## Environmental solutions delivered uncommonly well Anadarko Petroleum Corporation

A IR 

## Q UALITY 

## D ISPERSION 

## M ODELING 

## A NALYSIS 

## R EPORT 

## B LACK 

## H AWK 

## EGOM D RILLING 

## , C OMPLETION 

## , AND 

## M AINTENANCE 

## P ROJECT

Prepared	By:

TRINITY CONSULTANTS 301	Main	Street,	Suite	900 Baton	Rouge,	LA	70825 (225)‐346‐4003

August	2013

Project No. 131901.0020Anadarko Petroleum Corpor ation Trinity Consultants 

## TABLE OF CONTENTS

1. INTRODUCTION 1-1 1.1. Modeling Methodologies

............................................................................................................................... ...... 1

‐ 2 1.2. Air Quality Analysis Results

............................................................................................................................... 1

‐ 3



### 2. REPRESENTATION OF MODELED SOURCES 2-1 2.1. Emissions Sources and Potential to Emit

....................................................................................................... 2

‐ 1 2.2. Q/D Analysis

............................................................................................................................... ............................. 2

‐ 2 2.3. Modeled Parameters

............................................................................................................................... ............. 2

‐ 2 2.4. PM Emissions Speciation

............................................................................................................................... ...... 2

‐ 4



### 3. CLASS I AIR QUALITY DISPERSI ON MODELING REQUIREMENTS 3-1 3.1. Class I Area PSD Increment

............................................................................................................................... . 3

‐ 1 3.1.1. Deposition

............................................................................................................................... ..................................................... 3

‐ 3 3.1.2. Visibility

............................................................................................................................... ......................................................... 3

‐ 4 3.1.3. October 2010 FLAG Phase I Revised Report ‐ Calpost (“Method 8”)

................................................................... 3

‐ 5 3.1.4. Ozone

............................................................................................................................... ............................................................... 3

‐ 8



### 4. CLASS II AIR QUALITY DISPERSI ON MODELING REQUIREMENT 4-1 4.1. PSD Signinficant Analysis

............................................................................................................................... ..... 4

‐ 1 4.1.1. Pre ‐ Construction Monitoring Analysis

........................................................................................................................... 4

‐ 2 4.1.2. Special Considerations for PM 2.5 

### ............................................................................................................................... .......... 4

‐ 3 4.2. Additional Impacts Analysis

.............................................................................................................................. 4

‐ 6 4.2.1. Growth analysis

............................................................................................................................... .......................................... 4

‐ 6 4.2.2. Soils and vegetation analysis

............................................................................................................................... ................ 4

‐ 6 4.2.3. Visibility analysis

............................................................................................................................... ........................................ 4

‐ 6



### 5. CLASS I AND II AREA MO DELING METHODOLOGY 5-1 5.1. Model Selection

............................................................................................................................... ....................... 5

‐ 1 5.2. Modeling Domains

............................................................................................................................... .................. 5

‐ 1 5.3. Receptor Locations

............................................................................................................................... ................ 5

‐ 3 5.3.1. Receptors locations for Class I areas

............................................................................................................................... . 5

‐ 3 5.3.2. Receptors locations for Class II areas

............................................................................................................................... 5

‐ 4 5.4. Terrain Processing FOR CLASS II Analysis

.................................................................................................... 5

‐ 4 5.5. Building Downwash

............................................................................................................................... ............... 5

‐ 4 5.6. CALMET Meteorological Processing

................................................................................................................ 5

‐ 4 5.7. CALPUFF Model Processing

............................................................................................................................... . 5

‐ 5 5.7.1. Ozone

............................................................................................................................... ............................................................... 5

‐ 5 5.7.2. Ammonia

............................................................................................................................... ........................................................ 5

‐ 6 5.8. CALPOST Postprocessing Analysis

................................................................................................................... 5

‐ 6



### 6. SUMMARY OF DISPERSION MODELING RESULTS 6-1 6.1. Class I Area PSD Increment Results

................................................................................................................. 6

‐ 1 6.2. Deposition

............................................................................................................................... ................................. 6

‐ 2 6.3. Visibility

............................................................................................................................... .................................... 6

‐ 2 6.4. Class II Area PSD SIL Results

.............................................................................................................................. 6

‐ 4 6.4.1. Ozone Impact Analysis

............................................................................................................................... ............................. 6

‐ 4 6.5. Additional Impact Analysis

............................................................................................................................... . 6

‐ 6 6.5.1. Growth analysis

............................................................................................................................... .......................................... 6

‐ 6Anadarko Petroleum Corpor ation Trinity Consultants 

### 6.5.2. Soils and vegetation analysis

............................................................................................................................... ................ 6

‐ 6 6.5.3. Visibility Analysis

............................................................................................................................... ....................................... 6

‐ 7



### APPENDIX A: AREA MAP AND WORST-CASE DRILLSHIP LOCATION RELATIVE TO CLASS I AREAS

APPENDIX B: WORST-CASE DRILLSHIP AND SUPPLY BOAT LOCATION RELATIVE TO CLASS II AREA

APPENDIX C: LIST OF ALL LEASE BLOCKS WITHIN THE WEDGE

APPENDIX D: MODEL INPUT PARAMETERS

APPENDIX D1: CLASS I MODEL INPUT PARAMETERS

APPENDIX D2: CLASS II MODEL INPUT PARAMETERS

APPENDIX E: MODEL FILES ON DVD

APPENDIX F: Q/D ANALYSIS SUMMARY

APPENDIX G: SUMMARY OF EMISSION ESTIMATES

APPENDIX H: WORST- CASE DRILLSHIP AND SUPPLY BOAT LOCATIONAnadarko Petroleum Corpor ation Trinity Consultants 

## LIST OF FIGURES

Figure	2‐1.		Particulate	Matter	Speciation	 2‐4

Figure	5‐1.		VISTAS	RHR	Model	Domains	 5‐2Anadarko Petroleum Corpor ation Trinity Consultants 

## LIST OF TABLES

Table	1‐1.		Location	of	Anadarko’ s	Project	Lease	Blocks	Relativ e	to	Class	I	Areas	 1‐1

Table	1‐2.		Location	of	Anadarko’ s	Project	Lease	Blocks	Relativ e	to	Class	II	Areas	 1‐2

Table	2‐1.		Emission	R ates	Comparison	 2‐1

Table	2‐2.		Worst‐Case	Modeled	Lo cations	for	the	Drillship	 2‐3

Table	2‐3.		Worst‐Case	Modeled	Lo cations	for	the Supply	Boats	 2 ‐3

Table	2‐4.		Stack	Parameters for	Proposed	Operations	 2‐4

Table	2‐5	Drillship	PM	S peciation	Summary	 2‐5

Table	2‐6.		Supply	Boat	PM	Speciation	Summary	 2‐6

Table	2‐7.		Geometric	Dimensions	for	PM	Species	 2‐6

Table	3‐1.		Class	I	Area	PSD	Inc rements	and	Modeling	SILs	 3‐1

Table	3‐2.		Modeled	E mission	Rates	 3‐2

Table	3‐3.		Monthly	f S 

### (RH),	f L 

### (RH)	and	f SS 

### (RH)	for	Breton	NWR	 3‐6

Table	3‐4.		Monthly	f S 

### (RH),	f L 

### (RH)	and	f SS 

### (RH)	for	St.	Marks	NWR	 3‐7

Table	3‐5.		Annual	Average	Backg round	Values	for	Breton	&	St.	M arks	 3‐7

Table	4‐1.		Applicable	PSD Air	Quality	Levels	 4‐1

Table	5‐1.		Vertical	Grid	Structure	 5‐3

Table	6‐1.		Air	Dispersion	Modeli ng	Results	‐	Class	I	Area	SILs 6‐1

Table	6‐2.		Nitrogen	and	Sulfur	Deposition	 6‐2

Table	6‐3.		Method	8	‐	98th	Percentile	Extinction	Change	For	Dr illing	Operations	 6‐3

Table	6‐4.		Air	Dispersion	Mode ling	Results	‐	Class	II	Area	SIL s	 6‐4

Table	6‐5.		2008	Emissions	of	NO x 

### and	VOCs	from	Point	Sources	in	the	Gulf	of	Mexico	 6‐5

Table	6‐6.		State‐	Level	Total	NO x 

### Emissions	for	Gulf	States	in	the	2008	NEI	 6‐6

Table	6‐7	Level	I	VISCREEN	Ana lysis	Input	Emission	Rates	 6‐7

Table	6‐8	Level	I	VISCREEN	A nalysis	Input	Parameters	 6‐8Anadarko Petroleum Corpor ation Trinity Consultants 

### Table	6‐9	Level	I	VISCR EEN	Analysis	Results	 6‐8Anadarko Petroleum Corporat ion 1-1 Trinity Consultants 

## 1. INTRODUCTION

Anadarko	Petroleum	Corporation	(Anadarko)	is	applying	for	a	pre ‐construction	and	operating permit	for	conducting	explorator y	drilling	activ ities	on	the	Ou ter	Continental	Shel f	(OCS)	of	the	Gulf of	Mexico	(GOM).		The	proposed	project	will	consist	of	the	init ial	drilling	phase,	a	well	completion phase	and	a	maintenance	operation phase.	The	exploratory	drilli ng	activity	is	planned	to	be conducted	at	various	lease	block s	within	the	“wedge”	using	a	dy namically	positioned	drillship BlackHawk	and	associated	support vessels	in	the	EGOM.		A	map	ou tlining	the	EGOM	“wedge”	is provided	in	the	Section	1	of	thi s	report.		A	list	of	all	the	le ase	blocks	contained	w ithin	the	“wedge”	is presented	in	Appendix	C.

As	discussed	previously	in	this report,	the	proposed	OCS	source will	be	subject	to	requirements	of the	PSD	program.		The	PSD	rev iew	will	be	required	for	PM 10 

### ,	PM 2.5 

### ,	NO X 

### ,	VOC,	GHGs,	and	CO.		Air quality	modeling	analy ses	of	impacts	on	federally	protected	Cla ss	I	areas	are	an	essential	component of	PSD	review,	and	are	performed to	demonstrate	compliance	with PSD	Class	I	area	Increment standards	and	AQRV.		Additionall y,	as	a	part	of	the	PSD/Title	V application	for	a	5‐year	permit,	an	air quality	modeling	analysis	needs to	demonstrate	that	the	propose d	project	will	not:

cause	or	significantly	contribute	to	a	violation	of	the	Nationa l	Ambient	Air	Qu ality	Standards (NAAQS); cause	ambient	concentrations	t hat	exceed	PSD	Increments,	or cause	any	other	adverse	impacts to	the	surrounding	area	[i.e.	i mpacts	on	soil	and	vegetation, visibility	degradation,	etc.].

This	air	dispersion	mo deling	analysis	report	has	been	prepared to	demonstrate	compliance	with PSD	Class	I	area	Increm ent	standards	and	AQ RV	thresholds	in	the three	federally	protected	Class	I areas	located	within	300	kilomet ers	(km)	of	the	project	lease	b locks,	as	summarized	in	Table	1‐1. Anadarko	has	identified	all	leas e	blocks	currentl y	available	fo r	drilling	operation s	in	EGOM	within the	“wedge”	and	has	determined	w hich	of	these	le ase	blocks	are closest	to	nearby	Cl ass	I	and	Class	II areas.	The	Class	I	areas	bein g	considered	are	as	follows:

1. Breton	National	Wildlife Refuge	(Breton	NWR), 2. St.	Marks	National	Wildlife Refuge	(St.	Marks	NWR),	and 3. Bradwell	Bay	Wilderness	Area.

Table 1

‐ 1. Location of Anadarko’s Project Lease Blocks Relative to Class I Areas

Class I Area, State Distance (km) Direction Federal Land Manager Breton	National	Wildlife	Refuge,	LA (Breton	NWR) 167	 NW	 U.S.	Fish	&	Wildlife	Service	(FWS)

St.	Marks	National Wildlife	Refuge, FL	(St.	Marks	NWR) 285	 NE	 U.S.	Fish	&	Wildlife	Service	(FWS)

Bradwell	Bay	Wilderness,	FL 281 NE	 U.S.	Forest	Service	(FS)Anadarko Petroleum Corporat ion 1-2 Trinity Consultants 

### This	air	dispersion	mo deling	analysis	repor t	is	provided	to	the FLM	for	each	Class	I	area	listed	in Table	1‐1,	as	well	as	to	the	U.S. EPA	Region	4	for	review	as	pa rt	of	the	PSD	application	review process. To	assess	the	impacts	of	the	pro posed	project	on	the	nearest	Cl ass	II	area,	the	Cla ss	II	area	receptors were	established	25	nautical	mil es	from	the	nearest	correspondi ng		state’s	seaward	boundary extending	shoreward.		Specifica lly,	these	Class II	area	recepto rs	were	positioned	a t	the	boundary separating	the	Inner	and	Outer	OC S.		For	this	project	the	neare st	Class	II	area	receptor	is	more	than 50	km	from	the	closest	drilling	l ocation	as	summarized	below	in Table	1‐2.

Table 1

‐ 2. Location of Anadarko’s Project Lease Blocks Relative to Class II Areas

Class II Area, State Distance (km) Direction US EPA

Inner/Outer	OCS	Boundary	 94.9	 NW	 US	EPA	Region	4



## 1.1. MODELING METHODOLOGIES Air	quality	modeling	analyses	of impacts	on	federally	protected Class	I	areas	are	an	essential component	of	PSD	review,	and	are performed	to	demonstrate	compl iance	with	PSD	Class	I Increment	standards	and	AQRV	th resholds	for	regional	haze	and	d eposition.		In	accordance	with 40	CFR	52.21(p),	“ the Federal Land Manager (FLM) has an affirmative responsibility to protect the air quality related values (AQRVs) (including visibility) of Class I areas, and to consider whether a proposed major emitting facility will have an adverse impact on such values .”		Therefore,	the	FLM	has the	authority	to	request	that	pr oposed	PSD	major	sources	perfor m	Class	I	area	modeling	to demonstrate	that	the	AQRVs	of	Cl ass	I	areas	are not	adversely	a ffected.

Based	on	discussions	between	Trini ty	and	the	FLMs	for	Breton	NW R,	St.	Marks	NWR,	and	Bradwell Bay	Wilderness,	Class	I	area	mod eling	analyses	were	performed	t o	demonstrate	that	the	proposed project	will	not	adversely	impact the	AQRVs	at	any	of	the	three Class	I	areas. 1 

### Class	I	area	modeling analyses	were	also	performed	to	d emonstrate	that	the	proposed	p roject	will	not	cause	or	contribute to	any	violations	of	allowable	PSD	Increments	within	affected	C lass	I	areas.		The	CALPUFF	air dispersion	modeling	system	was	us ed	for	the	modeling	analysis. The	CALPUFF	air	dispersion modeling	system	is	currently	the U.S.	EPA	recommended	model	for assessment	of	long‐range pollutant	transport	and	c hemical	transformation. 2



### This	modeling	analysis has	been	completed	i n	a	manner	that	conf orms	to	the	applicable	rules	and guidance	documents	for	Class	I	and	Class	II	area	air	dispersion modeling.		The	methodology	and	data resources	used	for	conducting	thi s	modeling	analysis	were	discu ssed	with	the	FLMs	for	Breton NWR,	St.	Marks	NWR,	and	Bradwell Bay	Wilderness	vi a	email	and	p hone	conversations	and	were approved	by	all	FLMs.		The	mode ling	methodologies	were	also	dis cussed	via	emai l	and	phone

1 Based on Personal Communication: Phone conversation between Ms. Jill Webster (FWS) and Mr. Rahul Pendse (Trinity) on October 12, 2012; E-mail from Ms. Jill Webste r (FWS) to Mr. Dhesikan Venkatesan (Trinity) sent on October 10, 2012; E-mail correspondence between Mr. Ra hul Pendse (Trinity), Ms. Ji ll Webster (FWS) and Ms. Melanie Pitrolo (FS) sent on August 15, 2013, and Phone conversation between Ms. Melanie Pitrolo (FS) and Mr. Rahul Pendse (Trinity) on August 15, 2013.

2 40 CFR Part 51, Appendix A to Appendix W (Revised, November 9, 2005).Anadarko Petroleum Corporat ion 1-3 Trinity Consultants 

### conversations	with	U.S.	EPA	Reg ion	4	and	have	been	approved	the re	upon. 1,3 

### Input	parameters used	in	this	analysis	are presented	in	Appendix	D.

The	modeling	methods	used	in	thi s	analysis	have	been	developed based	on	guidance	provided	in	the following	documents: U.S.	EPA:	Guideline	on	Air	Quality	Models,	40	CFR	Part	51	‐	App endix	W	(Revised,	November	9, 2005)	(referred	to	hereafter	as	Guideline), The	applicable	guidance	memorand um	from	Support	Center	for	Atmo spheric	Modeling	(SCRAM) website,	the Draft New Source Review Workshop Manual 4 

### , The	Interagency	Workgroup	on	A ir	Quality	Modeling	(IWAQM) Phase 2 Summary Report 5 

### , Reassessment	of	the	Interagency Workgroup	on	Air	Quality	Modeli ng	(IWAQM)	Phase	2 Summary	Report:	Revisions	to	Ph ase	2	recommendations(Draft	2009 report) 6 

### , The	Federal	Land	Managers’	Air	Q uality	Related	Values	Workgroup (FLAG) Revised Phase I Report (FLAG	2010	report) 7 

### , The	U.S.	EPA’s	Guidance	for	Esti mating	Natural	Visibility	Condi tions	under	the Regional	Haze Rule 8 

### , The	U.S.	EPA’s	Regional	Haze	Regulations	and	Guidelines	for	Bes t	Available	Retrofit	Technology (BART)	Determinations 9 

### , Previous	communications	between	Trinity	and	EPA	Region	4, 10 

### and	Previous	communications between	Trinity	and	the	FLM	f or	the	three	Class	I	areas.



## 1.2. AIR QUALITY ANALYSIS RESULTS

The	results	of	the	air quality	dispersion	modeling	analyses	pre sented	in	this	report	can	be summarized	as	follows: The	proposed	project	will	not	ca use	adverse	impacts	to	the	ambi ent	air	quality	in	Class	I	areas based	on	the	Class	I	area	PSD	I ncrement	analysis completed	for the	three	Class	I areas	that	are located	within	300	kilometers	fro m	the	project’s	worst‐case	lea se	blocks	‐	Breton	NWR,	St. Marks	NWR,	and	Bradwell	Bay	Wild erness.		The	modeled	concentrat ions	for	NO X 

### (annual averaging	period),	PM 2.5 

### (24‐hour	and	annual	averaging	periods)	and	PM 10 

### (24‐hour	and	annual averaging	periods)	were	all	less than	their	corresponding	signi ficant	impact	levels	(SILs). The	proposed	project	will	not	ca use	adverse	impacts	to	AQRV	in the	three	Class	I areas	based	on analysis	conducted	as	follows:

3 Based on Personal Communication: Phone conversation between Mr. Stanley Krivo (EPA Region IV) and Mr. Rahul Pendse (Trinity) on October 10, 2012, July 9, 2013 and August 15, 2013; and E-mail correspondence between Mr. Stanley Krivo (EPA Region IV) and Mr. Rahul Pendse (Trinity) sent on October 11, 2012, July 10, 2013 and August 15, 2013, respectively.

4 EPA’s New Source Review Work shop Manual (DRAFT) (1990).

5 U.S. EPA, IWAQM Phase 2 Summary Report and Recommendations for Modeling Long-Range Transport Impacts

, Research Triangle Park, North Carolina, EPA-454/R-95-006, December 1998. 6 U.S. EPA, Reassessment of IWAQM Phase 2 Summary Report: Revisions to Phase 2 Recommendations , Research Triangle Park, North Carolina, EPA-454/R-09-XXX, May 2009 Draft. 7 U.S. Forest Service – Air Quality Progr am, National Park Service – Air Resources Division, U.S. Fish and Wildlife Service – Air Quality Branch , Phase I Report of the Federal Land Managers’ Air Quality Related Values Workgroup (FLAG)--Revised, 2010. 8 U.S. EPA, Guidance for Estimating Natural Visibility Conditions under the Regional Haze Rule , September 2003. 9 U.S EPA, Regional Haze Regulations and Guidelines for Best Available Retrofit Technology (BART) Determinations, July 6, 2005. 10

Based on Personal Communication: Phone conversation between Mr. Stan Krivo (EPA Region 4) and Mr. Rahul Pendse (Trinity) on September 21, 2012.Anadarko Petroleum Corporat ion 1-4 Trinity Consultants 

###  Visibility	and	deposition	analysi s	(for	nitrogen	(N)	and	sulfur (S))	completed	for	Breton NWR	and	St.	Marks	NWR.

 Deposition	analysis	(for	N	and	S )	and	qualitative	ozone	analysi s	conducted	for	Bradwell	Bay Wilderness.

The	proposed	project	will	not	ca use	or	significantly	contribute to	a	violation	of	the	NAAQS; cause	ambient	concentrations	tha t	exceed	PSD	Increments,	or	cau se	any	other	adverse	impacts to	the	surrounding	areas	[i.e.	im pacts	on	soil	and	vegetation, visibility	degradation,	etc.]	based on	the	Class	II	area	modeling	analysis	conducted	at	the	Inner/O uter	OCS	boundary	which	is located	25	nautical	miles	from	nearest	state	seawards	boundarie s.		The	modeled	concentrations for	CO	(1‐hour	and	8‐hour),	PM 10 

### (24‐hour),	PM 2.5 

### (24‐hour	and	annual),	and	NO 2 

### (1‐hour	and annual)	were	all	less than	their	correspond ing	Class	II	SILs.

An	electronic	data	storage	disc contains	all	relevant	model	inp ut	and	output	files for	the	Class	I	and Class	II	area	modeling	analysis	i s	enclosed	with	this	report. Refer	to	Appendix	E	for	a	list	of	all	files included	on	the	disc.

