract the soluble frac tion of the PAHs. LLE also showed good recovery rates, but PAHs with high vapour pressure were lost during evaporation in the rotary evaporator. The recovery rate in natural seawater in Fig. 19 was low for high molecular PAHs when only the liquid fraction was considered. Therefore additionally the filter was extracted. The results are shown in Fig. 21 . Highest recovery rates close to 100 % were observed for fluorene, phenanthrene, pyrene and dibenz[ a,h ]anth racene. The lowest recovery rate was determined for chysene
- D12 with 66.4 %. The mean recovery rate for all compounds was determined to be 86.1 %  10.6. Fig. 20 shows that >90 % of acenaphthylene, acenaphthene, fluorene, phenanthr ene - D10 and anthracene are present in the dissolved form. Benzo[ b ]fluoranthene, benzo[ k ]fluoranthene, benzo[ a ]pyrene, perylene
- D12, dibenz[ a,h ]anthracene, benzo[ ghi ]perylene and indeno(1,2,3, c,d ) pyrene are mainly (>90 %) adsorbed to particles. Benz[ a ]ant hracene, chrysene and chrysene
- D12 are distributed about 50:50 between particulate and aqueous phase. The results of this test showed that a the highest recoveries were found after 2 h and 4 h. Extraction time had a significant influence on phenanthrene, b enz[ a ]anthracene, chrysene
- D12 and chrysene only. For these compounds the soluble fraction was rising with time.

### 8 Results and Discussion of environmental samplings

38 0 20 40 60 80 100 120

a c e n a p h t h y l e n e

a c e n a p h t h e n e - D 1 0 f l u o r e n

p h e n a n t h r e n e - D 1 0
p h e n a n t h r e n e
a n t h r a c e n e p y r e n e

b e n z [ a ] a n t h r a c e n e

c h r y s e n e - D 1 2 c h r y s e n e

b e n z o [ b + k ] f l u o r a n t h

b e n z o [ a ] p y r e n e p e r y l e n - D 1 2

d i b e n z [ a , h ] a n t h r a c e n e

b e n z o [ g h i ] p e r y l e n e

i n d e n o ( 1 , 2 , 3 , c , d ) p y r e n e 0

20 40 60 80 100 120

a c e n a p h t h y l e n e

a c e n a p h t h e n e - D 1 0 f l u o r e n

p h e n a n t h r e n e - D 1 0
p h e n a n t h r e n e
a n t h r a c e n e p y r e n e

b e n z [ a ] a n t h r a c e n e

c h r y s e n e - D 1 2 c h r y s e n e

b e n z o [ b + k ] f l u o r a n t h

b e n z o [ a ] p y r e n e p e r y l e n - D 1 2

d i b e n z [ a , h ] a n t h r a c e n e

b e n z o [ g h i ] p e r y l e n e

i n d e n o ( 1 , 2 , 3 , c , d ) p y r e n e



### Fig. 16 : Results of tests for the determination of the recovery rates of PAHs from seawater. Left: Results of

Liquid
- Liquid
- Extraction. Shown are the recovery rates for the different PAHs and the overall mean and standard deviation. Right: Same for extraction with SPE sorbent Chromabond EASY.

0 20 40 60 80 100 120

a c e n a p h t h y l e n e

a c e n a p h t h e n e - D 1 0 f l u o r e n

p h e n a n t h r e n e - D 1 0
p h e n a n t h r e n e
a n t h r a c e n e p y r e n e

b e n z [ a ] a n t h r a c e n e

c h r y s e n e - D 1 2 c h r y s e n e

b e n z o [ b + k ] f l u o r a n t h

b e n z o [ a ] p y r e n e p e r y l e n - D 1 2

d i b e n z [ a , h ] a n t h r a c e n e

b e n z o [ g h i ] p e r y l e n e

i n d e n o ( 1 , 2 , 3 , c , d ) p y r e n e 0

20 40 60 80 100 120

a c e n a p h t h y l e n e

a c e n a p h t h e n e - D 1 0 f l u o r e n

p h e n a n t h r e n e - D 1 0
a n t h r a c e n e
p h e n a n t h r e n e p y r e n e

b e n z [ a ] a n t h r a c e n e

c h r y s e n e - D 1 2 c h r y s e n e

b e n z o [ b + k ] f l u o r a n t h

b e n z o [ a ] p y r e n e p e r y l e n - D 1 2

d i b e n z [ a , h ] a n t h r a c e n e

b e n z o [ g h i ] p e r y l e n e

i n d e n o ( 1 , 2 , 3 , c , d ) p y r e n e



### Fig. 17 : Results of tests for the determ ination of recovery rates of PAHs from seawater. Left: Extraction by SPE

with sorbent Chromabond C18 ec with elution solvent DCM. Shown are the recovery rates for the different PAHs and the overall mean and standard deviation. Right: Same for SPE sorbent C hromabond C18 ec but with elution solvent n
- hexane.

0 20 40 60 80 100 120

a c e n a p h t h y l e n e

a c e n a p h t h e n e - D 1 0 f l u o r e n

p h e n a n t h r e n e - D 1 0
a n t h r a c e n e
p h e n a n t h r e n e p y r e n e

b e n z [ a ] a n t h r a c e n e

c h r y s e n e - D 1 2 c h r y s e n e

b e n z o [ b + k ] f l u o r a n t h

b e n z o [ a ] p y r e n e p e r y l e n - D 1 2

d i b e n z [ a , h ] a n t h r a c e n e

b e n z o [ g h i ] p e r y l e n e

i n d e n o ( 1 , 2 , 3 , c , d ) p y r e n e 0

20 40 60 80 100 120

a c e n a p h t h y l e n e

a c e n a p h t h e n e - D 1 0 f l u o r e n

p h e n a n t h r e n e - D 1 0
p h e n a n t h r e n e
a n t h r a c e n e p y r e n e

b e n z [ a ] a n t h r a c e n e

c h r y s e n e - D 1 2 c h r y s e n e

b e n z o [ b + k ] f l u o r a n t h

b e n z o [ a ] p y r e n e p e r y l e n - D 1 2

d i b e n z [ a , h ] a n t h r a c e n e

b e n z o [ g h i ] p e r y l e n e

i n d e n o ( 1 , 2 , 3 , c , d ) p y r e n e



### Fig. 18 : Results of tests for the determination of recovery rates of PAHs from seawater. Left: Extraction by SPE

with sorbent Chromabond C18 PAH with elution solvent DCM. Sh own are the recovery rates for the different PAHs and the overall mean and standard deviation. Right: Influence of addition of different amounts of acetone to the sample.

### 8 Results and Discussion of environmental samplings

39 0 20 40 60 80 100 120 140

a c e n a p h t h y l e n e

a c e n a p h t h e n e - D 1 0 f l u o r e n

p h e n a n t h r e n e - D 1 0
p h e n a n t h r e n e
a n t h r a c e n e p y r e n e

b e n z [ a ] a n t h r a c e n e

c h r y s e n e - D 1 2 c h r y s e n e

b e n z o [ b + k ] f l u o r a n t h

b e n z o [ a ] p y r e n e p e r y l e n - D 1 2

d i b e n z [ a , h ] a n t h r a c e n e

b e n z o [ g h i ] p e r y l e n e

i n d e n o ( 1 , 2 , 3 , c , d ) p y r e n e 0

20 40 60 80 100 120 140

a c e n a p h t h y l e n e

a c e n a p h t h e n e - D 1 0 f l u o r e n

p h e n a n t h r e n e - D 1 0
p h e n a n t h r e n e
a n t h r a c e n e p y r e n e

b e n z [ a ] a n t h r a c e n e

c h r y s e n e - D 1 2 c h r y s e n e

b e n z o [ b + k ] f l u o r a n t h

b e n z o [ a ] p y r e n e p e r y l e n - D 1 2

d i b e n z [ a , h ] a n t h r a c e n e

b e n z o [ g h i ] p e r y l e n e

i n d e n o ( 1 , 2 , 3 , c , d ) p y r e n e



### Fig. 19 : Recovery rates of the soluble PAHs from natura l seawater with Chromabond SPE sorbent C18 ec and

elution solvent DCM. Left: Calais seawater Right: Dover seawater.

Table 21 : Mean recovery rates and standard deviations determined for tests with artificial seawater. 

### PAH EASY C18 PAH C18ec/ DCM C18ec/Hexane LLE mean sd mean sd mean sd mean sd mean sd acenaphthylene 79.6 10.0 87.9 4.7 89.5 11.3 97.4 6.5 9.0 16.9 acenaphthene
- D10 76.3 9.8 76.3 6.4 80.8 8.5 90.1 8.0 8.3 18.3 fluorene 87.8 12.0 89.6 9.6 94.4 16.2 105.5 11.0 1 3.2 24.4 phenanthrene
- D10 76.6 7.9 80.8 6.1 88.4 5.7 89.8 5.5 28.4 28.5 phenanthrene 91.9 6.9 97.0 5.6 104.0 10.6 106.4 5.4 31.2 30.8 anthracene 72.8 7.3 76.3 6.5 82.5 8.5 88.1 3.8 28.0 25.7 pyrene 81.9 9.1 91.9 9.7 107.3 8.7 95.3 2.3 76.6 32.0 benz[ a ]anthracene 59.0 2.8 67.9 5.1 92.2 8.1 57.9 4.1 75.5 6.3 chrysene
- D12 54.8 5.3 62.4 3.4 83.9 12.7 53.3 1.5 68.3 5.6 chrysene 59.1 10.7 65.1 4.0 92.5 13.6 57.6 0.3 76.2 4.7 benzo[ b ]fluoranthene +benzo[ k

]fluoranthene 45.6 3.3 66.7 4.4 78.1 5.7 49.9 2.7 7 4.1 3.5 benzo[ a ]pyrene 33.7 9.4 41.4 3.3 57.8 15.5 30.8 3.2 62.1 11.9 perylene
- D12 34.3 4.0 46.6 8.4 59.4 6.9 37.2 6.5 68.4 4.0 dibenz[ a,h ]anthracene 33.5 7.4 61.1 3.2 69.3 9.5 41.3 0.1 72.6 16.5 benzo[ ghi

]perylene 38.1 3.9 88.1 8.4 85.8 18.2 63.7 2.0 86.0 9.8 indeno(1,2,3, c,d) pyrene 36.9 6.0 70.5 2.7 76.9 5.4 48.7 1.6 71.4 7.4 mean + standard deviation 60.1 21.1 73.1 16.0 84.0 13.8 69.6 25.8 53.1 27.9

### 8 Results and Discussion of environmental samplings

40 0 10 20 30 40 50 60 70 80 90 100

a c e n a p h t h y l e n e

a c e n a p h t h e n e - D 1 0 f l u o r e n

p h e n a n t h r e n e - D 1 0
a n t h r a c e n e
p h e n a n t h r e n e p y r e n e

b e n z [ a ] a n t h r a c e n e

c h r y s e n e - D 1 2 c h r y s e n e

b e n z o [ b + k ] f l u o r a n t h

b e n z o [ a ] p y r e n e p e r y l e n - D 1 2

d i b e n z [ a , h ] a n t h r a c e n e

b e n z o [ g h i ] p e r y l e n e

i n d e n o ( 1 , 2 , 3 , c , d ) p y r e n e 1 h 2 h 4 h 10 h



### Fig. 20 : Fractionation of PAHs between dissolved and particulate fracti on after different incubation times.79,888,299,990,4101,686,196,670,666,471,576,386,889,296,790,187,4

0 20 40 60 80 100 120

a c e n a p h t h y l e n e

a c e n a p h t h e n e - D 1 0 f l u o r e n

p h e n a n t h r e n e - D 1 0
a n t h r a c e n e
p h e n a n t h r e n e p y r e n e

b e n z [ a ] a n t h r a c e n e

c h r y s e n e - D 1 2 c h r y s e n e

b e n z o [ b + k ] f l u o r a n t h

b e n z o [ a ] p y r e n e p e r y l e n - D 1 2

d i b e n z [ a , h ] a n t h r a c e n e

b e n z o [ g h i ] p e r y l e n e

i n d e n o ( 1 , 2 , 3 , c , d ) p y r e n e



### Fig. 21 : Mean recovery rate and standard deviation for eight extractions of Dover seawater and particulate

fraction.

### 8 Results and Discussion of environmental samplings

41 

# 8 Results and Discussion of environmental samplings In this chapter th e results of the different samplings are shown. The pH, salinity, temperature, metal, sulphate, nutrients, plankton and PAH data will first be shown and described for each sampling and then the variations over the annual circle will be presented. 

## 8.1 1 st 

## samp ling (February) 8.1.1 pH, Temperature, Salinity, Conductivity, Oxygen
Table 22 shows the pH, water temperature, air temperature, salinity and oxygen contents measured during the sampling on 11.02.2004. The most eastern point (Point Cal 2 : Quai de service) showed the lowest pH and the lowest salinity. The highest salinity (31 PSU) was observed for the point the closest to the open sea. The temperature was nearly the same for all points. Only at Cal 1 (Quai en eau profonde) water temperatur e was a little lower (8.2 °C). Oxygen was saturated at all points.

Table 22 : Air and water temperature [°C], salinity [PSU], pH value and oxygen [mg l - 1 

### ] during sampling in Calais

harbour on 11.2.2004 

### temp. air [°C] temp. water

[°C] salinity

[PSU] pH oxygen

[mg L - 1 

### ] Cal 1 Quai en eau profonde 8.2 7.4 27.0 7.97 9.7 Cal 2 Quai de service 8.8 7.3 18.3 7.81 9.3 Cal 3 Quai de la Loire 8.8 7.3 29.6 8.04 10.3 Cal 4 Jetee ouest 8.8 7.4 31.0 8.02 8.4
All samples in Calais were taken between 8:45 am and 10:30 am (CET). According to Table 8 low tide was at 10:45 am, so all samples were taken during ebb tide. All samples in Dover were taken between 18:30 and 19:00 (CET). According to Table 8 low tide on 11.2.2004 was at 21:39. Therefore all samples in Dover were also taken at ebb tide. Table 2 3 shows the water temperature, the salinity and the pH for the samples taken in Dover during the sampling on 11.02.2004. Fo r all stations the results are similar. pH was with 8.10 higher than in Calais. The temperature 8.4 °C was about 0.4 °C colder and salinity was about 3 units higher than in Calais. Table 2 3 : Water temperature [°C], salinity [PSU] and pH
- value during sampling in Dover harbour on 11.2.2004

and on board of the “Pride of Kent” 

### temp. water [°C] salinity

[PSU] pH Point 7 Harbour entrance 8.5 34.1 8.10 Point 8 Middle port 8.4 34.0 8.10 Point 9 Quay 4 8.1 34.1 8.11 Point SCH1 Channel SWS inlet 9.2 34.3 8.06 Point SCH2 Channel SWS outlet 22.3 34.9 7.99

### 8 Results and Discussion of environmental samplings

42 Despite dilution by the cooling water the temperature was higher in the outflow than in the inlet water (inlet 9.2 °C outlet 22.3°C). Although this increase will have no or only littl e direct influence on the ecosystem it will influence the physical behaviour of the effluent. Higher temperatures at constant salinity increase the buoyancy of the effluent in comparison to the surrounding water. This may partially hinder the water bodies from effective mixing. A change in salinity, which would support or reduce this effect, was not observed. Another effect of higher water temperatures is the lower solubility of gaseous compounds in warmer water. This could lead to oxygen depletion. As oxyg en was saturated in all samples no adverse effect was observed. Besides, a negative effect of cooling water discharges from ships on the surrounding environment was, concerning to the knowledge of the author, never reported.



## 8.1.2 Metals and Sulphate Metal and sulphate concentrations determined by ICP
- OES are shown in Table 25 . The determined metals are listed in chapter 5.3 on page 15 . Concentrations below the detection limit are marked by a dash. The concentration of the sea salt standard (International Association for Physical Science of the Ocean, IAPSO) are given in Table 24

. Table 24 : Contents of the International Association for Physical Science of the Ocean standard for natural

Atlantic seawater. element Ba Ca Cd Co Cr Cu Fe K Li Mg unit ppb ppm ppb ppb ppb ppb ppb ppm ppb ppm concentration 14 412 0.01 0.05 0.04 0.1 2 387 180 1294
element Mn Mo Ni Pb SO4 Sr V Zn unit ppb ppb ppb ppb ppm ppb ppb ppb concentration 0.2 10 0.2 0.003 2712 8000 2.5 0.1 

### During the sampling on 11.2.2003 none of the examined transition metals were found inside the harbours with the exception of Calais point Cal 2: Quai de service. Here a man ganese concentration of 69 ppb was detected. At this point earth metals were with the exception of barium lower in comparison to the other points, whereas at the harbour entrance in Dover Ba, Li, Sr, Ca, K and Mg concentrations were slightly higher than at the other points. The sulphate concentration was highest at this point too. Both, the high sulphate and the high earth metal concentrations are mainly due to the higher salinity at this point. The comparison between seawater scrubber inlet and outlet wate r showed a slight increase of the zinc concentration in the outlet water. This is most probably due to a contamination from for example the tubing, the fittings or the pumps.

### 8 Results and Discussion of environmental samplings

43 Table 25 : Sulphate, earth and transition metals dete rmined for the samples taken on 11.02.2004. Fields with”
- “

show concentrations below the detection limit.



### Cal 1 Cal 2 Cal 3 Cal 4 7 8 9 21 22 Ba ppb 17 21 18 16 20 14 14 13 12 Ca ppm 339 263 359 369 509 391 390 395 401 Cd ppb
- - - - - - - - - Co ppb
- - - - - - - - - Cr ppb
- - - - - - - - Cu ppb
- - - - - - - - - Fe ppb
- - - - - - - - - K ppm 280 180 310 352 475 352 373 357 376 Li ppb 148 112 161 169 232 185 186 181 185 Mg ppm 994 664 1071 1113 1567 1183 1191 1219 1254 Mn ppb
- 68 - - - - - - - Mo ppb
- - - - - - - - - Ni ppb
- - - - - - - - - Pb ppb
- - - - - - - - - SO4 ppm 2161 1479 2399 2461 3831 2857 2853 2842 2874 Sr ppb 6392 4448 6853 7223 10188 7889 7863 7907 8093 V ppb
- - - - - - - - - Zn ppb
- - - - - - - - 143


## 8.1.3 Nutrie nts Table 26 shows the nutrients concentrations determined for the samples taken on 11.02.2004. The following abbreviations are used. Total chlorophyll (THCL), particulate inorganic phosphorus (PIP), particulate organic phosphorus (POP), total particulate phosphorus (TPP), reactive dissolved phosphorus (RDP), dissolved organic phosphorus (DOP), total dissolved phosphorus (TDP), dissolved inorganic nitrogen (DIN). The chlorophyll concentration was highest at point Cal 4 and lowest in the seawater scrubber outlet. At point Cal 4 also the phosphorus and nitrogen compounds were high, but highest at point Cal 2. This might indicate a higher amount of diatoms or a starting bloom. Table 26 : Nutrient concentrations determined for the samples taken on 11.02.2004



### TCHL Seston PIP POP TPP RDP DOP TDP [μg L - 1 ] [mg L - 1 ] [μmol L - 1 ] [μmol L - 1 ] [μmol Ll - 1 ] [μmol L - 1 ] [μmol L - 1 ] [μmol L - 1 ] 

### Cal 1 2.2 62.8 0.80 0.70 1.50 0.51 8.14 8.65 Cal 2 2.6 39.1 0.88 0.82 1.69 5.23 5. 28 10.51 Cal 3 2.7 42.5 0.25 0.38 0.63 0.70 5.42 6.12 Cal 4 6.6 138.6 0.08 0.82 0.90 0.51 6.12 6.63 7 (Dover) 2.5 122.7 0.25 0.58 0.83 0.26 5.43 5.69 8 (Dover) 2.4 120.8 0.22 0.60 0.82 0.35 3.52 3.88 9 (Dover) 3.0 108.8 0.29 0.42 0.71 0.35 2.83 3.1 8 SCH1 1.4 75.1 0.10 0.36 0.45 0.35 4.20 4.55 SCH2 0.9 55.3 0.05 0.32 0.36 0.26 4.97 5.23

### 8 Results and Discussion of environmental samplings

44 NO 2 - 

### NO 3 - 

### NH 4 + 

### DIN Si(OH) 4 [μmol L

- 1 ] [μmol L - 1 ] [μmol L - 1 ] [μmol L - 1 ] [μmol L - 1 ] 

### Cal 1 0.90 42.09 24.31 67.30 54.27 Cal 2 2.03 74.66 107.64 184.32 92.78 Cal 3 1.15 61.89 15.29 78.33 34.95 Cal 4 0.74 41.86 10.41 53.02 24.50 7 (Dover) 0.22 15.97 1.49 17.69 6.31 8 (Dover) 0.23 15.21 18.96 34.40 6.57 9 (Dover) 0.44 20.10 19.25 39.79 9.38 SCH1 0.33 16.41 1.53 18.26 5.63 SCH2 0.22 11.41 1.53 13.16 7.37 

## 8.1.4 P olycyclic Aromatic Hydrocarbons
Table 69 gives the total amounts of the 16 EPA
- PAHs (without naphthalene), n Table 70 the concentrations of the dissolved and the particulate are shown. The highest concentra tion was determined for point Cal 4: Jetee Ouest, the lowest concentration for point Cal 3 Quai de la Loire. For points Cal 2 and Cal 3 total concentrations of 267 ng L - 1 

### and 354 ng L - 1 

### were determined. In all cases phenanthrene was dominating and only at point 4 a higher amount of low molecular weight PAHs was found. In Dover at all sampling points the PAH amounts were about equally high, and in the same order of magnitude as in Calais. The dominating compound was in Dover phenanthrene too. High molecula r weight PAHs had extremely low contents. The PAH contents determined for the Ecosilencer inlet and outlet are shown in Table 72 . In these samples phenanthrene was dominating too. The total amount of PAHs determined at the outlet w as 16 - fold higher than the amount determined in the inlet water. In the outlet water the particulate fraction was about five times higher than the dissolved fraction. To determine whether the PAHs are similarly distributed and show similar patterns a regre ssion of the compounds was performed. The results are shown in Table 28 . It can be seen that the range of the correlation coefficients is widely distributed from not significant to 0.999. Highest R2 values were observed between th e more soluble two
- and three
- ring compounds whereas the relation between the soluble and insoluble PAHs is lower. As this method might be influenced by great differences in concentrations of the single compounds a regression of the concentrations at the d ifferent sampling points was performed ( Table 27 ). The difference between these two approaches is that the regression of the compounds shows high correlation coefficients if for example anthracene is high at all points where phenan threne is low. The correlation coefficient for the regression of the sampling points reflects the relation of all compounds to each other. The regression of the sampling points delivered high correlations coefficients for all regressions. This indicates th at the PAHs are similarly distributed at all points. The results of the compound regression are shown in Table 28 . It can be seen that the low molecular weight PAHs are highly correlated with the remaining low molecular weight PAH s and the high molecular weight PAHs with the remaining high molecular weight PAHs. But the high molecular compounds are not correlated with the low molecular compounds. This shows that the PAH

### 8 Results and Discussion of environmental samplings

45 load of the water has a similar composition at all points, whe reas the PAHs bound to particles show a different composition.

Table 27 : Regression of sample points (Sampling 11.2.04). Colours are added for a better visualisation. Yellow
-

highly correlated, red
- moderate or low correlation, dark red
- no significant. correlation.Cal1Cal2Cal3Cal4789SCH1SCH2


### Cal1 1 0.997 0.987 0.874 0.995 0.95 0.997 0.999 0.982 Cal2 1 0.986 0.855 0.995 0.951 0.992 0.995 0.986 Cal3 1 0.859 0.99 0.937 0.979 0.989 0.978 Cal4 1 0.833 0.822 0.884 0.865 0.786 7 1 0.946 0.987 0.997 0.993 8 1 0.947 0.947 0.932 9 1 0.995 0.97 SCH1 1 0.985 SCH2 1

Table 28 : Regression of compound contents determined for the samples taken on 11.2.04. Colours are added for

a better visualisation. Yellow
- highly correlated, red
- moderate or low corr elation, dark red
- no significant correlation.ATHYATHEFLREPHENANTHFLUAPYRBaACHRYBbkFBaPDahABghiPINDE 

### ATHY 1 0.994 0.988 0.988 0.954 0.989 0.746 NS 0.405 NS NS NS NS NS ATHE 1 0.995 0.995 0.967 0.995 0.753 NS 0.412 NS NS NS NS NS FLRE 1 0.999 0.965 0.997 0.738 NS 0.404 NS NS NS NS NS PHEN 1 0.969 0.999 0.756 NS 0.418 NS NS NS NS NS ANTH 1 0.971 0.778 NS 0.419 NS NS NS NS NS FLUA 1 0.779 NS 0.441 NS NS NS NS NS PYR 1 0.497 0.821 0.418 0.403 NS 0.309 0.304 BaA 1 0.665 0.672 0.571 NS 0.435 0.417 CHRY 1 0.71 0.742 NS 0.602 0.567 BbkF 1 0.959 NS 0.913 0.835 BaP 1 NS 0.915 0.814 DahA 1 NS NS BghiP 1 0.957 INDE 1

### 8 Results and Discussion of environmental samplings

46 

## 8.2 2 nd 

## sampling (March) During this sampling the Ecosilencer was not fully operating. Problems were encountered, because the velocity of the exhaust gas was too high (17 m s - 1 

### ). For an optimal operation vel ocity should be <7 m s - 1 

### to allow condensation in the funnel. Therefore, acidic droplets left the exhaust funnels. Only the exhaust gases of the four auxiliary engines were scrubbed, whereas SWS 3 was shut off, due to corrosion problems. Also auxialary eng ine 2 was off, but with the SWS running ( Fig. 22 ).

SWS1 SWS2 SWS3 SWS3

Auxiliary engine 1 (650-700 kW) Auxiliary engine 2 (650-700 kW) Auxiliary engine 3 (900 kW) Auxiliary engine 4 (650-700 kW) = off 

### Fig. 22 : The auxiliary engines and SWS running at the 24.03.04 Engine no. 2 did not produce exhaust gas, therefore the SWS 2 did not adsorb any SO 2 

### and others constituents of the gas. The exhaust gas of engine 3, the one with the maximum power escapes directly into the atmosphere. Thus, only half of the planned SO 2 

### was scavenged by the system.



## 8.2.1 pH, Temperature, Salinity, Conductivi ty, Oxygen
Table 29 shows the pH, water and air temperatures, salinity and oxygen content determined for the samples taken in Calais on 23.3.2004. Values measured at points Cal 1, Cal 2 and Cal 4 are nearly the same with the highes t pH value measured at point Cal 4 and the highest salinity measured at point Cal 2. Point Cal 3 is in all cases an exception. At this point an unusually high pH value and oxygen content were measured. Also a lower temperature and salinity were observed.

Table 29 : Air and water temperature [°C], salinity [PSU], pH value and oxygen [mg L - 1 

### ] during sampling in Calais

harbour on 23.3.2004 

### temp. air [°C] temp. water

[°C] salinity

[PSU] pH oxygen

[mg L - 1 

### ] Cal 1 Quai en eau profo nde 8.6 8.5 31.2 8.42 9.85 Cal 2 Quai de service 8.1 8.5 31.7 8.50 9.79 Cal 3 Quai de la Loire 9.4 7.7 27.5 9.35 >20 Cal 4 Jetee ouest 8.1 8.5 31.5 8.63 9.87

### 8 Results and Discussion of environmental samplings

47 All samples in Calais were taken between 16:00 and 18:30 (CET). According to Table 8 high tide was at 14:21 and therefore samples were taken at ebb tide. Table 30 shows the pH, water and air temperatures, salinities and oxygen contents determined for the samples taken in Dover on 24.03.2004. The s amples from points 5 and 6 were taken between 8:40 and 10:00 ( Table 9 ) and therefore shortly after low tide ( Table 8 ). Samples at point 7, 8 and 9 were taken between 13:15 and 13:35 and therefore quite exac tly at high tide. The lowest temperature was measured at point 6 the other values determined for this point are about the same as those measured close to the „Pride of kent“. The sample take at the beach at point 5 had the lowest salinity and the lowest pH

. Table 30 : Air and water temperatures [°C], salinity [PSU], pH value and oxygen [mg L - 1 

### ] during sampling in Dover

harbour on 24.3.2004 

### Dover temp. air [°C] temp. water

[°C] salinity

[PSU] pH oxygen

[mg L - 1 

### ] Point 5 Churchil l Hotel Beach 9.0 11.0 27.0 7.68 9.52 Point 6 Prince of Wales pier 7.4 8.9 34.3 7.86 10.1 Point 7 Back of „Pride of kent“ 12.3 8.8 34.2 7.95 Point 8 Middle of „Pride of kent“ 12.3 8.8 34.4 7.95 Point 9 Front of „Pride of kent“ 12.3 8.8 34.4 8.00

Table 31 shows the pH, the salinities and the temperatures measured inside the seawater scrubber system. Looking at the inlet samples, the temperature was highest inside the Channel (15.2°C). The lowest salinity was measured in Cal ais (32.9) and the lowest pH (7.72) in Dover. If these values are compared with the values at the outlet it can be seen that the salinity was slightly increased and the temperature was raised by about 2 °C to 3 °C. The pH was lowered in all cases. The stro ngest reduction was observed in the channel where the difference between inlet and outlet pH was 1.16 pH units whereas in Calais and in Dover it was 0.66 and 0.43, respectively.

Table 31 : Water temperature [°C], salinity [PSU], pH value and oxygen [mg L - 1 

### ] during sampling on the “Pride of

Kent” on 24.3.2004 

### temp. water [°C] salinity

[PSU] pH SD1 seawater inlet Dover 10.7 34.2 7.72 SD2 seawater outlet Dover 14.8 34.6 7.29 SCH1 seawater inlet Channel 15.2 34.9 7.94 SCH2 seawa

ter outlet Channel 17.1 35.2 6.78 SCH3 outlet from US filter 27.6 35.5 2.73 SCH4 to settling tank 28.8 35.4 2.86 SCH5 inlet to US filter 27.9 35.2 2.82 SCH6 return from Ecosilencer 28.0 35.2 2.78 SCH7 top of settling tank 27.2 33.5 2.83 SCH8 bottom o f settling tank 23.0 34.9 2.83 SC1 seawater inlet Calais 9.5 32.9 8.00 SC2 seawater outlet Calais 12.8 32.9 7.34

### 8 Results and Discussion of environmental samplings

48 The values determined for the samples taken from the remaining seawater scrubber points show, with the exception of the settling tank, no change in salinity. Inside the settling tank the salinity was lower perhaps because the water remains there for a while and therefore water from different water bodies is mixed. The remaining time of the water inside the settling tank might also be an expl anation why there the pH is higher than pH 3 as in comparison to the remaining seawater scrubber points, where it is lower than 3. Although the effluent water had a significantly lower pH than the inflowing water, no pH change in the harbour or close to t he “Pride of Kent” was measured. Additionally there was no pH change observable inside the harbour between the first sampling where the Ecosilencer was not running and the second sampling.