The	remainder	of	this modeling	report	is	o rganized	as	follows: Section	2	provides	a	brief	descr iption	of	the	representation	of the	modeled	sources, Section	3	describes	the	modeling analyses	and	procedures	that	a re	required	to	be	conducted	as part	of	Class	I	area	modeling for	PSD	permit	applications, Section	4	describes	the	modeling analyses	and	procedures	that	a re	required	to	be	conducted	as part	of	Class	II	area modeling	for	PSD	p ermit	applications, Section	5	describes	the	selectio n	of	an	appropriate	air	dispers ion	model	and	the inputs	required for	the	chosen	model	for	the	Cla ss	I	and	Class	II area	modeling analysis, Section	6	provides	the	dispersio n	modeling	results	for	the	Clas s	I	and	Class	II	area	air	quality analysis, Appendix	A	includes	an	area	map	s howing	the	worst‐case	location of	the	drillship relative	to	the Class	I	areas, Appendix	B	includes	the	worst‐ca se	drillship	and supply	boat	lo cation	used for	the	air dispersion	modeling, Appendix	C	includes	a	list	of	al l	lease	blocks	contained	within the	“wedge”, Appendix	D	includes	model	input parameters	used	in	this	analysi s, Appendix	E	includes	a	list	of	al l	files	included	on	the	enclose d	disc, Appendix	F	includes	a	copy	of	the	Q/d	analysis	described	in	Sec tion	2	is	presented	in	of	this modeling	report, Appendix	G	includes	a	summary	of	the	proposed	maximum	hourly,	d aily,	and	annual	emissions, and Appendix	H	includes	calculations for	the	worst‐case	location	of the	drillship	and	supply	boat.Anadarko Petroleum Corporation 2-1 Trinity Consultants 

## 2. REPRESENTATION OF MODELED SOURCES

2.1. EMISSIONS SOURCES AND POTENTIAL TO EMIT The sources of emissions for the proposed project primarily consist of internal combustion engines, painting operation, welding operation, dust collectors, mud-degassing, water blasting operation, miscellaneous equipment, and fuel storage tanks. For the support vessels, the only emission sources are internal combustion engines and fuel storage tanks. Anadarko will use the “worst

- case” potential- to -emit scenario among all the operating scenario discussed in the Section 3 for assessing air quality impacts to demonstrate compliance with the Class I Increments, AQRVs and Class II SILs. This will give Anadarko the flexibility to drill and operate at any location within the worse-case lease block (nearest to respective Class I and Class II areas) or at any other location further away from a Class I area within the “wedge.”

As described in the Section 3 of this report, the project includes six possible operating scenario or an equivalent combination thereof. Refer to Section 3 for the details of each operating scenario and the proposed air emission sources and their operating conditions associated with it.

Among all the support vessels, the supply boats will be very frequently used. All other support vessels such as well evaluation vessels, stimulation vessels, tugs, and barges, will be used in a specific operating scenario. Moreover, the supply boats generate higher emissions when they are in transit arriving/departing from t he drill ship than emissions generated when the supply boats are located adjacent to the drill ship during loading/unloading operations. The other support vessels generally generate more emissions during performing operations in the vicinity of the drill ship when compared against the emissions generated during their transit. Hence, placing a supply boat source at a distance of 25 nautical miles from the worst-case drillship location in the direction of nearest receptor should represent the worst case support vessel emission scenario for air dispersion modeling analysis. The worst-case support vessels emissions (i.e., supply boats with highest PTE) were utilized for this modeling analysis.

For performing air dispersion analysis, maximum total emissions (i.e., sum of the drillship and supply boat emissions) for each pollutant were considered. Table 2-1 compares the emissions from different operational scenarios and modeled emission rates. The modeled emission rates represent the worst case combination among the different operating scenario.

Table 2-1

. Emission Rates Comparison

Pollutant Source Emission Rates (lb/hr)

Model ed Gas Flowbac k Scenario Oil

Flowback Scenario Stimulat

ion Vessel Scenario General

Well Completi

on Scenario Well

Evaluatio

n Vessel Scenario Drilling

NO x 

### S upply

Boats 84 41 41 41 8 2 4 1 82 

### D rill ship 540 566 582 5 75 513 573 534 

### Total 624 607 623 616 595 614 617 

### PM 10 

### Supply 3 1 1 1 2 1 2Anadarko Petroleum Corporation 2-2 Trinity Consultants



### Pollutant Source Emission Rates (lb/hr)

Model ed Gas Flowbac k Scenario Oil

Flowback Scenario Stimulat

ion Vessel Scenario General

Well Completi

on Scenario Well

Evaluatio

n Vessel Scenario Drilling

Boats Drill ship 27 26 26 13 9 12 10 

### Total 30 27 25 14 11 13 12



### SO 2 

### Supply

Boats 0.5 <0.1 < 0.1 <0.1 0.1 < 0.1 <0. 1 Drill ship 1.5 <2 < 1 <0 .5 0.4 0.4 0.4 Total 2 <2 < 1 <0.5 2 0 .5 0 .5

CO Supply

Boats 100 24 24 24 48 24 48 Drill ship 1,000 1,06 1 779 1 91 1 77 1 81 1 82 Total 1,100 1,086 8 04 215 225 205 2 32



## 2.2. Q/D ANALYSIS Anadarko has completed a Q/d calculation to assess potential impacts of the proposed drilling and well completion operations on the nearest Class I area. The Q/d analysis compares the ratio of the sum of proposed annualized maximum 24-hour emission rates of all visibility impairing pollutants (in tons per year) and the distance to the nearest Class I area (in km) to a threshold value of 10, as determined by the FLM. The “Q” is the combined emissions increase from a source of SO 2 

### , NO X 

### , PM 10 

### , and H 2 

### SO 4 

### in tons per year (tpy) based on the maximum hourly emissions and “d” is the nearest distance to a Class I area in km from the source. 11 

### Emissions from sources that operate intermittently or seasonally will be adjusted to account for year round operation. Th e emissions represented in the Q/d analysis are conservatively based on the highest emissions between the drilling and well completion operations. Based on the results, a Class I area AQRV analysis is required for the project because the Q/d ratio for the proposed source is greater than 10. A copy of the Q/d analysis is provided in Appendix F.



## 2.3. MODELED PARAMETERS As mentioned previously, Anadarko is requesting the flexibility to drill and complete one or more wells in any of the lease blocks within the “wedge” while complying with any operational and emission limitations prescribed in the air permits that will be issued. Therefore, the Class I area modeling analysis was performed for each Class I area with the drillship assumed to be located at the closes t point within the “wedge” of the project (worst -case location) to the Class I areas.

For Breton-NWR, the NW corner of the Desoto Canyon lease block 141 was determined to be the worst-case drillship location. For St. Marks NWR and Bradwell Bay Wilderness, the NE corner of the Desoto Canyon lease block 149 was determined to be the worst-case drillship location. Similarly,

11 U.S. Forest Service

– Air Quality Program, National Park Service

– Air Resources Division, U.S. Fish and Wildlife Service

– Air Quality Branch , Phase I Report of the Federal Land Managers’ Air Quality Related Values Workgroup (FLAG)

-- Revised, 2010.Anadarko Petroleum Corporat ion 2-3 Trinity Consultants 

### modeling	analysis	was	performe d	for	the	Class	II	receptors		est ablished	25	nautical	miles	from nearest	corresponding		state’s	sea ward	boundary,	extending	shor eward.		The	locations	of	the associated	support	also	can	affe ct	the	impacts	at	the	receptors

.

The	calculations	for	the	worst‐c ase	location	of	the	drillship	a re	presented	in	Appendix	H.		Table	2‐2 and	summarizes	the	coordinates	of the	worst‐case	drillship	loca tions	for	the	three closest	Class	I areas	and	a	Class	II	area.		Table	2‐3	provides	the	distances	of the	nearest	receptor	from	the	worst‐ supply	boat	locations.

Table 2

‐ 2. Worst

‐ Case Modeled Locations for the Drillship

Modeling Impact Areas Worst

‐ case Drillship Location (NAD 83) Minimum Distance (km) Latitude (deg) (North) Longitude (deg) (West) Breton	NWR	 28.85298	 87.52278	 167 St.	Marks	NWR		 28.85397	 86.68162559	 285 Bradwell	Bay Wilderness 28.85397	 86.68162559	 281 Class	II	(Inner/Outer OCS	Boundary) 28.85298	 87.52278	 94.90

Table 2

‐ 3. Worst

‐ Case Modeled Locations for the Supply Boats

Modeling Impact Areas Worst

‐ case Supply Boat Location (NAD 83) Minimum Distance (km) Latitude (deg) (North) Longitude (deg) (West) Nearest	Class	II Receptor	(Inner/Outer OCS	Boundary) 29.243385 87.5435355 48.6

St.	Marks	NWR	 29.2229722	 86.9505536	 55.07

Anadarko	has	modeled	the	PM 10 

### ,	PM 2.5 

### ,	and	NO X 

### emissions	from	the	worst‐c ase	drillship	location assuming	that	all	emissions	woul d	be	emitted	through	a	single	s tack	on	the	drillship.		This	approach results	in	concentratin g	the	exhaust	throug h	the	single	stack	a nd	hence,	results	in	the	worst	case dispersion	modeling	scenario.		The stack	parameters	for	this	si ngle	stack	were	based	on	the	stacks associated	with	the	main	engines on	the	drillshi p,	which	are	th e	largest	sources	of	emissions	from the	proposed	operations.		A	simi lar	source	characteristic	appro ach	was	utilized	for	the	modeling	the worst‐case	supply	boat	emissions.

The	stack	gas	exit	velocity	was calculated	based	on	the	CFD	ana lysis	performed	on	the	main	engines. Similarly,	as	a	conservative	esti mate	the	lowest	temperature	me asured	across	all	operating	loads from	the	IMO	performanc e	test	data	was	used	in	the	modeling	ana lysis. 12 

### The	stack	height

12

Based on Personal Communication: Phone conversation between Mr. Stanley Krivo (EPA Region IV) and Mr. Rahul Pendse (Trinity) on October 10, 2012.Anadarko Petroleum Corporat ion 2-4 Trinity Consultants 

### represents	the	height	above	the	s ea	level	(water	line)	to	the	m ain	engine	stack.			A	similar	approach was	utilized	for	obtaining	the	w orst‐case	supply	boat	model	inp ut	parameters.		A	summary	of	the stack	parameters	used	in	the	mod eling	analysis	is	presented	in Table	2‐4.

Table 2

‐ 4. Stack Parameters for Proposed Operations

Source Stack Height * (m) Stack Inside Diameter (m) Stack Gas Exit Velocity (m/sec) Stack Gas Temperature (K) Drillship	 28.60	 1.1	 20.3	 593 Supply	Boat	 5	 0.706	 0.64	 293 *	The	stack	height	represents the	height	above	the	sea	leve l	(water	line).



## 2.4. PM EMISSIONS SPECIATION Modeling	of	visibility	impairmen t	due	to	PM	emi ssions	requires that	the	components	of	the	exhaust stream	be	speciated	because	diff erent	sizes	and	ph ases	of	parti culate	matter	affect	visibility	to varying	extents.		The	amount	by	which	a	mass	of	a	certain	speci es	scatters	or	absorbs	light	is	termed the extinction efficiency or extinction coefficient ,	and	varies	considerably from	coarse	particulate matter	to	elemental	carbon.		Fin e	particulate	matter	and	organi c	aerosols	scatter	light	with intermediate	efficiencies,	and	a mmonium	sulfate	and	ammonium	ni trate	(that	form	from	precursor SO 2 

### and	NO X 

### emissions	in	the	presence	of	am bient	ammonia)	are	hygroscopic species	that	scatter light	efficiently	in	t he	presence	of	ambient	water	vapor.		Figu re	2‐1depicts	the	speciation	of visibility‐affecting	pollutant	e missions	as	represented	in	the VISTAS BART Modeling Protocol

. 13



### Figure 2

‐ 1. Particulate Matter Speciation

13

VISTAS; Protocol for the Application of the CALPUFF Model for Anal yses of Best Available Retrofit Technologies (BART) , Revision 3.2 (August 31, 2006), Figure 4-3. http://www.vistassesarm.org/documents/BARTModelingProtocol_rev3.2_31Aug06.pdfAnadarko Petroleum Corporat ion 2-5 Trinity Consultants 

### Anadarko	estimated	speciated	PM emissions	associated	with	the	p roposed	operations	based	on	the AP‐42	emission	factors,	manufact urer	provided	data,	and	conserv ative	engineering	estimates.

Total	PM 10 

### (TPM 10 

### )	emissions	from	the	drillship	w ere	calculated	as	the	summation of	TPM 10 

### emissions	from	all	emission	s ources	on	the	drillship.		TPM 10 

### emissions	for	the	individual	emission sources	on	the	drillship	were	calc ulated	as	the	sum	of	filterab le	PM 10 

### (FPM 10 

### )	emissions	and condensable	particulate	emission s	(CPM).		As	described	in	Secti on	2.1	of	this	report,	the	emission sources	used	for	the	proposed	pr oject	will	prima rily	comprise	o f	large	diesel	fired	engines. Although	the	drillship	will	also	have	a	few	small	diesel‐fired engines,	the	large	diesel‐fired	engines will	contribute	a	vast	majority of	the	emissions	from	the	propo sed	drilling	operations.		Therefore, Anadarko	used	the	particle	size‐ specific	emission	factors	for	l arge	diesel	fired	engines	from	AP‐42	to speciate	TPM 10 

### into	FPM 10 

### and	CPM. 14 

### Filterable	particulat e	less	than	3	μm	was used	as	a	surrogate for	filterable	PM 2.5 

### (PMF).		No	representative	data or	emission	factors	were	availa ble	for determining	inorganic	(sulfates	(SO 4 

### )	and	nitrates	(NO 3 

### ))	condensable	emi ssions.		Therefore, inorganic	condensable emissions	from	the	d rillship	were	assumed to	be	zero.		Based	on	guidance provided	in	the Procedure for Speciation of Emissions for VISTAS BART Modeling ,	100%	of	non‐H 2 

### SO 4 

### condensable	particulate	mass	was assumed	to	be	organic	condensa ble	(OC). 15 

### The	percentage	of coarse	filterable	partic ulate	matter	(PMC)	in	TPM 10 

### was	calculated	as	the	d ifference	between	the percentages	of	FPM 10 

### and	filterable	PM 2.5 

### (PMF).		Consistent	with	the previous	modeling	reports submitted	to	EPA	Regio n	4	for	similar	projec ts,	an	elemental	ca rbon	was	assumed	to	be	0%	due	to lack	of	representative	dat a	or	emission	factors.

Table	2‐5	summarizes	the	particul ate	speciation	breakdown	as	a percent	of	total	PM 10 

### emissions, and	provides	the	maximum	pound	p er	hour	(lb/hr)	modeled	emissio ns	for	each	speciated	PM category	based	on	the	worst	case 1‐hour	averaging	period	for	th e	proposed	project.

Table 2

‐ 5 Drillship PM Speciation Summary

Emissions Speciation* Percentage (% of Total PM 10 

### ) Modeled Emissions lb/hr

Total PM 10 

### (TPM 10 

### ) 100% 27.00 

### Condensable portion of TPM 10 

### (CPM) 13.4% 3.63 

### Organic	portion of	CPM	(SOA)	 13.4% 3.63



### Inorganic	portion	of	CPM		 0.0% 0.00 

### Filterable portion of TPM 10 

### (FPM 10 

### ) 86.6% 23.37 

### Coarse	Filterable	(PMC)		 3.0% 0.80 

### Fine	Filterable	(PMF)		 83.6% 22.57 

### Elemental	Carbon	(EC)		 0.0% 0.00 *Values	in	italics	are	not	model ed	in	CALPUFF	directly,	but	ins tead	are	shown	for	informative	purposes.

14

AP-42, Table 3.4-2, Particulate and Particle-sizing Emission Fact ors for Large Uncontrolle d Stationary Diesel Engines (October 1996).

15 Procedure for Speciation of Emi ssions for VISTAS BART Modeling, July 18, 2006

.Anadarko Petroleum Corporat ion 2-6 Trinity Consultants 

### Table	2‐6	summarizes	the	particul ate	speciation	breakdown	as	a percent	of	total	PM 10 

### emissions, and	provides	the	maximum	pound	p er	hour	(lb/hr)	modeled	emissio ns	for	each	speciated	PM category	for	the	supply	bo at	associated	operations.

Table 2

‐ 6. Supply Boat PM Speciation Summary

Emissions Speciation* Percentage (% of Total PM 10 

### ) Modeled Emissions lb/hr

Total PM 10 

### (TPM 10 

### ) 100% 3.00 

### Condensable portion of TPM 10 

### (CPM) 13.4% 0.4 

### Organic	portion of	CPM	(SOA)	 13.4% 0.4



### Inorganic	portion	of	CPM		 0.0% 0.00 

### Filterable portion of TPM 10 

### (FPM 10 

### ) 86.6% 2.60 

### Coarse	Filterable	(PMC)		 3.0% 0.09 

### Fine	Filterable	(PMF)		 83.6% 2.51 

### Elemental	Carbon	(EC)		 0.0% 0.00 *Values	in	italics	are	not	model ed	in	CALPUFF	directly,	but	ins tead	are	shown	for	informative	purposes



### The	average	particle	di ameter	for	each	non‐d efault	speciated	pa rticulate	(PM)	category	(PMF,	PMC) was	taken	as	the	geometric	mass	mean	diameter	for	that	category

. 16 

### Geometric	standard	deviation was	assumed	to	be	zero	for	both PMC	and	PMF.		Default	CALPUFF	v alues	for	geomet ric	mass	mean diameter	and	geometri c	standard	deviation	were	used	for	SOA	par ticles.		A	summary	of	the geometric	mass	mean	diameter	and geometric	standard	deviation	i s	presented	in	Table	2‐7.

Table 2

‐ 7. Geometric Dimensions for PM Species

Species Geometric Mass Mean Diameter (microns) Geometric Standard Deviation (microns) Filterable	Coarse	Particles	‐	PMC (PM 3 

### to	PM 10 

### ) 6.5	 0.0

Filterable	Fine	Particles	‐	PMF (PM 0.5 

### to	PM 3 

### ) 1.75	 0.0

Organic	Condensable	PM	‐	SOA	 0.48	 2.0

16

Methodology used is in accordance with the methodology presented in Example Screening BART Simulation using the VISTAS Regional Domain , Earth Tech, Inc., Concord, Massachusetts, June 9, 2006, available online at - http://www.src.com/datasets/VISTAS_Fil es/ExampleBARTSimulation_Guide_R.pdfAnadarko Petroleum Corporat ion 3-1 Trinity Consultants 

## 3. CLASS I AIR QUALITY DISPERSION MODELING REQUIREMENTS

This	section	of	the	modeling	rep ort	describes	the	procedural	re quirements	for	assessing	the	impacts of	emissions	from	the	proposed operations	on	Breton	NWR,	St.	Ma rks	NWR,	and	Bradwell	Bay Wilderness.



## 3.1. CLASS I AREA PSD INCREMENT In	general,	all	PSD	permit	applic ations	are	required	to	demonst rate	through	air	quality	modeling that	the	emissions	increases	from the	proposed	project	will	not cause	or	contribute	to	any	violations of	allowable	increments	within	a ffected	Class	I	areas,	which	ar e	protected	to	a	greater	degree	(i.e., the	allowable	increments	are	lo wer)	than	Class	II	areas.		A	sig nificant	contributio n	to	Class	I	area Increment	consumption	is	defined as	a	modeled	concentration	in excess	of	the	SILs	summarized	in Table	3‐1,	which	were originally	developed as	part	of	the	1996 New	Source	Review	(NSR)	reform rulemaking	and	have	su bsequently	been	adopt ed	as	informal	model ing	SILs	for	Class	I	area	analyses that	are	used	to	determine	if	a	p roject	is	likely	to	cause	or	c ontribute	to	a	Class	I	area	Increment violation.

Table 3

‐ 1. Class I Area PSD Increments and Modeling SILs

Pollutant Averaging Period Class I Increment

(  g/m 3 

### ) Significance Level (  g/m 3 

### )

PM 10 

### 24‐hour	 8.0	 0.32 Annual	 4.0	 0.16 PM 2.5 

### 24‐hour	 2.0	 0.07 Annual	 1.0	 0.06

NO 2 

### *	 Annual	 2.5	 0.1

*	 On	 February	 9,	 2010,	 U.S.	 EPA	 Promulgated	 a	 NO 2 NAAQS	 for	 the	 1‐hr	 averaging	 period.	 	 However,	 a	 NO 2 PSD Increment	standard	 for	 the	1‐hr	averaging	period	was	not	establ ished	as	part	of	 this	action.		See	75	Fed.	Reg.	6474, Primary National Ambient Air Quality Standards for Nitrogen Dioxide (February	9,	2010). 

### Since	the	proposed	OCS	source	wi ll	have	potentia l	emissions	of NO X 

### ,	PM 2.5 

### ,	and	PM 10 

### in	excess	of	the PSD	SERs,	the	Class	I	area	PSD	I ncrement	analysis	was	completed for	each	of	these	pollutants. Consistent	with	the air	dispersion	modeling	report,	the	PM 2.5 

### modeling	analysis	was	conducted using	PM 10 

### ,	and	addressing	fully	speciated	PM 10 

### emissions	(discussed	in	S ection	2.4)	including	all species	that	contribute	to	PM 2.5 

### (e.g.,	fine	filterable	and condensable	PM	emissions). 17



### The	modeled	emission	rates	shown below	in	Table 3‐2,	were	conse rvatively	modeled	using	the maximum	hourly	PTE	rates	for	com parison	with	both	the	24‐hour	a nd	annual	averaging	period	SILs.