## 8.2.2 Metals and Sulphate Sulphate, transition and earth metal concentra tions of the harbour and the Ecosilencer samples taken on 23/24.03.2004 are given in Table 32 . Inside the ports a copper concentration of 220 ppb in Calais at point Cal 1 and a zinc concentration of 53 ppb at point 9 in Dover were observed. Sulphate concentrations were highest in Dover at the Prince of Wales Pier and at Terminal 4 (back of “Pride of Kent”, Point 9). The samples taken in the middle (point 8) and at the front (point 7) of the „Pride of Kent“ show lower earth metal and sulphate conentents than the other samples. Inside the seawater scrubber system the highest transition metal contents were determined for the samples taken from the tube to the settling tank and inside the settling tank. Additionally, high copper and zinc concentrations were found at the inlet to the US filter. Except for iron (789 ppb) no metals could be detected directly after the Ecosilencer. This indicates that most metals are leached from the tubing due to the low pH and do not originate from the flue gas scrubbing process itself. At the outlet of the US filter only vanadium (183 ppb) was determined and in the SWS outlet sample taken in the Channel and in Dover, zinc (138 ppb and 537 ppb) was detected. Inside the seawater scrubber system highest transie nt metal concentrations were found at the inlet to and inside the settling tank. This indicates that most of the metals are bound to particles or are particulates themselves and are therefore effectively removed from the system. Sulphate concentrations di d show an increase inside the SWS directly after the Ecosilencer but this increase was diluted to the SWS inlet sulphate level before it left the „Pride of Kent“. Inside the harbours the sulphate concentrations are at about the same level as the effluent c oncentrations but due to different salinity values they vary within a range of 1500 and 3350 ppm.

### 8 Results and Discussion of environmental samplings

49 Table 32 : Sulphate, earth and transition metal contents determined for the samples taken in July

Cal 1 Cal 2 Cal 3 Cal 4 5 6 7 8 9 SD1 SD2 SCH2 SCH1 SCH3 SCH4 SCH5 SCH6 SCH7 SCH8 SC1 SC2 Ba ppb 18 20 22 18 23 19 18 15 19 16 17 16 21 18 34 19 19 24 26 18 19 Ca ppm 382 356 348 380 341 398 327 279 371 395 397 405 406 411 434 404 396 396 562 381 370 Cd ppb
- - - - - - - - - - - - - - - - - - - - - Co ppb
- - - - - - - 8 - - - - - - - - - - - - - Cr ppb
- - - - - - - - - - - - - - 264 - - - - - - Cu ppb 220 - - - - - - - - 129 129 - - - 7089 10978 - 273 2127 - - Fe ppb
- - - - - - - - - - - - - 1051 5283 892 789 1508 - - - K ppm 352 345 314 366 288 398 340 297 381 397 384 428 426 434 437 422 419 405 424 388 367 Li ppb 164 158 147 165 140 178 150 128 169 188 188 187 185 185 185 183 180 175 183 172 166 Mg ppm 1154 1091 1007 1161 980 1251 1028 883 1173 1213 1202 1278 1278 1290 1289 1272 1245 1207 1255 1189 1149 Mn ppb
- - - - - - - - - - 20 - - - 72 - - - 332 - - Mo ppb
- - - - - - - - - - - - - - - - - - 403 - - Ni ppb
- - - - - - - - - - - - - - 277 - - - 1076 - - Pb ppb
- - - - - - - - - - - - - - - - - - - - - SO4 ppm 2619 2625 2307 2628 2277 2920 2342 1942 2955 2949 2962 2990 3052 3342 3380 3359 3550 3235 3419 2920 2938 Sr ppb 7220 6829 6345 7202 6160 7730 6410 5490 7308 7987 8024 8031 7953 8074 8193 7950 7830 7616 8491 7487 7151 V ppb
- - - - - - - - - - - - - 183 320 - - - - - - Zn ppb
- - - - - - - - 53 - 537 - 138 - 1033 1461 655 414 98 - - 

### For a better visualisation an d a better estimate of the SWS influence a comparison between the sulphate, transition and earth metal concentration determined for the SWS inlet and outlet is show in Figs. 22 to 28 comparing the inlet and outlet samples taken in March and February. Sampl es taken on 11.02.2004 are marked, because during this sampling the seawater scrubber was not running. During the sampling on 24.03.2004 copper was found in inlet and outlet samples taken in Dover. In both samples the copper concentration was the same. In Dover also manganese was found, but only in the outlet effluent. In all outlet but not in the inlet samples except in Calais on 24.03.2004 zinc was determined. Earth metals were all, within the accuracy of the measurements, equally concentrated in the inl et and outlet samples, only barium seems to be slightly increased, when the SWS is running.
Copper (Cu) Comparison between SWS Inlet and Outlet129129

0 20 40 60 80 100 120 140

D

o v e r 2 4
. 0 3

. 0 4 C h a n n e l 2 4

. 0 3

. 0 4 C a l a i s 2 4

. 0 3

. 0 4 C h a n n e l 1 1

. 0 2

. 0 4concentration[ppb]

Inlet Outlet + below = detection limit IAPSO= 0 ppb

+ + + + + + Manganese (Mn) Comparison between SWS Inlet and Outlet20

0 5 10 15 20 25

D

o v e r 2 4

. 0 3

. 0 4 C h a n n e l 2 4
. 0 3

. 0 4 C a l a i s 2 4

. 0 3
. 0 4 C h a n n e l 1 1
. 0 2

. 0 4concentration[ppb]

Inlet Outlet + below = detection limit IAPSO= 0

+ + + + + + +



### Fig. 23 : Left: Copper content [ppb]. Right: Manganese content [ppb] determined for Ecosilencer inlet and outlet

samples taken in Ca lais, Dover and the Channel on 23/24.03.2004 and on 11.02.2004. IAPSO: Atlantic water salinity standard.

### 8 Results and Discussion of environmental samplings

50 Zinc (Zn) Comparison between SWS Inlet and Outlet537138143 0 100 200 300 400 500 600

D

o v e r 2 4

. 0 3

. 0 4 C h a n n e l 2 4

. 0 3

. 0 4 C a l a i s 2 4

. 0 3

. 0 4 C h a n n e l 1 1
. 0 2

. 0 4concentration[ppb]

Inlet Outlet + below = detection limit IAPSO= 0 ppb

+ + + + + Barium (Ba) Comparison between SWS Inlet and Outlet1616181721191312 0 5 10 15 20 25 30 35

D

o v e r 2 4

. 0 3

. 0 4 C h a n n e l 2 4

. 0 3

. 0 4 C a l a i s 2 4

. 0 3

. 0 4 C h a n n e l 1 1
. 0 2

. 0 4concentration[ppb]

Inlet Outlet

- = IAPSO 

### Fig. 24 : Left: Zinc content [ppb]. Right: Barium content [ppb] determined for Ecosilencer inlet and outlet

samples taken in Calais, Dover and the Channel on 23/24.03.2004 and on 11.02.2004. IAPSO: Atlantic water salinity standard. Lithium (Li) Comparison between SWS Inlet and Outlet188187172181188185166185

0 50 100 150 200 250

D

o v e r 2 4

. 0 3

. 0 4 C h a n n e l 2 4

. 0 3

. 0 4 C a l a i s 2 4

. 0 3

. 0 4 C h a n n e l 1 1
. 0 2

. 0 4concentration[ppb]

Inlet Outlet

- = IAPSO Strontium (Sr) Comparison between SWS Inlet and Outlet79878031748779078024795371518093

0 1000 2000 3000 4000 5000 6000 7000 8000 9000

D

o v e r 2 4

. 0 3

. 0 4 C h a n n e l 2 4

. 0 3

. 0 4 C a l a i s 2 4

. 0 3

. 0 4 C h a n n e l 1 1
. 0 2

. 0 4concentration[ppb]

Inlet Outlet

- = IAPSO 

### Fig. 25 : Left: Lithium content [ppb]. Right: Strontium content [ppb] determined for Ecosilencer inlet and outlet

sa mples taken in Calais, Dover and the Channel on 23/24.03.2004 and on 11.02.2004. IAPSO: Atlantic water salinity standard. Calcium (Ca) Comparison between SWS Inlet and Outlet395405381395397406370401

0 50 100 150 200 250 300 350 400 450

D

o v e r 2 4

. 0 3

. 0 4 C h a n n e l 2 4

. 0 3

. 0 4 C a l a i s 2 4

. 0 3

. 0 4 C h a n n e l 1 1

. 0 2

. 0 4concentration[ppm]

Inlet Outlet

- = IAPSO Potassium (K) Comparison between SWS Inlet and Outlet397428388357384426367376

0 50 100 150 200 250 300 350 400 450 500

D

o v e r 2 4

. 0 3

. 0 4 C h a n n e l 2 4

. 0 3

. 0 4 C a l a i s 2 4

. 0 3

. 0 4 C h a n n e l 1 1

. 0 2

. 0 4concentration[ppm]

Inlet Outlet

- = IAPSO 

### Fig. 26 : Left: Calcium content [ppm]. Right: Potassium content [ppm] determined for Ecosilencer inlet and outlet

samples taken in Calais, Dover and the Channel on 23/24.03.2004 and on 11.02.2004. IAPSO: Atlantic water salinity standard.

### 8 Results and Discussion of environmental samplings

51 Magnesium (Mg) Comparison between SWS Inlet and Outlet12131278118912191202127811491254

0 200 400 600 800 1000 1200 1400

D

o v e r 2 4

. 0 3

. 0 4 C h a n n e l 2 4

. 0 3

. 0 4 C a l a i s 2 4

. 0 3

. 0 4 C h a n n e l 1 1
. 0 2

. 0 4concentration[ppm]

Inlet Outlet

- = IAPSO Sulphate (SO4) Comparison between SWS Inlet and Outlet29492990292028422962305229382874

0 500 1000 1500 2000 2500 3000 3500

D

o v e r 2 4

. 0 3

. 0 4 C h a n n e l 2 4

. 0 3

. 0 4 C a l a i s 2 4

. 0 3

. 0 4 C h a n n e l 1 1
. 0 2

. 0 4concentration[ppm]

Inlet Outlet

- = IAPSO 

### Fig. 27 : Left: Magnesium content [ppb]. Right: Sulphate content [ppb] determined for Ecosi lencer inlet and

outlet samples taken in Calais, Dover and the Channel on 23/24.03.2004 and on 11.02.2004. IAPSO: Atlantic water salinity standard.


## 8.2.3 Nutrients
Table 26 shows the nutrient and seston contents determined for the sampl es taken in March. In Calais the highest seston content was observed at point Cal 2 (50.9 mg L - 1 

### ) where about double the content of the remaining points was observed. Sampling point 5 was situated at a sandy beach therefore the seston content was higher (8 0.9 mg l - 1 

### ) in comparison to the sample taken at the Prince of Wales pier where the seston content was comparable to those measured in Calais. On board of the „Pride of Kent“ the highest contents where not observed inside the settling tank as expected, but in the outlet of the US filter (132.0 mg L - 1 

### ). Inside the pipe which leads the water to the settling tank also high particle contents where observed. Looking at the inlet and the outlet samples it can be seen, that the highest seston contents were observe d in the inlet sample taken in Calais (262.6 mg L - 1 

### ). This might be an effect of the berthing, where the screws whirl up a lot of sediment, which then might be sucked into the ships cooling cycle. In Calais and Dover the seston contents in the outlet are l ower than those observed in the inlet. That shows that the clean
- up system inside the ship (cyclones, settling tank and US filter) worked and removed these particles. It also explains the high content measured at point SCH4 where the removed particles pass by. Looking at the RDP, DOP and TDP values it can be seen that they are quite the same in Dover and Calais. Only at point Cal 3 where the algal bloom was observed nearly doubled TDP concentrations were determined. At this point also the DIN concentration s were very high and only inside the settling tank higher concentrations were measured. In both samples these high concentrations are due to by high ammonia values; 33.05 μmol L - 1 

### at point Cal 3 and 76.66 μmol L - 1 

### at point SCH8 were observed, whereas at th e remaining points the concentrations varied between 1.34 and 12.81 μmol L - 1 

### . A nitrate increase in the outlet samples in comparison to the inlet samples was only observed in Dover and inside the Channel. In Calais the inlet sample contained more nitrate ( 20.47 μmol L - 1 

### ) than the outlet

### 8 Results and Discussion of environmental samplings

52 sample (18.30 μmol L - 1 

### ), but nitrite concentrations were higher in the outlet samples in Calais and the Channel and equally high in the inlet and outlet samples in Dover. Silicate concentrations were also highest in the samp le taken from the settling tank (78.53 μmol L - 1 

### ). Inside the ports of Dover and Calais the highest concentrations were again measured at point Cal 3 and point 5. At point 5 the high concentration originates from the sand at the beach and at point Cal 3 cen tric diatoms were observed which are mainly built up by silicate. Inside the seawater scrubber system high nitrate concentrations were observed, as expected, behind the Ecosilencer (19.38 μmol L - 1 

### ). At the following points the nitrate concentrations were r educed to 17.3 μmol L - 1 

### at the inlet and 14.73 μmol L - 1 

### at the outlet of the US filter. In the overboard discharge the remaining nitrate concentration was only 8.55 μmol L - 1 

### . In contrary to the reduction of nitrate, the reduced nitrogen compounds nitrite a nd ammonia increased slightly. Table 33 : Nutrient concentrations determined for the samples taken on 24.03.2004 samp. point Seston RDP DOP TDP NO 2 - 

### NO 3 - 

### NH 4 + 

### DIN Si(OH) 4

[mg L - 1 ] [μmol L - 1 ] [μmol L - 1 ] [μmol L - 1 ] [μmol L - 1 ] [μmol L - 1 ] [μmol L - 1 ] [μmol L - 1 ] [μmol L - 1 ] 

### Cal1 35.6 0.18 4.43 4.60 0.83 24.37 - - 18.41 Cal2 50.9 0.66 2.71 3.37 0.64 20.97 12.81 34.42 14.75 Cal3 23.7 2.20 4.80 7.00 1.38 18.92 33.05 53.35 25.27 Cal4 22.2 0.42 3.88 4.30 0.78 25.63 8.33 34.74 10.89 5 80.9 1.30 3.15 4.45 0.22 22.57 1.34 24.12 38.23 6 36.7 0.18 4.89 5.07 0.32 20.08 4.11 24.50 7.04 SD1 47.2 0.18 - - 0.20 14.72 - - 17.81 SD2 41.5 0.14 - - 0.20 18.67 - - 15.15 SCH1 4.6 0.08 - - 0.22 7.89 - - 4.08 SCH2 8.3 0.04 - - 2.97 8.55 - - 18.22 SCH3 132.0 1.21 - - 0.21 14.73 3.14 18.07 25.89 SCH4 118.5 0.79 - - 1.62 13.38 6.11 21.11 16.11 SCH5 25.9 0.77 - - 0.17 17.30 3.63 21.11 9.37 SCH6 55.3 0.35 - - 0.05 19.38 3.01 22.44 12.41 SCH7 23.0 0.79 - - 0.09 26.17 8.21 34.47 20.86 SCH8 39.0 0.12 - - 1.30 11.17 64.19 76.66 78.53 SC1 262.6 0.11 - - 0.60 20.47 8.55 29.62 9.29 SC2 49.9 0.19 - - 1.30 18.30 6.92 26.53 8.82


## 8.2.4 Polycyclic Aromatic Hydrocarbons The total PAH contents determined for the Calais port samples are shown in Table 69 . The highest amount was measured at point Cal 3. At this point the PAH content was about double the content observed at the other points. The high content might originate from the high amount of planktic organisms observed at that point. PAHs mig ht adsorb onto the surface of these organisms and thus remain for a longer time in the water column. Also the PAHs might have been taken up actively from the water resulting in an enrichment of PAHs in the organisms. The contents observed at the remaining points are about as high as those determined for the first sampling. In all samples phenanthrene was the dominating compound. High contents were also determined for pyrene and fluoranthene. The PAH contents determined for the samples taken in Dover are sho wn in Table 70 . In all samples phenanthrene was the dominating compound too. In front of the “Pride of Kent”, phenanthrene was

### 8 Results and Discussion of environmental samplings

53 reduced and anthracene, pyrene and fluoranthene were slightly increased. At Point 5 the particulate PAH fraction was higher than at the other points. This is also underlined by the high seston contents determined for that point, originating from the sandy beach. Looking at the total PAH amounts, the lowest contents were found at point 9 (front of „Pride of K ent“) and the highest at point 6 (Prince of Wales Pier). Close to this point is a catamaran berth. These ships blow their flue gas directly into the screw water. Additionally at this point there are only low current speeds and hence a reduced water exchang e. The particles might remain for a longer time close to the surface and are therefore higher contaminated with PAHs. The results of the PAH
- extraction from the Ecosilencer samples which were taken in the Channel during normal operation mode of the „Pride of Kent“ are shown in Table 70 and Table 72 . Taking the inlet and the outlet into closer view it can be seen that the PAH content is about 10 times higher in the outlet water than in the inlet water. The P AH composition inside the system is about the same at all points, with phenanthrene dominating and high amounts of chrysene and pyrene also. The highest contents were found in the tube going to the settling tank and at the bottom of the settling tank. This is not surprising, as contaminated particles are enriched in the cyclones and transferred to the settling tank. The samples taken before and after the US filter, which also should remove particles and oil from the water, show that the filter system worked . The total PAH content was reduced from 15151 ng L - 1 

### to 12502 ng L - 1 

### . Within this reduction not only the particulate PAHs are included but also the dissolved ones. The highest PAH contents were determined for the sample taken from the bottom of the settli ng tank.
Origin of PAHs Tables 34 to 37 and Fig. 28 show the calculated indices, which could be used to determine the origin of the PAHs. A description of the basics of these indices is given in 5.4.3

. Nearly all results, even those that are not significant, show a petrogenic origin. The exceptions are for Flu/Pyr for all samples taken in February without sample Cal 4, and for the second sampling for all samples with exception of Cal 3. For Phe/Anth the exceptions were in February point 8 and in March point 9, and for Chr/BaA the sample taken in February at point Cal 3 and in February at point 7. Table 34 : Indices for the determination of the origin of the PAHs (samples 11.02.04) Feb Cal 1 Feb

Cal 2 Feb

Cal 3 Feb

Cal 4 Feb

7 Feb 8 Feb 9 Feb SCH1 Feb SCH2 

### PHEN/ANTH 11.6 10.8 11.9 13.4 11.4 3.3 11.7 12.4 14.4 FLUA/PYR 1.2 1.5 1.7 0.5 1.4 1.3 1.1 1.1 3.8 CHRY/BaA 1.8 1.9 0.5 2.9 0.7 1.7 1.9 1.3 4.6 Table 35 : Indices for the determination of the origin of the PAHs (harbour samples 24.03.04) March Cal 1 March Cal 2 March

Cal 3 March Cal 4 March

5 March 6 March 7 March

8 March

9 

### PHEN/ANTH 15.8 15.1 10.0 14.4 15.1 20.2 14.6 15.7 3.5 FLUA/PYR 0.5 0.8 1.5 0. 8 0.4 0.5 0.8 0.6 1.1 CHRY/BaA 3.1 2.9 1.2 2.8 2.5 1.2 1.8 3.3 2.9

### 8 Results and Discussion of environmental samplings

54 For a better visualisation, the Phe/Anth and Flu/Pyr quotients are plotted in Fig. 28 and in a more detailed version for the samples taken on board of the „Pride of Kent“ in Fig. 29 . In these figures the indices for coal tar and shale oil are also shown. These data underline what the indices alone already showed. Most of the samples are to bed found in the border region between petrogenic a nd pyrolytic origins. Only the Ecosilencer samples (without the samples from the inlet) are clearly of petrogenic origin. These results are partially surprising. On the one hand no clear results were expected for the harbour samples, because the samples we re taken in harbours with high ship traffic, which would explain the petrogenic origin. Additionally there are cities and car routes nearby, therefore also PAHs with a pyrolytic origin, resulting in an inhomogeneous mixture of PAHs from different origins, creating no clearly defined indices. On the other hand it is surprising, because the samples taken inside the seawater scrubber, should clearly indicate pyrolytic origin. The reason that this is not the case might be the incomplete combustion of the fuel a nd therefore the high amounts of “petrogenic” PAHs. Table 36 : Indices for the determination of the origin of the PAHs (harbour Ecosilencer samples 24.03.04) March SD1 March

SD2 March

SC1 March

SC2 

### PHEN/ANTH 16.0 34.5 14.1 37.7 F LUA/PYR 0.4 0.6 0.9 0.4 CHRY/BaA 3.7 3.5 2.0 2.7 Table 37 : Indices for the determination of the origin of the PAHs (Channel of Dover Ecosilencer samples

24.03.04) March

SCH1 March

SCH2 March

SCH3 March

SCH4 March

SCH5 March

SCH6 March

SCH7 March

SCH8 

### PHEN/ANTH 14.6 30.1 57.9 42.9 42.1 50.9 54.2 41.7 FLUA/PYR 0.8 0.5 0.5 0.3 0.5 0.4 0.5 0.4 CHRY/BaA 2.2 4.1 2.8 2.6 3.3 3.1 2.7 2.7

0 10 20 30 40 50 60 70

0,0 0,5 1,0 1,5 2,0 2,5 3,0 3,5 4,0 Flt/PyrPhe/An Calais 110204 Calais 240304 Dover 110204 Dover 240304 on Board 110204 on board Dover 240304 on board Calais 240304 on board Channel 240304

Pyrolytic Petrogenic coal tar

shale oil



### Fig. 28 : Plot of isomeric phenanthrene/anthracene ratios against fluoran thene/pyrene ratios for all samples

taken in February and March

### 8 Results and Discussion of environmental samplings

55 0 10 20 30 40 50 60 70

0,0 0,5 1,0 1,5 2,0 2,5 3,0 3,5 4,0 Flt/PyrPhe/An Inlet Outlet

Pyrolytic Petrogenic

coal tar

shale oil Top of Settling Tank from Ecosilencer Outlet US Filter

Inlet

US Filter Water going to Settling Tank

Outlet Channel 110204 (Ecosilencer not running) Bottom of Settling Tank



### Fig. 29 : Plot of isomeric phenanthrene/anthracene ratios against fluoranthene/pyrene ratios for the seawater

scrubber samples taken in February and March. 

### To determi ne whether all PAHs in the samples originate from one source, a linear regression analysis of all substances with each other was performed. If a regression coefficient of 1,000 is observed, all points are lying on one line. That means, that in all samples the same relationship of the observed PAH in relation to the remaining PAHs is present. If all regressions show an R2 of 1 all samples have the same composition and this would indicate that they all originate from one source. The advantage of this method i s that the content has no influence on this calculation.

Table 38 : Regression chart for the analysis of the sampling points (Sampling March). Colours are added for a

better visualisation. Yellow highly correlated, orange and red mo derate or low correlation, dark red no significant. correlation. Cal1 Cal2 Cal3 Cal4 5 6 7 8 9 SD1 SD2 SCH1 SCH2 SCH3 SCH4 SCH5 SCH6 SCH7 SCH8 SC1 SC2 Cal1 1 0.989 0.928 0.986 0.939 0.969 0.984 0.996 0.734 0.999 0.982 0.966 0.985 0.991 0.927 0.98 0.982 0.977 0.954 0.973 0.982 Cal1 Cal2 1 0.953 0.98 0.894 0.953 0.993 0.978 0.732 0.331 0.901 0.985 0.968 0.978 0.876 0.963 0.959 0.949 0.91 0.992 0.954 Cal2 Cal3 1 0.953 0.864 0.916 0.947 0.925 0.829 0.342 0.791 0.929 0.892 0.906 0.808 0.894 0.885 0.885 0.861 0.949 0.883 Cal3 Cal4 1 0.943 0.974 0.978 0.989 0.795 0.411 0.833 0.956 0.961 0.967 0.908 0.955 0.957 0.959 0.947 0.966 0.963 Cal4 5 1 0.955 0.883 0.96 0.785 0.604 0.697 0.837 0.941 0.939 0.977 0.94 0.953 0.969 0.991 0.856 0.969 5 6 1 0.958 0.971 0.75 0.406 0.82 0.933 0.943 0.962 0.914 0.943 0.949 0.956 0.948 0.943 0.96 6 7 1 0.971 0.715 0.292 0.916 0.994 0.949 0.965 0.852 0.943 0.94 0.931 0.896 0.996 0.938 7 8 1 0.755 0.447 0.843 0.946 0.987 0.988 0.946 0.982 0.985 0.985 0.972 0.955 0.988 8 9 1 0.541 0.436 0.683 0.693 0.69 0.702 0.687 0.692 0.714 0.741 0.7 0.712 9 SD1 1 0.119 0.238 0.456 0.418 0.634 0.46 0.478 0.513 0.587 0.26 0.5 SD1 SD2 1 0.933 0.854 0.874 0.701 0.849 0.838 0.809 0.738 0.927 0.818 SD2 SCH1 1 0.923 0.943 0.806 0.915 0.911 0.897 0.852 0.996 0.906 SCH1 SCH2 1 0.995 0.956 0.998 0.998 0.993 0.967 0.936 0.993 SCH2 SCH3 1 0.945 0.996 0.995 0.99 0.961 0.954 0.992 SCH3 SCH4 1 0.957 0.969 0.979 0.99 0.824 0.978 SCH4 SCH5 1 0.998 0.994 0.967 0.931 0.993 SCH5 SCH6 1 0.998 0.977 0.925 0.998 SCH6 SCH7 1 0.988 0.913 0.999 SCH7 SCH8 1 0.87 0.986 SCH8 SC1 1 0.919 SC1 SC2 1 SC2 

### The results for the regressions are shown in Table 38 and Table 39 . The regressions of the PAHs among each other show a high correlation. The only two samples that show a different composition

### 8 Results and Discussion of environmental samplings

56 are the samples taken from the inlet inside the harbour of Dover and that one taken in Dover at the front of the „Pride of Kent“.

Table 39 : Re gression of compound contents determined for the Samples taken on 24.03.04. Colours are added

for a better visualisation. Yellow
- highly correlated, red
- moderate or low correlation, dark red
- no significant. correlation.ATHYATHEFLREPHENANTHFLUAPYRBaACHRYBbkFBaPDahABghiPINDE 

### ATHY 1 0.945 0.948 0.936 0.942 0.913 0.893 0.891 0.909 0.873 0.927 0.878 0.837 0.808 ATHE 1 0.988 0.988 0.955 0.953 0.956 0.959 0.971 0.911 0.989 0.933 0.881 0.836 FLRE 1 0.987 0.955 0.937 0.92 0.923 0.95 0.883 0.982 0.9 0.846 0.801 PHEN 1 0.975 0.966 0.952 0.949 0.967 0.925 0.984 0.937 0.897 0.857 ANTH 1 0.964 0.953 0.946 0.964 0.943 0.962 0.947 0.916 0.889 FLUA 1 0.972 0.955 0.961 0.985 0.951 0.97 0.971 0.951 PYR 1 0.995 0.989 0.976 0.964 0.994 0.964 0.936 BaA 1 0.993 0.955 0.974 0.988 0.939 0.905 CHRY 1 0.951 0.988 0.981 0.93 0.894 BbkF 1 0.918 0.984 0.997 0.986 BaP 1 0.95 0.888 0.884 DahA 1 0.977 0.955 BghiP 1 0.955 INDE 1


### Additionally to the regress ion analysis a principal component analysis was performed. The results are shown in Fig. 30 . The feature vector is shown in Table 40 . Eigenvector 1 is responsible for 70.6 % and eigenvector 2 is responsib le for 19.6 % which sums up to 90.2 % of the total variance. According to Fig. 30 the samples can be divided into three groups. One is made up by one sample taken at point Cal 3 and is characterized by a high positive value for ei genvector 1 and a negative value for eigenvector 2. At Cal 3 high contents of low molecular weight PAHs were observed. This is shown by the negative value for eigenvector 2. Eigenvector 1 mainly corresponds to the overall content and is positive for high a mounts and negative for low contents. The second group shows negative values for eigenvector 1 and values close to zero for eigenvector 2.This group includes the samples taken in Calais (also from the seawater scrubber inlet) and the samples taken in front of the “Pride of Kent”. These samples are characterized by low contents of phenanthrene and high molecular weight PAH contents. The third group contains the remaining samples taken in Dover. These samples show high contents of those high molecular weight PAHs that are positive in the feature vector.

### 8 Results and Discussion of environmental samplings

57 Fig. 30 : Results of the PCA of the harbour samples Table 40 : Feature vector for the PCA of the harbour samples 

### 70.6 % (14.0) 19.6 %

(14.0) acenaphthylene 0.28 - 0.25 acenaphthene 0.23 - 0.36 fluorene 0.27 - 0.31 phenanthrene 0.26 0.06 anthracene 0.27 - 0.29 fluoranthene 0.30 - 0.14 pyrene 0.20 0.46 benz[ a ]anthracene 0.30 0.22 chrysene 0.15 0.41 benzo[ b ]fluoranthene + benzo[ k ]fluoranthe ne 0.30 0.08 benzo[ a ]pyrene 0.23 0.37 dibenz[ a,h ]anthracene 0.30 - 0.07 benzo[ ghi

]perylene 0.30 0.16 indeno(1,2,3, c,d

)pyrene 0.31 - 0.05

### 8 Results and Discussion of environmental samplings

58 

## 8.3 3 rd 

## sampling (July) 8.3.1 pH, salinity and temperature During this sampling additional samples to those taken on board of the “Pride of Kent” and from the harbour walls were taken. The high and low water dates and the sampling times are given in Table 8 and Table 9 . The pH, salinity and temperature data for this sa mpling are shown in Table 41 . The air temperatures were higher during the sampling on the boat than during the sampling from the quay walls. The water temperature was highest at Point C5 and lowest at point Cal 3 “Quai de la Loire” . The salinity was lower in those samples taken close to the shore than in those taken inside the harbour and lowest at point Cal 1 and Cal 3. Both points are enclosed by harbour walls and water exchange is only possible from one side. Therefore the water has a more brackish character. This is mainly due to the higher buoyancy of water with lower salinity and higher temperatures compared to the cooler water in deeper layers. Because of high temperatures and less wind this stratification is enforced in summe r and often lasts until fall. From point C5 to C700 a slight increase in pH was observed. As the salinity also increased this might be a salinity effect. The temperature at point C5 was about 1 °C higher than at point C50. This might be an effect of the co oling water which was approximately 3 °C higher than the inlet water. The temperature, salinity and pH data observed in the harbour of Dover are shown in Table 42 . The air temperature was constant during the sampling as well as the water temperature and the salinity. The pH varied between 8.30 at point D0 and maximal 8.38 at point D700. Table 41 : Temperature, salinity and pH data measured at the different sampling points in Calais harbour



### point Temp [°C] ai r Temp [°C] water Sal [PSU] pH Cal 1 15.0 17.0 29 7.69 Cal 2 15.2 17.1 31 8.07 Cal 3 15.8 16.5 29 8.28 Cal 4 17.3 16.9 32 8.22 C5 18.0 18.2 34 8.28 C50 18.0 17.1 34 8.29 C350 18.0 17.2 34 8.31 C700 18.0 17.5 35 8.37

Table 42 : Temperature, salinity and pH data measured at the different sampling points in Dover harbour



### point Temp [°C] (air) Temp [°C] water Sal [PSU] pH D0 16.4 15.9 34 8.30 D5 16.4 15.9 34 8.35 D50 16.4 15.9 34 8.35 D350 16.4 15.9 34 8.35 D700 16.4 15.9 34 8.38 Dov 1 16.4 15.9 34 8.35 Dov 2 16.4 15.9 34 8.35 Dov 3 16.4 15.9 34 8.35 Dov 4 16.4 15.9 34 8.37 The water temperature, the salinity and the pH values for the samples taken inside the „Pride of Kent“ are shown in Table 43 . Comparing the inlet and outlet samples in all cases the effluent temperature

### 8 Results and Discussion of environmental samplings

59 was about 3 °C higher than that of the inlet water and the pH was lower by about 1.5 pH units. The salinity was nearly constant with 35 PSU at all points. Inside the seawater scrubber the lowest pH was found at point SCH6 behind the Ecosilencer. At the US filter inlet and outlet the pH was already 0.14 pH units higher and in the outlet after dilution with the cooling water the pH was nearly neutral.

Table 43 : Seawater scrubber temperatures, salinities and pH data 

### point Temp [°C] water Sal [PSU] pH SD1 17.8 35.0 8.38 SD2 20.7 34.0 6.87 SCH1 17.4 35.0 8.44 SCH2 20.2 35.0 6.99 SCH3 36.7 34.5 3.14 SCH5 36.0 35.0 3.13 SCH6 37.0 35.0 3.09 SC1 18.2 35 .0 8.16 SC2 20.9 35.0 6.82


## 8.3.2 Nutrients
Table 44 

### shows the chlorophyll, seston and nutrient data determined for the samples taken in July. In Dover only at point D5 the chlorophyll content was high enough to be determined. In Cala is the contents varied between 11.7 μg L - 1 

### and 33.1 μg L - 1 

### . The highest content was observed at the berth in front of the “Pride of Kent”. The seawater scrubber inlet and outlet samples taken in Calais are about equally concentrated as those taken from the transect sampling points. The chlorophyll contents determined for the remaining seawater scrubber samples are all within the same order of magnitude. Nearly all seston contents laid between 50 and 65 mg L - 1 

### . Only at point C5 a higher seston content of 86. 7 μg L - 1 

### was measured. As at this point the chlorophyll content was high too the seston content most probably originated from a high plankton abundance. Inside the seawater scrubber system the highest seston content was measured in the outlet of the US fil ter. Comparing the inlet and outlet samples only in Dover an increased seston content was observed in the outlet. The determined RDP, DOP and TDP concentrations show no significant trend and varied between 0.33 - 5.07 μmol L - 1 

### (RDP) 0.11
- 2.41 μmol L - 1 

### ( DOP) and 1.12
- 2.96 μmol L - 1 

### . The highest RDP value was measured at point Cal 3. At this point also the nitrate, nitrite, ammonium and silicate concentrations were high. As no significantly higher seston or chlorophyll contents were determined for that poi nt it can be stated that at this point an algal bloom started. Comparing the determined concentrations of both harbours it can be seen that in Calais the DIN and silicate concentrations were generally higher than those in Dover. Taking the seawater scrubb er system samples into closer view, it can be seen that the highest nitrate concentration was observed behind the Ecosilencer. According to the high ammonia concentration determined for the US
- filter sample the highest DIN concentration was observed at poi nt SCH5. All

### 8 Results and Discussion of environmental samplings

60 outlet samples showed a higher DIN concentration than the inlet sample. This is mainly due to an increase in NO 2 - 

### and NO 3 -



### .

Table 44 : Chlorophyll, seston and nutrient concentrations determined for the samples taken in July 2004 samp. point TCHL Seston RDP DOP TDP NO 2 - NO 3 - NH 4 + DIN Si(OH) 4

[ μg L - 1 ] [ mg L - 1 ] [ μmol L - 1 ] [ μmol L - 1 ] [ μmol L - 1 ] [ μmol L - 1 ] [ μmol L - 1 ] [ μmol L - 1 ] [ μmol L - 1 ] [ μmol L - 1 ] Cal1 26.7 47.9 4.60 - - 1.01 6.47 53.20 60.68 26.03 Cal2 23.5 59.3 3.13 - - 1.34 6.05 32.88 40.27 16.13 Cal3 19.3 49.4 5.07 - - 1.61 6.50 70.72 78.83 60.59 Cal4 11.7 54.8 1.37 1.12 2.49 1.12 5.29 19.29 25.70 8.84 C5 33.1 86.7 0.93 1.56 2.49 0.78 3.65 15.63 20.07 7.48 C50 26.1 63.4 0.57 1.65 2.22 0.83 3.85 16.13 20.81 7.89 C350 19.5 64.7 0.77 0.65 1.42 0.82 3.53 16.47 20.82 7.97 C700 24.3 55.8 1.12 1.06 2.18 0.80 3.48 16.42 20.70 7.85 D5 6.3 42.6 0.33 0.93 1.26 0.12 2.42 3.73 6.27 2.34 D50
- 57.2 0.33 2.43 2.76 0.16 2.47 3.73 6.36 5.84 D350
- 46.9 0.35 0.80 1.16 0.05 1. 92 4.10 6.08 2.29 D700
- 54.9 0.35 0.78 1.13 0.16 2.36 3.42 5.94 1.38 Dov2
- 55.1 0.33 0.73 1.06 0.12 2.38 4.63 7.13 3.62 Dov4
- 57.8 1.98 0.11 2.09 0.05 2.34 3.42 5.81 9.12 SD1 7.7 74.3 3.04 - - 0.15 3.02 3.64 6.81 4.46 SD2 3.7 115.5 1.01 1.28 2.29 1 .39 7.70 3.54 12.63 2.45 SCH1 2.1 51.4 1.83 0.35 2.18 0.04 1.33 2.88 4.25 3.82 SCH2 1.8 51.6 1.37 1.60 2.96 0.63 4.37 0.75 5.75 1.18 SCH3 2.5 145.9 1.28 1.10 2.38 0.03 17.25 5.55 22.83 9.48 SCH5 0.7 504.6 1.89 0.62 2.51 0.34 16.60 14.85 31.79 17.05 SC H6 1.7 73.2 0.42 0.70 1.12 0.33 16.83 8.60 25.75 5.34 SC1 14.7 59.8 0.35 2.41 2.76 0.42 2.79 7.20 10.42 3.60 SC2 12.4 56.7 0.33 1.82 2.15 2.99 4.05 7.17 14.21 5.19

### 8 Results and Discussion of environmental samplings

61 

## 8.3.3 Polycyclic aromatic hydrocarbons The PAH contents determined for the samples taken in Calais harbour on July 13 th 

### are shown in Table 70 . Additionally the sum of the particulate and dissolved fraction is shown in Table 69 . The highest total amount was observed at Point Cal 1 (Quai en eau pro fonde), the lowest was determined for the sample taken at the harbour entrance. Observed total amounts were between 46 ng L - 1 

### and 69 ng L

- 1 

### and show only little variation. In all samples phenanthrene, fluoranthene and pyrene were the dominating compounds. High molecular weight PAHs were at almost all locations below the limit of detection. The PAH contents determined for the samples taken in Dover are also shown in Table 70 . The lowest contents were determined for the samples taken at Point D 5 and D50 and the highest contents were detected in the samples taken at point D 350 and point Dov 4. With exception of point D 350 almost no PAHs bound to particles were found and therefore no high molecular weight PAHs were present. The domin ating component in all cases was phenanthrene. At some locations fluoranthene, pyrene and chrysene also were found . The PAH contents determined for the samples taken from the seawater scrubber system are shown in Table 72 . Compar ing the inlet and outlet samples, the inlet samples always show very low contents. These were equally concentrated in Calais and the Channel and had lower contents in Dover. However the outlet samples show about 40 to 80 times higher total PAH contents tha n the inlet samples, but nevertheless 10 times lower than inside the system before the dilution with the cooling water. The total PAH amount behind the Ecosilencer and behind the US filter are nearly the same, whereas the sample behind the cyclone shows a lower content. The major differences are due to the phenanthrene, pyrene and fluoranthene contents.
Quality of measurement: Comparison 1 st 

### and 2 nd 

### extraction Fig. 31 shows the results of the regression between the first and the s econd extraction. On the left the regression of the extracted material weight is shown. For this determination the filter which was used for the extraction of the particulate material was weighed before and after the extraction. Before the latter the filte r was dried at 100 °C. The weight thus determined is not comparable to the total suspended material, because the filter was extracted and is therefore reduced in organic material, but it can be used to compare the amounts of extracted material between the first and the second extraction. On the right of Fig. 31 the regression of every single PAH compound of every single sample determined during the first extraction was plotted against those from the second extraction. In both regre ssions the slope and the R2 should be, in the best case, 1. This would show that for both cases the amount of extracted material was the same and that in both extractions the same PAH contents were measured. Due to the accuracy of the method (chapter 4.2 ) the R2 and the slope might vary. As can be seen the difference is smaller than 4 % and therefore within the statistical range.

### 8 Results and Discussion of environmental samplings

62 y = 0,9847x R 2 = 0,9785 0,000 0,005 0,010 0,015 0,020 0,025 0,030 0,035 0,040

0,000 0,005 0,010 0,015 0,020 0,025 0,030 0,035 0,040 1st extraction2ndextraction

y = 1,0397x R 2 = 0,9632 0 1000 2000 3000 4000 5000 6000 7000 8000 9000

0 1000 2000 3000 4000 5000 6000 7000 8000 9000 1st extraction2ndextraction



### Fig. 31 : Regression between 1 st 

### and 2 nd 

### extraction. Left: Regression of the amount of extracted particulate

material [g]. Right: Regression of all PAHs [ng/L] (sum particulate, dissolved).


### Origin of PAHs In Fig. 32 the isomeric ratios of phenantrene/anthracene and fluoranthene/pyrene of the harbour s amples and the seawater scrubber samples are shown. The Calais harbour samples show a behaviour similar to the harbour samples taken in February and March and are situated between a petrogenic and a pyrolytic origin. In contrast the samples taken in Dover seem to originate from a petrogenic pollution source. Thehe Ecosilencer samples also show a comparable pattern. The PAHs from the sample behind the Ecosilencer and from those before and behind the US filter have high phenanthrene to anthracene ratios and low fluoranthene to pyrene ratios and are therefore most likely of petrogenic origin. The PAHs in the outlet samples seem to be of petrogenic origin but not as markedly as the undiluted samples. The inlet samples are comparable to the harbour samples.

0 10 20 30 40 50 60 70

0,0 0,2 0,4 0,6 0,8 1,0 1,2 1,4 1,6 flu/pyrphe/ant Calais Dover petrogenic

pyrolytic coal tar shale oil

0 10 20 30 40 50 60 70

0,0 0,2 0,4 0,6 0,8 1,0 1,2 1,4 1,6 flu/pyrphe/ant petrogenic

pyrolytic coal tar shale oil P26 outlet ES P23 outlet US P25 inlet US P12 SWS outlet Dover P22 SWS outlet Channel P32 SWS outlet Calais
P31 SWS inlet Calais P21 SWS inlet Channel P11 SWS inlet Dover


### Fig. 32 : Plot of isomeric phenanthrene/anthracene ratios against fluoranthene/pyrene ratios for all harbour

samples (left) and seawater scrubber samples (right). 

### The ratios of benz[ a ]anthracene and chrysene, which can also be used to determine the origin of the PAHs in the samples are shown in Table 45 . It can be seen that in most cases the contents of the two compounds were too low and therefore this index could not be used to determine the origin. Only th e

### 8 Results and Discussion of environmental samplings

63 contents of the outlet and the seawater scrubber samples were high enough. The quotients of these samples are greater than one and therefore indicate pyrolytic origin.

Table 45 : Quotient of benz[ a ]anthracene and chrysene. 

### sampl. point Cal 1 Cal 2 Cal 3 Cal 4 C5 C50 C350 C700 BaA/CHRY 1.00 0.00 - - 1.00 - - - sampl. point Dov 2 Dov 3 Dov 4 D5 D50 D350 D700 BaA/CHRY
- - - - - 0.20 - sampl. point SD1 SD2 SCH1 SCH2 SC1 SC2 SCH3 SCH5 SCH6 BaA/CHRY 0.0 0 1.89 0.00 1.47 0.00 1.86 2.63 2.46 2.26

Table 46 : Regression of PAH components, yellow shows high correlationATHYATHEFLREPHENANTHFLUAPYRBaACHRYBbkFBaPDahABghiPINDE 

### ATHY 1 0.951 0.965 0.932 0.925 0.939 0.922 0.927 0.901 0.939 0.942 0.936 0.94 0.935 ATHE 1 0.979 0.98 0.957 0.982 0.967 0.972 0.943 0.984 0.992 0.978 0.986 0.983 FLRE 1 0.993 0.991 0.994 0.984 0.987 0.976 0.987 0.994 0.981 0.988 0.99 PHEN 1 0.99 0.999 0.996 0.998 0.99 0.991 0.993 0.979 0.988 0.976 ANTH 1 0.991 0.986 0.989 0.989 0.979 0.98 0.973 0.977 0.971 FLUA 1 0.994 0.998 0.988 0.993 0.994 0.982 0.99 0.98 PYR 1 0.995 0.994 0.977 0.981 0.959 0.972 0.959 BaA 1 0.992 0.991 0.989 0.979 0.987 0.97 CHRY 1 0.969 0.947 0.951 0.962 0.943 BbkF 1 0.996 0.996 0.999 0.986 BaP 1 0.99 0.997 0.993 DahA 1 0.998 0.988 BghiP 1 0.991 INDE 1 

### To examine whether the PAHs inside the harbour originate from one source the regression coefficients for the linear regression of the compounds were calculated. These calculations might show, whether the composition of the 16 EPA PAHs are comparable among each other. The results are shown in Table 46 . It can be seen that all compounds are highl y correlated. As many PAHs had values lower than the detection limit and some like phenanthrene appeared in high contents, the results might only “pretend” a high correlation. Therefore the R2 was calculated for the linear regression of each station with t he remaining stations. The results are shown in Table 47 . It can be seen that sample Cal 3 does not correlate with any other sample, and that the samples taken from the seawater scrubber are only moderately correlated with the harb our samples. However the harbour samples and the inlet samples with exception of the Channel inlet sample also show a good correlation aa do the SWS samples among each other. In summary it can be said that the harbour samples and the seawater scrubber inle t samples show a similar PAH composition. The seawater

### 8 Results and Discussion of environmental samplings

64 scrubber samples make up another group which is not even comparable to the samples taken directly in front of the outlet of the “Pride of Kent”. The PAH composition of point Cal 3 is totally different from the remaining samples.

Table 47 : Regression of sampling points. Colours are added for a better visualisation. Yellow
- highly correlated,

orange and red moderate or low correlation, dark red
- no significant correlation.
Cal 1 Cal 2 Cal 3 Cal 4 C05 C50 C350 C700 D05 D50 D350 D700 Dov2 Dov4 SD1 SD2 SCH1 SCH2 SCH3 SCH5 SCH6 SC1 SC2 Cal 1 1 0.892 0.638 0.832 0.918 0.887 0.864 0.743 0.61 0.675 0.858 0.83 0.868 0.883 0.836 0.662 0.743 0.598 0.624 0.646 0.643 0.821 0.614 Cal 1 Cal 2 1 0.506 0.877 0.916 0.912 0.951 0.877 0.77 0.788 0.895 0.889 0.891 0.953 0.875 0.713 0.807 0.657 0.663 0.685 0.682 0.897 0.641 Cal 2 Cal 3 1 0.492 0.505 0.429 0.431 0.255 0.146 0.158 0.402 0.335 0.36 0.388 0.38 0.146 0.262 0.104 0.126 0.139 0.144 0.339 0.152 Cal 3 Cal 4 1 0.759 0.791 0.85 0.789 0.733 0.746 0.713 0.845 0.909 0.864 0.723 0.644 0.804 0.584 0.604 0.621 0.613 0.752 0.557 Cal 4 C05 1 0.89 0.881 0.789 0.672 0.722 0.892 0.824 0.836 0.911 0.836 0.707 0.708 0.646 0.671 0.689 0.687 0.844 0.654 C05 C50 1 0.952 0.932 0.829 0.864 0.858 0.964 0.906 0.957 0.948 0.75 0.825 0.69 0.702 0.728 0.716 0.924 0.659 C50 C350 1 0.95 0.836 0.872 0.821 0.959 0.921 0.957 0.891 0.738 0.843 0.682 0.692 0.715 0.702 0.899 0.644 C350 C700 1 0.934 0.946 0.779 0.975 0.91 0.93 0.888 0.793 0.866 0.752 0.751 0.772 0.752 0.893 0.677 C700 D05 1 0.976 0.702 0.908 0.832 0.856 0.8 0.821 0.843 0.775 0.778 0.796 0.779 0.852 0.693 D05 D50 1 0.738 0.94 0.88 0.892 0.834 0.851 0.883 0.811 0.807 0.825 0.808 0.882 0.723 D50 D350 1 0.812 0.807 0.863 0.913 0.799 0.81 0.764 0.753 0.773 0.776 0.931 0.764 D350 D700 1 0.949 0.947 0.926 0.802 0.912 0.754 0.757 0.78 0.762 0.924 0.694 D700 Dov 2 1 0.943 0.847 0.833 0.879 0.789 0.804 0.819 0.807 0.861 0.749 Dov 2 Dov 4 1 0.881 0.778 0.822 0.714 0.731 0.752 0.743 0.903 0.676 Dov 4 SD1 1 0.781 0.897 0.751 0.726 0.752 0.746 0.977 0.715 SD1 SD2 1 0.82 0.988 0.993 0.996 0.996 0.836 0.972 SD2 SCH1 1 0.81 0.768 0.7889 0.78 0.924 0.738 SCH1 SCH2 1 0.984 0.985 0.985 0.805 0.973 SCH2 SCH3 1 0.999 0.997 0.78 0.978 SCH3 SCH5 1 0.998 0.805 0.976 SCH5 SCH6 1 0.803 0.986 SCH6 SC1 1 0.769 SC1 SC2 1 SC2


### Principal component analysis In Fig. 33 and in Table 48 the results of the PCA of all harbour samples and the SWS inlet samples taken in July are given. In this case eigenvector 1 accounts for 33.6 % and ei genvector 2 for19.7 % of the total variance. As both vectors only make up 52.3 % of the total variance only a part of the total variability within these samples can be explained. According to the PCA plot t he samples can be divided into three groups. The f irst one is made up by C 50, C700, D 5, D 50, D 700, Dov 2, SD1 and SC1. These samples are all in the third quadrant meaning they are negative on both axes. Looking at the feature vector this indicates low overall concentrations and especially low anthrace ne, pyrene and fluoranthene concentrations. The second group is made up by the samples Cal 2, Cal 3, Cal 4, C 350 and Dov 4. These are in the second quadrant meaning they are positively related to eigenvector 2 and negatively related to eigenvector. As eig envector 1 is mainly positive, this indicates, that the samples of this group have higher contents the more they are situated on the positive side. The third group is made up by Cal 1, C 5 and D 350. These samples also showed the highest overall concentrat ion. The pattern that is drawn in Fig. 33 is nearly the same, which can be observed in the regression chart ( Table 47 ). Cal 3, Cal 1, C5 and D350 are separated and have only low correlations with the remain ing points, whereas the remaining points are higher correlated.

### 8 Results and Discussion of environmental samplings

6 5 Fig. 33 : Results of the PCA of the harbour samples Table 48 : Feature vector for the PCA of the harbour samples 

### 33.6 % (14.0) 19.7 %

(14. 0) acenaphthylene 0.16 0.48 acenaphthene
- 0.05 0.31 fluorene
- 0.02 0.06 phenanthrene 0.23 - 0.09 anthracene 0.15 0.50 fluoranthene 0.43 0.22 pyrene 0.41 0.27 benz[ a ]anthracene 0.38 - 0.26 chrysene 0.18 - 0.26 benzo[ b ]fluoranthene + benzo[ k ]fluoranthene 0.37 - 0.09 benzo[ a ]pyrene 0.39 - 0.11 dibenz[ a,h ]anthracene 0.27 - 0.36 benzo[ ghi

]perylene 0.16 0.48 indeno( 1,2,3,c,d

)pyrene
- 0.05 0.31

### 8 Results and Discussion of environmental samplings

66 

## 8.4 4 th 

## sampling (September) 8.4.1 pH, salinity and temperature
The date and time when the sa mples were taken during the fourth sampling are given in Table 9 . The high and low water times are shown in Table 8 . It can be seen that in Calais the samples were taken during high tide and three hours aft er high tide. In Dover the samples were taken approximately one hour after ebb tide. The pH, salinity, air and water temperatures are shown in Table 49 (Calais), Table 50 (Dover) and in Table 51 (seawater scrubber). The air temperatures during the sampling from the quay walls in Calais varied between 19.0 and 19.5 °C and the water temperature between 21.5 and 22.1 °C. During the sampling from the small boat at point C0, C5, C50, C3 50, C700 the air temperature was about 3 to 4 °C higher. The water temperature at point C5 and C50 was slightly increased (0.5 °C) whereas the remaining points had about the same water temperature as the samples taken from the harbour walls. The increase i n temperature might be an effect of the seawater scrubber effluent.

Table 49 : Temperature, salinity and pH data measured at the different sampling points in Calais harbour in

September 

### Point Temp [°C] air Temp [°C]

water Sal [PSU] pH Cal 1 19.5 22.1 34.1 7.95 Cal 2 19.5 22.1 34.0 7.97 Cal 3 19.0 21.5 31.9 7.89 Cal 4 19.1 21.9 33.7 8.04 C 0 22.3 23.3 34.3 8.08 C 5 23.5 23.1 34.6 8.08 C 50 23.0 22.8 34.7 8.09 C 350 22.2 22.8 34.7 8.09 C 700 22.2 22.9 34.6 8.10

Table 50 : Temperature, salinity and pH data measured at the different sampling points in Dover harbour in

September 

### Point Temp [°C] air Temp [°C]

water Sal [PSU] pH D 5 26.9 22.8 35.1 8.07 D 50 24.4 22.3 35.2 8.04 D 350 25.1 22.1 35 .0 8.05 D 700 23.6 22.1 35.0 8.04 Dov 1 23.3 22.2 35.0 8.07 Dov 2 22.6 22.2 35.1 8.08 Dov 3 22.6 21.9 35.1 8.08 Dov 4 25.0 22.2 35.2 8.08

### 8 Results and Discussion of environmental samplings

67 Table 31 shows that the seawater scrubber outlet water was 13 to 17 °C warmer than th e inlet water. This difference is more than 10 °C higher than those observed during the first three samples. An increased temperature was also observed at the first and second points in Dover in a distance of 5 and 50 m away from the outlet. At point D 5 t he temperature was 0.7 °C higher than at the remaining points inside the harbour, with the exception of point Dov 3 in the middle of the port, where the temperature was the lowest (21.9 °C). Inside the seawater scrubber system the highest temperatures were measured directly after the Ecosilencer, in front of and behind the US
- filter. Here the temperatures were 45.1, 45.3 and 46.2 °C, respectively. The water in the seawater scrubber outlet still had a temperature of 35.7, 37.1 and 37.6 °C. The pH inside the harbour was nearly constant for all samples with exception of the samples taken from the quay walls in Calais. Inside the seawater scrubber system the lowest pH (3.05) was determined in the pipe leading to the settling tank and also behind the US filter. T he outlet water in Dover, the Channel and Calais showed a pH of 6.2, 6.4 and 6.15, respectively. It was about 1.7 pH units lower in comparison to the inlet water. The samples taken inside the Channel had a salinity of about 37 whereas in Calais and Dover t he salinity varied between 34 and 35. At point Cal 3 a salinity of only 31.9 was observed due to the enclosed situation of that sampling point.

Table 51 : Temperature, salinity and pH data measured at the different sampling points i n the seawater scrubber

in September 

### Point Temp [°C] water Sal [PSU] pH SD1 24.0 34.4 7.99 SD2 37.6 35.7 6.20 SCH1 23.0 36.0 8.08 SCH2 37.1 36.0 6.40 SCH3 45.3 36.8 3.14 SCH4 42.5 36.6 3.05 SCH5 46.2 36.8 3.05 SCH6 45.1 36.4 3.13 SCH7 38.5 37.0 3.04 SC1 20.7 34.5 7.88 SC2 37.6 34.7 6.15

### 8 Results and Discussion of environmental samplings

68 

## 8.4.2 Nutrients The chlorophyll, seston and nutrient concentrations determined for the samples taken in September are shown in Table 52 . It can be seen that in Dover the chlorophyll concen tration was generally lower than in Calais. The highest chlorophyll content was measured at point Cal 3 (181.9 μg L - 1 

### ). At this point also the highest seston, silicate, ammonium and RDP concentrations ws determined, whereas the nitrate concentration was th e lowest observed in all samples. This shows that there was an algal bloom at this point. The nitrate concentration was reduced because it is used as an important nitrogen supply. Ammonium is the first degradation product of nitrogen
- containing organic mat erial. Hence the higher concentrations in the harbour waters of Calais indicate that somde degradation already had taken place. At the remaining points in Calais the chlorophyll concentrations varied between 5.1 and 48.4 μg L - 1 

### . The lowest value was observ ed at point Cal 1 and the highest at C350. In Dover Chlorophyll concentration between 4.2 (Dov 4) and 12.8 μg L - 1 

### (D350) were observed. The RDP, DOP, TDP, seston and silicate values were all within the same range as in Calais, whereas the nitrate concentra tions were increased and the ammonium concentrations were lower in Dover. Taking a look at the first transect samples D5 and C5 it can be seen that the nitrate concentrations are slightly increased in comparison to the other points. This could be an effect of the seawater scrubber but also of eutrophication due to the enclosed area and the ship traffic. Table 52 : Chlorophyll, seston and nutrient concentrations determined for the samples taken in September 2004 samp. point TCHL Sesto n RDP DOP TDP NO 3 - NH 4 + DIN Si(OH) 4

[ μg L - 1 ] [ mg L - 1 ] [ μmol L
1 ] [ μmol L
- 1 ] [ μmol L
1 ] [ μmol L
1 ] [ μmol L
- 1 ] [ μmol L
1 ] [ μmol L
1 ] Cal1 5.1 54.8 0.87 0.13 1.00 4.05 12.60 17.29 7.82 Cal2 16.2 56.7 0.97 0.07 1.04 3.76 14.20 18.60 8.57 Cal3 181.9 100.8 4.50 0.31 4.81 0.75 41.93 43.19 14.73 Cal4 22.9 64.0 0.65 0.31 0.96 3.52 9.28 13.36 6.92 C0 23.2 86.0 0.47 0.52 0.99 2.79 8.28 11.59 6.83 C5 35.3 76.2 0.39 0.61 0.99 3.58 9.95 14.02 6.84 C50 43.2 89.2 0.37 0.56 0.94 2.78 7.93 11.19 6.64 C350 48.4 76.5 0.37 0.19 0.56 2.52 9.02 12.02 5.04 C700 44.9 67.3 0.23 0.50 0.73 2.86 8.14 11.47 4.15 D5 7.2 59.5 0.55 0.35 0.90 2.86 0.63 3.80 6.78 D50 10.5 59.7 0.65 0.06 0.70 2.50 1.50 4.31 6.46 D350 12.8 58.8 0.23 0.24 0.47 2.58 1.44 4.31 4.94 D700 10.0 72.6 0. 19 0.13 0.32 4.33 0.34 5.06 5.00 Dov1 5.9 74.8 0.55 0.23 0.78 7.37 1.22 9.07 6.02 Dov2 9.9 61.3 0.44 0.09 0.53 5.43 1.38 7.29 5.00 Dov3 7.6 65.6 0.44 0.08 0.52 5.32 1.41 7.19 6.49 Dov4 4.2 66.0 0.21 0.03 0.24 4.27 1.78 6.35 6.02 SD1 16.5 62.1 0.23 0.0 9 0.32 3.63 1.43 5.39 6.81 SD2 9.6 69.9 0.22 0.08 0.30 7.66 2.42 10.79 6.00 SCH1 5.7 57.8 0.20 0.09 0.29 3.96 2.26 6.63 3.89 SCH2 6.1 55.0 0.20 0.03 0.23 3.77 2.08 6.27 3.15 SCH3 10.2 54.1 0.78 0.29 1.07 19.21 4.33 23.61 7.58 SCH4 9.6 70.6 1.35 0.23 1 .59 21.58 8.40 30.61 12.31 SCH5 6.7 61.1 0.83 0.10 0.93 18.27 3.67 22.01 6.95 SCH6 4.6 57.6 0.99 0.09 1.08 17.85 3.40 21.32 10.04 SCH7 7.4 99.1 1.54 0.08 1.62 21.05 4.90 26.10 12.28 SC1 49.1 61.8 0.64 0.15 0.79 3.76 8.33 12.63 8.70 SC2 32.0 64.2 0.42 0.23 0.65 5.52 7.37 13.54 7.60


### Looking at the seawater scrubber inlet and outlet samples it can be seen that the nitrate concentrations are higher in the outlet, in Calais they even doubled. On board, the highest nitrate concentrations were not observed directly behind the Ecosilencer but at point SCH4, the pipe leading

### 8 Results and Discussion of environmental samplings

69 to the settling tank, and at point SCH7, the settling tank. These points also show high TDP, silicate and seston values. As silicate is the main substance of which diatom tests are built u p it is not surprising that it is enriched by the cyclones in the seawater scrubber system. Comparing the inlet and outlet samples it can be seen that the nitrate concentration due to the formation of nitric acid in the Ecosilencer is increased. Additional ly the seston content is higher in the outlet samples. This might result from remaining soot particles originating from the scrubbing process.