17

VISTAS, Protocol for the Application of the CALPUFF Model fo r Analyses of Best Available Retrofit Technology (BART) , Revision3.2, revised August 31, 2006. http://www.vistas-sesarm.org/documents/BARTModelingProtocol_rev3.2_31Aug06.pdfAnadarko Petroleum Corporat ion 3-2 Trinity Consultants 

### Table 3

‐ 2. Modeled Emission Rates

Pollutant Drillship Modeled Emission Rates (lb/hr) Supply Boat Modeled Emission Rates (lb/hr) Nitrogen	Oxides	(NO X 

### )	 540	 84

Sulfur	Dioxide	(SO 2 

### )	 1.5	 0.5 Organic	portion	of	CPM	(SOA)	 3.63	 0.4 Coarse	Filterable	(PMC)	 0.80	 0.09

Fine	Filterable	(PMF)	 22.57	 2.51 Carbon	Monoxide	(CO)	 1,000	 100

The	summaries	of	emissions	of	po llutants	applicable	to	this	mod eling	analysis	are	included	in Appendix	G	of	this	report.				Additionally,	all	NO X 

### emissions	were	conservatively	modeled	to represent	NO 2 

### emissions.		No	puff	depletion	du e	to	wet	or	dry deposition	was assumed	for determining	the	PM 2.5 

### ,	PM 10 

### and	NO X 

### concentrations	for	comparison	with	the	SILs.		Class	I	Area AQRV	Analyses The	FLAG	Phase	I	report	provides	t he	following	definitions	rela ting	to	AQRV: 18



### Air Quality Related Value –	A	resource,	as	identified	by the	FLM	for	one	or	more	Federal areas	that	may	be	adversely	impacted	by	a	change	in	air	quality .		The	resource	may include	visibility	or	a	specific	scenic,	cultural,	physical,	bi ological,	ecological,	or recreational	resource	identified	b y	the	FLM	for	a particular	ar ea.

Adverse Impact On Visibility –	Visibility	impairment	which	interferes	with	the management,	protection,	preserva tion,	or	enjoyment	of	a	visitor ’s	visual	experience	of the	Federal	Class	I	a rea	or	Class	II	area. This	determination must	be	made	on	a	case‐by‐ case	basis	taking	into	account	th e	geographic	extent,	intensity ,	duration,	frequency	and time	of	visibility	impairments, and	how	these	factors	correlate with	(1)	times	of	visitor use	of	the	Class	I	area,	and	(2) the	frequency	and	timing	of	na tural	conditions	that reduce	visibility.		This	term	doe s	not	include	effects	on	integ ral	vistas.		[40	CFR §51.301]

Adverse Impact on an AQRV –	An	unacceptable	effect,	as identified	by	an	FLM	that results	from	current,	or	would	res ult	from	predicted,	deteriora tion	of	air	quality	in	a Federal	Class	I	or	Class	II	area.		A	determination	of	unaccepta ble	effect	shall	be	made	on a	case‐by‐case	basis	for	each	area	taking	into	account	existing air	quality	conditions.		It should	be	based	on	a	demonstra tion	that	the	current	or	predicte d	deterioration	of	air quality	will	cause	or	contribute	to	a	diminishment	of	the	area’ s	national	significance, impairment	of	the	structure	and functioning	of	the	area’s	ecosy stem,	or	impairment	of the	quality	of	the	visitor experience	in	the	area.

18

U.S. Forest Service – Air Quality Program, National Park Service – Air Resources Division, U.S. Fish and Wildlife Service – Air Quality Branch , Phase I Report of the Federal Land Managers’ Air Quality Related Values Workgroup (FLAG)--Revised, 2010.

.Anadarko Petroleum Corporat ion 3-3 Trinity Consultants 

### AQRV	indicators	typically	identif ied	by	FLM	include	nitrogen	de position,	sulfur	deposition,	and visibility	degradation.		Based	on	discussion	with	FWS,	Anadarko performed	AQRV	analyses	for	all three	indicators	mentioned	above for	Breton	NWR	and	St.	Marks	N WR. 19 

### Based	on	guidance received	from	FS,	the	AQRV	analys is	for	Bradwell	Bay	Wilderness was	performed	for	nitrogen deposition,	sulfur	deposition,	and	ozone. 20 

### An	AQRV	analysis	for	visibility	at	Bradwell	Bay Wilderness	was	not	required. 21



### The	following	sections	provide	f urther	details	on	the	AQRVs	tha t	were	addressed	for	this	project.



### 3.1.1. Deposition In	the	deposition	analysis,	the contribution	of	Anadarko’s	prop osed	operations	to	the	deposition	of chemical	species	in	th e	Class	I	area	was	evaluated	against	the deposition	assessment	threshold (DAT)	values	for	sulfate	and	nitrate	set	by	the	FLM.		The	DAT	r epresents “the additional amount of N

or S deposition within a Class I area, below which estimated impacts from a proposed new or modified

source are considered insignificant.” The	threshold	is	not	necessarily an	adverse	impact	threshold and	coastal	ecosystems	have	evol ved	under	naturally	higher	sulf ur	deposition	rates.		FLM	guidance for	assessment	of	deposition	impa cts	suggests	that an	appropria te	sulfur	and	nitrogen	DAT	is	0.005 kg/ha/yr	and	0.01	kg/ha/yr	respe ctively,	for	Class	I	areas	in	t he	Eastern	United	States. 22



### The	procedures	specified	in	the FLAG	Phase	I	Report	(revised	20 10)	were	used	to	model	nitrogen and	sulfur	deposition. 23,	24 

### For	sulfur,	both	wet	and	dry	fluxes	of	SO 2 

### and	sulfates	(SO 4 

### )	were modeled.		The	sum	of	wet	and dry	deposition	fluxes	for	SO 2 

### and	SO 4 

### represents	the	total	sulfur deposition	as	show n	in	Equation	1.

Equation 1

Direct	SO 4 

### emissions	from	the	proposed	pr oject	are	very	small	(<0.01	lb/h r),	so	all	sulfur	in	the	fuel resulting	in	SO 2 

### emissions	alone	have	been modeled.		However,	SO 2 

### can	chemically	transform	into SO 4 

### over	time,	therefore,	wet	a nd	dry	fluxes	of	both	SO 2 

### and	SO 4 

### were	used	to	estimate	sulfur deposition.

19

Based on Personal Communication, Phone conversation between Ms. Jill Webster (FWS) and Mr. Rahul Pendse (Trinity) on October 12, 2012; and E-mail from Ms. Jill Webs ter (FWS) to Mr. Dhesikan Venkatesan (Trinity) sent on October 10, 2012. 20

Based on Personal Communication, Phone conversation between Ms. Melani e Pitrolo (FS) and Mr. Rahul Pendse (Trinity) on October 18, 2012.

21 Based on Personal Communication, Phone conversation between Ms. Melani e Pitrolo (FS) and Mr. Rahul Pendse (Trinity) on October 18, 2012, visibility has not been established as an AQRV for Bradwell Bay.

22

U.S. National Park Service (NPS) - Air Resources Division and U.S. Fish and Wildlife Service - Air Quality Branch, Interagency Guidance on Nitrogen and Sulfur Deposition Analyses , accessed on November, 2011 via NPS website - www.nature.nps.gov/air/Pubs/ pdf/flag/nsDATGuidance.pdf. 23

Based on Personal Communication, Phone conversation between Ms. Jill Webster (FWS) and Mr. Rahul Pendse (Trinity) on October 12, 2012; and E-mail from Ms. Jill Webs ter (FWS) to Mr. Dhesikan Venkatesan (Trinity) sent on October 10, 2012. 24

U.S. Forest Service – Air Quality Program, National Park Service – Air Resources Division, U.S. Fish and Wildlife Service – Air Quality Branch , Phase I Report of the Federal Land Managers’ Air Quality Related Values Workgroup (FLAG)--Revised, 2010

. 

##     dry 4 2 4 2 wet 4 2 4 2 ] SO ) flux[(NH ] flux[SO ] SO ) [(NH flux ] [SO flux (kg/ha/yr) Deposition Sulfur

   Anadarko Petroleum Corporat ion 3-4 Trinity Consultants 

### For	nitrogen,	the dry	flux	for	NO X 

### ,	and	wet	and	dry	depositi on	fluxes	for	nitrates	(NO 3 

### ),	nitric	acid (HNO 3 

### ),	and	ammonium	ion	(NH 4 

### )	from	ammonium	nitrate	(NH 4 

### NO 3 

### )	and	ammonium	sulfate (NH 4 

### ) 2 

### SO 4 

### )	were	modeled.		Therefore,	t he	sum	of	dry	flux	for	NO X 

### and	wet	and	dry	deposition	fluxes for	NO 3 

### ,	HNO 3 

### ,	and	ammonium	ion	(NH 4 

### )	from	ammonium	nitrate	and ammonium	sulfate	represents the	total	nitrogen	depositio n,	as	shown	in	Equation	2.

Equation 2

There	will	be	no	HNO 3 

### ,	(NH 4 

### ) 2 

### SO 4 

### ,	or	(NH 4 

### )NO 3 

### emissions	from	the	proposed	project,	however,	SO 2 

### and	NO X 

### can	chemically	transform	into	SO 4 

### and	NO 3 

### respectively	over	time, which	in	turn	can	form (NH 4 

### ) 2 

### SO 4 

### ,	(NH 4 

### )NO 3 

### ,	or	HNO 3 

### .		Therefore,	the	dry	flux	of	NO X 

### ,	and	wet	and	dr y	fluxes	of	(NH 4 

### ) 2 

### SO 4 

### , (NH 4 

### )NO 3 

### ,	and	HNO 3 

### were	used	to	estimate	n itrogen	deposition.

In	accordance	with	the	FLAG	Phase I	report,	gas	phase	depositio n	was	modeled	for	SO 2 

### ,	NO X 

### ,	and HNO 3 

### ,	and	particle	phase	depos ition	was	modeled	for	SO 4 

### and	NO 3 

### .		The	contributions	of	the proposed	project	to	the	depositi on	of	nitrogen	and	sulfur	speci es	in	the	Class	I area	were	estimated as	part	of	the	modeling	analysis ,	and	were	assessed	against	the appropriate	DAT.		Although	the sulfur	and	nitrogen	DATs	are	spec ified	based	on	an	annual	avera ging	period,	1‐hour	maximum emission	rates	for	the	pollutant s	were	conservatively	modeled	t o	estimate	deposition	impacts. Despite	the	conservative	approach used,	the	DATs	were	not	excee ded	for	either	nitr ogen	or	sulfur, based	on	results	presented	in	Sec tion	6	of	this	modeling	report

.



### 3.1.2. Visibility Visibility	can	be	affected	by	plum e	impairment	(heterogeneous) or	regional	haze	(homogeneous). Plume	impairment	resul ts	when	there	is	a	contrast	or	color	diff erence	between	the	plume	and	a viewed	background	(the	sky	or	a terrain	feature).		Plume	impair ment	is	generally only	of	concern when	the	Class	I	area	is	less	than 50	km	from	the	proposed	sour ce.		Since	the	distance	between	the worst‐case	drillship	location	of proposed	operations	and	the	ne arest	Class	I	area	i s	greater	than	50 km,	only	regional	haze	was	c onsidered	in	this	analysis.

Regional	haze	occurs	at	distance s	where	the	plum e	has	become	ev enly	dispersed	into	the atmosphere	such	that	there	is	no definable	plume. The	primary causes	of	regional	haze	are	sulfates (SO 4 

### )	and	nitrates	(NO 3 

### )	(primarily	as	ammonium	salts), which	are	formed from	emission s	of	SO 2 

### and	NO X 

### through	chemical	reactions	in the	atmosphere.		These	reactions take	time,	hence	distance. Near	the	emissions	source	little	NO X 

### or	SO 2 

### will	have	formed	nitrate	or sulfate,	whereas	far	from	a source	nearly	all	SO 2 

### will	have	formed	sulfate	and	most	NO X 

### will	have	formed	nitrate.		Particulate emissions	also	contrib ute	to	regional	haze but	to	a	lesser	exte nt	since	sulfates	and	nitrates	are hygroscopic	species	that	increasi ngly	reduce	visibility	with	in creased	relative	humidity.

Regional	haze	is	measured	using	the	light	extinction	coefficien t	( b ext 

### ).		To	determine	a	change	in regional	haze,	the	percentage	cha nge	of	the	light	extinction	co efficient	(Δ b ext 

### )	was	evaluated	as shown	in	the	following	Equation	3:

Equation 3 

##   ]) SO ) flux[(NH ] flux[HNO ] NO flux[NH (flux[NOx] ] SO ) flux[(NH ] flux[HNO ] NO flux[NH (kg/ha/yr) Deposition Nitrogen

dry 4 2 4 3 3 4 wet 4 2 4 3 3 4       

background ext project

ext ext 

### b b b

, , 

###  Anadarko Petroleum Corporat ion 3-5 Trinity Consultants 

### The	Δb ext 

### value	attributable	to	a	single facility	that	is	generally	acce ptable	to	the	FLM	is	5%	on	a 24‐hour	average	basis.		There	ar e	a	number	of	available	methods that	can	be	used	to	estimate	the percentage	change	of	l ight	extinction	coefficient	associated	wi th	an	emissions	source.		The	peak 24‐hour	average	visibility	impair ment	as	predicte d	by	the	air	q uality	model	is	one	conservative measure	used	to	attribute	visibility	affects	to	a	single	source .		However,	as	stated	in	the	preamble	of the	U.S.	EPA’s Regional Haze Regulations and Guidelines for Best Available Retrofit Technology (BART) Determinations, the	CALPUFF	model	uses	a	s implified	chemistry	that “...tends to magnify the actual visibility effects ”	of	a	source. 25 

### Therefore,	the	U.S.	EPA	recomme nds	the	consideration	of	the	9 8 th 

### percentile	of	modeled	visibility values	to	assess	visibility	im pacts,	and	states	in	the	preamble, “...we believe it is appropriate to use the 98 th 

### percentile—a more robust approach that does not give undue weight to the extreme tail of the distribution. The use of the 98 th 

### percentile of modeled visibility values would appear to exclude roughly 7 days per year from consideration. In our judgment, this approach will effectively capture the sources that contribute to visibility impairment in a Class I area, while minimizing the likelihood that the highest modeled visibility impacts might be caused by unusual meteorology or conservative assumptions in the model. ”		The	use	of	the	98 th 

### percentile	approach	has also	been	formalized	in	the	FLA G	Phase	I	report	(revised	2010). 26



### According	to	the	December	2000	FLA G	Phase	I	Report ,	the	backgro und	extinction	coefficient	b ext 

### , background 

### is	affected	by	various	chemical	species	and	the	Rayleigh	scatt ering	phenomenon	and	can	be calculated	using	Equation	5	show n	on	Page	37	of	the	December	20 00	FLAG	Phase	I	Report. 27 

### In	the revised	FLAG	Phase	I	Report	(rev ised	2010),	FLAG	has	proposed	a new	algorithm	for	calculating	the background	extinction	coefficien t	based	on	the	revised	method	i n	the	Interagency	Monitoring	of Protected	Visual	Environments	(IM PROVE)	protocol.		IMPROVE	prot ocols	for	reconstructing ambient	light	extinction	from	me asured	aerosol	species	are	used in	evaluating	com pliance	under	the Regional	Haze	Rule	(RHR)	and	als o	are	relied	on	for	conducting Class	I	area	AQRV analyses.			The algorithm	based	on	the	IMPROVE	p rotocols	is	recommended	as	the regulatory	default	background extinction	calculation	methodolo gy	by	the	June	2008	FLAG	Phase I	Report	(revised	2010),	and therefore,	Trinity	utilized	the procedures	specified	in	the	FLA G	Phase	I	Report	(revised	2010)	to calculate	the	background	extinct ion	coefficient,	as	explained	b elow.



### 3.1.3. October 2010 FLAG Phase I Revised Report - Calpost (“Method 8”) In	CALPOST	“Method	8”,  b ext 

### is	computed	using	a monthly average relative	humidity	adjustment particular	to	each	Class	I	area, applied	to	background	and	mode led	concentrations	of	large	and	small sulfates	and	nitrates,	and	sea	salt.		Because	a	monthly	average is	used,	no	cap	on f (RH)	is	necessary and	the	results	tend	to	be	smoothe d,	since	peak	short‐term	humi dity	events	are	not	considered.

Procedures	specified	in	the	FLA G	Phase	I	Report	(revised	2010) was	used	to	determine	the background	extinction	using	“Method	8”. The	background	extinction	coefficient b ext,background 

### is

25

U.S. EPA, Regional Haze Regulations and Guidelines for Best Available Retrofit Technology (BART) Determinations, July 6, 2005. 26

U.S. Forest Service – Air Quality Program, National Park Service – Air Resources Division, U.S. Fish and Wildlife Service – Air Quality Branch , Phase I Report of the Federal Land Managers’ Air Quality Related Values Workgroup (FLAG)--Revised, 2010.

27

U.S. Forest Service – Air Quality Program, National Park Service – Air Resources Division, U.S. Fish and Wildlife Service – Air Quality Branch, Phase I Report of the Federal Land Manage rs’ Air Quality Related Values Workgroup (FLAG) , December 2000.Anadarko Petroleum Corporat ion 3-6 Trinity Consultants 

### calculated	using	the	IMPROVE	equation	for	calculating	light	ext inction,	as	shown	in	Equation	4 obtained	from	Figure	5	of	the FLAG	Phase	I	Report	(revised	2010 ): 28



### b ext,	background 

### =	2.2	×	f S 

### (RH)	×	[Small	Sulfate]	+	4.8	×	f L 

### (RH)	×	[Large	Sulfate] +	2.4	×	f S 

### (RH)	×	[Small	Nitrate]	+	5.1	×	f L 

### (RH)	×	[Large	Nitrate] +	2.8	×	[Small	Organic	Mass]	+ 6.1	×	[Large	Organic	Mass] +	10	×	[Elemental	Carbon]	+	1 ×	[Fine	Soil]	+	0.6	×	[Coarse Mass] +	1.7	×	f SS 

### (RH)	×	[Sea	Salt]	+	Rayleigh	S cattering	(Site	Specific)	+	0.175 5	×	[NO 2 

### ] Equation 4 where: [	]	indicates	concentrations	in	μg/m 3 

### f S 

### (RH)	=	Relative	humidity	adjustment	factor	for	small	sulfate	an d	nitrate f L 

### (RH)	=	Relative	humidity	adjustment	factor	for	large	sulfate	an d	nitrate f SS 

### (RH)	=	Relative	humidity	adjustment	factor	for	sea	salt

Monthly	average	f L 

### (RH),	f S 

### (RH)	and	f SS 

### (RH)	values	for	Breton	NWR	a re	shown	in	Table	3‐3,	as obtained	from	Tables	7,	8,	and	9	respectively	of	the	FLAG	Phase I	Report	(revised	2010).

Table 3

‐ 3. Monthly f S 

### (RH), f L 

### (RH) and f SS 

### (RH) for Breton NWR

Month Average f s 

### (RH) Average f L 

### (RH) Average f ss 

### (RH) January	 4.08	 2.91	 4.10 February	 3.82	 2.76	 3.89 March	 3.79	 2.74	 3.87 April	 3.74	 2.72	 3.85 May	 3.94	 2.83	 4.02 June	 4.12	 2.94	 4.21 July	 4.41	 3.10	 4.44 August	 4.37	 3.07	 4.38 September	 4.18	 2.97	 4.23 October	 3.92	 2.82	 3.99 November	 3.93	 2.83	 4.01 December	 4.06	 2.90	 4.11

Monthly	average	f L 

### (RH),	f S 

### (RH)	and	f SS 

### (RH)	values	for	St.	Marks	are	shown	in	Table	3‐4,	as	obtained from	Tables	7,	8,	and	9	respectiv ely	of	the	FLAG	Phase	I	Report (revised	2010).

28

U.S.	Forest	Service	–	Air	Quali ty	Program,	National	Park	Servi ce	–	Air	Resources	Division,	U.S.	Fish	and Wildlife	Service	–	Air	Quality	B ranch,	Phase	I	Report	of	the	Fe deral	Land	Managers’	Air	Quality	Related Values	Workgroup	( FLAG)‐‐Revised,	2010.Anadarko Petroleum Corporat ion 3-7 Trinity Consultants 

### Table 3

‐ 4. Monthly f S 

### (RH), f L 

### (RH) and f SS 

### (RH) for St. Marks NWR

Month Average f s 

### (RH) Average f L 

### (RH) Average f ss 

### (RH) January 4.24	 2.98	 4.18 February 3.89	 2.78	 3.89 March 3.79	 2.73	 3.82 April 3.72	 2.69	 3.76 May 3.79	 2.74	 3.85 June 4.32	 3.04	 4.30 July 4.56	 3.17	 4.49 August 4.63	 3.21	 4.54 September 4.43	 3.1	 4.39 October 4.19	 2.96	 4.19 November 4.16	 2.94	 4.15 December	 4.39	 3.06	 4.30

Additionally,	 the	most	 recent	 values	 for	 the	 annual	 average	 bac kground	 concentrations	 at	 Breton and	 St.	 Marks	 obtained	 from	 Table	 6	 of	 the	 FLAG	 Phase	 I	 Report (revised	 2010)	 are	 provided	 in Table	3‐5. 29 

### These	values	were	used	to	calc ulate	background	extinction.

Table 3

‐ 5. Annual Average Background Values for Breton & St. Marks

Species Breton (  g/m 3 

### ) St. Marks (  g/m 3 

### )

Ammonium	Sulfate	 0.23	 0.23 Ammonium	Nitrate	 0.10	 0.10 Organic	Carbon	Mass	 1.78	 1.80 Elemental	Carbon	 0.02	 0.02 Soil	 0.48	 0.50 Coarse	Mass	 3.01	 3.00 Sea	Salt	 0.19	 0.10 Rayleigh	Scattering	 11	Mm ‐1 

### 11	Mm ‐1



### The	methodology	presented	in	Fig ure	5	of	the	FLAG	Phase	I	Repor t	(revised	2010)	was	used	to calculate	large	and	small	nitrat es,	large	and	small	sulfates,	a nd	large	and	small	organic	mass.