## 8.4.3 Metals and Sulphate
Table 53 shows the sulphate, earth and transition metal concentrati ons determined for the samples taken in Dover and Calais directly in front of the seawater scrubber outlet and inside the seawater scrubber system. It can be seen that As, Ba, Cd, Co, Cr, Cu, Mn, Mo, Ni, Pb could not be detected. Fe was only found inside t he seawater scrubber system but not in the inlet and the outlet. The highest iron content (4513 ppb) was found at point SCH4 in the pipe leading to the settling tank. One reason is the very low pH measured at this point which increases the solubility of ir on. Another reason is that all particles collected in the seawater scrubber system, which also contain rust, are concentrated in the cyclones and pass this pipe, and a third aspect might be an overflow pipe from the funnel which flows into the settling tan k pipe shortly before point SCH4 and which might contain particles and rust from the funnel. The same reasons might be responsible for the high vanadium concentration measured at point SCH4. However K, Li and Mg have nearly constantly contents in all sampl es, whereas the strontium concentration is higher in Calais than in Dover. Table 53 : Sulphate, earth and transition metals determined for the samples taken in September (
- below

detection limit) 

### SD 1 SD2 SCH1 SCH2 SCH3 SCH4 SCH5 SCH6 SC2 SC 1 As ppb
- - - - - - - - - - Ba ppb
- - - - - - - - - - Ca ppm 393 397 383 386 404 407 404 411 411 389 Cd ppb
- - - - - - - - - - Co ppb
- - - - - - - - - - Cr ppb
- - - - - - - - - - Cu ppb
- - - - - - - - - - Fe ppb
- - - - 803 4513 687 680 - - K ppm 380 380 390 340 360 400 400 380 370 330 Li ppb 180 180 170 180 180 180 180 180 180 180 Mg ppm 1235 1230 1205 1205 1260 1265 1255 1290 1265 1220 Mn ppb
- - - - - - - - - - Mo ppb
- - - - - - - - - - Ni ppb
- - - - - - - - - - Pb ppb
- - - - - - - - - - SO4 ppm 2670 2710 2590 2600 2940 2940 2990 2980 2870 2590 Sr ppb 7680 7760 7515 7705 7915 7915 8020 8055 8035 7620 V ppb
- - - - 155 420 240 170 - - Zn ppb
- 290 - - 455 - 395 360 - - Zinc was only determined in the outlet sample in Dover and at points SCH3, SCH5 and SCH6, but not in the pipe going to the settling tank and in no other outlet sample. The source for this contamination

### 8 Results and Discussion of environmental samplings

70 might be the valves used during the sampling which might contain zinc. Otherwise if zinc would orig inate from the system itself it should also have been detected at point SCH4 and in the outlet water. As expected the sulphate concentration was increased inside the seawater scrubber due to the formation of sulphuric acid, but comparing the in and outlet sample taken in the Channel no increase was observed. Summarising the data of Table 53 it can be said that no increase in the metal or sulphate concentration was observed outside the “Pride of Kent” and that the increased Fe and V concentrations were only observed inside the pipe leading to the settling tank. As the water and the particles from the settling tank will be treated in a special way (deposition or burning), and as Fe and V are not toxic, no negative effect is to be expe cted.



## 8.4.4 Polycyclic aromatic hydrocarbons The concentrations of the determined dissolved and particle bound PAHs are shown in Table 70 and Table 72 .The total amounts of all EPA PAHs (without naphthalene) are given in Table 69 . Comparing the total amounts with the samplings in February, March and July, it can be seen that the contents in September were especially in Calais about 100 ng L - 1 

### higher than in July, but the overall concentrat ions where not as high as in March or February. All analysed concentrations were situated between 44 and 248 ng L - 1 

### with exception of the outlet samples where concentrations of 3422, 3263 and 3577 ng L - 1 

### were determined. Taking a closer view at the single compounds it can be seen that almost no acenaphthene, acenaphthylene, anthracene, benzo[ b+k ]fluoranthene, benz[ a ]pyrene, dibenz[ a,h ]anthracene, benzo[ ghi ]perylene or indeno[1,2,3,c,d]pyrene were present. In all samples phenanthrene, fluoranthene and pyren e dominated. These three compounds as well as fluorene were also the dominating compounds in the seawater scrubber effluent, where phenanthrene concentrations of 1400 ng L - 1 

### were detected. No increased contents of high molecular weight PAHs were found in t he outlet samples. Looking at the PAH concentration determined 5, 50, 350 and 700 m away from the seawater scrubber outlet no increase was observed. In contrary the transect samples taken in Calais show lower PAH concentrations than the samples taken from the quay walls. Additionally the blank sample taken before the “Pride of Kent” arrived showed a higher PAH concentration (133 ng L - 1 

### ) than the sample taken at point C 5 (109 ng L - 1 

### ). In Dover the sample taken 5 m away from the outlet had a content similar to the sample from the middle port at point Dov 2. All these observations show that the seawater scrubber effluent does not seem to increase the PAH concentration. Inside the seawater scrubber all four
- and five
- ring compounds with the exception of fluora nthene and pyrene were nearly completely found bound to the particulate fraction. Phenanthrene which partially made up about 50 % of the total amount of all measured PAHs was also found in high concentrations

### 8 Results and Discussion of environmental samplings

71 in the particulate fraction. This shows that mo st of the PAHs are bound to soot particles, and that an effective remove of these particles is able to lower these concentrations significantly.
Quality of measurement: Comparison 1 st 

### and 2 nd 

### extraction Fig. 34 shows the regressi on of the extracted and dried filters and of the determined PAHs (chapter 8.3.3 ). In both cases high correlation coefficients and slopes close to one were observed. Therefore the results of the first and the second extraction ar e very similar.

y = 1,0323x R 2 

### = 0,9702 0,000 0,005 0,010 0,015

0,000 0,005 0,010 0,015

1 st 

### extraction2ndextraction



### y = 0,9533x R 2 

### = 0,9707 0 2000 4000 6000 8000 10000

0 5000 10000

1 st 

### extraction2ndextraction



### Fig. 34 : Regression between 1 st 

### and 2 nd 

### extraction left: Regression between the amount of extracted particulate

material [g]. Right: Regression of all determined PAH concentrations [ng/l] (sum, particulate, di ssolved).


### Origin of PAHS To determine the origin of the PAHs a regression of the compound concentrations among each other and a regression of the concentrations determined at the single sampling points was performed. The results are shown in Table 55 and Table 54

. The correlation coefficients of Table 54 show high correlation coefficients for nearly all compounds. When a high correlation between for example fluoranthene and pyrene was found this meant that at all points where high concentrations of fluoranthene were measured, also high concentrations of phenanthrene were measured. If the relative relations of all compounds were the same at all points, and differences only appear in the concentration itself, high correlation coefficients would be observed for all compounds. As the anthracene concentrations were often close to or lower than the detection limit, the R2 for the correlation with this compound is low. The same reason can b e given for the low R2 observed for the correlations with dibenz[ ah ]anthracene and acenaphthylene. As this method of regression analysis is not very specific and gives no information about the similarity of single sampling points, a regression of the obser ved PAH concentrations of the sampling points was also performed.

### 8 Results and Discussion of environmental samplings

72 Table 54 : Regression of compounds. Colours are added for a better visualisation. Yellow
- highly correlated, dark

red
- no significant correlation.ATHYATHEFLREPHENANTHFLUAPYRBaACHRYBbkFBaPDahABghiPINDE 

### ATHY 1 0.787 0.819 0.851 0.619 0.876 0.874 0.851 0.891 0.93 0.759 0.921 0.941 0.934 ATHE 1 0.994 0.988 0.927 0.976 0.978 0.974 0.966 0.7 0.948 0.824 0.753 0.815 FLRE 1 0.997 0.918 0.99 0.991 0.987 0.982 0.74 0.959 0.851 0.79 0.843 PHEN 1 0.895 0.996 0.998 0.991 0.992 0.778 0.952 0.878 0.823 0.872 ANTH 1 0.872 0.873 0.9 0.855 0.487 0.952 0.608 0.548 0.601 FLUA 1 0.999 0.989 0.996 0.815 0.942 0.899 0.856 0.896 PYR 1 0.991 0.997 0.811 0.943 0.898 0.852 0.894 BaA 1 0.993 0.769 0.974 0.848 0.805 0.843 CHRY 1 0.831 0.943 0.902 0.863 0.899 BbkF 1 0.645 0.956 0.99 0.965 BaP 1 0.728 0.689 0.722 DahA 1 0.97 0.997 BghiP 1 0.981 INDE 1 Table 55 : Regression of sampling points. Colours are added for a better visualisation. Yellow highly correlated,

orange and red moderate or low correlation, dark red no significant correlation.

Cal1 Cal2 Cal3 Cal4 C0 C5 C50 C350 C700 D5 D50 D350 D700 Dov2 Dov3 Dov4 SD1 SD2 SCH1 SCH2 SCH3 SCH4 SCH5 SCH6 SC1 SC2 Cal1 1 0,926 0,837 0,835 0,914 0,957 0,893 0,942 0,935 0,791 0,918 0,675 0,628 0,982 0,801 0,715 0,929 0,785 0,769 0,743 0,761 0,731 0,752 0,771 0,811 0,768 Cal1 Cal2 1 0,745 0,824 0,878 0,940 0,839 0,934 0,859 0,782 0,840 0,575 0,502 0,893 0,753 0,599 0,827 0,754 0,683 0,701 0,733 0,738 0,727 0,731 0,727 0,740 Cal2 Cal3 1 0,852 0,889 0,815 0,936 0,758 0,781 0,877 0,896 0,865 0,843 0,830 0,881 0,931 0,886 0,893 0,931 0,882 0,882 0,837 0,868 0,898 0,917 0,884 Cal3 Cal4 1 0,968 0,817 0,958 0,757 0,778 0,977 0,795 0,866 0,769 0,802 0,975 0,822 0,896 0,947 0,908 0,919 0,941 0,930 0,945 0,936 0,950 0,943 Cal4 C0 1 0,904 0,974 0,856 0,879 0,932 0,855 0,818 0,740 0,872 0,946 0,816 0,915 0,900 0,877 0,865 0,882 0,858 0,880 0,889 0,930 0,892 C0 C5 1 0,858 0,972 0,945 0,775 0,914 0,616 0,585 0,905 0,770 0,650 0,834 0,765 0,735 0,719 0,737 0,712 0,730 0,749 0,779 0,745 C5 C50 1 0,811 0,877 0,948 0,879 0,886 0,810 0,882 0,971 0,900 0,943 0,938 0,935 0,913 0,917 0,882 0,924 0,931 0,958 0,930 C50 C350 1 0,917 0,690 0,895 0,520 0,472 0,896 0,697 0,568 0,785 0,675 0,657 0,619 0,645 0,621 0,631 0,654 0,690 0,649 C350 C700 1 0,753 0,943 0,679 0,683 0,909 0,783 0,746 0,841 0,766 0,775 0,734 0,743 0,705 0,729 0,758 0,804 0,747 C700 D5 1 0,784 0,919 0,929 0,770 0,978 0,878 0,889 0,982 0,944 0,970 0,977 0,964 0,985 0,978 0,970 0,986 D5 D50 1 0,711 0,708 0,917 0,795 0,768 0,868 0,827 0,843 0,797 0,801 0,752 0,777 0,819 0,823 0,800 D50 D350 1 0,962 0,681 0,939 0,970 0,844 0,937 0,963 0,955 0,936 0,893 0,946 0,949 0,963 0,945 D350 D700 1 0,638 0,861 0,947 0,782 0,886 0,925 0,917 0,891 0,841 0,890 0,905 0,917 0,892 D700 Dov2 1 0,786 0,733 0,949 0,782 0,768 0,745 0,755 0,721 0,747 0,770 0,793 0,765 Dov2 Dov3 1 0,903 0,901 0,966 0,953 0,953 0,953 0,923 0,968 0,963 0,983 0,965 Dov3 Dov4 1 0,861 0,904 0,953 0,919 0,897 0,847 0,901 0,919 0,937 0,908 Dov4 SD1 1 0,896 0,884 0,874 0,877 0,841 0,879 0,891 0,910 0,890 SD1 SD2 1 0,972 0,995 0,991 0,965 0,995 0,999 0,973 0,998 SD2 SCH1 1 0,974 0,963 0,913 0,959 0,978 0,979 0,966 SCH1 SCH2 1 0,990 0,962 0,994 0,998 0,969 0,996 SCH2 SCH3 1 0,988 0,990 0,992 0,966 0,992 SCH3 SCH4 1 0,971 0,964 0,928 0,970 SCH4 SCH5 1 0,995 0,970 0,999 SCH5 SCH6 1 0,976 0,998 SCH6 SC1 1 0,972 SC1 SC2 1 SC2 

### Taking Table 55 into clo ser view, it can be seen that most of the sampling points are highly correlated. Especially the correlation between the seawater scrubber samples among each other and the Calais samples among each other showed high R2 values indicating that the PAH composi tion of these samples is similar. In contrary the correlation of the samples taken from the harbour in Dover seem to be different in their composition from the samples taken in Calais. They show only moderate correlation coefficients for these regressions, but high correlation coefficients when compared with the seawater scrubber samples. The samples taken from the Calais transect are only moderately correlated with the samples taken from the seawater scrubber. Summarising can be said, that all Dover sample s show a comparable composition while the Calais samples are not comparable to the seawater scrubber samples. Therefore the composition of the Dover and Calais samples is different too.

### 8 Results and Discussion of environmental samplings

73 Additionally to the regression analysis a principal component analysi s ( Fig. 36 , Table 57 ) and an analysis of the isomeric ratios of phenanthrene to anthracene, fluoranthene to pyrene ( Fig. 35 ) and benz [ a ]anthracene to chrysene ( Table 55 ) was performed. The plot of the phen/anth ratios against the flua/pyr ratios indicates that the seawater scrubber samples seem to originate from a petrogenic source. This would underline the resu lts of the previous samplings. The same holds for the isomeric ratios of benz[ a ]anthracene and chrysene which are all smaller than one and therefore indicate a pyrolytic origin too.

0 10 20 30 40 50 60 70 80 90 100

0,0 0,5 1,0 1,5 2,0 2,5

phenanthrene / anthracenefluorathene/pyrene 

### Dover Calais SWS outlet petrogenic

pyrolytic

D 350



### Fig. 35 : Plot of isomeric phenanthrene/anthrace ne ratios against fluoranthene/pyrene ratios for all samples 

### The phenanthrene to anthracene ratios of the harbour samples are close to ten and the fluoranthene to pyrene and the benz[ a ]anthracene to chrysene ratios are close to one. This might have the sam e reasons as those mentioned in the discussion of the February, March and July samplings. The explicit petrogenic character of the sample D 350, which shows nearly the same isomeric ratios as the outlet samples cannot be explained. Perhaps a thin oil film flowing on top of the water contaminated this sample. The principal component analysis underlines and specifies the results of the regression analysis. From this the samples can be divided into three different groups. The first group is made up by only on e sample: Cal 2. This sample is characterised by relative high anthracene, fluoranthene and pyrene contents. As point Cal 2 is situated close to the place where the service boats anchor, these might originate from the lighter petroleum used for these boats

. Table 56 : The quotient of benz[ a ]anthracene to chrysene can be used as marker for the origin of a sample 

### sampl. point Cal 1 Cal 2 Cal 3 Cal 4 C0 C5 C50 C350 C700 BaA/CHRY 0,2 0,9 0,8 0,6 0,6 0,0 1,2 1,0 1,0 sampl . point Dov 2 Dov 3 Dov 4 D0 D5 D50 D350 D700 BaA/CHRY 0,7 0,8 1,0 0,6 0,7 0,4 sampl. point SD1 SD2 SCH1 SCH2 SC1 SC2 SCH3 SCH4 SCH5 SCH6 BaA/CHRY 0,6 0,6 0,6 0,5 0,5 0,5 0,5 0,5 0,6 0,5

### 8 Results and Discussion of environmental samplings

74 Fig. 36 : Results of t he PCA of the harbour samples Table 57 : Feature vector for the PCA of the harbour samples 

### 42.2 % (14.0) 17.9 %

(14.0) acenaphthylene 0.14 0.20 acenaphthene 0.28 0.19 fluorene 0.13 0.18 phenanthrene 0.30 - 0.08 anthra cene 0.15 - 0.34 fluoranthene 0.32 - 0.41 pyrene 0.39 - 0.22 benz[ a ]anthracene 0.24 0.51 chrysene 0.20 0.52 benzo[ b ]fluoranthene + benzo[ k ]fluoranthene 0.40 0.02 benzo[ a ]pyrene 0.36 - 0.12 dibenz[ a,h ]anthracene benzo[ ghi

]perylene 0.36 - 0.03 indeno( 1,2,3,c,d

)pyrene 0.14 0.20
The second group is made up by the samples D 50, Dov 2, C 350, C 5, Cal 1, C 700 and SD1. For these samples both eigenvectors are negative. The second eigenvector which is plotted on the y
- axis mainly shows hig h chrysene, benz[a]anthracene and indeno(1,2,3, c,d )pyrene concentrations. All the samples of this group were taken close to the entrances of the ports of Dover and Calais. These points were influenced from the channel water which was not influenced by port activities and therefore contained less petroleum
- derived PAHs. The third group is made up from the samples inside the harbour and it makes no difference whether they were taken from the transect or not. Therefore it can be stated, that the samples are q uite similar within their composition and that the seawater scrubber obviously does not change this composition significantly.

### 8 Results and Discussion of environmental samplings

75 

## 8.5 5 th 

## sampling (November) 8.5.1 pH, salinity and temperature The sampling dates as well as the high and low water times are shown in Table 8 and Table 9 . The samples in Calais were taken during low tide and the samples in Dover during high tide. The air and water temperatures, the pH and the salinity determined for the samples taken in Ca lais, Dover and inside the “Pride of Kent” are shown in Table 58 , Table 59 and Table 60 . The air temperature in Calais was 13 °C at all points. The water temperature was a little bit lower and varied between 11.1 and 11.6 °C. A temperature increase in front of the outlet of the seawater scrubber at point C 5 as it was observed during the sampling in July and September could not be detected this time. As mentioned before, the samples from point C0 and C5 were not taken from the same position. C0 was taken before the arrival of the “Pride of Kent” but at a parallel quay farer inside the port. That is why the pH was lower than at point C5 and closer related to the pH observed at point Ca l 2. The lowest pH was measured, comparable to the sampling before, at point Cal 3. This point also showed a lower salinity (30.7) than the remaining points. The reason might be the enclosed position of this point. The floodgate which can be seen in the ma p in Table 6 is only opened twice a day and therefore there is only little water exchange and the water is getting more brackish at the surface and stratification is enforced. At the remaining points the salinity was nearly constan t and varied between 32.8 and 33.0 with exception of point Cal 2 where a salinity of only 23.5 was observed. In Dover the pH range was smaller than in Calais. The lowest pH (8.15) was observed at point Dov 3 and the highest (8.26) at point D50. Within the transect samples no significant decrease or increase in pH was observed. The water and the air temperature was nearly constant at all points and also the salinity varied only between 34.2 and 34.3

Table 58 : Temperature, salinity and pH data measured at the different sampling points in Calais harbour in

November 2004 

### Point Temp [°C] air Temp [°C]

water pH Sal [PSU] Cal 1 13.0 11.6 7.95 32.5 Cal 2 13.0 11.4 7.76 23.5 Cal 3 13.0 11.1 7.92 30.7 Cal 4 13.0 11.5 8.18 32.9 C 0 13. 0 11.5 7.86 32.9 C 5 13.0 11.6 8.12 32.8 C 50 13.0 11.6 8.11 32.8 C 350 13.0 11.6 8.12 32.8 C 750 13.0 11.5 8.12 33.0

### 8 Results and Discussion of environmental samplings

76 Table 59 : Temperature, salinity and pH data measured at the different sampling points in Dover harbour in

November 2004 

### Point Temp [°C] air Temp [°C]

water pH Sal [PSU] D 0 13.0 11.7 8.23 34.2 D 5 13.0 11.6 8.24 34.2 D 50 13.0 11.6 8.26 34.3 D 350 13.0 11.7 8.25 34.3 D 750 13.0 11.6 8.17 34.3 Dov 1 13.0 11.6 8.21 34.4 Dov 2 13.0 11.6 8.18 34.4 Dov 3 1 3.0 11.5 8.15 34.3 Dov 4 13.0 11.5 8.19 34.3

Table 60 : Temperature, salinity and pH data measured at the different sampling points in the seawater scrubber

harbour in November 2004



### Point Temp [°C] water pH Sal [PSU] SD1 13.2 8. 32 33.9 SD2 27.4 6.47 34.8 SCH1 14.0 8.28 34.3 SCH2 26.2 6.66 35.0 SCH3 35.5 3.35 35.7 SCH4 34.1 2.67 35.9 SCH5 35.4 3.34 35.6 SCH6 36.9 3.30 35.8 SCH8 24.1 3.79 35.0 SC1 13.6 7.81 33.0 SC2 25.5 6.33 33.5
Inside the seawater scrubber system the water temperature was highly variable. The lowest temperatures (13.2, 14.0 and 13.6 °C) were measured in the inlet samples. In the outlet the temperature was about 12 to 14 °C higher. The highest temperature was measured at point SCH6 (36.9 °C) directly b ehind the seawater scrubber. It slightly decreased at points SCH3 and SCH5 to 35.5 °C. The salinity inside the channel was slightly higher than inside the ports of Dover and Calais. The pH values in the inlet were 8.32 in Dover, 8.28 in the Channel and 7.8 1 in Calais. These values are comparable to the values measured outside the “Pride of Kent”. The lowest pH was measured at point SCH4. An explanation might be an overflow valve from the funnel reaching the pipe shortly before the sampling point. The pH val ues at points SCH6, SCH5 and SCH3 were nearly constant with 3.30, 3.34 and 3.35. The outflowing water showed a pH between 6.33 and 6.66. It can be seen that the dilution with cooling water increased the pH and directly in front of the outlet no decrease in pH was measured.

### 8 Results and Discussion of environmental samplings

77 

## 8.5.2 Metals and Sulphate The sulphate, earth and transition metal contents are shown in Table 61 . It can be seen that chromium, manganese and molybdenum could only be determined in the settling tank and in the pipe leading to the settling tank. The reason for this might be, as explained before, the low pH and the concentration of particles in the cyclones and the settling tank. Copper was measured at all points with the exception of point SCH1. An increase of the co pper content due to the seawater scrubber cannot be stated for sure especially as during the sampling in September no copper could be determined. During the sampling in March high copper concentrations were also detected inside the settling tank. With resp ect to the inlet and outlet samples, copper is even decreasing in Calais. The iron contents were again highest inside the settling tank. Here values up to 70 times higher than those at the remaining seawater scrubber points were observed. In the outlet wat er only in Dover an increased iron content was measured. Molybdenum, vanadium and nickel, also contents of ship steel, were found especially in the seawater scrubber system. Tin concentrations varied in the system but were higher in the outlet samples in c omparison to the inlet samples. At point SCH4 no tin was found and inside the settling tank no increased tin content was observed. This again shows that the determined tin most probably originates from the sampling procedure. Potassium, lithium and magnesi um had equal contents in all samples. These earth metals are conservative due to their reactivity and their concentration only depends on salinity.

Table 61 : Sulphate, earth and transition metals determined for the samples taken in November 2004

SC1 SC2 C 5 SCH1 SCH2 SCH3 SCH4 SCH5 SCH6 SCH8 SD1 SD2 D 5 Ca ppm 397 402 384 368 400 400 407 406 406 405 385 388 388 Cr ppb
- - - - - - 74 - - 362 - - - Cu ppb 119 48 35 32 74 40 60 100 1138 37 48 46 Fe ppb
- - 74 - - 750 5292 481 585 33479 62 93 79 K ppm 388 392 353 352 386 382 386 378 381 379 359 355 361 Li ppm 178 180 163 168 184 181 183 184 183 183 170 170 167 Mg ppm 1238 1251 1186 1157 1256 1255 1272 1263 1270 1251 1198 1185 1239 Mn ppb
- - - - - - - - - 148 - - - Mo ppb
- - - - - - - - - 13 - - 12 Ni ppb
- 34 - - - 68 150 59 64 583 - - - Pb ppb 31 24 - - 18 - - - - - - 34 - SO4 ppm 2699 2864 2578 2685 2805 3008 3140 3055 3061 3038 2587 2644 2669 Sr ppm 8008 8054 7489 7693 8278 8087 8118 8264 8183 8203 7821 7731 7496 V ppb
- - - - - 197 304 201 208 2676 - 29 - Zn ppb
- 229 - - 96 426 - 266 454 465 31 147 -

### 8 Results and Discussion of environmental samplings

78 

## 8.5.3 Nutrients The seston and nutrient concentrations determined for the samples taken in November 2004 are shown in Table 62 . In Calais the mean seston contents were about 100 mg L - 1 

### higher than those observed in Dover. The highest concentrations were observed at points Cal 3 and Cal 4. The lowest were determined for point Dov 3. Inside the seawater scrubber system a significant increase was only measured at point SCH8. Comparing the inlet and outlet it can be seen that the concentrations in the inlet samples are comparable to those measured inside the harbours. In Dover the outlet water contained more suspended material than the inlet water. In Calais and in the Channel it was the reverse case. In Calais the concentration was even the half the concentration of the inlet sample.

Table 62 : Seston and nutrient concentrations determined for the samples taken in November 2004 samp. point Seston RDP DOP TDP NO 2 - NO 3 - NH 4 + DIN Si(OH) 4 [ mg L - 1 ] [ μmol L - 1 ] [ μmol L - 1 ] [ μmol L - 1 ] [ μmol L - 1 ] [ μmol L - 1 ] [ μmol L - 1 ] [ μmol L - 1 ] [ μmol L - 1 ] Cal1 148.9 0.70 4.89 5.59 0.82 14.51 10.72 26.05 22.23 Cal2 122.1 12.97 2.25 10.73 3.32 44. 86 27.10 75.27 124.14 Cal3 181.1 1.21 0.66 1.87 2.29 26.71 14.75 43.75 32.22 Cal4 184.9 0.59 2.75 3.35 0.89 14.41 9.48 24.78 20.81 C0 101.6 0.86 5.81 6.67 0.76 12.26 9.79 22.81 18.16 C5 93.1 0.15 1.52 1.67 1.50 17.15 50.27 68.92 22.28 C50 131.5 0.51 3 .35 3.85 0.96 13.43 10.55 24.95 18.18 C350 126.3 0.59 2.07 2.67 0.87 13.35 10.68 24.90 18.18 C700 63.7 0.57 5.09 5.66 0.72 11.67 9.64 22.03 15.55 D0 25.4 0.64 6.32 6.96 1.09 16.46 1.56 19.10 6.99 D5 26.9 0.68 6.17 6.85 1.14 16.47 1.56 19.16 7.14 D50 7 0.3 0.70 3.72 4.43 1.10 16.40 1.62 19.12 5.95 D350 33.1 0.73 5.24 5.97 1.28 14.67 1.28 17.23 9.47 D700 23.6 0.70 5.09 5.79 1.16 14.66 2.30 18.13 24.15 Dov2 34.0 0.79 5.22 6.01 1.20 13.89 1.50 16.58 11.56 Dov3 15.9 0.64 4.52 5.15 1.10 12.34 1.25 14.68 7 .98 Dov4 51.6 0.64 4.23 4.87 1.17 14.26 2.12 17.55 29.47 SD1 28.8 0.62 - - 0.82 13.79 0.37 14.98 7.01 SD2 86.5 - - - 2.36 19.47 2.75 24.57 6.19 SCH1 23.2 0.37 - - 1.39 11.09 0.56 13.04 5.06 SCH2 16.1 0.22 - - 2.57 11.83 2.09 16.49 4.92 SCH3 67.7 1.21 - - 0.03 24.45 2.76 27.24 8.94 SCH4 66.9 1.21 - - 0.41 26.76 5.16 32.33 10.39 SCH5 18.7 0.81 - - 0.03 18.36 0.94 19.33 7.52 SCH6 18.7 0.84 - - 0.02 18.24 0.91 19.17 7.74 SCH8 407.4 0.42 - - 0.70 14.37 6.32 21.38 28.92 SC1 140.0 0.29 - - 0.74 10.78 5. 56 17.08 15.65 SC2 73.7 0.26 - - 1.45 13.18 7.93 22.56 15.81


### Looking at the phosphorus compounds in the ports it can be seen that the RDP concentration was highest at point Cal 2 (12.97) whereas at the remaining points the concentrations varied between 0.15 (C5) and 1.21 μmol L - 1 

### (C3). At point Cal 2 also high silicate, nitrate nitrite and ammonium concentrations were observed. As this point is situated at the service quay in an enclosed position at the eastern end of the harbour this point is easily eut rophicated. Inside the harbour of Calais the nitrate, silicate and ammonium concentrations were slightly increased in comparison to the samples taken in Dover, whereas in Dover the nitrite concentrations were increased. The reason therefore might be the ar chitecture of the ports. Dover has one big “basin” open at two sides and no freshwater inflow. During each ebb and flow the water is flowing through the port and enables a marked water

### 8 Results and Discussion of environmental samplings

79 exchange. Additionally a great part of the harbour cannot be reached fr om the public areas. The opposite holds for Calais. The port has many enclosed arms and areas. Water exchange is only possible through the relatively small gate in the west of the port. Additionally the city Calais was built around the harbour and therefor e the anthropogenic influence is greater than in Dover. Inside the seawater scrubber system the RDP concentrations were only higher at points SCH3 and SCH4. At the remaining points the determined concentrations were within the range observed inside the ha rbour. Comparing the inlet and outlet samples an increase in nitrate, nitrite and ammonium can be seen. In contrast inside the system especially the NO 2 - 

### and NH 4 + 

### values are low and even lower than those observed in the outlet. Only the nitrate concentrati ons are slightly increased inside the seawater scrubber due to the NO x 

### remove from the fluegas.



## 8.5.4 Polycyclic Aromatic Hydrocarbons The PAH concentrations determined for the samples taken in November are shown in Table 69 ,, Table 70 and Table 72 . From the PAH concentrations measured in the samples taken in Calais it can be seen that the lowest total amount was determined for point Cal 2 (225 ng L - 1 

### ) and the highest for C 350 (625 ng L - 1 

### ). In Dover the lowest concentration was measured at point D 0 (106 ng L - 1 

### ) and the highest at point Dov 3 (569 ng L - 1 

### ). The transect samples taken in Dover and Calais indicate a specific trend. In Dover the samples taken 50 m away from the outlet showed t he highest concentration and in Calais that one 350 m away from the outlet. Compared to the previous samplings, the highest concentrations were observed. Taking a look at the seawater scrubber samples the highest amount was again determined inside the sett ling tank. Here high concentrations of phenanthrene, fluoranthene, pyrene, chrysene and benz[ a ]anthracene were measured. Also high concentrations of high molecular weight PAHs were observed, whereas two
- ring compounds were not enriched. As these compounds have a high solubility and do not adsorb to surfaces, they are not removed by the cyclones. The concentrations in the seawater scrubber outlet are within the same range as observed during the other samplings.