The	extinction	coefficient	attrib utable	to	emissions	increases from	the	proposed	project b ext,project 

### was	also	calculated.		The	extinction	resulting	from	the	project was	calculated	as	shown	in	Equation 5: b ext,	project 

### =		2.2	×	f S 

### (RH)	×	[Small	Sulfate]	+	4.8	×	f L 

### (RH)	×	[Large	Sulfate] +	2.4	×	f S 

### (RH)	×	[Small	Nitrate]	+	5.1	×	f L 

### (RH)	×	[Large	Nitrate]

29

U.S. Forest Service – Air Quality Program, National Park Service – Air Resources Division, U.S. Fish and Wildlife Service – Air Quality Branch, Phase I Report of the Fede ral Land Managers’ Air Qualit y Related Values Workgroup (FLAG)--Revised, 2010.Anadarko Petroleum Corporat ion 3-8 Trinity Consultants 

### +	2.8	×	[Small	Organic	Mass]	+	6.1 ×	[Large	Organic	Mass]	+	10 ×	[Elemental Carbon] +	1	×	[Fine	Soil]	+	0.6	× [Coarse	Mass]	+	0.1755	×	[NO 2 

### ] Equation 5 where: [	]	indicates	concentrations	in	μg/m 3 

### f S 

### (RH)	=	Relative	humidity	adjustment	factor	for	small	sulfate	an d	nitrate f L 

### (RH)	=	Relative	humidity	adjustment	factor	for	large	sulfate	an d	nitrate

“Method	8”	was	used	to	compute	vi sibility	impairment	in	terms	o f	Δ b ext 

### from	modeled	pollutant concentrations	using	the	CAL POST	processor.		In	Method	8,  b ext 

### is	computed	using	a monthly average relative	humidity	adj ustment	particular	t o	each	Class	I	area, applied	to	background	and modeled	concentrations	of	large and	small	sulfates	and	nitrates ,	and	sea	salt.		Because	a	monthly average	is	used,	no	cap	on f (RH)	is	necessary	and	the	results tend	to	be	smoothed,	since	pe ak	short‐ term	humidity	events	are	not	considered.

The	98 th 

### percentile	Δb ext 

### percentage	change	results	using	M ethod	8	are	presented	in	Sect ion	5	of	the report.		If	the	change in	light	extinction as	a	result	of	the	p roposed	project	is	between	5%and	10%,	a case‐by‐case	determinatio n	should	be	requested.



### 3.1.4. Ozone Ozone	is	a	toxic	air	pollutant	t hat	is	formed	on	warm,	sunny	da ys	when	its	precursors	NO x 

### and	VOC react	in	the	presence	of	sunlight .		Because	ozone	is	a	regional pollutant,	precurso r	sources	both	near and	far	from	Class	I	areas	can	co ntribute	to	ozone	formation. However,	due	to	the	complex photochemical	reactions	that	are involved	in	the	formation	of	o zone,	it	is	difficult	to	quantify	specific relationships	between	precursor	em issions	and	ambi ent	ozone	con centrations	at	a	Class	I	area,	and also	to	quantify	the	specific	rel ationship	between	ambient	ozon e	at	a	Class	I	area	and	vegetation response.		Therefore,	FLAG	has	ch osen	to	focus	on	the	effects	o f	ozone	on	vegetation	and	the	levels of	ozone	generally	known	to	be	phytotoxic	in	Class	I	areas	as	i ndicators	of	concern	regarding	ozone impacts	on	AQRVs.		Based	on	disc ussions	with	FS,	Anadarko	has	a ddressed	the	impacts	of	ozone exposure	as	a	result	of	the	propo sed	operations	on	vegetation	a t	Bradwell	Bay. 30



### Based	on	review	of	available	dis persion	models	and	discussion	w ith	FS,	it	has	been	found	that	there are	currently	no	dispersion	mode ls	available	that	can	relate	em issions	from	a	single	source	to changes	in	ozone	concentrations at	particular	receptor	location s.		However,	as	discussed	with	FS, since	single	source	a ttribution	modeling	i s	possible	for	both	v isibility	and	deposition,	Anadarko	is demonstrating	compliance	with	th e	deposition	thresholds	at	Brad well	Bay	as	a	method	of addressing	impacts	of	ozone	on	the	vegetation	at	Bradwell	Bay. 31,32



### Demonstrating	compliance	with	th e	deposition	thresholds	shall	p rovide	an	indication	of	whether the	proposed	project	operations	NO X 

### emissions	are	likely	to	cause an	adverse	impact	on	soils,

30

Based on Personal Communication, Phone conversation between Ms. Melani e Pitrolo (FS) and Mr. Rahul Pendse (Trinity) on October 18, 2012. 31 Based on Personal Communication, Phone conversation between Ms. Melani e Pitrolo (FS) and Mr. Rahul Pendse (Trinity) on October 18, 2012. 32

Per discussion with Ms. Melanie Pitrolo (FS) and and Mr. Rahul Pendse (Trinity) on October 18, 2012, visibility has not been established as an AQRV for Bradwell Bay.Anadarko Petroleum Corporat ion 3-9 Trinity Consultants 

### and/or	surface	waters.		Since	the results	of	deposition	modelin g	are	below	the	DATs,	it demonstrates	that	the	project’s	NO X 

### emissions	do	not	cause	any	adverse	impacts	on	soils	and/or surface	water,	and	since	all FLM	areas	are	assumed	to	be	NO X 

### ‐limited	for	formati on	of	ozone,	it	can be	deduced	that	there	are	no	ozone impacts	on	the	vegetation	at Bradwell	Bay	Wilderness. 33 

### It should	also	be	noted	that	the	PS D	Class	I	area	modeling	analysi s	demonstrated	that	Class	I	area	SILs are	not	exceeded	for	NO 2 

### (as	discussed	in	Section	6),	which	provides	additional	demonst ration	that no	significant	impact	on	ozone	l evels	at	Bradwell	Bay	would	occ ur.

33

Per Section 3.4.5 of Phase I Report of the Federal Land Managers’ Air Quality Related Values Workgroup (FLAG)-- Revised, 2010

.Anadarko Petroleum Corporat ion 4-1 Trinity Consultants 

## 4. CLASS II AIR QUALITY DISPERSION MODELING REQUIREMENT

4.1. PSD SIGNINFICANT ANALYSIS An	air	quality	analysis	was	perf ormed	to	demonstrate	that	emiss ions	of	these	pollutants	do	not cause	or	contribute	to	a	violati on	of	a	NAAQS	or	exceed	a	Class II	area	PSD	Increment.		A	Class	II	PSD Air	Dispersion	Modeling	Analysis consisted	of	two	distinct	phas es: The	first	phase,	PSD	significanc e	analysis,	is	a	screening	anal ysis.		The	significance	analysis considers	only	the	emi ssions	associated	wit h	the	proposed	proje ct	to	determine	if	the	net emissions	changes	will have	a	significant impact	upon	the	surro unding	area.		A	“significant” impact	occurs	when	the	modeled	am bient	concentration	resulting from	the	modeled	emission rates	equals	to	or	exceeds	applicable	SILs	and	Modeling	Signifi cance	Levels	(MSLs).		If	the project	impact	is	less	than	co rresponding	SILs	then	no	further analysis	is	required. The	second	phase	is	a	“full	impa ct”	or	“cumulative”	analysis. For	pollutants	with	modeled concentrations	equal	to	or	greater	than	the	SIL,	PSD	regulation s	require	a	NAAQS	analysis	and	a PSD	Increment	analysis.

Table	4‐1	lists	the	SILs,	NAAQ S,	and	PSD	Increments	for	all	rel evant	PSD‐regulated	pollutants	for this	dispersion	modeling	analysis.

Table 4

‐ 1. Applicable PSD Air Quality Levels

Pollutant Averaging Period PSD Modeling SIL (μg/m 3 

### ) Primary and Secondary

NAAQS (μg/m 3 

### ) Class II Area PSD Increment

(μg/m 3 

### ) Significant Monitoring Concentration (μg/m 3 

### ) CO	 1‐hour	 200	 40,000	(35	ppm) 1 

### ‐‐	 ‐‐ 8‐hour	 500	 10,000	(9	ppm) 1 

### ‐‐	 575 SO 2 

### 3‐hour	 25	 1,300	(0.5	ppm) 1 

### 512	 ‐‐ 24‐hour	 5	 ‐‐	 91	 13 Annual	 1	 ‐‐	 20	 ‐‐ 1‐hour 8 

### ‐‐	 196	(0.075	ppm) 4 

### ‐‐	 ‐‐ NO 2 

### Annual	 1	 100	(0.053	ppm) 2 

### 25	 14 1‐hour 7 

### ‐‐	 188	(0.100	ppm) 4 

### ‐‐	 ‐‐ PM 10 

### 24‐hour	 5	 150 3 

### 30	 10 Annual	 1	 ‐‐	 17	 ‐‐ PM 2.5 

### 24‐hour	 1.2	 35 5 

### 9	 4 Annual	 0.3	 12 6 

### 4	 ‐‐ 1	Not	to	be	exceeded	more	than	once	per	year. 2	 Annual	arithmetic	average. 3	 Not	to	be	exceeded	more	than	on ce	per	year	on	average	over	3 years. 4	 3‐year	average	of	the	98 th percentile	of	the	annual	distri bution	of	daily	maximum	1‐hour concentrations. 5	 98 th percentile	of	concentrations	in a	given	year,	averaged	over	3 years. 6	 Annual	arithmetic	mean	from	sin gle	or	multiple monitors,	aver aged	over	3	years. 7	 PSD	Increments,	Modeling	SILs, and	Monitoring	De	Minimis	Conc entration	level	for	the	1‐hour	NO 2

standard	have	not	been	proposed yet.		However,	interim	modeling significance	levels	of	4	ppb	was	provided by	EPA	in	general	guidance	imple mentation	memo	dated	June	28,	2 010.Anadarko Petroleum Corporat ion 4-2 Trinity Consultants 8	 PSD	Increments,	Modeling	SILs, and	Monitoring	De	Minimis	Conc entration	level	for	the	1‐hour	SO 2 standard

have	not	been	proposed	yet.		Howev er,	interim	modeling	signific ance	levels	of	3	ppb	was	provided	by	EPA in	general	guidance	implementati on	memo	dated	August	23,	2010. 9		The	existing	annual	and	24‐hour	SO 2 standards	will	be	revoked	one	ye ar	after	the	effective	date	in areas

with	a	designated	status	for	the	revised	SO 2 NAAQS,	per	40	CFR	50.4I.



### Each	of	the	applicable	principle steps	involved	in	a	PSD	Air	Di spersion	Modeling	analysis	are discussed	in	detail	below.		The dispersion	modeling	analysis	wa s	conducted	in	a	manner	that conforms	to	the	applicable	rules and	requirements	for	dispersio n	modeling	issued	by	the	U.S. Environmental	Protection	Agency	(EPA). 34



### 4.1.1. Pre- Construction Monitoring Analysis

In	addition	to	determining	wheth er	the	applicant can	forego	fur ther	modeling	analyses,	the	PSD Significance	Analysis	is	also	us ed	to	determine whether	the	app licant	is	exempt	from	ambient monitoring	requirements.		To	det ermine	whether	pre‐construction monitoring	should	be considered,	the	maximum	impacts	a ttributable	to	the	emissions	i ncreases	from	a	project	are compared	with	the	Significant	Mo nitoring	Concentrations	(SMCs) shown	in	Table	4‐1.		If	either	the predicted	modeled	impact	from	an emissions	increase	or	the	exis ting	ambient	concentration	is	less than	the	SMC,	an	applicant	is	exe mpt	from	pre‐construction	ambi ent	monitoring.		I f	the	predicted modeled	impact	is	equal	to	or	greater	than	the	SMC,	an	applican t	may	provide	existing	data representative	of	ambient	air	qua lity	in	the	affected	area	or, if	such	data	are	not	available,	collect background	air	quality	data. 35



### Additionally,	although	no	SMCs	have	been	established	for	ozone, 40	CFR	52.21(i)(5)(i)	specifies	that for	any	net	emissions	increase of	100	tons	per	year	or	more	of VOC	or	NO X 

### subject	to	PSD,	an applicant	would	be	required	to	perform	an	ozone	impact	analysis .		As	the	NO X 

### emissions	from	the proposed	OCS	source	are	greater than	100	tons	per	year,	the	pro posed	project	will	be	subject	to	the requirements	of	40	CFR	52.21(i)(5)(i).

Due	to	the	remote	offshore	locat ion	of	the	proposed	operations, very	minimal	contribution	in	the formation	of	ozone	is	expected	f rom	the	proposed	operation.		Si nce	an	adequate	ozone	formation model	is	not	available	for	this type	of	a	single	source	applica tion,	Anadarko	addressed	this requirement	in	Section	6	using	qua litative	approach	as	describe d	in	the	preliminary	statement	of basis	for	permit	no.	OCS‐EPA‐R 4006	and	OCS‐EPA‐R4012	prepared	b y	the	EPA	Region	4. 36	,	37

34

40 CFR 51, Appendix W, Revision to Guideline on Air Quality Models, November 9, 2005; and EPA’s New Source Review Workshop Manual (DRAFT) (1990). 35 U.S. EPA New Source Review Workshop Manual (Draft, 1990), pages C.18–19. 36

U.S. EPA Region 4, Preliminary Dete rmination & Statement of Basis Outer Continental Shelf Air Permit OCS-EPAR4006, August 19, 2011. 37 U.S. EPA Region 4, Preliminary Determination & Stateme nt of Basis Outer Continental Shelf Air Permit OCS-EPAR4012, August 9, 2013.Anadarko Petroleum Corporat ion 4-3 Trinity Consultants 

### 4.1.2. Special Considerations for PM 2.5 

### On	January	22,	2013,	the	U.S.	Cour t	of	Appeals	for	the	District of	Columbia	Circuit	vacated	the	SMC for	PM 2.5 

### and	two	provisions	in	EPA’s	PSD	regulations	containing	SILs	fo r	PM 2.5 

### . 38 

### The	Court concluded	that	the	PM 2.5 

### SMC	provisions	(40	CFR	51.166( i)(5)(c)	and	40	CFR	52.21(i)(5)( i)(c))	were inconsistent	with	th e	requirements	of	Section	165(e)(2)	of	the CAA.		The	Court	granted	the	EPA’s request	to	remand	and	vacate	the SIL	provisions	in	Sections	40 CFR	51.166(k)(2)	and	40	CFR 52.21(k)(2)	of	the	regulations	so that	the	EPA	could	correct	an error	in	these	provisions	that	came	to the	EPA’s	attention	after	the court	challenge	was	filed.

The	EPA	released	draft	guidance	(EPA	draft	guidance	for	PM 2.5 

### modeling)	for	PM 2.5 

### modeling	which reflects	EPA's	preliminary	recomme ndations	for	how	a	stationary source	seeking	a PSD	permit	may demonstrate	that	it	will	not	cause	or	contribute	to	a	violation of	the	NAAQS	and	PS D	increments	for PM 2.5 

### ,	as	required	under	Section	165(a) (3)	of	the	CAA	and	40	CFR	51. 166(k)	and	40	CFR	52.21	(k). The	draft	Guidance	for	PM 2.5 

### permit	modeling	incorporates	t he	modeling	procedures	and recommendations	from	the	March 23,	2010,	guidance	memorandum	"M odeling	Procedures	for Demonstrating	Compliance	with	PM 2.5 

### NAAQS,"	and	further	clarifie s	procedures	for	adequately addressing	primary	and	secondary	PM 2.5 

### in	a	NAAQS	compliance	dem onstration	under	the	PSD program.		Due	to	lack	of	other	final	guidance,	Anadarko	has	mod eled	PM 2.5 

### emissions	consistent	with the	recommendations	prescribed	in the	draft	guidance	document.

Per	EPA	draft	guidance	for	PM 2.5 

### modeling:

“...The vacated provisions of the regulations inadvertently restricted the discretion of permitting authorities to conduct or require more than a screening analysis in some circumstances where the EPA had called for permitting authorities to consider whether additional analysis was needed to make the demonstration required by Section 165(a)(3) of the CAA. Due to the court decision, the EPA will not rely, and advised permitting authorities with State Implementation Plan (SIP) approved PSD programs not to rely, on the SMCs for PM 2.5 

### to exempt permit applicants from compiling preconstruction monitoring data for PM 2.5 

### in accordance with Sections 40 CFR 51.166(m) and 40 CFR 52.21(m). However, the EPA believes PSD permit applicants may continue to meet the preconstruction monitoring requirements in these regulations by using data from existing monitors that are determined by the applicable permitting authority to be representative of background conditions in the affected area. The court decision does not preclude the use of SILs for PM 2.5



### , but requires that EPA correct the error in the SIL regulations for PM 2.5 

### at 40 CFR 51.166(k)(2) and 40 CFR 52.21(k)(2). In the interim, the EPA believes permitting authorities may continue to apply SILs for PM 2.5 

### to support a PSD permitting decision, but permitting authorities should take care to ensure that SILs are not used in a

manner that is inconsistent with the requirements of Section 165(a)(3) of the CAA....” 39



### Per	EPA	draft	guidance	for	PM 2.5 

### modeling:

“...Any permitting authority wishing to use a particular SIL value as a screening tool in a significant impact analysis should determine whether a substantial portion of the NAAQS has already been consumed. Preconstruction monitoring data (or adequately representative onshore monitoring data from an existing onshore monitoring network) should be evaluated against the respective PM 2.5 

### NAAQS. If the difference between the NAAQS and the measured or representative PM 2.5 

### background in the area

38 Sierra Club v. EPA, No. 10-1413 (D.C. Circuit), 2013 WL 216018.

39 http://www.epa.gov/scram001/guidance/guide/Draft_Guidance_for_PM25_Permit_Modeling.pdf.Anadarko Petroleum Corporat ion 4-4 Trinity Consultants 

### is greater than the applicable SIL value, then the EPA believes it would be sufficient in most cases for permitting authorities to conclude that a source with an impact below that SIL value will not cause a

new NAAQS violation...”

In	the	submitted	air	dispersion	m odeling	protocol,	Anadarko	pro posed	to	subtract	background	PM 2.5 

### concentrations	from	the	NAAQS	st andards	to	assess whether	a	sub stantial	portion	of	NAAQS	has already	been	consumed.		If	the	d ifference	between	the	NAAQS	sta ndard	and	the	background concentration	is	greater	than	the	respective	PM 2.5 

### SIL	then	Anadarko	is	proposed	to	compare modeled	PM 2.5 

### concentrations	agai nst	the	respective	PM 2.5 

### SILs.		Also,	Anadarko	proposed	to address	the	impact	o f	the	secondary	PM 2.5 

### formation	qualitatively.

Air	emission	sources	complying	w ith	the	federal PSD	rules	are	r equired	to	assess	the	influence	of not	only	primary	PM 2.5 

### ,	but	also	impacts	of	potential	formation	of	secondary	PM 2.5 

### .		Precursors include	NO X 

### ,	SO X 

### ,	and	VOCs.		These	precursors,	un der	specific	atmospheric	condi tions	and	in	the presence	of	other	chem icals	integral	to	the photochemical	proce sses	that	form	secondary	PM 2.5 

### ,	may coagulate	on	existing	particles or	nucleate	into	new	particles. Understanding	the	state	of atmospheric	conditions	and	chemi cal	composition	near	a	PSD	sour ce	is	essential to	assessing	the influence	that	the	PSD	source	could	have	on	secondary	PM 2.5 

### formation.

The	EPA	draft	guidance	for	PM 2.5 

### modeling	allows	for	a	qualitati ve	assessment	of	secondary	PM 2.5 

### formation	for	PSD	sources.	The	i ntent	is	for	the	assessment	to provide	sufficient	qu alitative	evidence that	the	potential	for	the	formation	of	secondary	PM 2.5 

### would	not	result	in	overall	PM 2.5 

### levels	that exceed	the	NAAQS,	and	that	ultima tely	a	quantitative	assessment will	not	be	required	to	evaluate	the formation	of	secondary	PM 2.5 

### .		As	indicated	in	the	EPA	draft	guidance	for	PM 2.5 

### modeling	document, precursors	can	be	addressed	ei ther	by	a	qualitative	assessment of	the	state	of	atmospheric chemistry	for	a	region,	or	by	use of	photochemical	modeling.		H owever,	if	a	qualitative	assessment provides	ample	evidence	that	prec ursors	will	not	cause	primary and	secondary	PM 2.5 

### emissions	to exceed	or	approach	the	NAAQS,	the n	the	application	of	photochem ical	models	may not	be	required.

Investigations	of	the	Southeast ern	Aerosol	Research	and	Charact erization	(SEARCH)	monitoring network	have	provided	detailed	i nformation	on	the	trends	and	sp eciation	of	the	regional	pollutants. 40,41 

### The	SEARCH	network	en compasses	the	EGOM	and	has	operated	since mid‐1998	assessing numerous	pollutants	relevant	to	t he	development	of	secondary	PM 2.5 

### .		Recently	published	studies	of SEARCH	have	shown	that	s econdary	formation	of	PM 2.5 

### is	due	largely	to	reactions	of	SO 2 

### and	NO X 

### with	NH 3 

### in	the	atmosphere	resul ting	in	increased	su lfate	and	nitrate	c omposition	in	atmosphere.

Blanchard	et.al,	concluded	that particulate	sulfate	concentrati on	decreased	in	tandem	with	decrease in	SO 2 

### emissions.			Similar	decreases	in	emissions	have	also	been	obs erved	within	Clean	Air	Status and	Tends	Network	(CASTNet).		The	formation	of	particulate	nitr ate	is	a	function	of	NO X 

### ,	NH 3 

### ,	and SO 4 

### interactions	as	well	as	atmosph eric	conditions	such	as	tempera ture	and	humidity,	thus	causing additional	complexit y	in	understanding	th e	relationships	associ ated	with	particulate	formation.