### 8 Results and Discussion of environmental samplings

80 Quality of measurement: Comparison 1 st 

### and 2 nd 

### extraction The regressions of the filter weights and the regression of all PAH concentrations determined for the first and the second extraction of the samples are shown in Fig. 37 . It can be seen that both values are close to one and no outlyers are obvious.

y = 0,9964x R 2 

### = 0,966 0,00 0,01 0,02 0,03 0,04

0,00 0,01 0,02 0,03 0,04

1st extraction2ndextraction



### y = 0,9698x R 2 

### = 0,9967
0 2000 4000 6000

0 2000 4000 6000 8000

1 st 

### extraction2ndextraction



### Fig. 37 : Regression between the first and the second extraction. Left: filter weights, right: PAH concentrations.


### Origin of PAHs To determine the relationships between the different samplin g points and to determine the origin of the PAHs a regression analysis of the compounds ( Table 63 ) and of the sampling points ( Table 64 ) was performed. Additionally a principle component analysis was carr ied out ( Table 66 and Fig. 39 ) and a plot of the isomeric ratios Phen/Anth and Flua/Pyr ( Fig. 38 ) and BaA/Chry ( Table 65 ) was drawn. Looking at Table 63 it can be seen that nearly all compounds are highly correlated. Only anthracene and acenaphthene show moderate R2 values. To obtain a better resolution and to prevent mathematical errors a look at Table 64 is necessary. From this it can be stated that all Calais samples with the exception of Cal 2 show the same distribution of PAHs. Also the seawater scrubber samples (without the inlet samples) are highly correlated with each other. Additionally the point s Dov 4 and D50 seem to show different PAH patterns in comparison to the remaining samples taken in Dover. No correlation was observed between the samples taken from the seawater scrubber and those taken in Calais, between the seawater scrubber samples and those taken in Dover, and also between most samples taken in Dover and Calais. In summary it can be said, that the PAH composition inside the harbours was different from that in the seawater scrubber system with one exception: point D5 which was taken dir ectly in front of the seawater scrubber outlet is highly correlated with the seawater scrubber samples. A comparably high correlation was not observed in Calais or at the remaining transect points in Dover.

### 8 Results and Discussion of environmental samplings

81 Table 63 : Regression o f PAH compounds. Colours are added for a better visualisation. Yellow
- highly correlated,

orange and red
- moderate or low correlation, dark red
- no significant correlation.ATHYATHEFLREPHENANTHFLUAPYRBaACHRYBbkFBaPDahABghiPINDE 

### ATHY 1 0.865 0.926 0.906 0.93 0.868 0.913 0.92 0.899 0.903 0.928 0.813 0.82 0.757 ATHE 1 0.724 0.696 0.831 0.684 0.718 0.78 0.729 0.781 0.761 0.601 0.615 0.557 FLRE 1 0.996 0.906 0.976 0.993 0.969 0.984 0.968 0.985 0.952 0.961 0.908 PHEN 1 0.874 0.967 0.986 0.974 0.989 0.965 0.989 0.962 0.956 0.894 ANTH 1 0.897 0.926 0.876 0.869 0.892 0.89 0.786 0.848 0.831 FLUA 1 0.984 0.939 0.968 0.967 0.949 0.964 0.991 0.968 PYR 1 0.961 0.977 0.966 0.976 0.947 0.965 0.926 BaA 1 0.991 0.987 0.99 0.937 0.915 0.842 CHRY 1 0.988 0.989 0.97 0.955 0.893 BbkF 1 0.979 0.946 0.945 0.89 BaP 1 0.934 0.925 0.853 DahA 1 0.973 0.929 BghiP 1 0.983 INDE 1

Table 64 : Regression of sampling points. Colours are added for a better visualisation. Yellow
- highly correlated,

orange and red
- moderate or low correlation, dark red
- no significant correlation.

Cal1 Cal2 Cal3 Cal4 C0 C5 C50 C350 C700 D5 D50 D350 D700 Dov2 Dov3 Dov4 D0 SD1 SD2 SCH1 SCH2 SCH3 SCH4 SCH5 SCH6 SCH8 SC1 SC2 Cal1 1 0.196 0.878 0.956 0.892 0.927 0.954 0.77 0.968 0.507 0.895 0.542 0.438 0.72 0.556 0.752 0.393 0.913 0.468 0.928 0.367 0.334 0.382 0.359 0.355 0.373 0.951 0.421 Cal1 Cal2 1 0.306 0.246 0.261 0.232 0.239 0.272 0.264 0.466 0.223 0.531 0.616 0.513 0.315 0.201 0.689 0.251 0.243 0.144 0.245 0.239 0.23 0.241 0.239 0.24 0.285 0.252 Cal2 Cal3 1 0.929 0.928 0.96 0.96 0.965 0.907 0.717 0.916 0.78 0.654 0.887 0.836 0.823 0.605 0.855 0.653 0.737 0.573 0.546 0.589 0.573 0.562 0.604 0.925 0.632 Cal3 Cal4 1 0.945 0.914 0.946 0.841 0.986 0.608 0.845 0.618 0.532 0.781 0.632 0.692 0.502 0.94 0.543 0.89 0.448 0.414 0.463 0.433 0.43 0.45 0.96 0.488 Cal4 C0 1 0.891 0.905 0.853 0.938 0.765 0.816 0.735 0.663 0.865 0.737 0.659 0.601 0.963 0.753 0.85 0.663 0.628 0.678 0.647 0.646 0.657 0.974 0.695 C0 C5 1 0.991 0.925 0.892 0.615 0.98 0.698 0.539 0.823 0.775 0.909 0.474 0.833 0.575 0.761 0.486 0.46 0.499 0.494 0.482 0.52 0.919 0.567 C5 C50 1 0.901 0.928 0.603 0.97 0.669 0.527 0.814 0.723 0.871 0.472 0.873 0.551 0.802 0.46 0.431 0.472 0.462 0.451 0.484 0.944 0.532 C50 C350 1 0.792 0.714 0.876 0.78 0.628 0.843 0.909 0.835 0.572 0.734 0.656 0.594 0.592 0.575 0.608 0.602 0.588 0.644 0.818 0.661 C350 C700 1 0.589 0.831 0.607 0.533 0.776 0.589 0.667 0.507 0.951 0.528 0.934 0.429 0.393 0.446 0.412 0.411 0.426 0.969 0.464 C700 D5 1 0.548 0.903 0.924 0.893 0.807 0.454 0.853 0.691 0.904 0.434 0.896 0.88 0.887 0.884 0.883 0.888 0.698 0.896 D5 D50 1 0.662 0.49 0.784 0.739 0.956 0.42 0.767 0.513 0.701 0.43 0.405 0.439 0.444 0.429 0.468 0.872 0.52 D50 D350 1 0.943 0.943 0.897 0.618 0.896 0.793 0.783 0.427 0.768 0.755 0.756 0.776 0.766 0.79 0.707 0.813 D350 D700 1 0.89 0.76 0.416 0.963 0.591 0.78 0.374 0.782 0.768 0.765 0.773 0.771 0.774 0.627 0.783 D700 Dov2 1 0.861 0.695 0.82 0.801 0.793 0.601 0.742 0.72 0.74 0.742 0.735 0.753 0.859 0.789 Dov2 Dov3 1 0.741 0.672 0.58 0.78 0.396 0.757 0.755 0.763 0.782 0.765 0.819 0.674 0.826 Dov3 Dov4 1 0.348 0.577 0.419 0.519 0.354 0.339 0.36 0.381 0.361 0.41 0.7152 0.458 Dov4 D0 1 0.538 0.65 0.347 0.652 0.636 0.636 0.637 0.636 0.641 0.572 0.645 D0 SD1 1 0.66 0.908 0.563 0.522 0.575 0.537 0.54 0.539 0.975 0.583 SD1 SD2 1 0.429 0.988 0.978 0.991 0.982 0.984 0.977 0.655 0.982 SD2 SCH1 1 0.327 0.291 0.345 0.307 0.31 0.31 0.892 0.35 SCH1 SCH2 1 0.998 0.997 0.996 0.998 0.99 0.559 0.985 SCH2 SCH3 1 0.995 0.997 0.999 0.991 0.522 0.983 SCH3 SCH4 1 0.993 0.995 0.99 0.57 0.981 SCH4 SCH5 1 0.999 0.996 0.546 0.993 SCH5 SCH6 1 0.993 0.543 0.989 SCH6 SCH8 1 0.554 0.991 SCH8 SC1 1 0.603 SC1 SC2 1 SC2 

### Table 65 : Isomeric ratios of benz[ a ]anthracene and chrysene 

### sampl. point Cal 1 Cal 2 Cal 3 Cal 4 C0 C5 C50 C350 C700 BaA/CHRY 0.9 0.8 0.7 1.0 0.9 1.3 0.8 0.8 0.9 sampl. point Dov 2 Dov 3 Dov 4 D0 D5 D50 D350 D700 BaA/CHRY 0.8 0.8 0.8 0.8 0.8 0.7 0.9 0.9 sampl. point SD1 SD2 SCH1 SCH2 SC1 SC2 SCH3 SCH4 SCH5 SCH6 SCH8 BaA/CHRY 1.7 1.9 1.0 0.5 0.8 0.6 0.5 0.5 0.5 0.6 0.5

### 8 Results and Discussion of environmental samplings

82 0 10 20 30 40 50 60 70 80 90 100

0,0 0,5 1,0 1,5 2,0

phenanthrene / anthracenefluoranthene/pyrene 

### Dover Calais SWS outlet petrogenic

pyrolytic



### Fig. 38 : Plot of isomeric phenanthrene/anthracene ratios against fluoranthene/pyrene ratios for all samples


### Taking a look at the BaA/Chry ratios ( Table 65 ) it can be seen that all values, with exception of SD1, SD2 and D5 are <1 and therefore indicate a pyrolytic origin. In Fig. 38 where the phenanthrene/anthracene and fluoranthene/pyrene ratios are plott ed, only the samples taken from the seawater scrubber outlet and the seawater scrubber system itself show petrogenic character. The remaining samples, especially those taken in Calais, seem to originate from combustion processes. As the samples were taken in fall when the heating season starts, these PAHs are most probably PAHs produced by burning wood, heating oil and gas. The principal component plot shows the similar separation of the samples as the regression chart already did. Sample Cal 2 is an outly er, showing only low concentrations. Dov 2 is correlated with C700, C350 and C005 and these samples are also located in one group in the PCA plot. Additionally D50, SD1 and Cal1 are within this group. All these samples show negative values for eigenvector 2 which is positive for low molecular weight and negative for high molecular weight PAHs. The samples show a similar distribution but as eigenvector 2 is only responsible for 20 % of the total variance it is not significant. According to their distribution along eigenvector 2 the samples can partially be divided into PAHs originating from petrogenic (negative) or pyrolytic (positive) pollution sources. Thereafter D50 has the most petrogenic and Cal 4 and C 700 the most pyrolytic character. This can easily b e explained by the positions of these points. Cal 4 and C 700 are the most eastern points in the port Calais and are situated at the entrance. These points are therefore influenced by North Sea water reaching the harbour. There the main pollution source is the atmosphere, which carries especially PAHs from pyrolytic processes. Inside the port the influence of the shipping activities is greater and this direct pollution is of petrogenic origin.

### 8 Results and Discussion of environmental samplings

83 Fig. 39 : Results of the PCA of the harbour samples Table 66 : Feature vector for the PCA of the harbour samples 

### 39.6 % (14.0) 22.3 %

(14.0) acenaphthylene 0.13 0.38 acenaphthene
- 0.13 0.42 fluorene
- 0.09 0.54 phenanthrene 0.23 0.36 anthracene 0.28 0 .35 fluoranthene 0.32 0.18 pyrene 0.32 0.11 benz[ a ]anthracene 0.36 - 0.14 chrysene 0.38 - 0.14 benzo[ b ]fluoranthene + benzo[ k ]fluoranthene 0.41 - 0.12 benzo[ a ]pyrene 0.40 - 0.14 dibenz[ a,h ]anthracene 0.14 - 0.06 benzo[ ghi

]perylene 0.02 - 0.11 indeno( 1,2,3,c,d

)pyrene 0.13 0.38

### 9 Results and discussion of the toxicity and accumulation tests

84 

## 8.6 Annual circle 8.6.1 pH, salinity and temperature In this chapter the temperature, salinity and pH values determined during all samplings are shown. Inside the “Pride of Kent“ not at all points samples were taken dur ing every sampling. In February the seawater scrubber was not active and therefore only samples from the inlet and outlet were taken. During the sampling in July sampling points 4, 7 and 8 were closed and in September and November the settling tank was not full enough to take a sample from point 7. For samples taken inside the harbour of Calais ( Fig. 40 , , Fig. 41 ) values for all samplings are available. It can be seen that the highest temperatures were mea sured in late summer during the sampling in September. Here the water temperature was about 22 °C and thus about 15 °C higher than during the sampling in February. The salinity at point Cal 4 was relative stable and higher than at point Cal 1 to Cal 3. Thi s point is situated close to the harbour entrance and is therefore influenced by the North Sea where the salinity is relatively stable. The farer inside the sampling point was located in the harbour the higher the variability was. At point Cal 2 at the eas tern end of a long sidearm the salinity varied within a wide range (18.3 to 34.0). As the pH in brackish and fresh water is lower than in salt water, the pH was also very variable at this point (7.76
- 8.50).

Cal 1: Quai en eau profonde 7,97 7,95 7,95 8,42 7,69 32,5

7,4 8,5 17,0 11,6 27,0 34,1

29,0 31,2 22,1
0 2 4 6 8 10

1 1 . 0 2 . 0 4 2 4 . 0 3 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4 sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp Cal 2: Quai de service 7,81 8,07 7,76

8,5 7,97

23,5
7,3 8,5 17,1 11,4

31,7 31,0 34,0
18,3 22,1
0 2 4 6 8 10

1 1 . 0 2 . 0 4 2 4 . 0 3 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4
sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp


### Fig. 40 : Salinit y, temperature, and pH measured at points Cal 1 and Cal 2
Cal 3: Quai de la Loire

8,28 9,35 7,89 8,04 7,92

7,3 7,7 16,5 11,1

27,5 29,0 31,9 29,6 30,7 21,5

0 2 4 6 8 10

1 1 . 0 2 . 0 4 2 4 . 0 3 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4
sampling datepH

0 5 10 15 20 25 30 35salinity[pSU]temperature[°C]

pH Sal Temp Cal 4: Jetee ouest 8,22 8,18 8,02 8,04

8,63 32,9

7,4 8,5 16,9 11,5 31,0 33,7

32,0 31,5 21,9
0 2 4 6 8 10

1 1 . 0 2 . 0 4 2 4 . 0 3 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4
sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp


### Fig. 41 : Salinity, temperature, and pH measured at points Cal 3 and Cal 4 

### Samples from the transect points in Calais were only taken in July, September and November. Th e annual course is shown in Fig. 43 and Fig. 44 . As these points were situated inside the harbour the

### 9 Results and discussion of the toxicity and accumulation tests

85 variability in salinity and pH was lower than in the samples taken closer to the shore. The latter are characterised by lower water depths and reduced water exchange and therefore by higher possibilities for the formation and longer duration of a stratified water body. The temperature at the transect points was also highest in September and decreased towar ds November. Only during the sampling in July an increase in pH from point C5 to C700 was observed. During that sampling also a salinity increase was observed. C 5: 5 m from outlet

8,28 8,12

8,08
18,2 23,1 11,6 34,0 32,8

34,6

0 2 4 6 8 10

1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4
sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp C 50: 50 m from outlet

8,29 8,11

8,09
17,1 22,8 11,6 34,0 32,8

34,7

0 2 4 6 8 10

1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4 sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp


### Fig. 42 : Salinity, temperature, and pH measured at points C5 and C 50

C 350: 350 m from outlet

8,31 8,12

8,09
17,2 22,8 11,6 34,0 32,8

34,7

0 2 4 6 8 10

1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4
sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp C 700: 700 m from outlet

8,37 8,12

8,10
17,5 22,9 11,5 35,0 33,0

34,6

0 2 4 6 8 10

1 4 . 0 7 . 0 4 0

8 . 0 9 . 0 4 1

6 . 1 1 . 0 4 sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp


### Fig. 43 : Salinity, temperature, and pH measured at points C350 and C750 

### The results of the pH, salinity and temperature measurements of Dover are shown in Fig. 44 and Fig. 45 . The results of the transect samples are shown in Fig. 46 and Fig. 47 . In Dover the variability in pH and salinity was lower than in Calais. As mentioned before, this is mainly due to the differences in the architecture of the two ports. Calais is an enclosed harbour with three separated arms and only one entrance. The harbour is situated parallel to the stream which enables a water exchange mainly in that part of the harbour close to the entrance. In the remaining part of the harbour, especially at the end of the three arms ebb and flow are the only forces allowing a water exchange inside the port. Opposite to Calais, the port of Dover is relatively open. There are two entrances, one in the north
- west and one in the north
- east. The stream, which is flowing parallel to the harbour, has the chance to flow partially through the harbour. Therefore a high water exchange is possible and the influence of the North Sea is greater here than in Calais. The lowest measured salinity was 34 PSU. Temperature was highest in September and about 14 °C higher than in February. During all samplings the temperatures in Dover were about 1 °C higher than in Calais. The values determined at the transect sampling points are wit hin the same range as the samples taken at the remaining points.

### 9 Results and discussion of the toxicity and accumulation tests

86 Dov 1: eastern entrance

8,10 8,07 8,21

8,35

8,4 15,9 22,2 11,6 34,0 34,4 35,0 34,0

0 2 4 6 8 10

1 1 . 0 2 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4
sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp Dov 2: east entrance

8,35 8,18

8,08

15,9 22,2 11,6 34,0 34,4

35,1

0 2 4 6 8 10

1 4 . 0 7 . 0 4 0

8 . 0 9 . 0 4 1

6 . 1 1 . 0 4 sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp 

### Fig. 44 : Salinity, temperature, and pH measured at points Dov 1 and Dov 2 Dov 3: middle port

8,35 8,15

8,08
15,9 21,9 11,5 34,0 34,3

35,1

0 2 4 6 8 10

1 4 . 0 7 . 0 4 0

8 . 0 9 . 0 4 1

6 . 1 1 . 0 4
sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp Dov 4: western port

8,37 8,19

8,08
15,9 22,2 11,5 34,0 34,3

35,2

0 2 4 6 8 10

1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4
sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp 

### Fig. 45 : Salinity, temperature, and pH measured at point s Dov 3 and Dov 4 D 5: 5 m from outlet

7,95 8,07 8,24

8,35

8,8 15,9 22,8 11,6 34,4 34,2 35,1 34,0

0 2 4 6 8 10

2 4 . 0 3 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4
sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp D 50: 50 m from outlet

8,00 8,04 8,26

8,35

8,8 15,9 22,3 11,6 34,4 34,3 35,2 34,0

0 2 4 6 8 10

2 4 . 0 3 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4
sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp 

### Fig. 46 : Salinity, temperature, and pH measured at points D5 and D50

D 350: 350 m from outlet

8,35 8,25

8,05
15,9 22,1 11,7 34,0 34,3

35,0

0 2 4 6 8 10

1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4 sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp D 700: west entrance

8,10 8,04 8,17

8,38

8,5 15,9 22,1 11,6 34,1 34,3 35,0 34,0

0 2 4 6 8 10

1 1 . 0 2 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4
sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp


### Fig. 47 : Salinity, temperature, and pH measured at points D350 and D700

### 9 Results and discussion of the toxicity and accumulation tests

87 Table 67 : D ifferences between the inlet and outlet samples taken from the seawater scrubber system in Calais,

Dover and the Channel. Left: pH difference. Right: temperature difference 

### pH March July Sept. Nov. Temp [°C] March July Sept. Nov. Dover 0.43 1.51 1.7 9 1.85 Dover 4.1 2.9 13.6 14.2 Channel 1.16 1.45 1.68 1.62 Channel 1.9 2.8 14.1 12.2 Calais 0.66 1.34 1.73 1.48 Calais 3.3 2.7 16.9 11.9
The annual course of the salinity, pH and temperature of the inlet and outlet samples is shown in Fig. 48 (Dover), Fig. 49 (Calais) and Fig. 50 (Channel). The pH, the temperature and the salinity of the inlet samples taken in Dover and Calais are within the same range as the samples taken in the ports. Only the sample taken in Calais in September shows a relatively low pH, but this is comparable to the sample taken at point Cal 2 ( Table 49 ). As the samp les from point SC1 were not taken at the same time and not directly at the pier but during entering the harbour, small variations are possible. Therefore it can be said, that the values are comparable and an influence of the outlet water onto the inlet wat er can be mainly excluded. Looking at the outlet samples, also an annual influence onto the temperature is obvious. The temperature of the outlet is strongly dependent of the inlet temperature. but as the difference between the inlet and outlet temperature s was greater in September and November than during the samplings in February, March and July ( Table 67 ) the main influence is by the seawater scrubber. The lowest pH in the outlet was measured in September as well. The reason th erefore might also be differences in the efficiency of the Ecosilencer. Another reason could be the relatively high temperature of the effluent, because the pH is also temperature dependent. To determine this dependency a small test was performed. 500 mL s eawater (Jade Bay, Table 1 ) were heated and cooled down again and the pH was measured continuously. It can be seen that the higher the temperature was, the lower the pH was. The different ascent between heating and cooling is a phy sical effect called hysteresis. If calcium carbonate is dissolved in water the following reaction occurs: CaCO 3 

### + H 2 

### O + CO 2 

### Ca(HCO 3 

### ) 2 

### An increase in the temperature shifts the equilibrium towards the left side. Therefore more CO 2 

### is introduced and carboni c acid is built according to:

CO 2 

### + H 2 

### O H 2 

### CO 3 

### H + 

### + HCO 3 - 

### 2 H + 

### + CO 3 2 - 

### This reduces the pH. When the water is cooled down again the CO 2 

### solubility increases and carbonic acid concentration is reduced, resulting in a pH increase. As during the heating pr ocess the CO 2 

### has to leave the water this step takes more time in comparison to the increase in solubility.

### 9 Results and discussion of the toxicity and accumulation tests

88 SD1: Dover inlet

7,72 7,99 8,32

8,38

10,7 17,8 24,0 13,2 34,2 33,9 34,4 35,0

0 2 4 6 8 10

2 4 . 0 3 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4 sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp SD2: Dover outlet

7,29 6,20

6,87 6,47 14,8 20,7

34,0 35,7 34,8 34,6 37,6 27,4

0 2 4 6 8 10

2 4 . 0 3 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4
sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp 

### Fig. 48 : Salinity, temperature, and pH measured at points SD1 and SD2 SC1: Calais inlet

8,00 7,88

8,16 7,81 18,2 13,6 35,0 34,5 33,0 32,9

9,5 20,7
0 2 4 6 8 10

2 4 . 0 3 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4 sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp SC2: Calais outlet

7,34 6,15 6,33

6,82 20,9 32,9 33,5 34,7 35,0 37,6

12,8 25,5

0 2 4 6 8 10

2 4 . 0 3 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4 sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp


### Fig. 49 : Salinity , temperature, and pH measured at points SC1 and SC2
SCH1: Channel inlet

8,06 8,44 8,28

7,94 8,08 34,3

9,2 15,2 23,0 14,0

34,9 35,0 36,0 34,3

17,4 0 2 4 6 8 10

1 1 . 0 2 . 0 4 2 4 . 0 3 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4
sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp SCH2: Channel outlet

7,99 6,99 6,66 6,40 6,78 35,0

22,3 17,1 34,9 36,0

35,0 35,2 26,2

37,1
20,2
0 2 4 6 8 10

1 1 . 0 2 . 0 4 2 4 . 0 3 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4
sampling datepH

0 5 10 15 20 25 30 35 40salinity[pSU]temperature[°C]

pH Sal Temp 

### Fig. 50 : Salinity, temperature, and pH measured at points SCH1 and SCH2

y = -0,0037x + 8,0609 R 2 = 0,7122 y = -0,0085x + 8,4243 R 2 = 0,8147

7,7 7,8 7,9 8,0 8,1 8,2 8,3 8,4

15 25 35 45 55 65 temperatur [°C]pH-value

heating cooling



### Fig. 51 : Temperature dependency of pH. The red line shows the course of the pH when the sample was heated

and the blue line shows the course of the pH when the sample was cooled down again.

### 9 Results and discussion of the toxicity and accumulation tests

89 The comparison of all samples taken at the points SCH3, SCH5 and SCH6 are shown in Fig. 52 and Fig. 53 . The salinity in these samples was always relatively high in comparison to the samples taken inside the harbours and was highest in September. In September also the highest temperature was measured. The lowest pH was determined in the sample s taken during the second sampling. As the system was not working completely in March the reason could be a slower flow speed of the water through the Ecosilencer and therefore a higher saturation with sulphuric and nitric acid.

SCH3: Channel outlet US-filter

2,73 3,14

3,14 3,35 36,7 35,5 34,5 36,8 35,7 35,5 45,3

27,6
0 2 4 6 8 10

2 4 . 0 3 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4 sampling datepH

0 10 20 30 40 50salinity[pSU]temperature[°C]

pH Sal Temp SCH5: Channel inlet US-filter

2,82 3,05

3,13 3,34 36,0 35,4 35,0 36,8 35,6 35,2
27,9 46,2

0 2 4 6 8 10

2 4 . 0 3 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4
sampling datepH

0 10 20 30 40 50salinity[pSU]temperature[°C]

pH Sal Temp 

### Fig. 52 : Salinity, temperature, and pH measured at points SCH3 and SCH5 SCH6: Channel outlet Ecosilencer

2,78 3,13 3,30

3,09 37,0 36,9 35,2 35,8 36,4 35,0 45,1

28,0
0 2 4 6 8 10

2 4 . 0 3 . 0 4 1 4 . 0 7 . 0 4 0 8 . 0 9 . 0 4 1 6 . 1 1 . 0 4
sampling datepH

0 10 20 30 40 50salinity[pSU]temperature[°C]

pH Sal Temp 

### Fig. 53 : Salinity, temperature, and pH measured at point SCH6


### A plot of all pH values observed during all sampling is shown in Fig. 54 and Fig. 55 . The error bars show the maximum allowed pH change caused by effluents outside the initial mixing zone (US
- EPA 1986). In both graphs it can be seen that the natural pH range is greater than the pH change with in the sample suite taken at the transect points. The same can be seen in Fig. 56 . During no sampling a pH decrease from the first transect point towards the harbour entrance was observed. From Fig. 58 whe re all the measured temperatures of all sampling points (without seawater scrubber system) are shown, it can be seen that the highest temperature differences were observed inside the ports in March. The temperatures measured at the transect points in July were partially higher than those measured at the remaining points inside the harbour. In detail this is shown in Fig. 57 . It can be seen that during the sampling in July and September the temperatures were higher at the first trans ect point in comparison to the remaining points. During the sampling in September the difference between the inlet and the outlet temperature was also very high ( Table 67 ). In July the difference was over

### 9 Results and discussion of the toxicity and accumulation tests

90 10 °C lower and the same effect was observed whereas in November high temperature differences did not increase the values at points C5 and D5. Due to the buoyancy of the warmer effluent it will initially have an effect on the upper water column. In summer the density stratificatio n is more stable than in winter or fall. Therefore the influenced water volume is smaller in summer than in winter and the temperature can be influenced more easily. As this temperature increase made up only 1 °C and was only measured close to the ship, no negative effects are to be expected.

7.5 7.75 8 8.25 8.5

33.5 34 34.5 35 35.5

salinity [PSU]pH



### Dover harbour

Dover transect

Fig. 54 : pH and salinity in the harbour of Dover. Triangles represent the natural variability during all samplings

in 2004. Diamonds represent the values of the transect samples.



### 7.5 8 8.5 9 9.5

16 21 26 31 36 salinity [PSU]pH 

### Calais harbour Calais transect

Fig. 55 : pH and salinity in the harbour of Calais. Triangles represent the natural variability during all samplings

in 2004. Diamonds represent the transect values.

### 9 Results and discussion of the toxicity and accumulation tests

91 6,8 7 7,2 7,4 7,6 7,8 8 8,2 8,4 8,6 8,8

0 200 400 600

distance from oulet [m]pH Calais 14.07.2004 Calais 08.09.2004 Calais 16.11.2004 Dover 14.07.2004 Dover 08.09.2004 Dover 16.11.2004



### Fig. 56 : pH impact of SWS effluents on the receivin g harbour water in Dover and Calais at three sampling (July,

Sept. and Nov.)

0 5 10 15 20 25

0 200 400 600

distance from outlet [m]temperature[°C]

Calais 14.07.2004 Calais 08.09.2004 Calais 16.11.2004 Dover 14.07.2004 Dover 08.09.2004 Dover 16.11.2004



### Fig. 57 : Temperature [°C] impact of SWS effluents on the receiving harbour water in Dover and Calais at three

sampling (July, Sept. and Nov.)

0 5 10 15 20 25

J a n . 0 4 M r z . 0 4 A p r . 0 4 J u n . 0 4 A u g . 0 4 S e p . 0 4 N o v . 0 4 D e z . 0 4 

### sampling datetemperature[°C] 

### harbour transect



### Fig. 58 : Temperatures [°C] of harbour and transect samples.

### 9 Results and discussion of the toxicity and accumulation tests

92 

## 8.6.2 Nitrate and sulphate
Nitrate In Fig

. 59 the nitrate concentrations determined in the ports and for the inlet and outlet samples are shown. It can be seen that in summer the concentrations were lower than in winter and fall. Because nitrogen is an essential compound for marine primary production it is depleted in summer when the phytoplankton production is high and nitrogen availability is a limiting factor. In winter when the plankton production is generally close to zero the nitrogen is remineralised and its concentration increases. Additionally in Fig

. 59 the nitrate concentrations of the inlet and the outlet water are shown. It c an be seen that in Calais the outlet concentration was within the natural range whereas in Dover it was slightly higher. The transect points did not show a nitrate concentration increase during any sampling and were all within the natural range.

0 10 20 30 40 50 60 70 80

Feb. Mar. Jul. Sep. Nov.

sampling dateNO3-concentration[μmoll-1] Cal1 Cal2 Cal3 Cal4 C5 C50 C350 C700 SC1 SC2



### 0

10 20 30 40 50 60 70 80

Feb. Mar. Jul. Sep. Nov.

sampling dateNO3-concentration[μmoll-1] Dov2 Dov4 D5 D50 D350 D700 SD1 SD2



### Fig

. 59 : Nitrate concentrations [μmol l - 1 

### ] observed during all samplings. Left: Port of Calais. Right: Port of Dover


### The sulphate concentrations determined in the inlet and outlet of the seawater scrubber samples are shown in Table 68 . Calculating the sulphate increase between the inlet and the outlet it can be seen that the greatest difference was observed during the sampling in November in Dover. This increase of 165 pm corresponds to a concentration change of 6.1 %. This value lies within the accuracy of the measurement and within the natural variability.