40 Blanchard,C.L., Hidy, G.M., Tanenbaum, S., Edgerton, E.S., & Hartsell, B.E.. (2013a) The Southeastern Aerosol Research and Characterization (SEARCH) study: Spat ial variations and chemical climatology, 1999-2010. Journal of Air & Waste Management Association, 63(3), 260-275. Doi:10.1080/10962247.2012.749816

. 41 Blanchard,C.L., Hidy, G.M., Tanenbaum, S., Edgerton, E.S., & Hartsell, B.E.. (2013a) The Southeastern Aerosol Research and Characterization (SEARCH) study: Temporal trends in gas and PM concentrations and compositions, 1999-2010. Journal of Air & Waste Management Association, 63(3), 247-259. Doi:10.1080/10962247.2012.748523

.Anadarko Petroleum Corporat ion 4-5 Trinity Consultants 

### Blanchard	et.al,	concluded	that formation	of	nitrate	is	limited by	the	availability	of	NH 3 

### . 42 

### Typically with	a	reduction	in	SO 2 

### emissions	there	is	potentially	a n	increase	in	availability	of NH 3 

### for	nitrate conversion	from	NO X 

### .		However,	as	noted	by	Blanchard et	al	decrease	in	sulfate	con centration	did not	result	in	increase	i n	nitrate	concentrat ion	(reciprocal	inc rease	in	nitrate)	indicating	that	despite reduction	in	SO 2 

### emissions,	the	reaction	of	SO 2 

### with	NH 3 

### dominated	in	the	EGOM	region.		This	is further	validated	by	the	correlat ion	of	decreasing	sulfate	part iculates	and	ammonium	particulate concentrations	within	the	SEARCH network.		This	concludes	that the	secondary	PM 2.5 

### in	EGOM	is dominated	by	ammonium	sulfate	and	not	ammonium	nitrate.

Due	to	the	competition	for	available	ammonia	between	NO X 

### and	SO 2 

### ,	increase	in	the	NO X 

### emissions in	the	region	is	unlikely	to	bri ng	about	corresponding	increase s	in	PM 2.5 

### .		Additionally,	the background	concentrations	of	cert ain	chemical	species	that	part icipate	in	photochemical	reactions to	form	secondary	PM 2.5 

### ,	including	ammonia,	is	expected	to	be	negligible	in	the	offsho re	air	masses where	the	project	is	proposed.

There	are	several	oth er	conservative	assumptions	incorporated	i n	the	modeling	of	primary	PM 2.5 

### including	modeling	two	point	sou rces	at	the	worst‐case	location closest	to	nearest	receptor, modeling	performed	at	max	lb/hr	em issions	and	the	temporary	nat ure	of	the	source	activity (drillship)	at	worst‐case	model ed	location.		Therefore,	the	add ition	of	a	new	source	of	NO X 

### from	the proposed	project	operations	woul d	likely	have	little	impact	on the	formation	of	secondary	nitrate. Hence,	Anadarko	concludes	that	t he	project	emissions	will	have very	little	to	no	impact	on secondary	PM 2.5 

### formation.		Based	on	these	factor s,	and	consistent	with	EPA	dra ft	guidance	for	PM 2.5 

### modeling,	Anadarko	believes	that	an	adequate	assessment	has	bee n	made	to	demonstrate	that	the PM 2.5 

### NAAQS	will	be	protected,	accounting	for	primary	PM 2.5 

### impacts	and	potent ial	contributions due	to	PM 2.5 

### precursors	from	the	proposed	pro ject,	and	that	it	is	not	necess ary	to	use	a photochemical	model	to	fur ther	evaluate	secondary	PM 2.5 

### formation	in	this	application.

Anadarko	reviewed	the	available	PM 2.5 

### air	quality	monitoring	data	for the	EGOM.		Although	there	are no	existing	PM 2.5 

### measurements	in	the	vi cinity	of	projects	w orst‐case	lease	bloc ks,	there	are	a number	of	shore‐based	monitors. Because	of	the	scarcity	of	PM 2.5 

### sources	in	the	EGOM	and	the project’s	large	distance	from	la nd‐based	sources,	the	backgroun d	ambient	PM 2.5 

### concentration	in	the EGOM	OCS	are	expected	to	be	low er	than	any	onshore	concentratio ns.		Therefore,	the	existing onshore	ambient	monito ring	data	should	provide	conservative	bac kground	ambient	PM 2.5 

### concentrations	for	the	project	location.

EPA	Region	4	had	recently	conclu ded	in	the	preliminary	statemen t	of	basis	for	permit	no.	OCS‐EPA‐ R4012 that	the	maximum	PM 2.5 

### 24‐hour	and	annual	concentration from	the	18	existing	EGOM shore‐based	monitors	for	the 2009‐2011	period	were	28	and	10.4 ug/m 3 

### ,	respectively. 43 

### The	PM 2.5 

### 24‐hour	NAAQS	is	35	ug/m 3 

### and	the	PSD	Class	II	SIL	is	1.2	ug/m 3 

### .		The	annual	NAAQS	is	12	ug/m 3 

### and	the	Class	II SIL	is	0.3	ug/m 3 

### .		The	difference between	the	PM 2.5 

### NAAQS	and	the	conservative ambient	background	concentration s	as	presented	in	preliminary	s tatement	of	basis	for	permit	no. OCS‐EPA‐R4012 are	greater	than	the	respective	PM 2.5 

### Class	II	SILs.			Hence,	Anadarko	believes	that the	proposed	project	will	qualif y	for	use	of	comparison	of	mode led	PM 2.5 

### concentrations	against	the respective	PM 2.5 

### SILs	for	a	Class	II	area.

42 Blanchard,C.L., Tanenbaum, S., Hidy, G.M. (2007). Effect of Sulfur Dioxide and Oxide of Nitrogen Emission Reductions on Fine Particulate Matter Mass Concentrations: Regional Comparisons. Journal of Air & Waste Management Association, 57(11), 1337-1350. Doi:10.3155/1047-3289.57.11.1337

. 43 U.S. EPA Region 4, Preliminary Determination & Stateme nt of Basis Outer Continental Shelf Air Permit OCS-EPAR4012, August 9, 2013.Anadarko Petroleum Corporat ion 4-6 Trinity Consultants 

## 4.2. ADDITIONAL IMPACTS ANALYSIS An	additional	impacts	analysis	was	performed	in	accordance	with PSD	requirements	in	40	CFR	§ 52.21(o).		The	PSD	application	prep ared	for	the	proposed	projec t	comprises	of		three	additional impact	analyses:	1)	an	analysis of	the	air	quality	impact	proje cted	for	the	area	as	a	result	of	any commercial,	residential ,	and	industrial	growth	associated	with the	proposed	facility,	2)	an	analysis of	the	impairment	to	soils,	vege tation,	and	animals	that	may	oc cur	as	a	result	of	the	proposed facility,	and	3)	an	analysis	of impairment	to	visibility	(haze at	distant	Class	I	areas	and	plume impairment	at	sensitive	Class II	receptors)	that	may	occur	as	a result	of	the	proposed	facility.



### 4.2.1. 

## Growth analysis The	purpose	of	the	growth	analys is	is	to	quantify	project‐assoc iated	growth;	that	i s,	to	predict	how much	new	growth	is	likely	to	occur	in	order	to	support	the	sour ce	under	review,	and	then	to estimate	the	air	quality	impacts from	this	growth	either	quanti tatively	or	qualitatively.		Typically, the	amount	of	residential	growth depends	on	the	size	of	the	ava ilable	work	force,	the	number	of	new employees,	and	the	av ailability	of	housing	in	the	area.		Associ ated	commercial	and	industrial	growth consists	of	new	sources	providin g	goods	and	services	to	the	new employees	and	to	the	new industrial	source	itself.		The	p otential	growth of	industrial, commercial,	and	residential	sources	as	a result	of	the	proposed	Desoto	Can yon	exploration	activities	is expected	to	be	minimal.		As	discussed in	Section	6	because	of	the	seasonal	and	temporary	nature	of	th e	proposed	OCS	source,	Anadarko anticipates	that	any	industrial, commercial	and	residential	gro wth	will	be	insignificant.



### 4.2.2. 

## Soils and vegetation analysis The	EPA,	through	the	CAA,	has	pr omulgated	primary	and	secondary ambient	air	quality	standards. The	primary	air	quality	standard s	are	set	at	levels	necessary	t o	provide	an	adequate	margin	of	safety to	protect	human	health.		The	se condary	standard s	are	set	at	le vels	to	provide	for	protection	of public	welfare,	where welfare	is	defined	t o	include	the	followi ng:		soils,	water,	vegetation,	manmade materials,	animals,	wildlife,	we ather,	visibility,	climate,	and damage	to	or	deterioration	of property. 44 

### Table	4‐1	shows	the	secondary	N AAQS	for	each	rel evant	regulate d	air	pollutant	for	this modeling	analysis.

To	satisfy	this	requirement,	Tri nity	assessed	the	modeling	resu lts	against	the	secondary	NAAQS,	for determination	of	impacts	to	soil	and	vegetation.		If	ambient	ai r	concentrations	are	found	to	be	less than	the	secondary	NAAQS,	it	can be	presumed	that	emissions	fro m	the	proposed	sources	will	not result	in	harmful	effects	to	e ither	soil	or	vegetation. 45 

### Moreover,	due	to	the	lo cation	of	the	proposed project	activities	being	more	th an	100	km	from	th e	nearest	shor eline	if	ambient	air	concentrations are	found	to	be	less	than	the	SIL s,	it	can	be	presumed	that	emi ssions	from	the	propo sed	sources	will not	result	in	harmful	effects	to either	soil	or	vegetation.



### 4.2.3. 

## Visibility analysis As	per	the	U.S.	EPA	New	Source	Re view	Workshop	Ma nual,	visibili ty	impairment	analysis	should	be performed	for	impacts	that	occu r	within	the	area	affected	by	pr oposed	project. 46 

### The	EPA’s

44

Sections 109 and 302 of the Clean Air Act. 45

U.S. EPA, Office of Air Quality Planning and Standards, New Source Review Workshop Manual, Research Triangle Park, NC, October 1990. 46 U.S. EPA, New Source Review Workshop Manual (D raft): Prevention of Signif icant Deterioration and Nonattainment Area Permitting, October 1990.Anadarko Petroleum Corporat ion 4-7 Trinity Consultants 

### Workbook	for	Plume	Visual	Impact Screening	and	Analysis	(Workbo ok)	provides	guidance	for conducting	a	visibility	impairme nts	analysis	through	the	use	of VISCREEN,	a	plume	visibility	impact model. 47 

### The	methods	in	this	workbook	are	designed	for	Class	I	area	imp acts;	however,	the procedures	are	generally	applicab le	to	other	areas	as	well.		Th e	VISCREEN	model	is	recommended for	the	first	level	(Level	1) screening	analysis.			If	predicte d	values	from	the	VI SCREEN	model	are	less than	the	standardized	screening values,	no	further	analysis	is required.

Although	VISCREEN	is	primarily designed	for	assessing	plume	vis ual	impacts	in	Class	I	areas,	as noted	in	the	Workbook	f or	Plume	Visual	Impa ct	Screening	and	Ana lysis,	it	can	also	b e	applied	in	PSD Class	II	areas.		Default	values have	been	used	for	background	o zone	(0.04	ppm),	stability	class	(6), and	wind	speed	(1	m/s).		Per	the Workbook,	distances	from	the	e mission	source	for the	Class	II	area evaluations	can	be	specified	“arbitrarily.”		The	application	of VISCREEN	is	limited	to	distances	less than	or	equal	to	50	km .		Therefore	to	conservatively	estimate	t he	potential	visual	impact	in	the impact	area	that	is	more	than	50 km	from	the	proposed	project	l ocation,	the	50	km	distance	has been	used	in	the	VISCREEN	analysis	as	discussed	in	Section	6.

47

U.S. EPA Office of Air Quality Planning and Standards. Workbook for Plume Visual Impact Screening and Analysis. Research Triangle Park, NC. EPA-450/4-88-015.Anadarko Petroleum Corporat ion 5-1 Trinity Consultants 

## 5. CLASS I AND II AREA MODELING METHODOLOGY

This	section	of	the	modeling	rep ort	describes	the	modeling	proc edures	and	data	resources	that	were utilized	in	the	both	Class	I	and	Class	II	area	air	quality	mode ling	analysis.



## 5.1. MODEL SELECTION The	preferred	model	for	analyzing long‐range	pollutant	transpor t	(i.e.,	distance s	greater	than 50	km)	is	the	CALPUFF	modeling	sys tem.		The	EPA‐approved	versio n	(Version	5.8)	of	the	CALPUFF model	was	used	to	determine	the possible	impacts	of	the	project on	Class	I	area	PSD	Increment, AQRV	at	Breton,	St.	Marks,	and	B radwell	Bay	and Significance	an alysis	for	Class	II	areas.

CALPUFF	is	a	multi‐layer,	multi‐s pecies,	non‐steady‐state	Lagra ngian	puff	model,	which	can simulate	the	effects	of	time‐	and space‐varying	meteorological conditions	on	pollutant	transport, transformation,	and	removal.		For	this	refined	analysis,	meteor ological	fields	generated	by	CALMET were	used	as	inputs	to	the	CALPU FF	model	to	ensure	that	the	eff ects	of	terrain	and	s patially	varying surface	characteristics	on	met eorology	were	considered.		In	add ition	to	meteorolo gical	data,	the CALPUFF	model	uses	several	other input	files	to	specify	source and	receptor	parameters.		The selection	and	control	of	CALPUFF options	are	determined	by	user ‐specific	inputs	contained	in	the control	file.

The	following	sections	describe the	modeling	domain,	meteorolog ical	data,	background concentrations,	and	model	implem entation	that	were	used	for	the air	quality	impact	analysis	of	the proposed	operations.



## 5.2. MODELING DOMAINS

The	Class	I	and	Class II	modeling	analysis was	performed	in	the Lambert	Conformal	Conic	(LCC) coordinate	system	base d	on	the	design	of	the VISTAS	Regional	Ha ze	Rule	(RHR)	modeling,	with standard	parallels	of	33o	N	and 45o	N	latitude,	and	reference	l atitude	and	longitude	of	40o	N	and	97o W	respectively. 48 

### VISTAS	RHR	Model	Domain	2	was	u tilized	as	the	CALMET	meteorol ogical domain. 49 

### The	different	VISTAS	RHR	Model Domains	are	show n	in	Figure	5‐ 1. 50

48

VISTAS, Protocol for the Application of the CALPUFF Model fo r Analyses of Best Available Retrofit Technology (BART) , December 22, 2005, revised August 31, 2006. 49

Based on Personal Communication, Phone conversation between Ms. Jill Webster (FWS) and Mr. Rahul Pendse (Trinity) on October 12, 2012; and E-mail from Ms. Jill Webs ter (FWS) to Mr. Dhesikan Venkatesan (Trinity) sent on October 10, 2012. 50

Obtained from the Atmospheric Stu dies Group (ASG) at TRC website - http://www.src.com/datasets/VISTAS_Files/VISTAS_Domains.pdfAnadarko Petroleum Corporat ion 5-2 Trinity Consultants 

### Figure 5

‐ 1. VISTAS RHR Model Domains

Three	separate	CALPUFF	computatio nal	domains	were	chosen	for	th e	two	worst‐case	locations listed	in	Table	2‐1.		The	first	computational	domain	(CD1)	enco mpassed	the	receptors	on	Breton NWR,	the	associated	worst‐case	lo cation	of	the	drillship	and	su pply	boat,	whil e	the	second computational	domain	(CD2)	encom passed	the	receptors	on	St.	Mar ks	NWR	and	Bradwell	Bay Wilderness,	the	associated	worst‐c ase	location	of	the	drillship and	supply	boat,	and	the	third. computational	domain	(CD3)	encom passed	the	receptors	on	Class	I I	areas	(inner/Outer	OCS boundary),	the	associated	worst‐c ase	location	of	the	drillship and	supply	bo at.		All	three computational	domains	were	chosen as	subsets	of	the	CALMET	mete orological	domain,	and provided	sufficient	area	beyond all	receptors	(i.e.,	50	km)	to allow	for	the	possibl e	recirculation	of puffs.		The	horizontal	domain	is comprised	of	grid	cells,	each containing	a	central	grid	point	at	which meteorological	and	computational parameters	are	calculated	at	e ach	time	step.		The	grid	resolution for	all	three	CD1,	CD2 and	CD3	was	taken	as 4	km.		Given	this	i nterval,	CD1	extended over	an	area	of 256	km	x	224	km,	and	consisted	o f	64	by	56	grid	cells,	while	CD 2	extended	over	an	area	of	388	km	x 288	km,	and	consisted	of	97	by	72 grid	cells	and	CD3	extended	o ver	an	area	of	800	km	x	408	km,	and consisted	of	200	by	102	grid	cells .		Calculations	supporting	th e	setup	of	the	com putational	domain are	provided	in	Appendix	D	for	reference.

Vertical	grid	structure	is	defin ed	by	the	cell	face	height.		Th e	cell	face	height	of	ea ch	cell	indicates	its vertical	extent.		The	vertical	d omain	is	composed	of	terrain‐fo llowing	grid	cells,	th e	number	and	sizeAnadarko Petroleum Corporat ion 5-3 Trinity Consultants 

### of	which	are	chosen	so	as	to	cons train	the	boundary	layer	in	wh ich	dispersion	and	chemical transformations	take	place.		Based	on	information	available	in the	VISTAS	RHR	Modeling	Protocol, and	the	IWAQM	guidance	document, the	vertical	grid	structure	se lected	for	this	analysis	is presented	below	in	Table	5‐1. 51 

### The	same	cell	face	heights	w ere	used	for	both	CALMET	and CALPUFF.

Table 5

‐ 1. Vertical Grid Structure

Vertical Grid Cell Cell Face Height (meters)

1 20 2 40 3 80 4 160 5 320 6 640 7 1,200 8 2,000 9 3,000 10 4,000



## 5.3. RECEPTOR LOCATIONS The	set	of	receptors	u sed	for	Class	I	and Class	II	analysis	are presented	below.



### 5.3.1. Receptors locations for Class I areas 52 

### The	National	Park	Service	(NPS) Air	Resources	Division	(ARD)	ha s	developed	a	database	of modeling	receptors	for	all	of	the Class	I	areas	in	the	United	S tates. 53 

### The	database	provides	the location	(lat/long,	decimal	degr ees)	coordinates	and	elevation information	for	re ceptors	for	each Class	I	area.		Receptor	location s	obtained	from	the	database	fo r	Breton	NWR,	St.	Marks	NWR,	and Bradwell	Bay	Wilderness	were	conv erted	to	the	LCC	coordinate	sy stem	using	appropriate conversion	factors	and	used	in	th e	Class	I	area	analyses.		Rece ptor	locations	as	utilized	in	the	model are	presented	in	Appendix	D	for	reference.

51 VISTAS, Protocol for the Application of the CALPUFF Model fo r Analyses of Best Available Retrofit Technology (BART) , December 22, 2005, revised August 31, 2006, and the U.S. EPA, IWAQM Phase 2 Summary Report and Recommendations for Modeling Long-Range Transport Impacts, Research Triangle Park, North Carolina, EPA-454/R95-006, December 1998. 52 Anadarko5-year permit Modeling Protocol - v5 after EPA Comments 53 http://www.nature.nps.gov/air/maps/receptors/index.cfmAnadarko Petroleum Corporat ion 5-4 Trinity Consultants 

### 5.3.2. Receptors locations for Class II areas 54 

### The	seaward	boundaries	and	Air	Q uality	Control	Regions	for	Loui siana,	Mississippi	and	Alabama extend	for	three	nautical	miles offshore	and	for	nine	nautical miles	offshore	Florida. 55 

### For	the	Class II	modeling	analysis,	discrete receptors	were	located	25	nautic al	miles	from	the	se award	boundaries of	Louisiana,	Mississippi,	Alabam a	and	Florida.		The	receptors were	placed	at	1‐km	intervals	as	per Guidance	received	from	EPA	Regio n	4.		The	actual	sets	of	recept ors	used	in	Cla ss	II	analysis	were provided	by	EPA	Region	4. 56 

### The	location	of	these	receptors is	shown	in	Appendix	B	above as continuous	dots	(Note:	receptors may	appear	as	a	solid	line	in Appendix	B	due	to	low	resolution). Because	all	of	these	receptors	a re	over	water,	terrain	elevatio ns	were	assigned	an	elevation	of	0	m (i.e.,	sea	level)	for	Class	II	impact	analysis.



## 5.4. TERRAIN PROCESSING FOR CLASS II ANALYSIS As	the	proposed	OCS	source	is	lo cated	in	the	GOM	and	correspond ing	Class	II	receptors	will	be placed	25	miles	away	from	respect ive	state	seaward	boundary,	th e	entire	modeling domain	will	be located	completely	over	water	in the	Gulf	of	Mex ico.		Therefore ,	all	modeled	sour ces	and	Class	II receptors	are	assumed	to	be	situat ed	at	sea	level	and	the	eleva tions	for	off‐property	sources	and receptors	will	be	set	to	zero	for the	Class	II	modeling	analysi s.



## 5.5. BUILDING DOWNWASH Building	downwash	accounts	for	t he	effects	of	nearby	structures on	the	flow	of	emissions	from	their respective	release	structures.		H owever,	building	downwash	effe cts	were	not	in cluded	in	the modeling	as	they	will	not	significantly	affect	concentrations	w hen	the	nearest	rece ptors	are	located more	than	50	km	from	the	worst‐ca se	drillship	location.		Hence, due	to	the	relativel y	large	distance of	the	proposed	drillship	from	t he	Class	I	and	Class	II	area,	b uilding	downwash	will	not	be	enabled. 57



## 5.6. CALMET METEOROLOGICAL PROCESSING CALMET	is	the	meteorological	prep rocessor	that	compiles	meteoro logical	data	from	raw observations	of	surface	and	upp er	air	conditions,	precipitation measurements,	mesoscale	model output,	and	geophysical	paramete rs	into	a	single	hourly,	gridde d	data	set	for	input	to	CALPUFF. Based	on	guidance	from the	FLM	and	EPA	Reg ion	4,	three	years	of mesoscale	meteorological	(MM) data	in	the	form	of	CALPUFF‐ready meteorological	files	for	the period	2001‐2003	(for	VISTAS Domain	2)	were	obtained	from	the Florida	Department	of	Environm ental	Protection	(DEP)	and	used in	this	analysis. 58 

### No	additional	meteorological	data	processing	was	performed	fo r	this	analysis.

54 Anadarko5-year permit Modeling Protocol - v5 after EPA Comments 55 U. S. Commission on Ocean Policy. Primer on Ocean Juri sdictions: Drawing Lines in the Water. Final Report. 56

Based on Personal Communication, E-mail from Mr. Stan Krivo (EPA Region 4) and Mr . Rahul Pendse (Trinity) on October 1, 2012. 57 Per guidance provided on Pg. 45 of the VISTAS, Protocol for the Application of th e CALPUFF Model for Analyses of Best Available Retrofit Technology (BART) , December 22, 2005, revised August 31, 2006. 58

Based on Personal Communication; Phone conversation between Ms. Jill Webster (FWS) and Mr. Rahul Pendse (Trinity) on October 12, 2012; Phone conversation between Mr. Stanley Krivo (EPA Region IV) and Mr. Rahul Pendse (Trinity) on October 10, 2012; and E-mail from Ms. Jill Webs ter (FWS) to Mr. Dhesikan Venkatesan (Trinity) sent on October 10, 2012. The meteorological data was obtained from Mr. Tom Rogers, Florida DEP, based on instructions from EPA Region 4.Anadarko Petroleum Corporat ion 5-5 Trinity Consultants 

## 5.7. CALPUFF MODEL PROCESSING Using	the	data	provided	by	CALME T,	CALPUFF	simulates	the	disper sion,	deposition ,	and	chemical transformation	of	discrete	puffs of	mass	from	emission	sources. Each	puff	contains	emissions	of	CO, NO X 

### ,	SO 2 

### ,	and	PM 10 

### and	is	advanced	throughout	the	domain	while	deposition	and	che mical transformation	processes	take	pla ce.		CALPUFF	is	a	Lagrangian	p uff	model,	the	principal	advantages of	which	are	that	pollutant	plumes	can	evolve	dynamically	and	c hemically	over	time	and	can respond	to	complex	winds	caused	b y	terrain	effects,	stagnation, or	recirculation.

The	emissions	data	input	into	CA LPUFF	for	sources	modeled	was	d iscussed	in	Section	2	of	this report.		Because	of	the	large	dist ance	from	the	source	to	the	C lass	I	and	Class	II areas,	building downwash	was	not	enabled. 59



### The	analysis	was	performed	with	t he	deposition	and	chemical	tra nsformation	algorithms	enabled for	Class	I	AQRV	analysis	and	di sabled	for	the	PSD	Class	I	and Class	II	analysis	as	requested	by	EPA Region	4.		Default	values	obtain ed	from	the	CALPUFF	model	libra ry	species	was	used	in	the modeling	to	perform	deposition	a nalysis.		A	full	resistance	mod el	is	provided	in	CALPUFF	for	the computation	of	dry	deposition	ra tes	of	gases	and	particulate	ma tter	as	a	function	of	geophysical parameters,	meteorolog ical	conditions,	and	pollutant	species. An	empirical	scavenging	coefficient approach	using	default	options	w as	enabled	in	CALPUFF	to	comput e	the	depletion	and	wet deposition	fluxes	resulting	fro m	precipitation	scavenging.

The	CALPUFF	model	is	capable	of simulating	linea r	chemical	tran sformation	effects	by	using pseudo‐first‐order	chemical	react ion	mechanisms	for	the	convers ions	of	SO 2 

### to	SO 4 

### ,	and	NO X 

### ,	which consists	of	nitric	oxide	(NO)	and	nitrogen	dioxide	(NO 2 

### ),	to	NO 3 

### and	HNO 3 

### .		In	this	analysis,	chemical transformations	involving	five	species	(SO 2 

### ,	SO 4 

### ,	NO X 

### ,	HNO 3 

### ,	and	NO 3 

### )	were	modeled	using	the MESOPUFF	II	chemical	transformati on	scheme,	in	accordance	with IWAQM	guidance. 60 

### In	addition, two	user‐selected	input	parameters	are	available	that	affect	th e	MESOPUFF	II	chemical transformation:	ammonia	concentr ations	and	ozone	concentrations .		The	selection	of	each parameter	is	discussed	separately.



### 5.7.1. Ozone

Ambient	ozone	concentr ations	can	be	input	to	the	model	as	a	bac kground	level	or	using	hourly, spatially	varying	observations.		F or	this	modeling	analysis,	da ta	from	the	ozone	mo nitor	in	Sumatra, Florida	(code	‐	SUM	156)	was	use d	due	to	its	proximity	to	the	m odeling	domain,	as	well	as	due	to	the availability	of	complete	data	fr om	this	station.		Information	o n	the	monitoring	station	was	obtained from	the	CASTNET	website. 61

59

VISTAS, Protocol for the Application of the CALPUFF Model fo r Analyses of Best Available Retrofit Technology (BART) , December 22, 2005, revised August 31, 2006. 60

U.S. EPA, IWAQM Phase 2 Summary Report and Recommendations for Modeling Long-Range Transport Impacts

, Research Triangle Park, North Carolina, EPA-454/R-95-006, December 1998. 61 Information on the site monitor is available at www.epa.gov/castnet/sites/sum156.html . Information on ozone data available at EPA’s CASNET website – www.epa.gov/castnet/data.html

.Anadarko Petroleum Corporat ion 5-6 Trinity Consultants 

### 5.7.2. Ammonia IWAQM	guidance	document	recommend s	the	use	of	spatially	constan t	background	ammonia concentrations	to	participate	in the	MESOPUFF	II	chemical	trans formation	mechanism. 62 

### In	the absence	of	an	extensive	monitori ng	network	for	ammonia	and	beca use	of	the	limitation	of	CALPUFF to	simulate	only	a	single,	domai n‐average	background	ammonia	le vel	for	each	month	of	analysis,	a single	value	was	used.		The	IWAQM	guidance	recommends	the	ammon ia	value	be	set	between	0.5 parts	per	billion	(ppb)	for	fores ted	areas	and	10	ppb	for	grass lands.		Based	on	guidance	received from	the	FLM	for	Breton	NWR,	the	ammonia	background	level	for	t he	analysis	was	set	at	3	ppb. 63 

### The	same	background	ammonia	conc entration	was	utilized	for	Clas s	I	and	Class	II	PS D	significance analysis.



## 5.8. CALPOST POSTPROCESSING ANALYSIS The	CALPOST	postproc essor	(Version	6.221)	was used	to	compute	t he	ambient	concentrations	of PM 10 

### ,	PM 2.5 

### ,	and	NO 2 

### at	Class	I	and	Class II	areas	for	assessmen t	against	the	PSD	C lass	I	area Increment	modeling	SIL s	and	Class	II	SILs, the	total	deposition of	sulfur	and	nitrogen	within	each Class	I	area	for	assessment	ag ainst	the	DAT,	and	the	98 th 

### percentile	of	the	24‐ho ur	average	change	in light	extinction	using	Method	8.

For	PM 10 

### assessment	against	th e	PSD	Class	I	and	Cl ass	II	area	SILs,	POS TUTIL	was	first	used	to combine	the	speciated	PM	(PMC,	P MF,	and	SOA)	to	calculate	total PM 10 

### concentration.		The	PM 10 

### concentration	was	then	processed using	CALPOST	and	compared	to the	appropriate	Class	I	area	and Class	II	area	SILs.

For	estimating	the	extent	of	nit rogen	and	sulfur	deposition,	PO STUTIL	was	first	used	to	combine	the appropriate	wet	and	dr y	fluxes	of	nitrogen‐ and	sulfur‐bearing species	deposited	as	particles	and gases.		These	combined	fluxes	w ere	then	processed	using	CALPOST to	obtain	the	nitrogen	and	sulfur deposition	values.

To	determine	the	change in	light	extinction from	the	proposed	p roject,	the	Ammonia	Limiting Method	(ALM)	was	first	used	to	repartition	the	nitrate	mass	and recompute	HNO 3 

### and	NO 3 

### concentrations.		This	methodolog y	estimates	the amount	of	ammon ia	available	for	the	formation	of ammonium	nitrates	after	the	pref erential	consumption	of	ammonia from	the	formation	of ammonium	sulfates.		The	ALM	was	applied	based	on	guidance	provi ded	in	the VISTAS BART Modeling Protocol

. 64 

### Visibility	change	was	then	computed	using	“Method	8”,	and	res ults	are reported	for	the	98 th 

### percentile	of	24‐hour	average	imp acts	for	“Method	8”,	for	each of	the	three years	of	meteorological	data	modeled.

62

U.S. EPA, IWAQM Phase 2 Summary Report and Recommendations for Modeling Long-Range Transport Impacts

, Research Triangle Park, North Carolina, EPA-454/R-95-006, December 1998. 63

Based on Personal Communication; Phone conversation between Ms. Jill Webster (FWS) and Mr. Rahul Pendse (Trinity) on October 12, 2012; and E-mail from Ms. Jill Webs ter (FWS) to Mr. Dhesikan Venkatesan (Trinity) sent on October 10, 2012.

64

VISTAS; Protocol for the Application of the CALPUFF Mo del for Analyses of Best Available Retrofit Technologies (BART) . December 22, 2005. http://www.vistas-sesarm.org/documents/BARTModelingProtocol_rev3.2_31Aug06.pdfAnadarko Petroleum Corporat ion 6-1 Trinity Consultants 

## 6. SUMMARY OF DISPERSION MODELING RESULTS

This	section	summarizes	the	resul ts	of	the	Class I	and	Class	II area	dispersion	modeling	analysis,	and demonstrates	that	the	proposed	p roject	does	not	cause	or	contri bute	to	an	exceedance	of	the	Class	I area	PSD	Increments,	and	does	not adversely	affect	any	AQRV	at any	Class	I	area.



## 6.1. CLASS I AREA PSD INCREMENT RESULTS Impacts	were	predicted	at	the	rec eptors	at	Breton	NWR,	St.	Mark s	NWR,	and	Bradwell	Bay Wilderness,	and	were	compared	to the	Class	I	area modeling	SILs .		Maximum	hourly emission	rates were	conservatively	mode led	for	comparison	w ith	both	the	24‐hou r	and	annual	averaging	period SILs,	and	no	puff	depletion	due to	wet	or	dry	de position	was	ac counted	for.		Additionally,	all	NO X 

### emissions	were	conservativel y	modeled	to	represent	NO 2 

### emissions.		A	comparison	of	the	pollutant concentrations	with	the	Class	I area	SILs	for	all	averaging	per iods	is	presented	in	Table	6‐1.		As shown	in	Table	6‐1,	predicted	concentrations	of	NO X 

### and	PM 10 

### do	not	exceed	the	SILs.		Therefore,	no further	modeling	with	regard	to the	Class	I	area	PSD	Increments was	conducted.

Given	the	conservative emission	rates	and	release	location	(i.e .,	nearest	possible	di stance	to	Class	I ambient	receptor),	an d	small	number	of	oth er	possible	increment consuming	PM 2.5 

### emission	sources in	the	EGOM,	the	use	of	the	PM 2.5 

### SIL	should	not	jeopard ize	PSD	Class	I	increm ent	at	this	area. The fact	that	the	maximum	modeled	pr oject	emissions are	lower	than the	SIL	(i.e.,	maximum	project impacts	are	91%	of	the	24‐hour	and	4%	of	the	annual	PM 2.5 

### SIL)	further	support s	the	use	of	the PM 2.5 

### SIL	as	an	indicator	of	insignif icant	project	impacts	in	this	a pplication.

Table 6

‐ 1. Air Dispersion Modeling Results ‐ Class I Area SILs

Class I Area Parameter Class I Area Modeling Significance Level (μg/m 3 

### ) Year 2001 (μg/m 3 

### ) 2002 (μg/m 3 

### ) 2003 (μg/m 3 

### )

Breton	NWR NO 2 

### ‐	Annual	 0.1 0.0162 0.0279 0.0268 

### PM 2.5 

### ‐	24	hour	 0.07 0.0639 0.0361 0.0606 

### PM 2.5 

### ‐	Annual	 0.06 0.0022 0.0035 0.0042 

### PM 10 

### ‐	24	hour	 0.32 0.0738 0.0417 0.0700 

### PM 10 

### ‐	Annual	 0.16 0.0025 0.0041 0.0049



### St.	Marks	NWR and	Bradwell	Bay Wilderness	* NO 2 

### ‐	Annual	 0.1 0.0027 0.0014 0.0025 

### PM 2.5 

### ‐	24	hour	 0.07 0.0139 0.0205 0.0146 

### PM 2.5 

### ‐	Annual	 0.06 0.0007 0.0005 0.0007 

### PM 10 

### ‐	24	hour	 0.32 0.0160 0.0236 0.0168 

### PM 10 

### ‐	Annual	 0.16 0.0008 0.0006 0.0008 *	St.	Marks	NWR	and	Bradwell	Bay	Wilderness	were	modeled	togeth er	by	including	all	receptors	from	both	of	these Class	I	areas.		Therefore,	the	concentration	values	presented	h ere	represent	the	worst‐case pollutant	concentrations for	both	Class	I	areas	considered together.		Individual	worst‐c ase	concentrations	for	the	two	Class	I	areas	are	equal	to or	lower	than	this	estimate.Anadarko Petroleum Corporat ion 6-2 Trinity Consultants 

## 6.2. DEPOSITION Potential	nitrogen	and	sulfur	de position	impacts	at	Breton	NWR, St.	Marks	NWR,	and	Bradwell	Bay Wilderness	were	calculated	using	t he	methodology	described	in	S ection	3.2.1,	and	compared	to	the DATs.		Although	the	sulfur	and	n itrogen	DATs	are	specified	base d	on	an	annual	averaging	period, maximum	hourly	emission	rates	f or	the	pollutants	were	conservat ively	modeled	to	estimate deposition	impacts.

The	maximum	deposition	for	both	nitrogen	and	sulfur	is	shown	in Table	6‐2.		Predicted	values	did not	exceed	the	respective	Nitrog en	and	Sulfur	DAT	values.		Ther efore,	no	adverse	impact	on	these Class	I	areas	is	expected	from	s ulfur	or	nitroge n	deposition.

Table 6

‐ 2. Nitrogen and Sulfur Deposition

Class I Area Parameter Class I DAT Values (Kg/ha/yr) Year 2001 (Kg/ha/yr) 2002 (Kg/ha/yr) 2003 (Kg/ha/yr)

Breton	NWR Nitrogen	 0.01 0.0033 0.0065 

### 7.16E‐03 Sulfur	 0.005 0.0001 0.0001 

### 1.73E‐05 St.	Marks	NWR and	Bradwell Bay	Wilderness	* Nitrogen	 0.01 2.04E‐03 2.82E‐03 

### 2.67E‐03

Sulfur	 0.005 1.49E‐05 2.09E‐05 

### 2.78E‐06 *	St.	Marks	NWR	and	Bradwell	Bay	Wilderness	were	modeled	togeth er	by	including	all	receptors	from	both	of	these Class	I	areas.		Therefore,	the	dep osition	values	presented	here represent	the	worst‐case	deposition	for	both	Class	I areas	considered	together.		Indiv idual	worst‐case	deposition	fo r	the	two	Class	I	areas	are	equal	to	or	lower	than	this estimate.



## 6.3. VISIBILITY

As	discussed	in	Section	3.2.2,	vi sibility	impacts,	in	terms	of regional	haze,	were	determined	for Breton	NWR	and	St.	Marks	NWR	using	“Method	8”.		Table6‐3	shows the	98 th 

### percentile	24‐hour average	visibility	impact	for	years	2001	through	2003	based	on CALPOST	“Method	8”	for	the proposed	project.Anadarko Petroleum Corporat ion 6-3 Trinity Consultants 

### Table 6

‐ 3. Method 8 ‐ 98th Percentile Extinction Change For Drilling Operations

Class I Area Parameter Year 2001 2002 2003

Breton	NWR	 Method	8 98th	Percentile	24‐hr Average Extinction	Change	% 5.18% 3.55% 4.42%



### No.	of	Days	>	5	% Extinction	Change	98th

Percentile	Threshold 2 0 0



### No.	of	Days	>	10	% Extinction	Change	98th

Percentile	Threshold 0 0 0



### St.	Marks

NWR Method	8 98th	Percentile	24‐hr Average Extinction	Change	% 1.23% 0.87% 1.18%



### No.	of	Days	>	5	% Extinction	Change	98th

Percentile	Threshold 0 0 0



### No.	of	Days	>	10	% Extinction	Change	98th

Percentile	Threshold 0 0 0



### As	summarized	in	Table	6‐3,	the	98 th 

### percentile	extinction	change	%	using	Method	8	is	less	than	5% for	both	2002	and	2003	modeled	y ears.		However,	the	estimated	i mpacts	of	the	proposed	project’s emissions	on	the	Breton	for	the 2001	modeled	year	shows	visibil ity	greater	than	the	FLM established	threshold	of	5%.		Ana darko	believes	due	to	the	cons ervative	assumptions	contained	in the	emission	estimates	and	model ing	analyses	as listed	below,	n o	significant	project‐related	impacts is	expected.

Two	point	source	modeled	at	the worst‐case	location	closest	to the	nearest	receptor; Modeled	performed	at	maximum	lb/ hr	emission	whereas	the	visibil ity	is	a	24‐hour	standard; and Temporary	nature	of	the	source	ac tivity	(drillship)	at	the	wors t‐case	modeled	location.

Therefore,	based	on	 this	methodology,	 the	proposed	project	will neither	‘cause’	nor	‘contribute’	 to visibility	impairment	in	the	Breton	NWR	and	St.	Marks	NWR	Class I	areas.Anadarko Petroleum Corporat ion 6-4 Trinity Consultants 

## 6.4. CLASS II AREA PSD SIL RESULTS Impacts	were	predicted	at	the	Inn er/Outer	OCS	boundary	(Class	I I	areas),	and	were	compared	to	the Class	II	area	modeling SILs.		Maximum	hourl y	emission	rates	wer e	conservatively	modeled	for comparison	with	the	1‐hour,	24‐ hour	and	annual	averaging	period SILs,	and	no	puff	depletion	due	to wet	or	dry	deposition	was	accounted	for.		Additionally,	all	NO X 

### emissions	were	conservatively modeled	to	represent	NO 2 

### emissions.		A	comparison	of	the	pollutant	concentrations	with the	Class	II area	SILs	for	all	averaging	peri ods	is	presented	in	Table	6‐4. Predicted	concentrations	of	NO X 

### ,	PM 10 

### , PM 2.5 

### and	CO	do	not	exceed	the	SILs.		H ence	no	further	analysis	is	re quired.

Due	to	the	same	reasons	as	descri bed	previously	in	case	of	Clas s	I	PM 2.5 

### SILs,	Anadarko	proposes	to utilize	Class	II	PM 2.5 

### SILs	as	a	valid	mechanism	to	a ssess	whether	a	full	impact	asse ssment	is necessary.		Given	the	conservative	emission	rates	and	receptor location	(i.e.,	placement	of	Class	II receptors	at	the	Inner/Outer	OC S	Boundary),	and	small	number	of other	possibl e	increment consuming	PM 2.5 

### emission	sources	in	the EGOM,	the	use	of	the	PM 2.5 

### SIL	should	not	jeopardize	PSD increment	consumptio n	at	this	area.

Table 6

‐ 4. Air Dispersion Modeling Results ‐ Class II Area SILs

Class II Area Parameter Class II Modeling Significance Level (μg/m 3 

### ) Years 2001 (μg/m 3 

### ) 2002 (μg/m 3 

### ) 2003 (μg/m 3 

### )

Receptors	25

miles	from

nearest shoreline NO 2 

### ‐ Annual 1	 0.08	 0.09	 0.09

NO 2 

### ‐	1	hour	 7.5	 5.01	 5.04	 4.94

PM 2.5 

### ‐	24 hour 1.2	 0.12	 0.09	 0.11

PM 2.5 

### ‐ Annual 0.3	 0.006	 0.007	 0.009

PM 10 

### ‐	24

hour 5	 0.14	 0.10	 0.13 CO	‐	1	hour	 2,000	 10.56	 13.66	 11.81 CO	‐	8	hour*	 500	 ‐‐	 ‐‐	 ‐‐ *	The	CO	8‐hour	SIL	level	for	Class	II	is	500	μg/m 3 .	Based	on	the	result	of	this	anal ysis,	modeled	impacts	of	CO	1 ‐hour values	are	well	below	the	CO	8‐ hour	Class	II	SIL	levels.	Hence Anadarko	can	expect	to	comply	with	CO	8‐hour	SILs	via compliance	with	the	CO	1‐hour	SIL	values



### The	fact	that	the	maximum	impact s	from	project	emissions	are	su bstantially	less	than the	SILs	(i.e., Table	6‐4	Class	II	maximum	proj ect	impacts	are 10%	of	the	24‐ho ur	and	3%	of	the	annual	PM 2.5 

### SIL) provides	further	support	for	the use	of	the	SILs	in	this	applic ation.		Hence,	it	is	reasonable	to conclude	that	a	proposed	source	with	a	predicted	PM 2.5 

### impact	below	the	PM 2.5 

### SIL	values	will	not cause	or	contribute	to	a	violation	of	the	PM 2.5 

### NAAQS.		Moreover,	as	shown	in	the	Table	6‐4,	all predicted	impacts	are	less	than their	respective	SILs.		Similar ly,	since	the	predicted	concentrations are	less	than	the	SMCs,	no	precon struction	monitoring	is	requir ed.