Table 68 : Comparison of sulphate inlet and outlet concentrations [ppm] 

### Feb. Mar. Sep. Nov. SD1 n.d. 2949 n.d. 2699 SD2 n.d. 2 962 2710 2864 SCH1 2842 2990 2590 2685 SCH2 2874 3052 2600 2805 SC1 n.d. 2920 n.d. 2587 SC2 n.d. 2938 2870 2644

### 9 Results and discussion of the toxicity and accumulation tests

93 

## 8.6.3 Polycyclic aromatic hydrocarbons Within this chapter the PAH concentrations determined during all samplings will be discussed. Table 69 shows the total PAH amounts, Table 70 the particulate and dissolved fractions of the harbour samples and Table 72 the bound and unbound PAHs of the seawater scrubber samples. Looking a t the total amounts which are calculated as the sum of the 16 EPA PAHs without naphthalene, it can be seen that the lowest concentrations were measured in July and the highest in November. This is an effect of fossil fuel and wood burning in the cities aro und the ports. Parallel to this seasonal effect there are also great differences between the two harbours and within harbours themselves. As an effect of the harbour structure as explained above in Dover generally lower concentrations than in Calais were o bserved. Water from outside the harbour, which is normally less contaminated and less subjected to anthropogenic influence, can easier reach the port of Dover than the port of Calais. Besides physical processes such as water exchange rates chemical and bi ological processes control the PAH contents in natural waters. Phytoplankton and seston adsorb PAHs and thus become passively enriched. Additionally, organisms can take up the PAHs and change their structure or destroy specific structures leading to an enr ichment of some structures whereas others are depleted. Additionally organisms that have taken up PAHs are removing the PAHs from the water after death when they are sedimenting or when they are consumed by heterotrophic organisms. With respect to the out let samples, the contents are always around 3000 ng L - 1 

### and the lowest PAH contents were in almost all cases measured in the Channel. The reason for this might be that the cleaning efficiency of the SWS is higher when the machines are running at full speed . Within the seawater scrubber system the highest concentrations were always measured inside the settling tank and at point SCH4. This shows that the cyclones effectively remove particles and hence particle
bound PAHs from the water. In contrary the US fil ter did not work in all cases. During the sampling in July and September the PAH concentration increased behind the US filter.

Table 69 : Sum of all 16 EPA
- PAHs (particulate and dissolved, excluding naphthalene) concentrations in ng l - 1 

### for all samplings (n.d. = not determined).

Cal 1 Cal 2 Cal 3 Cal 4 C0 C5 C50 C350 C700 Dov 2 Dov 3 Dov 4 D0 D5 D50 D350 D700 Dover inlet Dover outlet Channel inlet Channel

outlet Calais

inlet Calais outlet 11.02.2004 268 353 209 420 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 246 4055 n.d. n.d. 24.03.2004 361 334 765 342 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 473 2921 306 3400 282 2380 14.07.2004 99 69 58 46 n.d. 63 46 51 28 41 75 n.d. 26 23 72 39 35 2852 58 2459 60 3395 08.09.2004 117 248 187 134 133 109 65 86 69 130 101 50 n.d. 129 156 70 44 133 3422 72 3263 115 3577 16.11.2004 516 225 327 419 619 622 521 625 428 536 569 419 106 274 345 200 198 432 2870 593 2029 445 3407
SCH3 SCH4 SCH5 SCH6 SCH7 SCH8 11.02.2004 n.d. n.d. n.d. n.d. n.d. n.d. 24.03.2004 12502 19187 15151 15019 17320 24714 14.07.2004 20354 n.d. 16491 19854 n.d. n.d. 08.09.2004 16649 23868 14732 15901 n.d. n.d. 16.11.2004 11879 13486 12465 10334 n.d. 21211



### Table 70 : PAH concentrations in ng L - 1 

### . Listed are the concentrations of the single PAH compounds in all

samples. Concentrations are given as dissolved/particulate PAH. Dashes indicate concentrations below the limit of detection. (n.d. = not determined)

### 9 Results and discussion of the toxicity and accumulation tests

94 compound Date Cal 1 Cal 2 Cal 3 Cal 4 Dov 2 Dov 3 Dov 4 C0 C5 C50 C350 C700 D0 D5 D50 D350 D700 SD1 SD2 SCH1 SCH2 SC1 SC2 ATHY 11.02.04 1/- 4/- 2/- 1/- n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 1/- -/25 n.d. n.d.

24.03.04 2/- 4/- 23/2 8/- n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 1/- 7/- 1/- 9/1 2/- 10/- 14.07.04 8/- 3/- 9/- 8/- 4/- n.d. 2/- -/- -/- 1/- -/- -/- -/- -/- 2/- -/- 6/- 6/- -/- -/- 4/- 08.09.04 1/- 1/- -/- 1/- -/- -/- -/- 4/- -/- -/- -/- -/- -/- -/- -/- -/- -/- 2/- -/- 7/- -/- 3/- 16.11.04 9/- 8/- 11/- 12/- 28/- 12/- 9/- 9/- 14/- 14/- 12/- 13/- 7/- 8/- 8/- 11/- 10/- 13/- 14/- 8/- 13/- 13/- 23/1 ATHE 11.02.04 7/- 16/- 5/- 6/- n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 5/- -/120 n.d. n.d.

24.03.04 7/- 8/- 15/1 7/- n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 6/- 30/1 5/- 43/3 8/- 32/1 14.07.04 -/- 8/- 4/- 4/- 2/- n.d. 5/- n.d. 3/- 2/- 4/- 3/- 3/- 1/- 2/- 2/- 1/- 28/- 1/- 1/- 2/- 2/- 08.09.04 5/- 6/- 7/- 3/- 3/- 3/- 3/- 4/- 3/- 2/- 3/- 3/- 3/- 1/- 4/- 2/- 4/- 23/1 3/- 34/1 5/- 45/2 16.11.04 17/- 72/1 14/- 16/- 45/- 20/- 18/- 19/- 20/- 19/- 21/- 20/- 12/- 18/- 13/- 16/- 19/- 16/- 37/1 12/- 27/1 19/- 60/2 FLRE 11.02.04 25/- 35/- 21/- 25/- n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 25/- -/518 n.d. n.d.

24.03.04 26/- 30/- 74/6 22/- n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 28/- 132/2 30/- 193/12 23/- 126/4 14.07.04 5/- 2/- 4/- 1/- 3/- n.d. 2/- n.d. 1/- 6/- 5/- 3/- n.d. 2/- 2/- 3/- 5/- 5/- 113/2 7/- 135/2 6/- 128/3 08.09.04 5/- 5/- 27/1 6/- 6/- 5/- 6/1 9/- 5/- 8/- 3/- 4/- n.d. 7/- 7/- 6/- 4/- 9/- 144/5 5/- 147/4 7/- 163/6 16.11.04 19/- 38/1 14/- 15/- 46/- 31/1 15/- 17/- 20/- 18/- 20/- 18/- 14/- 21/- 13/- 19/- 28/1 17/- 126/4 13/- 108/3 19/- 153/6 PHEN 11.02.04 143/5 184/6 105/6 150/4 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 139/3 415/2185 n.d. n.d.

24.03.04 152/5 147/5 207/62 134/5 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 173/8 964/77 159/6 1039/404 133/4 845/98 14.07.04 27/1 22/1 3/- 16/- 16/- n.d. 32/1 n.d. 18/1 18/1 18/- 12/- n.d. 16/- 14/- 22/1 17/- 13/- 1135/71 23/- 967/68 24/- 1105/121 08.09.04 36/- 59/3 59/19 43/2 43/1 37/2 15/7 41/2 34/2 23/1 26/1 23/6 n.d. 42/3 73/3 30/1 24/1 45/1 1197/217 33/2 1249/151 47/2 1201/222 16.11.04 36/2 31/1 43/2 42/3 98/6 127/8 29/2 106/7 59/8 46/4 84/10 41/2 23/2 68/5 29/2 43/3 48/4 63/3 954/140 51/3 760/99 57/5 1087/220 ANTH 11.02.04 12/- 17/1 9/- 11/- n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 11/- 29/152 n.d. n.d.

24.03.04 10/- 10/- 21/6 9/- n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 11/1 28/2 11/- 35/13 9/- 22/3 14.07.04 3/- 3/- 4/- 2/- 1/- n.d. 1/- n.d. 2/- -/- 4/- 1/- n.d. -/- 1/- -/- 1/- -/- 26/2 3/- 30/2 2/- 41/4 08.09.04 9/- 9/1 -/- -/- 16/- -/- -/- -/- -/- 1/- 1/- -/- n.d. -/- 4/- 1/0 -/- 15/- 30/6 -/- 29/4 -/- 38/7 16.11.04 16/1 19/1 13/1 17/1 21/1 25/2 14/1 25/2 21/3 20/2 22/3 17/1 12/1 15/1 12/1 17/1 15/1 15/1 24/4 20/1 29/4 20/2 56/11 FLUA 11.02.04 28/1 39/1 20/1 35/1 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 25/1 72,378 n.d. n.d.

24.03.04 29/1 31/1 84/25 41/1 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 45/2 163/13 30/1 173/67 29/1 142/17 14.07.04 18/1 11/- 11/- 6/- 6/- n.d. 13/- n.d. 10/- 7/- 7/- 3/- n.d. -/- 1/- 9/- 4/- 4/- 121/8 3/- 105/7 5/- 130/14 08.09.04 27/1 50/3 20/7 16/1 28/1 11/1 -/4 22/1 28/2 9/- 25/1 14/6 n.d. 11/- 35/1 3/0 3/- 19/- 238/43 5/- 188/23 12/- 227/42 16.11.04 41/2 14/1 46/2 45/3 43/3 97/6 56/3 55/4 67/9 53/5 102/12 41/2 9/3 19/1 36/2 20/1 14/1 20/1 165/24 32/2 119/16 28/2 203/41 PYR 11.02.04 15/10 15/13 6/7 52/17 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 17/6 94,25 n.d. n.d.

24.03.04 35/22 28/14 29/46 36/20 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 37/46 232/279 26/16 122/372 22/11 146/262 14.07.04 12/14 9/7 13/10 5/4 4/2 n.d. 13/5 n.d. 8/7 6/6 6/4 3/2 n.d. 3/2 3/1 9/7 6/2 5/3 213/186 7/2 149/105 10/4 248/236 08.09.04 20/1 46/3 18/6 23/1 20/1 14/1 -/3 21/1 21/1 9/- 20/1 9/- n.d. 18/2 29/1 5/0 -/- 12/6 103/383 10/- 348/42 14/- 389/72 16.11.04 70/4 10/- 44/2 38/2 68/4 103/6 113/7 62/3 103/14 79/8 88/10 38/2 5/7 22/2 73/5 27/2 15/1 18/18 121/246 48/3 225/29 50/4 477/97 BaA 11.02.04 2/1 2/1 6/7 10/3 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 3/1 5/1 n.d. n.d.

24.03.04 7/4 6/3 11/18 7/4 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 7/9 59/70 3/2 29/88 4/2 40/72 14.07.04 -/2 -/- -/- -/- -/2 n.d. -/- n.d. -/2 -/- -/- -/- n.d. -/- -/- -/2 -/- -/- 234/210 -/- 242/170 -/- 355/338 08.09.04 1/1 7/6 2/7 7/6 3/2 6/6 5/- 5/6 -/- 5/2 1/1 2/- n.d. 5/7 -/- 4/4 2/1 5/3 57/205 3/2 96/146 5/4 64/216 16.11.04 49/56 7/5 20/21 29/49 24/36 20/26 21/28 53/56 26/70 27/52 21/48 34/49 4/28 10/13 20/26 7/11 6/11 39/40 95/194 68/97 46/102 28/49 69/201 CHRY 11.02.04 4/3 3/3 3/4 31/10 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 4/1 23/6 n.d. n.d.

24.03.04 22/13 17/9 13/21 18/10 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 25/31 242/290 7/4 118/361 8/4 109/196 14.07.04 -/2 2/2 -/- -/- -/- n.d. -/- n.d. -/2 -/- -/- -/- n.d. -/- -/- 3/7 -/- 2/2 124/111 4/2 165/116 4/3 191/182 08.09.04 5/4 8/7 3/8 12/9 4/3 8/8 5/- 8/10 3/5 4/2 1/1 2/- n.d. 8/11 -/- 5/6 5/3 9/5 101/369 5/4 187/283 10/8 118/403 16.11.04 54/61 9/6 28/29 30/51 29/44 24/31 26/34 60/64 28/44 32/63 26/59 39/56 5/34 13/17 27/35 7/13 7/13 47/- 153/- 72/101 87/194 34/59 108/315 BbkF 11.02.04 1/1 1/2 1/2 4/7 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. -/1 1/- n.d. n.d.

24.03.04 1/3 1/2 6/17 2/3 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. -/6 4/37 -/- 3/32 2/3 3/26 14.07.04 -/3 -/- -/- -/- -/- n.d. -/- n.d. -/4 -/- -/- -/- n.d. -/- -/- -/- -/- -/- -/47 -/- 7/39 -/- -/56 08.09.04 -/- 2/11 1/2 1/3 -/- -/- -/- -/- -/- -/- -/- -/- n.d. 1/3 -/- -/- -/- -/- 4/95 -/- 17/81 -/- 15/103 16.11.04 8/32 -/- 4/17 9/29 3/21 4/16 5/18 8/36 3/38 5/37 4/36 4/29 -/18 2/8 3/20 -/3 -/2 6/29 10/72 5/31 7/41 4/27 7/74 BaP 11.02.04 1/3 1/4 1/3 15/25 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 1/2 5/- n.d. n.d.

24.03.04 3/8 4/8 7/21 3/6 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. 1/27 18/153 1/2 19/183 3/4 16/131 14.07.04 -/4 -/- -/- -/- -/- n.d. -/- n.d. -/- -/- -/- -/- n.d. -/- -/- -/3 -/- -/- -/115 -/- 10/63 -/- 13/99 08.09.04 -/- 2/12 -/- -/- -/- -/- -/- -/- -/4 -/- -/- -/- n.d. 1/4 -/- -/- -/- -/- 6/143 -/- 27/132 -/- 23/152 16.11.04 6/23 -/- 3/13 7/22 2/12 2/9 4/15 6/27 3/32 4/30 3/30 3/17 -/15 2/9 2/16 -/- -/- 5/24 14/100 3/20 11/64 3/20 11/125 DahA 11.02.04 -/- -/1 -/- -/- n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. -/- -/- n.d. n.d.

24.03.04 1/2 -/- 4/11 -/1 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. -/3 4/37 -/- 2/23 1/1 3/25 14.07.04 -/- -/- -/- -/- -/- n.d. -/- n.d. -/- -/- -/- -/- n.d. n.d. -/- -/- -/- -/- -/34 -/- -/23 -/- -/42 08.09.04 -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- n.d. n.d. -/- -/- -/- -/- -/3 -/- 2/7 -/- -/- 16.11.04 -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- 1/7 -/- -/- -/- -/3 BghiP 11.02.04 -/1 1/2 -/- 3/5 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. -/- -/- n.d. n.d.

24.03.04 1/4 1/2 5/14 1/2 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. -/6 5/46 -/1 4/34 1/1 4/31 14.07.04 -/- -/- -/- -/- -/- n.d. -/- n.d. -/4 -/- -/- -/- n.d. -/- -/- -/3 -/- -/- -/49 -/- -/40 -/- -/62 08.09.04 -/- 1/4 -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- n.d. -/3 -/- -/- -/- -/- 1/27 -/- 6/29 -/- 9/43 16.11.04 1/3 -/- -/- -/- -/- -/- -/- -/- 1/6 -/3 1/8 -/- -/- 2/8 -/- -/- -/- 1/3 5/33 -/- 5/27 -/- 3/35 INDE 11.02.04 -/1 -/1 -/- 2/3 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. -/- -/- n.d. n.d.

24.03.04 1/2 -/1 4/13 1/1 n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. n.d. -/2 3/23 -/- 2/16 1/1 2/13 14.07.04 -/- -/- -/- -/- -/- n.d. -/- n.d. -/- -/- -/- -/- n.d. -/- -/- -/- -/- -/- -/16 -/- -/13 -/- -/22 08.09.04 -/- 1/3 -/- -/- -/- -/- -/- -/- -/- -/- -/- -/- n.d. -/- -/- -/- -/- -/- 1/17 -/- 4/20 -/- -/12 16.11.04 1/3 -/- -/- -/- -/- -/- -/- -/- -/- -/- -/4 -/- -/- 2/7 -/- -/- -/- 1/3 2/14 -/- 2/11 -/- 1/17


### The PAH composition is dominated in all samples by fluorene, phenanthrene and pyrene. Only in a few samples acenaphthene, fluoranthene, chrysene and benz[ a ]anthracene could n ot be detected. High molecular weight PAHs such as indeno(1,2,3, c , d )pyrene, benzo[ ghi

]perylene and dibenz[ a,h ]anthracene were below the detection level. Benzo[ a ]pyrene and the sum of benzo[ b ]fluoranthene and benzo[ k ]fluoranthene were mainly found in low co ntents. As the high molecular weight PAHs are generally more harmful than the low molecular weight PAHs and as the former are more easily degraded by microorganisms it can be stated that the ports of Dover and Calais are not seriously polluted. According to the World Health Organisation the maximum permissible concentration of PAHs in drinking water is 200 ng L - 1 

### calculated as the sum of BbF, BghiP,

### 9 Results and discussion of the toxicity and accumulation tests

95 BkF, BaP, Flua, Ind in carbon weight. The sums of these compounds are shown in Table 71 . It can be seen that in no harbour sample the concentration was higher than the maximum permissible content. Only the PAH concentrations determined directly in the outlet show higher values, but already directly in front of the outlet no increase was observed and values were still below the threshold of 200 ng L - 1



### .

Table 71 : Sum of BbF, BghiP, BkF, BaP, Flua, and Inde calculated as carbon weight (n.d.
- not determined) 

### [ng l - 1 

### ] Feb. Mar. Jul. Sep. Nov. Cal 1 35 50 25 27 114 Cal 2 49 49 10 85 14 Cal 3 27 187 10 29 81 Cal 4 95 58 6 20 109 Do v 2 n.d. n.d. 6 28 80 Dov 3 n.d. n.d. n.d. 11 127 Dov 4 n.d. n.d. 12 4 96 C0 n.d. n.d. n.d. 22 129 C5 n.d. n.d. 17 32 151 C50 n.d. n.d. 7 9 130 C350 n.d. n.d. 7 25 190 C700 n.d. n.d. 3 19 91 D0 n.d. n.d. n.d. n.d. 43 D5 n.d. n.d. 0 22 57 D50 n.d. n.d. 1 34 75 D350 n.d. n.d. 14 3 23 D700 n.d. n.d. 4 3 16 SD1 n.d. 85 4 18 89 SD2 n.d. 443 339 547 418 SCH1 29 33 3 5 89 SCH2 433 507 270 502 289 SC1 0 44 5 11 80 SC2 0 367 37 7 596 492
The PAH composition established in the outlet samples was also found in the seawater scrubber samples. Phenanthrene, fluoranthene and pyrene had the highest contents in all samples. Chrysene and benz[ a

]anthracene were found with contents >2000 ng L - 1 

### . The high molecular weight PAHs benzo[ ghi ]perylene, indeno(1,2,3, c , d )pyrene and dibenz[ a , h ]anthracene were almost completely bound to particles and therefore found in highest contents in the settling tank. The low molecular weight PAHs were found al most with equal contents inside the seawater scrubber during all samplings. The variance of the high molecular weight PAH concentrations was however higher. The reason for this might be the particle load of the water entering the seawater scrubber. This wa s highest in July when also the PAH concentrations were highest.

Table 72 : PAH concentrations in ng L - 1 

### determined for the seawater scrubber samples. Listed are the

concentrations of the single PAH compounds in all samples. Conte nts are given as dissolved/particulate PAH. Dashes indicate concentrations below the limit of detection. (n.d. = not determined)

### 9 Results and discussion of the toxicity and accumulation tests

96 compound Date SCH3 SCH4 SCH5 SCH6 SCH7 SCH8 ATHY 11.02.04 n.d. n.d. n.d. n.d. n.d. n.d.

24.03.04 33/3 39/3 35/4 38/4 34/6 44/9 14.07.04 41/5 n.d. 32/4 33/4 n.d. n.d. 08.09.04 11/1 18/8 8/1 5/1 n.d. n.d. 16.11.04 35/3 27/4 38/3 30/3 n.d. 37/9 ATHE 11.02.04 n.d. n.d. n.d. n.d. n.d. n.d.

24.03.04 166/17 208/17 153/16 170/20 191/33 208/44 14.07.04 171/22 n.d. 143/17 143/17 n.d. n.d. 08.09.04 166/23 143/54 136/20 156/34 n.d. n.d. 16.11.04 157/13 107/17 172/13 140/12 n.d. 182/45 FLRE 11.02.04 n.d. n.d. n.d. n.d. n.d. n.d.

24.03.04 712/75 774/65 809/84 763/88 764/132 815/171 14.07.04 718/92 n.d. 663/80 648/79 n.d. n.d. 08.09.04 650/89 665/250 570/85 553/249 n.d. n.d. 16.11.04 596/50 544/86 601/44 493/42 n.d. 880/219 PHEN 11.02.04 n.d. n.d. n.d. n.d. n.d. n.d.

24.03.04 3972/1445 5052/1423 4644/1594 4382/1757 4469/2229 5308/3276 14.07.04 7034/1182 n.d. 4766/1907 7122/901 n.d. n.d. 08.09.04 4075/2665 3768/4914 3732/2099 3116/3570 n.d. n.d. 16.11.04 3666/1599 3334/2374 3798/1503 3139/1341 n.d. 3997/4584 ANTH 11.02.04 n.d. n.d. n.d. n.d. n.d. n.d.

24.03.04 69/25 118/33 110/38 86/34 82/41 127/79 14.07.04 138/22 n.d. 98/39 134/17 n.d. n.d. 08.09.04 58/38 44/54 85/48 66/89 n.d. n.d. 16.11.04 76/33 38/28 115/5 72/31 n.d. 113/129 FLUA 11.02.04 n.d. n.d. n.d. n.d. n.d. n.d.

24.03.04 619/225 853/240 777/267 691/277 852/425 1269/783 14.07.04 781/132 n.d. 532/213 769/95 n.d. n.d. 08.09.04 743/486 757/991 683/383 200/1005 n.d. n.d. 16.11.04 606/264 626/446 647/255 492/210 n.d. 957/1098 PYR 11.02.04 n.d. n.d. n.d. n.d. n.d. n.d.

24.03.04 491/1358 1176/2553 452/1618 424/1885 700/2119 1179/3490 14.07.04 861/1592 n.d. 467/1669 1076/1681 n.d. n.d. 08.09.04 1313/859 1304/1700 1201/674 263/1816 n.d. n.d. 16.11.04 1088/474 960/684 1343/530 1021/436 n.d. 1489/1707 BaA 11.02.04 n.d. n.d. n.d. n.d. n.d. n.d.

24.03.04 132/364 364/790 138/492 120/534 212/643 312/925 14.07.04 1298/2397 n.d. 626/2182 1402/2191 n.d. n.d. 08.09.04 149/967 155/1480 212/1067 23/1140 n.d. n.d. 16.11.04 189/618 168/865 228/618 161/604 n.d. 184/1095 CHRY 11.02.04 n.d. n.d. n.d. n.d. n.d. n.d.

24.03.04 370/1024 951/2064 448/1603 374/1661 566/1714 835/2472 14.07.04 492/912 n.d. 249/892 622/970 n.d. n.d. 08.09.04 325/2110 335/3271 385/1933 46/2172 n.d. n.d. 16.11.04 346/1134 331/1699 423/1162 281/1054 n.d. 385/2294 BbkF 11.02.04 n.d. n.d. n.d. n.d. n.d. n.d.

24.03.04 21/131 20/243 18/185 9/178 31/201 55/430 14.07.04 118/354 n.d. 53/284 94/282 n.d. n.d. 08.09.04 -/1052 -/2421 39/464 -/456 n.d. n.d. 16.11.04 29/223 23/304 34/208 25/187 n.d. 24/441 BaP 11.02.04 n.d. n.d. n.d. n.d. n.d. n.d.

24.03.04 111/697 102/1221 94/980 48/930 159/1029 155/1207 14.07.04 255/764 n.d. 211/634 214/643 n.d. n.d. 08.09.04 -/442 -/730 58/685 -/690 n.d. n.d. 16.11.04 48/372 31/409 59/363 39/291 n.d. 32/575 DahA 11.02.04 n.d. n.d. n.d. n.d. n.d. n.d.

24.03.04 23/146 29/342 20/212 10/201 35/225 56/436 14.07.04 47/245 n.d. 31/172 27/176 n.d. n.d. 08.09.04 -/62 -/98 2/21 -/38 n.d. n.d. 16.11.04 3/26 4/49 4/27 4/28 n.d. 4/67 BghiP 11.02.04 n.d. n.d. n.d. n.d. n.d. n.d.

24.03.04 27/169 28/330 22/229 12/225 41/264 80/618 14.07.04 129/386 n.d. 59/320 98/295 n.d. n.d. 08.09.04 -/215 -/465 7/80 -/129 n.d. n.d. 16.11.04 19/145 16/209 22/134 16/123 n.d. 22/400 INDE 11.02.04 n.d. n.d. n.d. n.d. n.d. n.d.

24.03.04 11/67 11/136 9/98 5/94 17/107 38/292 14.07.04 27/139 n.d. 23/125 18/105 n.d. n.d. 08.09.04 -/152 -/243 4/49 -/84 n.d. n.d. 16.11.04 8/59 7/93 10/64 7/54 n.d. 13/230



### In Table 73 the mean PAH content differences between the inlet and the outlet, their standard dev iations, their minima and their maxima are shown. The greatest differences were observed for phenanthrene, pyrene, chrysene and benz[ a ]anthracene. Almost no changes were observed for acenaphthylene and the six ring compounds

Table 73 : Differences [ng L - 1 

### ] between inlet and outlet samples taken in March, July, September and November

in Dover, Calais and the Channel. Shown are the mean, the standard deviation and the minimum and maximum values. 

### [ng l - 1 

### ] mean std min max

ATHY 5 4 - 6 9

### 9 Results and discussion of the toxicity and accumulation tests

97 ATHE 24 14 0 41 FLRE 129 24 97 175 PHEN 1128 218 805 1278 ANTH 28 13 11 37 FLUA 170 57 101 210 PYR 392 94 203 452 BaA 253 190 - 17 113 CHRY 361 120 108 476 BbkF 55 33 12 36 BaP 126 43 52 199 DahA 18 15 0 38 BghiP 41 10 28 46 INDE 17 5 12 24
Origin of PAHS To determine the origin of the PAHs and to compare all samples again a plot of the isomeric ratios of phenanthrene/anthracene and fluoranthene/pyrene is used. It can be seen that all outlet samples clearly showa petrogenic character, wher eas the remaining samples cannot clearly be assigned to one specific source. Only the samples taken in November are all characterized by low phenanthrene/anthracene ratios and only two samples show comparable ratios to the outlet samples: Dov 4 (July) and D 350 (September). As the samples taken from points C5 and D5 directly in front of the seawater scrubber outlet do not show such a pattern it is most probable that Dov 4 and D350 were not influenced by the seawater scrubber and that these ratios, even tho ugh they are similar, do not relate to a PAH input from the “Pride of Kent”.

0 10 20 30 40 50 60

0,0 0,5 1,0 1,5 2,0 2,5 fluoranthene / pyrenephenanthrene/anthracene



### 11.02.04 24.03.04 14.07.04 08.09.04 16.11.04 Petrogenic

Pyrolytic outlet samples

Dov 4 D350



### Fig. 60 : Isomeric ratios of Phe/Anth vs. Flu/Pyr for all sampling dates. 

### For a further classification of the harbour samples a principal component analy sis was performed including all samples taken inside the ports of Dover and Calais and from the inlet of the seawater scrubber. The results are shown in Table 74 and Fig. 61 . Both eigenvectors together ma ke up 72.4 % of the total variance within the samples. For eigenvector 1 the values are all within the same order of magnitude and therefore the samples are separated according to their distribution along the x
- axis. The November and the March samples all have positive x
- value while the September and July

### 9 Results and discussion of the toxicity and accumulation tests

98 samples are all located on the left part of the diagram. These samples also show only a low variability in eigenvector 2. They are all situated in a range of ± 1, whereas the March samples show negative an d the November samples positive y
- values. From Table 74 it can be seen that eigenvector 2 is positive especially for chrysene, benz[ a ]anthracene and benzo[ b ]fluoranthene plus benzo[ k ]fluoranthene while it is negative for fluorene, phenanthrene, dibenz[ a,h ]anthracene, benzo[ ghi ]perylene and indeno(1,2,3, c , d )pyrene. The lower the y
- value for the specific sample is the more the samples contains of the latter compounds and the higher the y
- value the more the more they contain of the fi rst group of compounds. Therefore the samples taken in November contained more chrysene and benz[ a

]anthracene whereas the samples taken in March contained more phenanthrene and more high molecular weight compounds. As in March the heating period was still going on the water was enriched in high molecular weight PAHs whereas in November the heating period just started and therefore the pyrolytic influence was not as strong.

Fig. 61 : Results of the PCA of all harbour samples taken in February (F), March (M), July (J), November (N)

and September (S)

Table 74 : Feature vector for the PCA of all harbour samples taken in February, March, July, November and

September 

### 52.4 % (14.0) 20.0 %

(14.0) acenaphthylene 0.28 0.14 acenaphthene 0.20 0.18

### 9 Results and discussion of the toxicity and accumulation tests

99 fluorene 0.27 - 0.26 phenanthrene 0.21 - 0.38 anthracene 0.30 0.03 fluoranthene 0.32 - 0.05 pyrene 0.31 0.02 benz[ a ]anthracene 0.27 0.36 chrysene 0.29 0.32 benzo[ b ]fluoranthene + benzo[ k ]fluoranthene 0.31 0.28 benzo[ a ]pyrene 0.33 0.06 dibenz[ a,h ]anthracene 0.15 - 0.38 benzo[ ghi

]perylene 0.23 - 0.36 indeno( 1,2,3,c,d

)pyrene 0.21 - 0.38

### 9 Results and discussion of the toxicity and accumulation tests

100 

## 8.6.4 Plankton samples In March all samples with the exception of point Cal 3 (Calais: Quai de la Loire) were d ominated by diatoms. Most of them were single cells, but colonies were also observed. The sample from point Cal 3 was dominated centric diatoms ( Coscinodiscus sp.). During these sampling the samples were only analysed qualitatively. During the sampling in July, September and November plankton cells were counted quantitatively and concentrations were calculated as cells per mL. The results are shown in Table 75

.

Table 75 : Results of plankton cell counting. Concentrations are given in cells per mL.

July July July July Sept. Sept. Sept. Sept. Nov. Nov. Nov. Nov. C 5 C700 D 5 D700 C 5 C700 D 5 D700 C 5 C700 D 5 D700 water volume [mL] 2900 2880 2595 2950 3390 3440 3290 3390 5000 4950 4370 4550 concentrat ed volume [mL] 71 58 63 53 51 59 55 56 50 50 50 47 examined volume [mL] 5 5 5 5 5 1 5 5 1,0 1 1 1 examined fields 30 30 30 30 25 30 30 30 50 40 50 50 Amphora 8 Anomoneoneis 0 1 4 Biddulphia 3 5 1 8 8 1 3 1 1 Chae tocerus 3 7 10 Coscinodiscus 0 1 1 3 6 30 1 13 22 5 5 Ditylum 1 1 1 2 2 Eucampia 3 63 10 18 Gymnodiunium 1 4 Gyrodinium 2 Lauderia 16 62 Melosira 5 6 38 58 79 20 31 Metromonas 1 Navicula 1 3 1 2 2 1 Nitzschia 12 10 8 6 53 165 3 7 13 19 Olotrychales 50 Peridium 1 Pleurosigma 1 2 1 1 3 2 1 Porosira 1 Rhaphoneis 2 12 16 1 1 2 2 Rhizosolenia 2 4 3 1 6 3 1 25 69 1 1 Schroederella 5 Scenedesmus 8 Skeletonema 5 Stauroneis 1 1 Tetraedron 19 3 Tetraselmis 1 Thallasionema 13 5 14 2 15 Thallasiosira 6 1 4 5 1 Triceratium 1 5 1 Ulothrix 32 25 9 50 Calanoid 1 1 1 Polychaeten Larve 1 Sum 34 25 14 27 136 398 20 13 247 316 30 59

### 9 Results and discussion of the toxicity and accumulation tests

101 The highest cell contents were determined for sample C 700 taken in September, but also for the samples taken at points C 5 and C 700 in November. The samples taken in Calais contained more cells than those taken in Dover. This may be the result of the higher nutrient concentratio ns measured inside the port of Calais. Because of its enclosed architecture, this harbour becomes more easily eutrophicated and therefore more plankton can potentially grow. In all samples diatoms were dominating. The species observed the most often was Ni tzschia spec. Zooplanktan like copepods were only detected rarely. As no plankton data from the past are available for the ports it cannot be said whether the observed plankton contents were higher or lower than in the past. Even when the concentrations we re different from those in the years before a direct influence of the seawater scrubber cannot be assumed a priori as the variability can also be due to natural reasons like weather, nutrient availability and predation. The potential effect of the SWS can, however, be theoretically estimated. The samples taken in July, September and November contained more dissolved inorganic nitrogen (DIN) in the outlet water than the inlet water ( Table 76 ). The greatest difference was observed fo r the sample taken in Dover in November. Marine organic material of phytoplankton origin has a specific ratio of different elements. This is termed the Redfield ratio and describes the (C, N, P, O, H)
- composition as C 106 

### H 263 

### O 110 

### N 16 

### P 1 

### . It can be assumed tha t C, H, O and P are not production limiting as C, N, O and H are ubiquitous and P was found in all samples in sufficiently high concentrations. Thus, the phytoplankton growth only depends on the concentrations of inorganic N
- compounds. Nevertheles, the ca lculations presented in the following must remain highly speculative as e.g. no data on overall water exchange rates are available. In addition, the volume of the water body into which the cooling water disperses during one stay in the port is not known. S imilarly the short
- term variability of nutrients over the investigation period is unknown as is the variability in light. One mole of a Redfield molecule weighs 3550 g and contains 224 g N. One mole N weighs 14 g. Taking the highest DIN difference from Table 76 and assuming that all DIN added from the SWS is converted to biomass, than 9.59 μmol L - 1 

### would produce 2.13 mg biomass L - 1 

### . Due to the large in
- port and seasonal variations it is difficult to relate this value to actual amb ient DIN values. Taking 10 μmol L - 1 

### as low and 60 μmol L - 1 

### as high ambient concentrations then from these 2.2 and 13.3 mg biomass L - 1 

### , respectively, could be produced. This calculation does, however, not take into account duration of input or mixing proce sses. During one hour the seawater scrubber/cooling system produces 70 t of outlet water. Normally the „Pride of Kent“ stays 45 minutes inside the harbour and therefore approximately 52.5 m3 or 525,000 L effluent pass the cooling system. The additional DIN from the SWS/cooling system would thus produce 1.12 kg planktonic biomass during each visit. With five vists of the “Pride of Kent” per day this would a total of 5.59 kg additional biomass/d. Assuming that the volume affected by the discharge of 52.5 m3 SWS/cooling water is 6,000 m3 (area 20 * 50 m area to a depth of 6 m), then this relates to a volume dilution of 114. At the same time, in the 6000 m3 5.04 kg biomass could be produced from ambient 10 μmol DIN L - 1 

### . A dilution of the 1.12 kg

### 9 Results and discussion of the toxicity and accumulation tests

102 biomass produce d from the excess DIN added (see above) by a factor 114 gives 9.77 * 10 - 3 

### kg. Thus even at the lowest ambient DIN concentrations an effect of the SWS nitrogen input is negligible. The port of Dover has a total water volume of 2.538 km3. Table 76 : DIN differences between inlet and outlet samples taken in Dover, Calais and the Channel. [μmol L - 1 ] Jul. Sep. Nov. Dover 5,82 5,40 9,59 Channel 1,50 - 0,36 3,45 Calais 3,79 0,91 5,48


## 8.7 Results of mussel analysis
During the last sampling (November) mussels were taken from the quay wall at point C0. These mussels were analysed for to their PAH contamination to have the possibility to compare the results of the accumulation test. Also there is more literature available that deals with PAH i n mussels than with seawater contents. The results of the analyses are presented in Table 77 and are arranged according to mussel size. It can be seen that the highest total concentration (all 16 EPA PAHs without naphthalene) was determined in the largest size class (40
- 50 mm). In this class the dominating compounds were phenanthrene, acenaphthylene, fluoranthene and pyrene. Within the medium size class (30
- 40 mm) the major compounds were fluoranthene, chrysene and benz[ a ]anthracen e. In the smallest size class (20
- 30 mm) the same order was observed. Dibenz[a,h]anthracene and indeno(1,2,3, c , d

)pyrene were not detected. The differences in the PAH concentrations might have two reasons. The larger the mussels are, the older they are. The se mussels have lived for a longer time in contaminated water and therefore had a longer time to accumulate contaminants. Another reason might be the metabolic rates of the mussels. As these organisms were taken from the littoral (zone influenced from tide s) they are not as large as mussels taken from the sublittoral. The mussels in the size class 40
- 50 mm are therefore relatively old and the older and the bigger they are, the more energy is needed for metabolic processes and the less energy can be used for gamete production. As this production is the major indirect process for the mussel to reduce lipid
- soluble pollutants the pollutants become enriched in the older mussels. Table 77 : PAH concentrations [ng g - 1 

### ] measured in mussels taken from the quay walls at sampling point C0 and

Bio Concentration Factors (BCF). 

### size class [mm] 20 - 30 30 - 40 40 - 50 20 - 30 30 - 40 40 - 50 mean size [mm] 25.7 34.8 43.1 BCF BCF BCF ATHY
- 10 231 - 1.4 31.4 ATHE 5 8 43 0.4 0.6 3.4 FLRE 11 28 154 0.8 2.0 10.9 PHEN 50 58 343 2.0 2.4 14.0 ANTH 4 8 65 0.3 0.6 5.0 FLUA 83 89 178 8.4 9.0 17.9 PYR 58 65 173 11.7 13.1 34.8 BaA 60 70 110 6.9 8.1 12.7 CHRY 75 84 121 7.1 8.0 11.5 BbkF 23 25 33 - - -

### 9 Results and discussion of the toxicity and accumulation tests

103 BaP 14 15 36 - - - DahA
- - - - - - BghiP 4 3 14 - - - INDE
- - 3 - - - sum 389 462 1505 3.7 4.4 14.3
This increase can also be seen in the Bio Concentration Factors (BCFs, Table 77 ). BCFs are calculated as the quotient of the concentration observed in the mussel and the concentration measured in the water. If the BCF is 1 there is no bioaccumulation of the observed pollutant. If the BCF is smaller than one, the organism uses regulatory processes to reduce its pollutant concentration. Higher concentrations reflect tha t no such processes are available or that these processes work inefficiently only. Mussels are organisms that have very few possibilities to reduce their pollutant contents. That is why they are often used in monitoring studies. In Table 77 it can be seen that the mussels of the size classes 20
- 30 mm and 30
- 40 mm show similar BCFs whereas the BCFs in the bigger mussels are higher. This supports the explanations given before. In the literature several biomonitoring studies employin g mussels are available. In South Shetland mussels Webster et al (1997) determined phenanthrene concentrations comparable to those measured in Calais but Flua, Pyr, BaA and Chry concentrations one order of magnitude lower. In the southern Baltic mussels co ntained total PAH amounts ( Σ EPA) between 8.6 and 29.2 ng g - 1 

### (Potrykus et al 2003). As these samples were taken at sites away from anthropogenic influence the mussels have lower contamination levels whereas Stella et al. (2002) determined PAH concentratio ns in Italian mussels comparable to those observed in the size classes 20
- 30 mm and 30
- 40 mm.

### 9 Results and discussion of the toxicity and accumulation tests

104 

## 8.8 Results of sediment analysis
Sediment samples were taken during the samplings in July, September and November. During all samplings attempts were made to ob tain samples from points C5, D5, C700 and D700. Due to currents and due to the state of the bottom surface this was not always possible with the van Veen grab. Therefore samples were obtained at the points shown in Table 78 . The s ediment samples were taken to clarify whether the composition of the PAHs measured in the water samples at point C5 or D5 is identical with the PAH composition of the sediment. If so an increase in the PAH water concentration might be the result of resuspe nded sediment, because sediments are generally higher polluted than water samples. Another reason for taking the sediment samples was to check whether the composition of the sediment taken at points C5 and D5 is the same as observed at point C700 and D700. This could give information about the influence of the shipping activities on the sediment, i.e. is the impact is higher at the positions where the ships are berthing or is the contaminated water spreading over the whole harbour before the polluted partic les settle down. In the latter case the content and the composition should be similar at both points. If this is the case it can be expected that the effluent water of the seawater scrubber gets highly diluted and the influence onto the harbour would be sm aller.

Table 78 : PAH concentrations determined for sediment samples taken in July, September and November 

### date Jul. Jul. Nov. Jul. Sep. Nov. Jul. Sep. Nov. Sep. point Cal 1 C 5 C 5 C 700 C 700 C 700 D 5 D 5 D 5 D 700 ATHY
- - - - - - - - - - ATHE 15 3 993 2 - 11 15 3 10 2 FLRE 21 7 790 3 7 11 18 6 11 6 PHEN 173 81 8805 20 20 60 102 34 61 38 ANTH 45 18 1177 6 2 15 36 8 20 7 FLUA 564 248 9763 46 16 104 182 114 209 186 PYR 378 170 6948 30 12 70 135 88 166 14 6 BaA 171 80 5487 25 8 56 107 54 104 73 CHRY 79 26 2562 11 4 22 36 23 40 30 BbkF 138 28 2676 26 6 52 92 28 63 37 BaP 180 42 4520 34 8 72 147 33 94 52 DahA 41 6 702 5 2 10 17 7 15 10 BghiP 123 20 2044 22 8 50 89 27 62 36 INDE 169 24 2272 29 4 55 96 2 9 69 35 Sum 2098 754 48737 259 97 588 1071 453 925 657

From Table 78 it can be seen that the sediment PAH contents measured at point C5 in November were significantly higher than those measured at the remaining points. A reason for this cannot be given. Perhaps the sample was contaminated with tar or oil. Taking a look at the remaining stations it can be seen that at point Cal 1 higher concentrations were found than at the remaining points. This sample was taken from the harbou r wall at a point where there is no berthing activity and where the currents are very slow. This allows fine particles to settle down. As fine particles have a greater

### 9 Results and discussion of the toxicity and accumulation tests

105 surface than coarse ones, more PAHs can adsorb to them. At point C 700 the total PAH loa d was different during the three samplings, with highest contents measured in November and lowest measured in September. This partially corresponds to the water contents which were also highest in November. In Dover at point D5 the lowest overall concentra tion was also measured in September and the highest in November. The September sample taken form the harbour entrance was higher contaminated than the one taken at the berth. So far no clear trend is visible but it seems that in Dover there is no differenc e between samples taken at the berth or at the port entrance, whereas in Calais the berth samples seem to be higher contaminated. This would also underline the observations made before. Dover with its relatively open structure and the faster water exchange allows pollutants to be transported over a longer distance, whereas in Calais with its enclosed structure the PAHs mainly remain close to the point where they were released. From Table 79 it can be seen that the relative PAH co mpositions are comparable. Only the sample taken in July at point C5 shows in relation to the other samples a higher pyrene and benz[ a ]anthracene value.

Table 79 : PAH composition of the sediment samples taken in Calais and Dover in July, September and November

in percent. 

### date Jul. Jul. Nov. Jul. Sep. Nov. Jul. Sep. Nov. Sep. point Cal 1 C 5 C 5 C 700 C 700 C 700 D 5 D 5 D 5 D 700 ATHE 0 0 0 0 0 0 0 0 0 0 FLRE 1 0 2 1 0 2 1 1 1 0 PHEN 1 1 2 1 7 2 2 1 1 1 ANTH 8 11 18 8 21 10 10 8 7 6 FLUA 2 2 2 2 2 3 3 2 2 1 PYR 27 33 20 18 16 18 17 25 23 28 BaA 18 23 14 12 13 12 13 19 18 22 CHRY 8 11 11 10 9 10 10 12 11 11 BbkF 4 4 5 4 4 4 3 5 4 5 BaP 7 4 5 10 6 9 9 6 7 6 DahA 9 6 9 13 8 12 14 7 10 8 BghiP 2 1 1 2 2 2 2 2 2 1 INDE 6 3 4 8 8 9 8 6 7 5
Plotting the isomeric ratios of PHEN/ANTH against FLUA/PYR it can be seen that in all sediments with exception of C700 the PAH composition indicates a pyrolytic origin. In contrary to the sediment, the composition o f the PAHs in the water samples often did not clearly indicate the source. This difference might be the result of the faster degradation of PAHs originating from petrogenic sources (see Introduction). Therefore mainly PAHs from pyrolytic processes enter th e sediment.

### 9 Results and discussion of the toxicity and accumulation tests

106 

## 0 2 4 6 8 10 12

0,0 0,5 1,0 1,5 2,0

fluoranthene/pyrenephenanthrene/anthracene 

### petrogenic

pyrolytic C700 (Nov.)

Fig. 62 : Plot of isomeric phenanthrene/anthracene and fluoranthene/pyrene ratios of all sediment samples taken

in Dover and Calais in July, September and November.


### To compare the sediment samples, the water samples and the mussel samples taken in Dover and Calais a principal component analysis was performed. The results are shown in Table 80 and Fig. 63

. Eigenvector 1 was responsible for 47.6 % and eigenvector 2 for 18.2 % of the total variance. Eigenvector 1 was mainly positive for the high molecular weight and negative for the low molecular weight PAHs. Eigenvector 2 refers mainly to chrysene, benz[ a ]anthracene and the sum of benz[ b ]fluoranthene and benz[ b ]fluorant hene. These compounds are partially soluble in water. The PCA plot shows that all sediment samples had high values for eigenvector 1 and therefore they show a higher content of high molecular weight PAHs. As this indicates a pyrolytic origin as observed in the plot of the isomeric ratios it can be assumed that the sediment samples were mainly influenced from atmospheric input. The samples of the small and medium sized mussels were taken close to stations C5 and C0. The water samples taken in July are situat ed at the bottom of the graph whereas the samples taken in November are situated at the top of the graph. This shows that the four and five ring compounds make up a lower percentage of the total concentration in the July samples than in November. In Fig. 63 it can also be seen that the water samples even those taken close to the “Pride of Kent” do not show a PAH pattern similar to the sediment samples. This shows that the sediment which was resuspended by the ship screws does not i nfluence the water samples.

### 9 Results and discussion of the toxicity and accumulation tests

107 Fig. 63 : Principal component analysis of the relative PAH concentrations (percentages) of the water, sediment

and mussel samples taken in Dover and Calais in July, September and November. First letter: W=water sample, S=sediment sample, M=mussel sample (SMAL=small 20
- 30mm, MEDI=medium 30
- 40mm, LARG=large 40
- 50 mm). Second letter: J=July, S=September, N=November. Last four letters: sampling point.

Table 80 : Feature vector for the PCA of the water, sediment and mussel samples taken in Dover and Calais in

July, September and November



### compound EV1 EV2 ATHY
- 0.16 0.16 ATHE
- 0.30 - 0.08 FLRE
- 0.34 - 0.00 PHEN
- 0.30 - 0.30 ANTH
- 0.11 0.25 FLUA 0.25 - 0.13 PYR 0.12 - 0.31 BaA 0.15 0.54 CHRY
- 0.10 0.55 BbkF 0.33 0.24 BaP 0.35 0.07 DahA 0.34 - 0.13 BghiP 0.33 - 0.13 INDE 0.33 - 0.10
Soclo et al (2000) examined sediments in a French harbour (Cotonou). Here the total PAH content, with a comparable PAH compo sition to that one analysed in this project, had a maximum value of 1411 ng g - 1 

### . Inside the harbours of Rotterdam and Amsterdam (The ) sediments were analysed by de Boer et al. (2001). In this case the total contents of about 4000 ng g - 1 

### were higher than i n Calais.

### 9 Results and discussion of the toxicity and accumulation tests

108

### 9 Results and discussion of the toxicity and accumulation tests

109 

# 9 Results and discussion of the toxicity and accumulation tests
9.1 Lumistox test The results of the Lumistox test are shown in Fig. 64 . For this experiment three independent inlet and outlet samples were taken at points SCH 1 and SCH2. All three samples were tested twice for their overall toxicity. The pH values of the outlet and inlet samples are shown in Fig. 64 . The inlet samples all had a pH of 8.07. The basic luminescence measured at the beginnin g of the first test (pH 6.86) was 3478 that one of the second test (pH 7.02 and pH 6.84) was 4206. The figure shows the differences in inhibition between inlet and outlet water. These determined against a 3 % NaCl solution control. Due to the nutrients in the natural seawater which are missing in the NaCl solution also negative values for the luminescence inhibition were determined. It can be seen that all results and also the results plus the determined variance were below 20 % inhibition. As these values were obtained with undiluted samples these results represent the highest values which can be expected. Therefore there is no possibility to calculate the EC 20 

### (effective concentration where 20 % luminescence inhibition is observed) and the samples can be r egarded as non
- toxic. As the Lumistox test corresponds to microbial toxicity it can be said that the effluent of the seawater scrubber has no determinable negative effect on the microbial system of the harbours.



# 0 5 10 15 20 25 30

pH 6.86 pH 7.02 pH 6.84inhibitionofluminescence[%]



### Fig. 64 : Results of Lumistox test. Shown are the differences between seawater scrubber inlet and outlet water

taken during the sampling in September. The pH shown was the pH of the outlet sample

### 9 Results and discussion of the toxicity and accumulation tests

110 

## 9.2 Brine shrimp test Table 81 and Table 82 show the results of the acute and the chronic toxicity determined with the brine shrimp test. The results for the test performed with juvenile Artemia salina are shown in Table 81 those for the test with adults are show n in Table 82 . The pH of the outlet water varied between 6.83 and 7.07, that of the inlet water between 8.12 and 8.15. The samples taken for the brine shrimp test were independent from those taken for the Lumistox test. For the tes t with the juvenile Artemia between 34 and 75 individuals and for the adult test 22 to 35 individuals were randomly chosen and put in petri dishes. As can be seen no adult or juvenile Artemia salina died during the test, neither after 6 h nor after 24 h. T herefore no toxicity of the outlet water towards A. salina could be observed. As the test was performed over a time span of 24 h also no chronic toxicity could be observed. A. salina is regarded as key representative for plankton organisms. Therefore it ca n be stated that the seawater scrubber effluent has no negative effects on plankton organisms.

Table 81 : Results of the brine shrimp test performed with 24 h old juvenile Artemia salina



### juveniles 30 min 6 h 24 h

pH alive dead alive dead alive dead inlet Probe 1 8,13 34 0 34 0 34 0 inlet Probe 2 8,12 37 0 37 0 37 0 inlet Probe 3 8,15 62 0 62 0 62 0 outlet Probe 1 7,07 67 0 67 0 67 0 outlet Probe 2 6,87 75 0 75 0 75 0 outlet Probe 3 6,83 68 0 68 0 68 0

Table 82 : Results of the brine shrimp test performed with 4 weeks old juvenile Artemia salina



### adult 30 min 6 h 24 h

pH alive dead alive dead alive dead inlet Probe 1 8,13 23 0 23 0 23 0 inlet Probe 2 8,12 22 0 22 0 22 0 inlet Probe 3 8,15 27 0 27 0 27 0 outlet Probe 1 7,07 27 0 27 0 27 0 outlet Probe 2 6,87 24 0 24 0 24 0 outlet Probe 3 6,83 35 0 35 0 35 0

### 9 Results and discussion of the toxicity and accumulation tests

111 

## 9.3 Accumulation test 9.3.1 Mussel analyses: size, weight, condition index, fat content In this chapter the results of the combined accumula tion and toxicity test, performed with the mussel Mytilus edulis , are presented. In Fig. 65 the proportions of the dry tissue, the shell weight and the water content are shown. The sizes of the single mussels are shown in Table 83 . “Control 2” contained in comparison to “control 5” and “control 8” more individuals greater than 60 mm whereas in “control 5” and “control 8” there were more individuals smaller than 50 mm. The water content and the dry tissue wei ght of the latter two are with 26.9 %, 27.2 % and 4.5 %, 5.1%, respectively, higher than in “control 2” with 23.7 % water content and 3.2 % dry tissue weight. A similar behaviour can be observed for the tests “part 01”, “part 04” and “part 07”. In test “pa rt 01” 11 mussels were greater than or equal 60 mm, in “part 04” only 4 and in “part 07” none of the mussels was greater than 60 mm. For the tests “diss 03”, “diss 06” and “diss 09” the size distributions were similar to those of the particulate trial and the controls, with relatively more long mussels in trial “diss 03” and fewer in trial “diss 06” and “diss 09”. In this case the observed relations of water, shell and dry tissue weight are only reflected in the water content. On the right side of Fig. 65 the mean percentages of the water content, the dry tissue and the shell weight of all size classes, are given. It can be seen that increasing mussel size is paralleled by an increase in shell weight and a decrease in relative water content.

### 9 Results and discussion of the toxicity and accumulation tests

112 Table 83 : length [mm] of all mussels employed for the accumulation test. The colours separate the table in the

main classes used for the PAH determination. The first class smaller than 50 mm and the second class between 50 mm and 60 mm
control external basin part 01 cont 02 diss 03 part 04 cont 05 diss 06 part 07 cont 08 diss 09 15.2 36.2 36.1 31.1 40.2 41.8 35.6 40.1 38.8 43.4 15.8 38.4 36.1 36.8 41.7 44.8 42.5 42.9 41.4 43.7 22.4 39.4 36.7 38.9 42.2 45 43.3 44 41.8 46.7 24.7 40.1 38.2 40.8 43.2 45.4 43.4 44 42.7 49.1 28.2 41 39.3 43.8 43.8 46 43.9 44.1 43.7 49.2 33 44.8 47.8 46.9 43.9 46.4 44.1 45.6 45.5 49.9 33.3 45.8 47.8 49.2 44.7 46.7 44.5 45.6 46.1 50.3 39.1 51.5 49.5 50.4 45.7 47.2 46.1 46.1 46.4 50.9 45.3 52 53.2 52.9 46.1 47.4 46.5 46.3 47.2 52.1 45.3 53.5 53.4 53.3 46.3 47.8 47.3 47.4 47.6 52.8 46.4 54.1 54.9 53.9 47.2 47.9 47.4 47.8 47.8 53 47.1 54.5 55.1 54.1 48.8 48.3 48.2 49.5 48.7 53.2 47.6 55.8 56 55.9 50.1 48.4 48.2 49.6 48.8 53.3 48.2 56.5 56.5 57.1 50.3 48.6 48.6 49.6 49 54.2 48.4 57.5 56.7 58 50.8 49.2 49 50.2 49.7 54.4 49.8 57.6 57.2 58.5 51.4 49.2 49.2 51.2 49.7 55 50 59.8 58.2 59.2 51.6 49.2 49.2 51.3 49.8 55.3 50.2 59.9 58.5 61.1 52.4 50 49.9 51.7 50.4 56.3 50.3 60 59 61.3 52.7 50.7 50.7 52.1 50.7 56.7 50.8 60.1 59.1 61.3 55.2 51.5 51 52.3 51.8 56.8 51.6 61.2 59.2 61.5 55.2 52.1 51.5 52.5 52.3 57 52.6 61.2 59.9 61.7 55.7 52.6 51.6 52.8 52.8 57.7 52.6 62 60.1 62.1 55.8 53.7 51.7 53.4 53.3 58.7 52.6 63.5 61.5 62.8 59.7 54.5 52.5 53.4 53.8 59.1 53.2 66 62 63 59.8 55.8 52.7 53.5 55.1 59.4 53.6 66.5 65.8 63.8 59.9 55.9 53.3 50 55.8 59.9 53.8 67.5 66.8 63.9 60.5 56.1 53.8 54.9 56.6 60.6 54.7 69.7 67.7 64.3 62.5 56.2 54.8 57.1 56.9 61 56.3 70.2 69.6 63 59.4 56.3 59 60.8 62.2 56.5 68.9 70 56.7 62.8 56.6 56.8 57.7 58.4 62.8 64 70.7

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

17,0 25,6 35,7 45,8 54,5 63,3

mean length [mm]percentage water dry tissue shell



### Fig. 65 : Mean percentages of shell, dry and wet tissue weight for all mussels used in the accumulation test. Left:

percentages for each test, right: mean for all tests.

### 9 Results and discussion of the toxicity and accumulation tests

113 0 10 20 30 40 50 60 70

0 50 100

length [mm]wholewetweight[g]

0 10 20 30 40 50 60 70

0 50 100

length [mm]shellweight[g]



### Fig. 66 : Corre

lation plots. Left: whole wet weight against length. Right: shell weight against length. In both cases the red line shows the nonlinear model and the black lines the 95 % confidence interval

0 2 4 6 8 10 12

0 50 100

length [mm]tissuewetweight[g]

0 0,5 1 1,5 2 2,5 3 3,5

0 50 100

length [mm]drytissue[g]

0 0,2 0,4 0,6 0,8 1 1,2 1,4 1,6 1,8

0 5 10 15

wet tissue [mm]drytissue[g]



### Fig. 67 : Correlation plots: Left: we t tissue weight against length. Middle: dry tissue weight against length. Right:

dry tissue weight against wet tissue weight. In both cases the red line shows the nonlinear model and the black lines the 95 % confidence interval 

### In Fig. 66 and Fig. 67 the correlation plots of total wet weight, shell weight, dry tissue weight, and wet tissue weight against shell length and dry tissue against wet tissue weight are shown. The used model functions, their paramete rs, the 95 % confidence intervals of the parameters and the correlation coefficient R2 are shown in Table 84 . It can be seen that the dependencies between length and shell weight, wet weight and total weight show good correlations, whereas the scatter of the dry tissue weight is much higher.
Table 84 : Results of linear and nonlinear regression 

### dependent variable weight total [g] weight

shell [g] weight

wet tissue [g] weight

dry tissue [g] weight

dry ti ssue [g] independent variable length [mm] length [mm] length [mm] length [mm] weight dry tissue [g] function b 

## x a y   b



## x a y   b



## x a y   b



## x a y   x

a y   Parameter a 6.732E
- 05 1.206E
- 05 2.332E
- 04 2.564E
- 04 0.1488 min 95 % 4.700E
- 05 7.115E
- 07 1.200E
- 04 1.490E
- 05 0.1450 max 95 % 8.800E
- 05 2.341E
- 05 3.465E
- 04 4.980E
- 04 0.1530 Parameter b 3.062 3.363 2.412 1.910 min 95 % 2.886 3.131 2.291 1.675 max 95 % 3.238 3.595 2.533 2.145 R2 0.826 0.767 0.874 0.551 0.753

### 9 Results and discussion of the toxicity and accumulation tests

114 

## 9.3.2 Mussel analyses: PAH content, accumulation, mortality
In Fig. 68 the results of the standardized mussel tissue extraction and the R2 values for the calibration lines are shown. The error bars for the mussel tissue are the errors given by the manufacturer. The error bars of the determined values are cal culated by aid of the GC
- MS accuracy according to the values given in Table 17 (25 μg l - 1 

### ). It can be seen that all values were determined within the given error range and accuracy with the exception of fluorene. In this case the d etermined concentration was 11.3 ± 0.2 ng g - 1 

### whereas the given value was 10.2 ± 0.4 ng g - 1 

### . It has to be considered, that only the accuracy of the GC
- MS measurement was stated and not the accuracy of the whole method, which would be somewhat higher. For t he mussel extraction the accuracy of the method was not determined like for the extraction of the water samples, because a standardised reference material as control was available. All determined PAH concentrations are shown in Table 85 . The compounds added permanently during the test are indicated in italics. The contents of these compounds are also visualised in Fig. 69 . The “background” concentrations of those compounds that were not added during the test are shown in Fig. 70 . These contents can be regarded as negative control. In the latter graph it can be seen that acenaphthylene, acenaphthene and dibenz[ a,h ]anthracene are equally concentrated in all mussels, benzo[ a ]pyrene, benz o[ ghi ]perylene and indeno(1,2,3, c,d )pyrene are slightly increased and fluorene, benz[ a ]anthracene and benzo[ b ]fluoranthene plus benzo[ k ]fluoranthene are nearly doubled in the controls from the external basin. It can also be seen that within the external co ntrols the PAH contents are slightly increased in those mussels greater than 50 mm. For the mussels used in the test an inverse distribution was observed. In most cases the concentration is lower in the mussels smaller than 50 mm. Fig. 69 also shows a quite similar distribution of PAHs in the controls from the external basin and from the controls in the test. The PAH concentrations of those compounds added permanently are increased clearly in the mussels from the particulate and the dissolved test in comparison to the controls and those mussels from the external basin. Comparing the results from the dissolved and the particulate test there is no difference recognizable. To check this observation statistically, a t
- test was performed. The test was performed in two different ways: I) to check whether there is a significant difference between the two size classes and II) to check whether there is a significant difference between the dissolved and the particulate tests. The used test was the t
- test for testing the equality of the variances of two dependent random samples and was calculated according to 

#   2 2 2 2 1 2 2 2 1 

## 1 4 2 R s s n s s t



   

  
where s 1 

### and s 2 

### are the standard deviations of two samples, n is the number of compared rows and R2 is the correlation coefficient. The reference value can be taken from a significance chart (degrees of freedom = 8, α = 5 %; t (8/0.05) 

### = 2.31). In both cases the calculated t
- value was below 2.31, therefore it can be said that the observed differences in variability are coincidental. A measure for the correlation can be given by the R2 which is 0.9763 for the compariso n of the PAH concentrations in the mussels

### 9 Results and discussion of the toxicity and accumulation tests

115 smaller and greater than 50 mm, and 0.9877 for the comparison of the PAH concentrations in the mussels from the dissolved and the particulate test. This shows a high correlation between the results.