### 6.4.1. 

## Ozone Impact Analysis Ozone	is	an	air	pollut ant	formed	through	c omplex	chemical	react ions	of	NO X 

### and	VOC	emissions, during	periods	of	conducive	wea ther	conditions.		Ozone	is	more readily	formed	when	it	is	sunny	and hot	and	the	air	is	stagnant.		Conversely,	ozone	production	is	m ore	limited	when	i t	is	cloudy,	cool,Anadarko Petroleum Corporat ion 6-5 Trinity Consultants 

### rainy,	and	windy.		For	these	reasons,	ozone	concentrations	are generally	the	highest	during	the summer.		The	majority	of	troposph eric	ozone	format ion	occurs	wh en	NO X 

### ,	CO	and	VOCs	react	in	the atmosphere	in	the	presence	of	sunlight.		NO X 

### and	VOCs	are	ozone	prec ursors.		The	chemical reactions	involved	in	tropospheri c	ozone	formatio n	are	a	series of	complex	cycles	in	which	CO	and VOCs	are	oxidized	to	water	vapor	and	CO 2 

### .		Oxidation	begins	with	the	reaction	of	CO	with	the hydroxyl	radical.		The	hydrogen	atom	formed	by	this	reacts	rapi dly	with	oxygen	to	give	a	peroxy radical	HO 2 

### .		Peroxy	radicals	then	go	on to	react	with	NO	to	give	NO 2 

### ,	which	is	photolysed	to	give atomic	oxygen	and	through	reactio n	with	oxygen	a	molecule	of	oz one.		This	cycle	involving	HO X 

### and NO X 

### is	terminated	by	the reaction	of	OH	with	NO 2 

### to	form	nitric	acid	or	by	the	reaction	of	peroxy radicals	with	each	other	to	form peroxides.		The	chemistry	invo lving	VOCs	is	much	more	complex but	the	same	reaction	of	peroxy radicals	oxidizing	NO	to	NO 2 

### is	the	critical	step	leading	to	ozone formation.

Ozone	is	a	toxic	air	pollutant	t hat	have	NOx	and	VOC	as	its	pre cursors.		Since	the	project’s	estimated NO X 

### emissions	exceed	the	100	tpy,	i t	requires	assessment	of	the	pr oject’s	ozone	impacts.		The estimated	project	emi ssions	are	provided	in	Appendix	G.		An	ade quate	ozone	form ation	model	has not	been	developed	for	this	type of	sole	source	application.		H ence,	a	qualitat ive	or	relative assessment	was	be	performed	as presented	below.		This	assessmen t	is	similar	to	the	analysis conducted	by	the	EPA	Region	4	in the	preliminary	statement	of	b asis	for	permit	no.	OCS‐EPA‐R4006 and	OCS‐EPA‐R4012	prepared. 65,	66



### . According	to	the	information	pres ented	in	the	Oil	and	Gas	Explo ration	section	on	the	NOAA Ocean	Explorer	website,	there	ar e	3,858	oil	rigs	or	platforms	i n	the	Western	and	Central Planning	Areas	of	the	Gulf	of	Mexico	(GOM). 67 

### Further	analysis	based	on	the	2008	Emissions Inventory	from	the	Bureau	of	Saf ety	and	Environmental	Enforceme nt	(BSEE)	showed	that	some	of these	rigs	or	platform s	are	either	inactive ,	weren’t	included	i n	the	emissions	in ventory	report,	or have	been	decommissioned.		This inventory	indica tes	there	are	3 ,027	point	sources	that	emit	either VOC	or	NO X 

### located	in	the	Gulf	of	Mexico	west	of	87	degree	30	minute	long itude.

To	put	the	project’s	NO X 

### and	VOC	emissions	in	perspective, Anadarko	compared	the	propose d project	emissions	to Gulf	of	Mexico	NO X 

### and	VOC	emissions	reported	in the	2008	Gulfwide	Emission Inventory	Study	Report	(latest	i nventory	report	of	the	Bureau	o f	Energy	Management,	Regulation and	Enforcement). 68 

### Comparing	the	proposed	project emissions	with	these	estimates reveal	project emissions	are	less	th an	0.15%	of	total	NO X 

### and	0.1%	of	total	VOC	Gulf	of	Mexico	emissions.

Table 6

‐ 5. 2008 Emissions of NO x 

### and VOCs from Point Sources in the Gulf of Mexico

Pollutant Source Emissions (TPY) NOx	 1.388	Existing	Emission	Points	 74,286 VOC	 3026	Existing	Emission	Points	 60,824

For	further	comparison,	Table	6‐ 6	presents	the	statewide	total NO X 

### emissions	from	the	2008 National	Emissions	Inventory	(NEI )	for	the	states	around	the	Gu lf	of	Mexico	as	summarized	from

65 U.S. EPA Region 4, Preliminary Dete rmination & Statement of Basis Outer Continental Shelf Air Permit OCS-EPAR4006, August 19, 2011. 66 U.S. EPA Region 4, Preliminary Dete rmination & Statement of Basis Outer Continental Shelf Air Permit OCS-EPAR4012, August 9, 2013.

67

http://oceanexplorer.noaa.gov/explorations/06mexico/background/oil/oil.html 68 http://www.bsee.gov/Environmenta l-Stewardship/Environmental-Studi es/Gulf-of-Mexico-Region/AirQuality/2008-Gulfwide-Emission-Inventory.aspxAnadarko Petroleum Corporat ion 6-6 Trinity Consultants 

### information	provided	in	the	Tech nical	Support	Document	for	the EPA	Federal	Transportation	Rule (EPA‐HQ‐OAR‐2009‐0491). 69 

### This	document	also	showed	that on‐road	sources	contributed	th e most	to	the	total	NO X 

### emissions	in	the	Gulf	States	wh ich	was	approximately	36%.		Est imated	project emissions	are	insignificant	wh en	compared	with	the	total	NO X 

### emissions	of	nearly	4.0	million	tons from	the	five	Gulf	States.

Table 6

‐ 6. State ‐ Level Total NO x 

### Emissions for Gulf States in the 2008 NEI

State NO x 

### Emissions (TPY) Alabama	 421,467

Florida	 895,436 Louisiana	 548,439 Mississippi	 278,745 Texas	 1,827,200 Total 3,971,287

Additionally,	the	nearest	coastl ine	is	more	than	100	km	from	th e	worst‐case	drillship	location. Emissions	of	NO X 

### and	VOCs	from	the	project	need	to	travel	more	than	100	km	to	r each	the	coastline to	potentially	contribute	to	on‐ shore	ozone	concentrations.		In addition,	the	wind	s peeds	direction	in the	eastern	Gulf	of	Mexico	chang es	frequently,	so	there	is	a	di spersion	over	wide	area	of	project emissions.		Based	on	the	aforementioned	information	and	analysi s,	Anadarko’s	project	emissions are	not	expected	to	significantly	impact	ozone	formation	along and	near	the	coastal	areas	of	the	Gulf of	Mexico.



## 6.5. ADDITIONAL IMPACT ANALYSIS An	additional	impacts	analysis	was	performed	in	accordance	with PSD	requirements	in	40	CFR	§ 52.21(o).		The	analysis	evaluates the	potential	impacts	that	th e	emissions	from	the	proposed exploration	activities	could	hav e	on	growth,	soils,	vegetation, and	visibility	in	the	OCS	impact	area	of

concern.



### 6.5.1. 

## Growth analysis The	potential	growth	o f	industrial,	commerc ial,	and	residential sources	as	a	result	of	the	proposed project	activities	is	expected	t o	be	minimal.		T he	current	infr astructure	that	supports	the	well‐ developed	oil	and	gas activities	in	the	area just	west	of	the	p roposed	drilling	activities	is	adequate	to support	the	proposed	drilling	act ivities	and	no	additional	grow th	is	expected.		Considering	the temporary	nature	of	the	proposed OCS	source	and	Anadarko’s	deep understanding	of	the	robust	and well	developed	oil	and gas	industry	that	c urrently	supports	exp loration	activities,	Anadarko anticipates	that	any	industrial, commercial	and	residential	gro wth	will	be	insignificant



### 6.5.2. 

## Soils and vegetation analysis The	EPA,	through	the	CAA,	has	pr omulgated	primary	and	secondary ambient	air	quality	standards. The	primary	air	quality	standard s	are	set	at	levels	necessary	t o	provide	an	adequate	margin	of	safety to	protect	human	health.		The	se condary	standard s	are	set	at	le vels	to	provide	for	protection	of public	welfare,	where welfare	is	defined	t o	include	the	followi ng:		soils,	water,	vegetation,	manmade

69 http://www.epa.gov/ttnchie1/net/2008inventory.htmlAnadarko Petroleum Corporat ion 6-7 Trinity Consultants 

### materials,	animals,	wildlife,	we ather,	visibility,	climate,	and damage	to	or	deterioration	of property. 70



### To	satisfy	this	requirement,	Ana darko	assessed	the	modeling	res ults	against	the	secondary	NAAQS, for	determination	of	impacts	to soil	and	vegetation.		Since	the ambient	air	concentrations	are	found to	be	less	than	the	secondary	NAAQ S,	it	can	be	concluded	that	e missions	from	the	proposed	sources will	not	result	in	harmful	effects	to	either	soil	or	vegetation

. 71 

### Alternatively,	due	to	the	location	of the	proposed	exploration	activit ies	being	more	than	100	km	from the	nearest	shoreline	if	ambient air	concentrations	are	found	to	be	less	than	the	SILs,	it	will be	presumed	that	emissions	from	the proposed	sources	will	not	result in	harmful	effects	to	either	s oil	or	vegetation.



### 6.5.3. Visibility Analysis The	estimate	of	project	impact	o n	visibility	in the	project’s	i mpact	area	was	assessed	using	the	EPA plume	impact	screening	model	VISC REEN.	The	VISCREEN	model	estim ates	the	potential	visual impact	of	a	plume	caused	by	a	pr oposed	project’s	emissions.	A	V ISCREEN	Level	I	analysis	was conducted	to	estimate	if	the	emi ssions	from	the	proposed	explor ation	activities	could	result	in	an adverse	impact	on	visibility	at the	closest	visi bility	sensitiv e	Class	II	area	rec eptor.		VISCREEN conservatively	evaluated	whether a	plume	will	produce	a	plume	p erceptible	to	an	observer	under worst‐case	meteorological	condit ions	at	a	specific	location.		S everal	angles	between	the	observer’s line	of	sight	and	the	sun’s	ra diation	(θ)	were	considered.

The	application	of	VISCREEN	is	l imited	to	distances	less	than	o r	equal	to	50	km .		Therefore	to conservatively	estimate	the	poten tial	visual	impact	in	the	impa ct	area	that	is	more	than	90	km	from the	drilling	location,	the	50	km	distance	was	used	in	the	VISCR EEN	analysis.		The	project’s particulate	matter	and	NO X 

### emissions	were	provided	as	inputs as	shown	below	in	Table	6‐7. The default	values	were	used	for	bac kground	ozone,	stability	class, and	wind	speed	(default	background ozone	concentration	of	0.04	part s	per	million,	and	default	stab ility	and	wind	speed	are	6	and	1 meter	per	second,	respectively)	a s	shown	below	in Table	6‐8.		T he	closest	Class	II	area	receptor	to the	lease	block	in	the	Gulf	of	Mexico	was	located	on	the	edge	o f	the	Alabama	Delta,	more	than	50	km away.

Table 6

‐ 7 Level I VISCREEN Analysis Input Emission Rates

Pollutant Emissions (lb/hr) Particulate	Matter	 30 NO x 

### (as	NO 2 

### )	 624 Primary	NO 2 

### 0 Soot	 0 Primary	SO 4 

### 0

70 Sections	109	and	302	of	t he	Clean	Air	Act.

71 U.S.	EPA,	Office	of	Air	Quality	Planning	and	Standards, New Source Review Workshop Manual ,	Research Triangle	Park,	NC,	October	1990.Anadarko Petroleum Corporat ion 6-8 Trinity Consultants 

### Table 6

‐ 8 Level I VISCREEN Analysis Input Parameters Input Parameters Background	Ozone	(ppm)	 0.04 Background	Visual	Range	(km)	 25 Distance:	Source	to	Clos est	Class	I	area	(km)	 50 Distance:	Source	to	Fart hest	Class	I	area	(km)	 50 Source	Observer	Distance	(km)	 50 Plume‐	Source‐	Observer	Angle	 11.25 Stability	 6 Wind	Speed	(m/s)	 1.0

The	VISCREEN	model	is	designed	t o	determine	whet her	the	plume	f rom	an	emission	s ource	has	the potential	to	be	traceable	to	an untrained	observer	under	reason able	worst	case	conditions.		Two screening	criteria	are	used	to	ca rry	out	the	analy sis	and	if	ei ther	criterion	is exceeded,	more comprehensive	analyse s	were	carried	out.

The	first	criterion,	delta	E,	kno wn	as	the	plume perceptibility parameter	is	based	o n	the	difference	in color	and	brightness	between	the plume	and	the	background.		It is	also	known	as	the	color difference	parameter	and	depends on	three	factors,	namely,	brig htness	(L),	color	hue	(a)	and	color saturation	(b).		The	default	threshold	for	delta	E	is	2.0

The	second	criterion	is	call ed	the	green	contrast	value	(C plume 

### or	C p 

### ).		C p 

### is	defined	as	the	contrast	of a	plume	against	a	view ing	background	such	as	the	sky	or	a	terra in	feature.		Change	is	measured	in terms	of	green	color (wavelength=0.55	microns).		The	default	th reshold	for	Cp	is	0.05.

Table 6

‐ 9 Level I VISCREEN Analysis Results

Background Θ Distance (Source

‐ Observer) Delta E Contrast

Critical Plume Critical Plume Sky 10 50 2.00 1.870 0.05 ‐0.007 Sky 140 50 2.00 0.599 0.05 ‐0.011 Terrain 10 50 2.00 0.175 0.05 0.003 Terrain 140 50 2.00 0.055 0.05 0.002

Table	6‐9	provides	the	results	o f	the	VISCREEN	m odeling	for	the proposed	project.		As	shown	in	this table,	the	default	threshold	for	Delta	E	and	contrast	(Cp)	were not	exceeded	for	sky	or	terrain backgrounds	at	50	km	distance.		T herefore,	the	proposed	project activities	are	not	expected	to impair	the	local	visibility	at	t he	closest	areas	of	concern,	25 nautical	miles	from	each	state’s	seaward boundary	or	areas	furt her	away	than	that.Anadarko Petroleum Corporat ion Trinity Consultants 

## APPENDIX A: AREA MAP AND WORST-CASE DRILLSHIP LOCATION RELATIVE TO CLASS I AREAS281 km 167 km 285 km



## A A !

! Mobile

Tallahassee

Closest Receptor: Bradwell Bay Wilderness Closest Receptor: St. Marks NWR

Closest Receptor: Breton NWR

149 141 

# De Soto Canyon

Lloyd Ridge A A

542541

585

630629

714

940939938937 899 900 898 894893892891

936935934 758

855854 322321320319

366365 364363

413412411410409408407

457456455 451

853 498

985984983 980979 978

015014013

063 064 060

107 108 106 104

151 152 150

456 149

195194

239 240 238 232

326 319318

371370 367 363362

414 412411410 408407

499 768

847 591590589588587586

330 499

545544543

635634633632631

679678677676

723722721

286 846 769 770 771 772 773 592

636 637 638 639

680 681 682 683 684

815 816 817 724 725 726 727 728 729

287 288 289 243 244 245

331 332 333

547 548 761

849

586 146 145 143

191 190189188187

231230

281

325324

369368367

890

982

012011

055

366

539 806805

943

020 018

059058 057056

102101

146145144

187

231230

324 323

452451450

495

545 542

628627

672 671

718717 276275 274 233 232

318

406

454453452

497496

671670

716715

760759

804

856 852851

897 895

942

190189

234233

278 362

713

801

273 273

757 229

317

361 889

933

977 317

405

493

625

669 361 149 141



## GOM Lease Block Map ! Cities 

## A Worst Case Drillship Locations Closest Receptor: Bradwell Bay Wilderness Closest Receptor: Breton NWR Closest Receptor: St. Marks NWR

Selected Lease Blocks APC Active Leases

Current Leases Wedge

Protraction Areas

Date: 10/30/2012 Projection: GCS NAD 83 0 25 50 75 100

KilometersAnadarko Petroleum Corporat ion Trinity Consultants 

## APPENDIX B: WORST-CASE DRILLSHIP AND SUPPLY BOAT LOCATIONS RELATIVE TO CLASS II AREAAnadarko Petroleum Corporat ion Trinity Consultants 

## APPENDIX C: LIST OF ALL LEASE BLOCKS WITHIN THE WEDGE

### AREABLK AREABLK2 DC103 DC0103 DC104 DC0104 DC105 DC0105 DC141 DC0141 DC142 DC0142 DC143 DC0143 DC144 DC0144 DC145 DC0145 DC146 DC0146 DC147 DC0147 DC148 DC0148 DC149 DC0149 DC185 DC0185 DC186 DC0186 DC187 DC0187 DC188 DC0188 DC189 DC0189 DC190 DC0190 DC191 DC0191 DC192 DC0192 DC193 DC0193 DC229 DC0229 DC230 DC0230 DC231 DC0231 DC232 DC0232 DC233 DC0233 DC234 DC0234 DC235 DC0235 DC236 DC0236 DC237 DC0237 DC273 DC0273 DC274 DC0274 DC275 DC0275 DC276 DC0276 DC277 DC0277 DC278 DC0278 DC279 DC0279 DC280 DC0280 DC281 DC0281 DC317 DC0317 DC318 DC0318 DC319 DC0319 DC320 DC0320 DC321 DC0321 DC322 DC0322 DC323 DC0323

### AREABLK AREABLK2 DC324 DC0324 DC325 DC0325 DC326 DC0326 DC361 DC0361 DC362 DC0362 DC363 DC0363 DC364 DC0364 DC365 DC0365 DC366 DC0366 DC367 DC0367 DC368 DC0368 DC369 DC0369 DC370 DC0370 DC405 DC0405 DC406 DC0406 DC407 DC0407 DC408 DC0408 DC409 DC0409 DC410 DC0410 DC411 DC0411 DC412 DC0412 DC413 DC0413 DC414 DC0414 DC449 DC0449 DC450 DC0450 DC451 DC0451 DC452 DC0452 DC453 DC0453 DC454 DC0454 DC455 DC0455 DC456 DC0456 DC457 DC0457 DC458 DC0458 DC459 DC0459 DC460 DC0460 DC493 DC0493 DC494 DC0494 DC495 DC0495 DC496 DC0496 DC497 DC0497 DC498 DC0498 DC499 DC0499 DC500 DC0500 DC501 DC0501 DC502 DC0502 DC503 DC0503

### AREABLK AREABLK2 DC504 DC0504 DC505 DC0505 DC537 DC0537 DC538 DC0538 DC539 DC0539 DC540 DC0540 DC541 DC0541 DC542 DC0542 DC543 DC0543 DC544 DC0544 DC545 DC0545 DC546 DC0546 DC547 DC0547 DC548 DC0548 DC549 DC0549 DC550 DC0550 DC581 DC0581 DC582 DC0582 DC583 DC0583 DC584 DC0584 DC585 DC0585 DC586 DC0586 DC587 DC0587 DC588 DC0588 DC589 DC0589 DC590 DC0590 DC591 DC0591 DC592 DC0592 DC593 DC0593 DC594 DC0594 DC595 DC0595 DC625 DC0625 DC626 DC0626 DC627 DC0627 DC628 DC0628 DC629 DC0629 DC630 DC0630 DC631 DC0631 DC632 DC0632 DC633 DC0633 DC634 DC0634 DC635 DC0635 DC636 DC0636 DC637 DC0637 DC638 DC0638 DC639 DC0639

### AREABLK AREABLK2 DC640 DC0640 DC669 DC0669 DC670 DC0670 DC671 DC0671 DC672 DC0672 DC673 DC0673 DC674 DC0674 DC675 DC0675 DC676 DC0676 DC677 DC0677 DC678 DC0678 DC679 DC0679 DC680 DC0680 DC681 DC0681 DC682 DC0682 DC683 DC0683 DC684 DC0684 DC685 DC0685 DC713 DC0713 DC714 DC0714 DC715 DC0715 DC716 DC0716 DC717 DC0717 DC718 DC0718 DC719 DC0719 DC720 DC0720 DC721 DC0721 DC722 DC0722 DC723 DC0723 DC724 DC0724 DC725 DC0725 DC726 DC0726 DC727 DC0727 DC728 DC0728 DC729 DC0729 DC757 DC0757 DC758 DC0758 DC759 DC0759 DC760 DC0760 DC761 DC0761 DC762 DC0762 DC763 DC0763 DC764 DC0764 DC765 DC0765 DC766 DC0766 DC767 DC0767

### AREABLK AREABLK2 DC768 DC0768 DC769 DC0769 DC770 DC0770 DC771 DC0771 DC772 DC0772 DC773 DC0773 DC801 DC0801 DC802 DC0802 DC803 DC0803 DC804 DC0804 DC805 DC0805 DC806 DC0806 DC807 DC0807 DC808 DC0808 DC809 DC0809 DC810 DC0810 DC811 DC0811 DC812 DC0812 DC813 DC0813 DC814 DC0814 DC815 DC0815 DC816 DC0816 DC817 DC0817 DC818 DC0818 DC845 DC0845 DC846 DC0846 DC847 DC0847 DC848 DC0848 DC849 DC0849 DC850 DC0850 DC851 DC0851 DC852 DC0852 DC853 DC0853 DC854 DC0854 DC855 DC0855 DC856 DC0856 DC857 DC0857 DC858 DC0858 DC859 DC0859 DC860 DC0860 DC861 DC0861 DC862 DC0862 DC889 DC0889 DC890 DC0890 DC891 DC0891 DC892 DC0892