0 10 20 30 40 50 60 70 80 90FLREPHENFLUAPYRBaABbkFBaPDahABghiPINDE

PAH compoundconcentration[ngg-1] determined concentration concentration in standard mussel tissue compound steepness section R2 naphthalene 0,0046 -0,0045 0,9998 acenaphthylene 0,0035 -0,0034 0,9988 acenaphthene 0,0024 -0,0027 0,9987 acenaphthene-D10 0,0025 -0,0027 0,9995 fluoren 0,0027 -0,0027 0,9981 phenanthrene-D10 0,0041 -0,0043 0,9985 phenanthrene 0,0046 0,0000 0,9974 anthracene 0,0033 -0,0047 0,9947 fluoranthene 0,0043 0,0008 0,9905 pyrene 0,0043 0,0000 0,9895 benz[a]anthracene 0,0044 0,0000 0,9990 chrysene-D12 0,0044 0,0000 0,9979 chrysene 0,0044 0,0197 0,9962 benzo[b]fluoranthene + benzo[k]fluoranthene 0,0067 -0,0047 0,9988 benzo[a]pyrene 0,0025 -0,0028 0,9987 perylen-D12 0,0026 -0,0042 0,9978 dibenz[a,h]anthracene 0,0019 0,0000 0,9938 benzo[ghi]perylene 0,0030 -0,0037 0,9978 indeno(1,2,3,c,d)pyrene 0,0024 -0,0029 0,9963 

### Fig. 68 : Left: Comparison of PAH concentrations determined in the standard mussel tissue and the original

concentrations. Right: correlation coefficients, steepness and section of the external reference lines

Table 85 : PAH concentrations [ng g - 1 

### ] determined for the mussels in the accumulation test. Compounds indicated

in italics are those added daily. ext are the mussels taken from the external basin, 02, 05 and 08 are the controls, 03, 06 and 09 are the mussels from the dissolved test and 01, 04 and 07 are the mussels from the particulate test. test length ATHY ATHE FLRE PHEN ANTH FLUA PYR BaA CHRY BbkF BaP DahA BghiP INDE ext < 50 3 5 31 92 23 218 152 17 7 16 9 1 10 9 ext > 50 3 4 27 106 32 223 159 20 10 19 10 3 1 1 10 02 < 50 3 4 8 45 16 119 223 7 1 10 8 0 10 9 02 > 50 3 4 8 39 12 69 171 9 1 10 7 2 8 7 05 < 50 2 4 24 65 16 99 195 6 0 10 6 0 9 6 05 > 50 3 4 26 84 27 124 219 7 0 7 6 1 7 5 08 < 50 3 4 7 46 16 84 160 5 0 11 8 0 8 7 08 > 50 3 5 11 61 21 116 226 5 0 8 6 0 8 6 03 < 50 3 4 6 612 460 1218 851 6 219 9 7 0 8 7 03 > 50 3 4 7 594 434 1171 846 6 199 10 8 1 10 8 06 < 50 3 3 19 786 619 1759 1186 6 299 8 6 1 7 5 06 > 50 3 4 9 833 286 1729 1115 7 214 5 4 0 6 4 09 < 50 3 4 16 267 162 641 484 11 214 15 10 4 13 10 09 > 50 3 3 6 271 147 782 587 7 207 11 6 0 8 6 01 < 50 3 4 7 430 297 1141 818 9 254 10 7 0 8 8 01 > 50 3 4 7 393 231 1039 764 8 214 10 7 0 8 7 04 < 50 3 4 7 591 308 1205 861 6 270 12 7 0 9 7 04 > 50 2 4 29 709 437 1168 832 7 162 10 7 2 9 7 07 < 50 3 3 19 478 317 985 710 5 205 10 7 0 8 7 07 > 50 3 3 6 665 247 1354 916 6 211 7 5 0 7 5

### 9 Results and discussion of the toxicity and accumulation tests

116 

## 0 200 400 600 800 1000 1200 1400PHENANTHFLUAPYRCHRY 

## compoundconcentration[ngg-1] 

### ext < 50 ext > 50 cont < 50 cont > 50 diss < 50 diss > 50 part < 50 part > 50



### Fig. 69 : Mean concentrations of the added PAHs, determined for the different accumulation tests.



## 0 5 10 15 20 25 30 35ATHYATHEFLREBaABbkFBaPDahABghiPINDE 

## compoundconcentration[ngg-1] 

### ext < 50 ext > 50 cont < 50 cont > 50 diss < 50 diss > 50 part < 50 part > 50



### Fig. 70 : Mean concentrations of the PAHs which were not added during the test, determined for the different

accumulation tests.

Table 86 : expected PAH concentrations in the mussels if all added PAHs would have been accumulated

### 9 Results and discussion of the toxicity and accumulation tests

117 PHEN ANTH FLUA PYR CHRY particulate 01 <50 47926 20036 18668 8141 1399

>50 47926 20036 18668 8141 1399 particulate 04 <50 47652 19921 18561 8095 1391

>50 47652 19921 18561 8095 1391 particulate 07 <50 47199 19731 18385 8018 1378

>50 47199 19731 18385 8018 1378 diss 03 <50 35501 14841 13828 6031 1037

>50 35501 14841 13828 6031 1037 diss 06 <50 43475 18175 16934 7385 1269

>50 43475 18175 16934 7385 1269 diss 09 <50 53405 22326 20802 9072 1559

>50 53405 22326 20802 9072 1559

Table 87 : Percentage of accumulated PAHs, calculated as quotient of expected and observed PAH contents in

the mussels. 

### PHEN ANTH FLUA PYR CHRY

particulate 01 <50 0.9 1.5 6.1 10.0 18.2

>50 0.8 1.2 5.6 9.4 15.3 particulate 04 <50 1.2 1.5 6.5 10.6 19.4

>50 1.5 2.2 6.3 10.3 11.6 particulate 07 <50 1.0 1.6 5.4 8.9 14.9

>50 1.4 1.3 7.4 11.4 15.3 diss 03 <50 1.7 3.1 8.8 14.1 21.1

>50 1.7 2.9 8.5 14.0 19.2 diss 06 <50 1.9 1.6 10.2 15.1 16.8

>50 1.9 1.6 10.2 15.1 16.8 diss 09 <50 0.5 0.7 3.8 6.5 13.2

>50 0.5 0.7 3.8 6.5 13.2
During the whole test (30 days) the mussels in the dissolved and particulate trials were fed with the following absolute PAH amounts:

 phenanthrene = 640475 ng  anthracene = 267750 ng  fluoranthene = 249475 ng  pyrene = 108800 ng  c hrysene = 18700 ng

Y If the mussels would have accumulated the total amount of the added PAHs the concentration shown in Table 86

would have to be expected. The values were calculated as the quotients of the total amount of the PA H compounds and the sum of the dry tissue weight of all mussels used in the concerning test. Comparing these values with the actually determined compound concentrations, the accumulation rate can be calculated, as quotient of the observed concentration and the expected concentration in percent. The results are shown in 

### Table 87 . It can be seen that from the added phenanthrene 0.5 % to 1.9 %, the anthracene 0.7 % to 3.1 %, fluoranthene 3.8 % to 10.2 %, the pyrene 6.5 % to 10.6 % and the chrysene 11.6 % to 21.1 % were accumulated.

### 9 Results and discussion of the toxicity and accumulation tests

118 control - phenanthrene

0 50 100 150 200 250 300

begin endconcentration[ngl-1] dissolved - phenanthrene

0 50 100 150 200 250 300

begin endconcentration[ngl-1] particulate - phenanthrene

0 50 100 150 200 250 300

begin endconcentration[ngl-1]

control - anthracene

0 50 100 150 200 250 300 350 400 450

begin endconcentration[ngl-1]

2.7 2.2 dissolved - anthracene

0 50 100 150 200 250 300 350 400 450

begin endconcentration[ngl-1]

11.4 22.5 particulate - anthracene

0 50 100 150 200 250 300 350 400 450

begin endconcentration[ngl-1]

9.6

control - fluoranthene

0 200 400 600 800 1000

begin endconcentration[ngl-1] dissolved - fluoranthene

0 200 400 600 800 1000

begin endconcentration[ngl-1] particulatel - fluoranthene

0 200 400 600 800 1000

begin endconcentration[ngl-1]

control - pyrene

0 200 400 600 800 1000 1200

begin endconcentration[ngl-1] dissolved - pyrene

0 200 400 600 800 1000 1200

begin endconcentration[ngl-1] particulate - pyrene

0 200 400 600 800 1000 1200

begin endconcentration[ngl-1]

control - chrysene

0 100 200 300 400 500 600

begin endconcentration[ngl-1] dissolved - chrysene

0 100 200 300 400 500 600

begin endconcentration[ngl-1] particulate - chrysene

0 100 200 300 400 500 600

begin endconcentration[ngl-1]



# particulate dissol Fig. 71 : Concentrations of phenanthrene, anthracene, fluoranthene, pyrene and chrysene [ng l - 1 

### ] measured in the

aquaria of the controls, the particulate and the dissolved test one hour after a water exchange and right before the following water exchange (3 days). Contents are separated into dissolved and particulate fractions.

### 9 Results and discussion of the toxicity and accumulation tests

11 9 During the accumulation test the contents of the added PAH compoun ds phenanthrene, anthracene, fluoranthene, pyrene and chrysene in the water of the aquarium were determined half an hour after a water exchange and directly before the following water exchange after three days. The results are shown in Fig. 71 . The pH, salinity and the water temperature are shown in Table 88 . Within the water samples of the controls the phenanthrene and anthracene contents were equally low in the beginning and at the end of the three day pe riod whereas the pyrene, chrysene and fluoranthene increased during that time. The same was observed in the samples from the aquaria of the dissolved test. Also the contents were quite similar. In contrary to the increase of dissolved pyrene, chrysene, and fluoranthene, the contents observed in the particulate test showed another distribution: the phenanthrene content in the beginning was 259 ng l - 1 

### and in the end 15 ng l - 1 

### , the anthracene contents were 427 ng l - 1 

### and 10 ng l - 1 

### the fluoranthene contents 727 ng l - 1 

### and 174 ng l - 1, 

### the pyrene contetnts 609 ng l - 1 

### and 203 ng l - 1 

### and the chrysene contents 448 ng l - 1 

### and 400 ng l - 1 

### , respectively. The observed differences between the PAH contents of the particulate and the dissolved tests and the increase of fluor anthene cannot be explained. One reason might be that the water of the aquarium was not mixed thoroughly enough before taking the samples. This was difficult as stirring was not possible because of the mussels in the aquarium. This would also explain why m ainly dissolved PAHs were determined whereas the particulate PAH fraction was low. The reason for the latter aspect could also be that the samples were not taken directly after the PAH addition, but about half an hour later. As blue mussels are able to fil ter about 1 l seawater per hour and 30 mussels were inside the aquarium half an hour would be sufficient to filter the whole water volume of 17 l. Table 88 : pH, salinity and temperature determined in the aquariums during the test 

### pH Sal Temp [°C] 1 7.91 31.5 18.5 2 8.06 31.5 18.5 3 7.83 31.5 18.5 4 7.92 31.5 18.3 5 8.01 31.5 18.5 6 7.94 31.5 18.4 7 7.94 31.5 18.5 8 8.02 31.5 18.5 9 7.93 31.5 18.5

From Table 77 where the PAH concentrations determ ined for the mussels taken in Calais are shown. It can be seen that the total amount of the mussels smaller than 40 mm in Calais is about the same as those concentrations observed in the external basin and the controls, but the composition is different. Th e mussels taken in Calais contain higher concentrations of phenanthrene and fluoranthene whereas the mussel taken from the Jade Bay show higher concentrations of high molecular weight PAHs. Due to their life history the mussels are not directly comparable concerning to their PAH concentrations. The mussels in Calais were growing inside an enclosed harbour with high shipping activities. The PAH composition of this harbour has been discussed before. The mussels taken from the Jade Bay were mainly influenced f rom PAHs reaching them through the atmosphere. Therefore they contain mainly high molecular weight PAHs.

### 9 Results and discussion of the toxicity and accumulation tests

120 Although the PAH compositions of the mussels cannot be compared directly, the accumulation rates will be

similar. The „Pride of Kent“ discharges about 52.5 m3 of mixed colling water/seawater scrubber effluents during each visit (see 8.6.4 on page 100 ) in the ports of Dover and Calais, 5 times a day. During one day 252.5 m3 of outlet water would b e introduced into each port. Taking the mean PAH differences of Table 73 this would sum up to a total PAH introduction and to a concentration increase of the values shown in Table 89 . As only the water vo lume of the port of Dover was available this calculation was exemplary carroied out with this volume (2.538 km2). In this calculation losses due to biological or chemical degradation (UV, micro organisms, translocation processes) and physical processes (cu rrents, adsorption and settling) are not included. Assuming that one mussel filters about 1 l seawater per hour and using the dry weight calculated according to Table 84 and a mean accumulation rate from 

### Table 87 then the content s given in Table 90 would be the result after one year of accumulation for one mussel. As inside a harbour there is not only one mussel and as the accumulated PAHs would have to be subtracted from the available PAHs in the water b ody the real value makes up only a very small fraction of the values in shown in Table 90

.

Table 89 : Total PAH amounts [mg] that will be theoretically introduced during one day into the ports of Dover and

Calais and theoretical concentration increase [pg l - 1 

### ]



### total amount [mg] released in 1 day concentration increase [pg l - 1 

### ] per day ATHY 1 1 ATHE 6 3 FLRE 34 13 PHEN 296 117 ANTH 7 3 FLUA 45 18 PYR 103 41 BaA 66 26 CHRY 95 37 BbkF 15 6 BaP 33 13 DahA 5 2 BghiP 11 4 INDE 4 2

Table 90 : Mean accumulation rate, total accumulation per day and year and resulting contamination after one

year for a 20 mm mussel. 

### mean acc rate [%] accumulation

per day [pg] accumulation

per year [ng] concentration in a 20 mm

mussel after 1 year [ng g - 1 

### ] 1.3 35 12.8 163 1.7 1 0.4 5 6.9 29 10.6 136 11.0 107 39.1 499 16.3 102 37.2 475 Mortality This test was also performed as a toxicity test. Therefore the mortality of the mussels was al so observed. During the whole test 4 of the 270 employed mussels died. Two mussels of the aquarium “diss 3” after three and after 21 days, one of test “part 7” after seven days and one in aquarium “part 1” after 10 days. As the mussels of the particulate a nd the dissolved test were equally contaminated with PAHs this mortality can be assumed for all mussels in the tests. Four mussels of the 180 mussels

### 9 Results and discussion of the toxicity and accumulation tests

121 died, this gives a mortality of 2.2 %. When the tests are considered separately than the mortalities in th e particulate test would be 3.3 %, 0 % and 3.3 %. For the dissolved tests the result would be 6.6 %, 0 % and 0 %. These values are within the natural variability. Therefore it can be stated that the PAHs had no toxic effect on the mussels. As this test was performed over a time span of 30 days it can also be stated that the PAH composition of the effluent has no chronic toxic effect on the mussels. To check the constitution of the mussels, the fat and the shell index (SI) were determined. The results are g iven in Table 91 . The higher the fat content and the higher the SI is, the better the conditions of the mussels were. It can be seen that the SI for the mussels taken in Calais was about double the SI determined for the mussels us ed in the test. The reason for this might be that the mussels for the test were stored in the external basin where no additional food than the seston and plankton collected together with the mussels was available. The mussels of Calais were collected direc tly inside the harbour. Harbours are characterized by eutrophication and high bioproduction and therefore enough food for the mussels was available. Low fat and SI values were only determined for “part 1”. In this test the mean shell length was 55.4 mm whe reas in the remaining particulate tests the shell length was shorter. Bigger mussels need more food and therefore they faster suffer starvation. This could also be a reason why some of the mussels died during the test.

Table 91 : M ean shell index and fat content determined for the mussels of the accumulation test and for the

mussels taken in Calais 

### test SI fat content [%]

Calais 13.1 n.d. ext basin 7.4 2.2 cont 2 5.0 5.6 cont 5 6.8 6.1 cont 8 7.7 5.3 part 1 4.4 3.3 part 4 7. 6 3.4 part 7 6.9 5.9 diss 3 7.6 3.9 diss 6 7.5 5.9 diss 9 6.9 5.9

### 10 Conclusions

122 

# 10 Conclusions During this project the environmental impact of a seawater scrubber has been analysed for the harbours of Calais and Dover. Five sampling campaigns were organised during which samples were taken inside the ports, from the seawater scrubber system and within a transect leading 700 m away from the seawater scrubber outlet. The seawater scrubber, the so
- called “Ecosilencer”, was installed in the funnel of the channel ferry “P ride of Kent” to reduce her SO x 

### emissions. As seawater scrubbing is a wet fluegas desulphurisation process not only SO x 

### is dissolved but also NO x 

### , volatile organic compounds, and hydrochloric acid. The dissolved SO x 

### and NO x 

### form sulphuric and nitric acids and reduce together with the HCl the pH of the scrubbing effluent significantly. The samples taken from the seawater scrubber system partially showed pH values lower than pH 3. Because of the buffering capacity of seawater due to the bicarbonate system the pH increases again after an initial acidification. This could be shown in several experiments. From these it could also be shown that a mixture containing 40 % of seawater acidified to a pH of 4, i.e. comparable to that what happens in a seawater scrubber , only changes its pH about 0.2 units. To reach this equilibrium several hours were needed but the largest changes were observable already a short time after mixing. On board of the „Pride of Kent“ the seawater scrubber effluent was mixed with seawater fro m the cooling cycle of the vessel. Thus a significant pH increase could be obtained but the pH was still lower in comparison to the inlet and the surrounding waters. The lowest pH measured in the overboard discharge was 6.2. As many organisms are only able to survive when environmental conditions are stable adecrease in pH might be a risk for those organisms. That is why the United States Environmental Protection Agency has passed a guideline concerning the introduction of acids which states that within the initial mixing zone the pH change is not allowed to be higher than 0.2 units. In the case of the Ecosilencer the initial mixing zone is directly in front of the overboard discharge of the „Pride of Kent“. To check whether there is an observable pH change, samples were taken directly in front of the outlet (1 to 5 m distance) and 50 m, 350 and 700 m away from the outlet. In no sample taken at the first point of this transect a pH decrease was observed. In Calais the natural pH variability was much higher th an the variability measured in the transect. This shows that the bicarbonate system in the seawater effectively buffers the acids added by the operation of the Ecosilencer. Additionally to the acidification the dissolved SO x 

### increases the sulphate concent ration in the effluent. The samples taken behind the Ecosilencer showed a sulphate increase between 14.0 and 18.7 %. In fresh water lakes sulphate might be a limiting factor but in sea water sulphate is a common and conservative component. The inlet sample s taken in the Channel can be considered as blank sample, because the inlet water was not influenced by the outlet water and in the Channel the water current is high enough so that an influence of the previous passing of the „Pride of Kent“ can be neglecte d. In these samples sulphate concentrations between 2590 and 2990 ppm were observed. In the outlet samples values between 2600 and 3052 ppm were determined which accounts for an increase of 0.4 to 4.5 %. As the method to determine this concentration alread y had an error of 6 % a sulphate increase in the outlet samples cannot be stated for sure. Even if there would be a slight increase the

### 10 Conclusions

123 influence of the seawater scrubber on the sulphate concentrations in the harbours and therefore on the marine environmen t would be very low. Additionally it has to be mentioned that in Calais a wide range of sulphate concentrations, between 1479 and 2628 ppm, was observed. Another nutrient that might be influenced by the seawater scrubber is nitrate. It is formed in the scr ubbing process when NO x 

### is dissolved in water. It is an important nutrient in the sea. In the samples taken after the Ecosilencer in the Channel, the nitrate concentrations were about two to thirteen times higher than in the seawater inlet samples. The cle anup processes on board (cyclones and US filter) did not reduce these concentrations. The only reduction was observed after dilution of the effluent water with the cooling water. In the effluent samples the nitrate was only twice the inlet concentration. T o determine the influence of this additionally added nitrogen a calculation was made to determine the amount of additional biomass production. This showed that an increase in primary production in a given year would be less than the actual primary producti on during one sunny day per square metre. Another indirect influence of the seawater scrubber that has to be considered is that the reduced pH in the effluent influences the solubility of metal ions. To check this, samples were taken from the seawater scr ubber system and analysed for their metal contents. The highest values for all samplings were determined for the samples taken from the settling tank and the pipe leading to the settling tank. This water contains the particles filtered from the water by th e cyclones. The high concentrations showed that the cyclones effectively remove contaminated particles. The highest metal contents were determined for iron. As iron is the major compound of ship steel this result is not surprising. In the outlet samples be side iron also copper, nickel and lead were found. These were only detected during two samplings and here also in the inlet samples. The copper might originate from ship coatings that contain copper as antifouling biocide while nickel is like iron a compou nd of ship steel. With respect to the metals it can be said that the seawater scrubbing process itself has no influence on their contents, but that due to the reduced pH metals are leached from the steel, the tubing and the funnel. If the metals are presen t in particulate form they are filtered out of the water and retained in the settling tank. The sludge is removed separately and therefore no harm on the marine environment is expected. Another group of compounds that is enriched in the seawater scrubber effluent are polycyclic aromatic hydrocarbons. These are either dissolved or bound to soot particles which are formed during incomplete combustion processes. The low molecular weight PAHs such as the two and three ring compounds are soluble in water wherea s the higher molecular weight PAHs with four rings and more are mainly bound to particles. Therefore not all PAHs can be removed from the water with the US filter and the cyclones which remove only particulates. This is the reason why there were still rela tively high amounts of PAHs in the outlet samples. However, in front of the seawater scrubber outlet no increased PAH contents could be determined. In Dover high PAH concentrations were most often found close to the middle or in the western part of the por t where the water is shallower. At this point the current speeds are lower and therefore pollutants might be enriched. Close to the berth and at the eastern entrance of the harbour low PAH contents were measured most probably originating from North Sea wat er, which is lower contaminated with PAHs, and is flowing into the port at this point.

### 10 Conclusions

124 In Calais the PAH contents were mostly equal at all points. Only during the sampling in March very high contents were observed at point Cal 3. Here a total PAH content o f 765 ng l - 1 

### was measured which was the highest value determined in all harbour samples. This high concentration was the result of an algal bloom occurring at that point. The plankton cells might have enriched the PAHs by different pathways: the PAHs might have adsorbed to the surface of the cells or the organism itself produced the PAHs or took them up and accumulated them that way. This shows that there are also very high natural variations. Seasonal variations were also observed. In summer the concentrat ions were close to the detection limit and high molecular weight PAHs were not found at any point. In contrary in late fall and early spring the PAH contents were higher. This variability is the result of fossil fuel burning which is increased during the h eating period. This is also the reason why in fall higher amounts of high molecular weight PAHs were measured. To determine the origin of the PAHs and to exclude the seawater scrubber as probable source regression and principle component analyses were per formed and different indices based on isomeric ratios were applied. The latter indicated that the PAHs determined in the seawater scrubber samples originated from a petrogenic source. This was surprising because it can be expected that in a funnel only PAH s of pyrolytic origin should occur. The reason could be that the fuel is not completely combusted. The indices calculated for the harbour samples did not clearly differentiate between a pyrolytic or a petrogenic origin possibly due to the different PAH sou rces that influence the harbour. On one hand there are big cities close to the ports introducing a high amount of PAHs originating from a pyrolytic origin (shipping, car traffic, heating) and on the other hand there are the shipping activities inside the p ort that introduce PAHs originating from petrogenic sources. With the linear regression and the principle component analyses it could be shown that the composition of the seawater scrubber samples was different from those observed in the harbours. A change of the signal due to the dilution with the cooling water could be rejected because the PAHs in the outlet samples showed the same distribution as those in the system itself. As data on seawater samples are rarely available in the literature sediment and m ussel samples were also taken inside the ports of Dover and Calais. The PAH load of the sediments was comparable to concentrations measured in another French harbour and were lower than in the ports with high shipping activities like Rotterdam and Amsterda m. The mussels were higher contaminated than mussels collected at the Shetlands or in the Baltic. With respect to temperature, nutrients and PAHs, the two ports showed differences. One reason might be the different architecture. In Calais the harbour is e nclosed by walls and is made up of three arms. One arm is separated by a flood gate which is only opened during high tide. The city of Calais and local industry are located next to the harbour and therefore the anthropogenic influence is relatively high. A water exchange is only possible through a relatively small entrance in the north
- west of the harbour. In contrary the harbour of Dover possesses two entrances, one in the south and one in the west. This enables a higher water exchange and therefore the wa ter remains inside the harbour for a shorter time. This port has no side arms where water can be retained, as the harbour walls are built around a large basin. Due to this architecture the city of Dover touches the port only at the north side. Because of t hese differences the environmental parameters determined in the ports were also different. In Dover the salinity was higher and the water temperature was lower in the most cases than

### 10 Conclusions

125 in Calais. Also the phosphate and nitrogen concentrationsn and in most ca ses also concentrations of polycyclic aromatic hydrocarbons were lower. The nitrate concentrations determined for the two ports showed a distinct seasonal behaviour. In summer low concentrations were measured, whereas in February and November relatively hi gh concentrations were observed. Nitrate is a limiting nutrient for marine organisms and therefore it is depleted in summer when plankton bioproduction is high. In fall and winter organic nitrogen compounds are remineralised and hence the nitrate concentra tions increase. Additionally to the observations inside the ports and board of the „Pride of Kent“, toxicity tests were performed to determine the overall toxicity of the outlet water. The tests covered inhibition of bacterial luminescence, mortality of br ine shrimps and accumulation of PAH by blue mussels ( Mytilus edulis ). None of all this tests did reveal an increased toxicity of the effluent, neither acute nor chronic. Summarizing the results it can be said that in the effluent the pH was decreased by a maximum of two pH units, the sulphate content was slightly increased and the nitrate concentration was doubled. Close to the seawater outlet in the ambient warters no decrease in pH, no higher nitrate or sulphate values, and no increased PAH or metal cont ents were determined. Also no toxicity towards bacteria, zooplankton or mussels was determined for the outlet samples. Although the PAHs are increased in the outlet water these would have reached the North Sea anyway by atmospheric deposition after release by combustion. In this case the PAH amounts would have been higher as in the seawater scrubber system a part was collected by the cyclones. Improvement of the cylone efficiency would help to minimise the problem of particulate PAH introduction to the mari ne environment Additionally it has to be stated that when the seawater scrubber is to be be used in areas with brackish or fresh waters, the effects might be different. Fresh waters have for example less pH buffering capacitiy

– unless the water drains a carbonaceous area
- and therefore the critical load for acidity might be reached very fast.

### References

126 

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# References World Wide Web
Boadway T., Jacobson C., North P., OMA Ground Level Ozone Position Paper http://www.oma.org/phealth/health.htm 

### MacPhail J., Boadway T., Jacobson C., North P., Ontario Medical Association, Toronto, http://www.oma.org/phealth/health.htm UN/ECE Convention on Long
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### US
- EPA Terminology Reference System http://oaspub.epa.gov/trs/trs_proc_qry.n avigate_term?p_term_id=8844&p_term_cd=TERM

### Appendix

130 

# Appendix Matlab Source Code for Principal component analysis close all; clear all; load alle_harbour.txt; M = alle_harbour; num_row = size(M,1); num_col = size(M,2); fid = fopen('txt_alle_harbour_neu.txt','r '); ind=1; while feof(fid) == 0 h(ind) = fscanf(fid,'%c \ n',1); ind=ind+1; end fclose (fid); stand1 = 1; %Standardize values by mean and standard deviation stand2 = 0; %Standardize values only by mean cov1 = 0; %varialbes for the calcualtion of the covariance cov2 = 0; %varialbes for the calcualtion of the covariance for i = 1:num_col A1(i) = mean(M(1:num_row,i)); B1(i) = std(M(1:num_row,i)); end % Standardize values if stand1 for i = 1:num_row for j = 1:num_col M_std(i,j) = (M(i,j)
- A1(j))/B1(j); end end end if stand2 for i = 1:num_row for j = 1:num_col M_std(i,j) = M(i,j)
- A1(j); end end end % Calculating covariance matrix for j = 1:num_col A2(j) = mea n(M_std(1:num_row,j)); end for j1=1:num_col for j2=1:num_col for i = 1:num_row cov1 = (M_std(i,j1)
- A2(j1))*(M_std(i,j2)
- A2(j2)); cov2 = cov2 + cov1; cov1 = 0; end cov(j1,j2) = cov2/(num_row
- 1); cov2=0; end end % Computing eigenvalues and eigenvectors [V,D] = eig(cov); d = eig(cov); V = V*(
- 1); %Finding max eigenvector values [VALUE,INDEX] = sort(d); Index1 = INDEX(num_col); Value1 = VALUE(num_col); Index2 = INDEX(num_col
- 1); Value2 = VALUE (num_col
- 1); if num_col > 3 Index3 = INDEX(num_col
- 2); Value3 = VALUE(num_col
- 2); end total_var = sum(d); Val1_var = (Value1/total_var)*100; Val2_var = (Value2/total_var)*100; Val3_var = (Value3/total_var)*100; disp(sprintf (' \ n \ n \ n')) disp(spri ntf ('Value1 (%2.3f) gives account for %2.1f %% of the total variance (%2.1f) ',Value1,Val1_var,total_var)) disp(sprintf ('Value2 (%2.3f) gives account for %2.1f %% of the total variance (%2.1f) ',Value2,Val2_var,total_var))

### Appendix

131 if num_col > 3 disp(sprintf ('Value3 (%2.3f) gives account for %2.1f %% of the total variance (%2.1f) \ n \ n \ ',Value3,Val3_var,total_var)) end % Creating feature vector feat_V (1:num_col,1) = V(1:num_col,Index1); feat_V (1:num_col,2) = V(1:num_col,Index2); feat_V = feat_V'; disp(sprin tf ('The feature vector for deriving the new data set is \ n')) for i = 1:size(feat_V,2) disp(sprintf (' \ t %2.2f \ t%2.2f',
- feat_V(1,i), feat_V(2,i))) end % Deriving the new data set M_std=M_std'; Final_Data = feat_V*M_std; Final_Data = Final_Data'; % plotting final data x = Final_Data(1:num_row,1); y = Final_Data(1:num_row,2); plot(x,y,'ok') title('Principal component ananlysis, al harbour samples from all samplings') xlabel(sprintf ('eigenvector 1 (%2.1f %% of variance)',Val1_var)) ylabel(sprintf (' eigenvector 2 (%2.1f %% of variance)',Val2_var)) str_ind=1; for i=1:size(x,1) text(x(i),y(i),h(str_ind:str_ind+4),'HorizontalAlignment','right','VerticalAlignment','bottom','FontSize',6,'Rotation',270) str_ind=str_ind+5; end 

## Systat source code for linear regression analysis REGRESS use 'D: \ ECOSILENCER_DATEN \ Daten \ Pn5_161104 \ reg_5 \ punkte.syd' PRINT = LONG MODEL P02 = P01 ESTIMATE PLOT P01*P02 / SMOOTH=LINEAR CONFI=0.9500