### AREABLK AREABLK2 DC893 DC0893 DC894 DC0894 DC895 DC0895 DC896 DC0896 DC897 DC0897 DC898 DC0898 DC899 DC0899 DC900 DC0900 DC901 DC0901 DC902 DC0902 DC903 DC0903 DC904 DC0904 DC905 DC0905 DC906 DC0906 DC933 DC0933 DC934 DC0934 DC935 DC0935 DC936 DC0936 DC937 DC0937 DC938 DC0938 DC939 DC0939 DC940 DC0940 DC941 DC0941 DC942 DC0942 DC943 DC0943 DC944 DC0944 DC945 DC0945 DC946 DC0946 DC947 DC0947 DC948 DC0948 DC949 DC0949 DC950 DC0950 DC977 DC0977 DC978 DC0978 DC979 DC0979 DC980 DC0980 DC981 DC0981 DC982 DC0982 DC983 DC0983 DC984 DC0984 DC985 DC0985 DC986 DC0986 DC987 DC0987 DC988 DC0988 DC989 DC0989 DC990 DC0990

### AREABLK AREABLK2 DC991 DC0991 DC992 DC0992 DC993 DC0993 DC994 DC0994 FP009 FP0009 FP010 FP0010 FP011 FP0011 FP012 FP0012 FP013 FP0013 FP014 FP0014 FP015 FP0015 FP016 FP0016 FP017 FP0017 FP018 FP0018 FP019 FP0019 FP020 FP0020 FP021 FP0021 FP022 FP0022 FP023 FP0023 FP024 FP0024 FP025 FP0025 FP026 FP0026 FP053 FP0053 FP054 FP0054 FP055 FP0055 FP056 FP0056 FP057 FP0057 FP058 FP0058 FP059 FP0059 FP060 FP0060 FP061 FP0061 FP062 FP0062 FP063 FP0063 FP064 FP0064 FP065 FP0065 FP066 FP0066 FP067 FP0067 FP068 FP0068 FP069 FP0069 FP070 FP0070 FP097 FP0097 FP098 FP0098 FP099 FP0099 FP100 FP0100 FP101 FP0101 FP102 FP0102

### AREABLK AREABLK2 FP103 FP0103 FP104 FP0104 FP105 FP0105 FP106 FP0106 FP107 FP0107 FP108 FP0108 FP109 FP0109 FP110 FP0110 FP111 FP0111 FP112 FP0112 FP113 FP0113 FP114 FP0114 FP141 FP0141 FP142 FP0142 FP143 FP0143 FP144 FP0144 FP145 FP0145 FP146 FP0146 FP147 FP0147 FP148 FP0148 FP149 FP0149 FP150 FP0150 FP151 FP0151 FP152 FP0152 FP153 FP0153 FP154 FP0154 FP155 FP0155 FP156 FP0156 FP157 FP0157 FP158 FP0158 FP185 FP0185 FP186 FP0186 FP187 FP0187 FP188 FP0188 FP189 FP0189 FP190 FP0190 FP191 FP0191 FP192 FP0192 FP193 FP0193 FP194 FP0194 FP195 FP0195 FP196 FP0196 FP197 FP0197 FP198 FP0198 FP199 FP0199 FP200 FP0200

### AREABLK AREABLK2 FP201 FP0201 FP202 FP0202 FP229 FP0229 FP230 FP0230 FP231 FP0231 FP232 FP0232 FP233 FP0233 FP234 FP0234 FP235 FP0235 FP236 FP0236 FP237 FP0237 FP238 FP0238 FP239 FP0239 FP240 FP0240 FP241 FP0241 FP242 FP0242 FP243 FP0243 FP244 FP0244 FP245 FP0245 FP246 FP0246 FP273 FP0273 FP274 FP0274 FP275 FP0275 FP276 FP0276 FP277 FP0277 FP278 FP0278 FP279 FP0279 FP280 FP0280 FP281 FP0281 FP282 FP0282 FP283 FP0283 FP284 FP0284 FP285 FP0285 FP286 FP0286 FP287 FP0287 FP288 FP0288 FP289 FP0289 FP290 FP0290 FP317 FP0317 FP318 FP0318 FP319 FP0319 FP320 FP0320 FP321 FP0321 FP322 FP0322 FP323 FP0323 FP324 FP0324

### AREABLK AREABLK2 FP325 FP0325 FP326 FP0326 FP327 FP0327 FP328 FP0328 FP329 FP0329 FP330 FP0330 FP331 FP0331 FP332 FP0332 FP333 FP0333 FP334 FP0334 FP363 FP0363 FP364 FP0364 FP365 FP0365 FP366 FP0366 FP367 FP0367 FP368 FP0368 FP369 FP0369 FP370 FP0370 FP371 FP0371 FP372 FP0372 FP373 FP0373 FP374 FP0374 FP375 FP0375 FP376 FP0376 FP377 FP0377 FP378 FP0378 FP414 FP0414 FP415 FP0415 FP416 FP0416 FP417 FP0417 FP418 FP0418 FP419 FP0419 FP420 FP0420 FP421 FP0421 FP422 FP0422 FP459 FP0459 FP460 FP0460 FP461 FP0461 FP462 FP0462 FP463 FP0463 FP464 FP0464 FP465 FP0465 FP466 FP0466 FP503 FP0503 FP504 FP0504 FP505 FP0505

### AREABLK AREABLK2 FP506 FP0506 FP507 FP0507 FP508 FP0508 FP509 FP0509 FP510 FP0510 FP548 FP0548 FP549 FP0549 FP550 FP0550 FP551 FP0551 FP552 FP0552 FP553 FP0553 FP554 FP0554 FP594 FP0594 FP595 FP0595 FP596 FP0596 FP597 FP0597 FP598 FP0598 FP639 FP0639 FP640 FP0640 FP641 FP0641 FP642 FP0642 FP685 FP0685 FP686 FP0686 HE009 HE0009 HE010 HE0010 HE011 HE0011 HE012 HE0012 HE013 HE0013 HE014 HE0014 HE015 HE0015 HE016 HE0016 HE017 HE0017 HE018 HE0018 HE019 HE0019 HE020 HE0020 HE021 HE0021 HE022 HE0022 HE023 HE0023 HE024 HE0024 HE025 HE0025 HE026 HE0026 HE053 HE0053 HE054 HE0054 HE055 HE0055 HE056 HE0056 HE057 HE0057

### AREABLK AREABLK2 HE058 HE0058 HE059 HE0059 HE060 HE0060 HE061 HE0061 HE062 HE0062 HE063 HE0063 HE064 HE0064 HE065 HE0065 HE066 HE0066 HE067 HE0067 HE068 HE0068 HE069 HE0069 HE070 HE0070 HE097 HE0097 HE098 HE0098 HE099 HE0099 HE100 HE0100 HE101 HE0101 HE102 HE0102 HE103 HE0103 HE104 HE0104 HE105 HE0105 HE106 HE0106 HE107 HE0107 HE108 HE0108 HE109 HE0109 HE110 HE0110 HE111 HE0111 HE112 HE0112 HE113 HE0113 HE114 HE0114 HE141 HE0141 HE142 HE0142 HE143 HE0143 HE144 HE0144 HE145 HE0145 HE146 HE0146 HE147 HE0147 HE148 HE0148 HE149 HE0149 HE150 HE0150 HE151 HE0151 HE152 HE0152 HE153 HE0153 HE154 HE0154 HE155 HE0155

### AREABLK AREABLK2 HE156 HE0156 HE157 HE0157 HE158 HE0158 HE185 HE0185 HE186 HE0186 HE187 HE0187 HE188 HE0188 HE189 HE0189 HE190 HE0190 HE191 HE0191 HE192 HE0192 HE193 HE0193 HE194 HE0194 HE195 HE0195 HE196 HE0196 HE197 HE0197 HE198 HE0198 HE199 HE0199 HE200 HE0200 HE201 HE0201 HE202 HE0202 HE229 HE0229 HE230 HE0230 HE231 HE0231 HE232 HE0232 HE233 HE0233 HE234 HE0234 HE235 HE0235 HE236 HE0236 HE237 HE0237 HE238 HE0238 HE239 HE0239 HE240 HE0240 HE241 HE0241 HE242 HE0242 HE243 HE0243 HE244 HE0244 HE245 HE0245 HE246 HE0246 HE273 HE0273 HE274 HE0274 HE275 HE0275 HE276 HE0276 HE277 HE0277 HE278 HE0278 HE279 HE0279

### AREABLK AREABLK2 HE280 HE0280 HE281 HE0281 HE282 HE0282 HE283 HE0283 HE284 HE0284 HE285 HE0285 HE286 HE0286 HE287 HE0287 HE288 HE0288 HE289 HE0289 HE290 HE0290 HE317 HE0317 HE318 HE0318 HE319 HE0319 HE320 HE0320 HE321 HE0321 HE322 HE0322 HE323 HE0323 HE324 HE0324 HE325 HE0325 HE326 HE0326 HE327 HE0327 HE328 HE0328 HE329 HE0329 HE330 HE0330 HE331 HE0331 HE332 HE0332 HE333 HE0333 HE334 HE0334 HE361 HE0361 HE362 HE0362 HE363 HE0363 HE364 HE0364 HE365 HE0365 HE366 HE0366 HE367 HE0367 HE368 HE0368 HE369 HE0369 HE370 HE0370 HE371 HE0371 HE372 HE0372 HE373 HE0373 HE374 HE0374 HE375 HE0375 HE376 HE0376 HE377 HE0377

### AREABLK AREABLK2 HE378 HE0378 HE405 HE0405 HE406 HE0406 HE407 HE0407 HE408 HE0408 HE409 HE0409 HE410 HE0410 HE411 HE0411 HE412 HE0412 HE413 HE0413 HE414 HE0414 HE415 HE0415 HE416 HE0416 HE417 HE0417 HE418 HE0418 HE419 HE0419 HE420 HE0420 HE421 HE0421 HE422 HE0422 HE449 HE0449 HE450 HE0450 HE451 HE0451 HE452 HE0452 HE453 HE0453 HE454 HE0454 HE455 HE0455 HE456 HE0456 HE457 HE0457 HE458 HE0458 HE459 HE0459 HE460 HE0460 HE461 HE0461 HE462 HE0462 HE463 HE0463 HE464 HE0464 HE465 HE0465 HE466 HE0466 HE493 HE0493 HE494 HE0494 HE495 HE0495 HE496 HE0496 HE497 HE0497 HE498 HE0498 HE499 HE0499 HE500 HE0500 HE501 HE0501

### AREABLK AREABLK2 HE502 HE0502 HE503 HE0503 HE504 HE0504 HE505 HE0505 HE506 HE0506 HE507 HE0507 HE508 HE0508 HE509 HE0509 HE510 HE0510 HE537 HE0537 HE538 HE0538 HE539 HE0539 HE540 HE0540 HE541 HE0541 HE542 HE0542 HE543 HE0543 HE544 HE0544 HE545 HE0545 HE546 HE0546 HE547 HE0547 HE548 HE0548 HE549 HE0549 HE550 HE0550 HE551 HE0551 HE552 HE0552 HE553 HE0553 HE554 HE0554 HE581 HE0581 HE582 HE0582 HE583 HE0583 HE584 HE0584 HE585 HE0585 HE586 HE0586 HE587 HE0587 HE588 HE0588 HE589 HE0589 HE590 HE0590 HE591 HE0591 HE592 HE0592 HE593 HE0593 HE594 HE0594 HE595 HE0595 HE596 HE0596 HE597 HE0597 HE598 HE0598 HE625 HE0625

### AREABLK AREABLK2 HE626 HE0626 HE627 HE0627 HE628 HE0628 HE629 HE0629 HE630 HE0630 HE631 HE0631 HE632 HE0632 HE633 HE0633 HE634 HE0634 HE635 HE0635 HE636 HE0636 HE637 HE0637 HE638 HE0638 HE639 HE0639 HE640 HE0640 HE641 HE0641 HE642 HE0642 HE669 HE0669 HE670 HE0670 HE671 HE0671 HE672 HE0672 HE673 HE0673 HE674 HE0674 HE675 HE0675 HE676 HE0676 HE677 HE0677 HE678 HE0678 HE679 HE0679 HE680 HE0680 HE681 HE0681 HE682 HE0682 HE683 HE0683 HE684 HE0684 HE685 HE0685 HE686 HE0686 HE713 HE0713 HE714 HE0714 HE715 HE0715 HE716 HE0716 HE717 HE0717 HE718 HE0718 HE719 HE0719 HE720 HE0720 HE721 HE0721 HE722 HE0722 HE723 HE0723

### AREABLK AREABLK2 HE724 HE0724 HE725 HE0725 HE726 HE0726 HE727 HE0727 HE728 HE0728 HE729 HE0729 HE730 HE0730 HE757 HE0757 HE758 HE0758 HE759 HE0759 HE760 HE0760 HE761 HE0761 HE762 HE0762 HE763 HE0763 HE764 HE0764 HE765 HE0765 HE766 HE0766 HE767 HE0767 HE768 HE0768 HE769 HE0769 HE770 HE0770 HE771 HE0771 HE772 HE0772 HE773 HE0773 HE774 HE0774 HE801 HE0801 HE802 HE0802 HE803 HE0803 HE804 HE0804 HE805 HE0805 HE806 HE0806 HE807 HE0807 HE808 HE0808 HE809 HE0809 HE810 HE0810 HE811 HE0811 HE812 HE0812 HE813 HE0813 HE814 HE0814 HE815 HE0815 HE816 HE0816 HE817 HE0817 HE818 HE0818 HE845 HE0845 HE846 HE0846 HE847 HE0847

### AREABLK AREABLK2 HE848 HE0848 HE849 HE0849 HE850 HE0850 HE851 HE0851 HE852 HE0852 HE853 HE0853 HE854 HE0854 HE855 HE0855 HE856 HE0856 HE857 HE0857 HE858 HE0858 HE859 HE0859 HE860 HE0860 HE861 HE0861 HE862 HE0862 HE889 HE0889 HE890 HE0890 HE891 HE0891 HE892 HE0892 HE893 HE0893 HE894 HE0894 HE895 HE0895 HE896 HE0896 HE897 HE0897 HE898 HE0898 HE899 HE0899 HE900 HE0900 HE901 HE0901 HE902 HE0902 HE903 HE0903 HE904 HE0904 HE905 HE0905 HE906 HE0906 HE933 HE0933 HE934 HE0934 HE935 HE0935 HE936 HE0936 HE937 HE0937 HE938 HE0938 HE939 HE0939 HE940 HE0940 HE941 HE0941 HE942 HE0942 HE943 HE0943 HE944 HE0944 HE945 HE0945

### AREABLK AREABLK2 HE946 HE0946 HE947 HE0947 HE948 HE0948 HE949 HE0949 HE950 HE0950 HE977 HE0977 HE978 HE0978 HE979 HE0979 HE980 HE0980 HE981 HE0981 HE982 HE0982 HE983 HE0983 HE984 HE0984 HE985 HE0985 HE986 HE0986 HE987 HE0987 HE988 HE0988 HE989 HE0989 HE990 HE0990 HE991 HE0991 HE992 HE0992 HE993 HE0993 HE994 HE0994 LL009 LL0009 LL010 LL0010 LL011 LL0011 LL012 LL0012 LL013 LL0013 LL014 LL0014 LL015 LL0015 LL016 LL0016 LL017 LL0017 LL018 LL0018 LL019 LL0019 LL020 LL0020 LL021 LL0021 LL022 LL0022 LL023 LL0023 LL024 LL0024 LL025 LL0025 LL026 LL0026 LL053 LL0053 LL054 LL0054 LL055 LL0055 LL056 LL0056 LL057 LL0057

### AREABLK AREABLK2 LL058 LL0058 LL059 LL0059 LL060 LL0060 LL061 LL0061 LL062 LL0062 LL063 LL0063 LL064 LL0064 LL065 LL0065 LL066 LL0066 LL067 LL0067 LL068 LL0068 LL069 LL0069 LL070 LL0070 LL097 LL0097 LL098 LL0098 LL099 LL0099 LL100 LL0100 LL101 LL0101 LL102 LL0102 LL103 LL0103 LL104 LL0104 LL105 LL0105 LL106 LL0106 LL107 LL0107 LL108 LL0108 LL109 LL0109 LL110 LL0110 LL111 LL0111 LL112 LL0112 LL113 LL0113 LL114 LL0114 LL141 LL0141 LL142 LL0142 LL143 LL0143 LL144 LL0144 LL145 LL0145 LL146 LL0146 LL147 LL0147 LL148 LL0148 LL149 LL0149 LL150 LL0150 LL151 LL0151 LL152 LL0152 LL153 LL0153 LL154 LL0154 LL155 LL0155

### AREABLK AREABLK2 LL156 LL0156 LL157 LL0157 LL158 LL0158 LL185 LL0185 LL186 LL0186 LL187 LL0187 LL188 LL0188 LL189 LL0189 LL190 LL0190 LL191 LL0191 LL192 LL0192 LL193 LL0193 LL194 LL0194 LL195 LL0195 LL196 LL0196 LL197 LL0197 LL198 LL0198 LL199 LL0199 LL200 LL0200 LL201 LL0201 LL202 LL0202 LL229 LL0229 LL230 LL0230 LL231 LL0231 LL232 LL0232 LL233 LL0233 LL234 LL0234 LL235 LL0235 LL236 LL0236 LL237 LL0237 LL238 LL0238 LL239 LL0239 LL240 LL0240 LL241 LL0241 LL242 LL0242 LL243 LL0243 LL244 LL0244 LL245 LL0245 LL246 LL0246 LL273 LL0273 LL274 LL0274 LL275 LL0275 LL276 LL0276 LL277 LL0277 LL278 LL0278 LL279 LL0279

### AREABLK AREABLK2 LL280 LL0280 LL281 LL0281 LL282 LL0282 LL283 LL0283 LL284 LL0284 LL285 LL0285 LL286 LL0286 LL287 LL0287 LL288 LL0288 LL289 LL0289 LL290 LL0290 LL317 LL0317 LL318 LL0318 LL319 LL0319 LL320 LL0320 LL321 LL0321 LL322 LL0322 LL323 LL0323 LL324 LL0324 LL325 LL0325 LL326 LL0326 LL327 LL0327 LL328 LL0328 LL329 LL0329 LL330 LL0330 LL331 LL0331 LL332 LL0332 LL333 LL0333 LL334 LL0334 LL361 LL0361 LL362 LL0362 LL363 LL0363 LL364 LL0364 LL365 LL0365 LL366 LL0366 LL367 LL0367 LL368 LL0368 LL369 LL0369 LL370 LL0370 LL371 LL0371 LL372 LL0372 LL373 LL0373 LL374 LL0374 LL375 LL0375 LL376 LL0376 LL377 LL0377

### AREABLK AREABLK2 LL378 LL0378 LL405 LL0405 LL406 LL0406 LL407 LL0407 LL408 LL0408 LL409 LL0409 LL410 LL0410 LL411 LL0411 LL412 LL0412 LL413 LL0413 LL414 LL0414 LL415 LL0415 LL416 LL0416 LL417 LL0417 LL418 LL0418 LL419 LL0419 LL420 LL0420 LL421 LL0421 LL422 LL0422 LL449 LL0449 LL450 LL0450 LL451 LL0451 LL452 LL0452 LL453 LL0453 LL454 LL0454 LL455 LL0455 LL456 LL0456 LL457 LL0457 LL458 LL0458 LL459 LL0459 LL460 LL0460 LL461 LL0461 LL462 LL0462 LL463 LL0463 LL464 LL0464 LL465 LL0465 LL466 LL0466 LL493 LL0493 LL494 LL0494 LL495 LL0495 LL496 LL0496 LL497 LL0497 LL498 LL0498 LL499 LL0499 LL500 LL0500 LL501 LL0501

### AREABLK AREABLK2 LL502 LL0502 LL503 LL0503 LL504 LL0504 LL505 LL0505 LL506 LL0506 LL507 LL0507 LL508 LL0508 LL509 LL0509 LL510 LL0510 LL537 LL0537 LL538 LL0538 LL539 LL0539 LL540 LL0540 LL541 LL0541 LL542 LL0542 LL543 LL0543 LL544 LL0544 LL545 LL0545 LL546 LL0546 LL547 LL0547 LL548 LL0548 LL549 LL0549 LL550 LL0550 LL551 LL0551 LL552 LL0552 LL553 LL0553 LL554 LL0554 LL581 LL0581 LL582 LL0582 LL583 LL0583 LL584 LL0584 LL585 LL0585 LL586 LL0586 LL587 LL0587 LL588 LL0588 LL589 LL0589 LL590 LL0590 LL591 LL0591 LL592 LL0592 LL593 LL0593 LL594 LL0594 LL595 LL0595 LL596 LL0596 LL597 LL0597 LL598 LL0598 LL625 LL0625

### AREABLK AREABLK2 LL626 LL0626 LL627 LL0627 LL628 LL0628 LL629 LL0629 LL630 LL0630 LL631 LL0631 LL632 LL0632 LL633 LL0633 LL634 LL0634 LL635 LL0635 LL636 LL0636 LL637 LL0637 LL638 LL0638 LL639 LL0639 LL640 LL0640 LL641 LL0641 LL642 LL0642 LL669 LL0669 LL670 LL0670 LL671 LL0671 LL672 LL0672 LL673 LL0673 LL674 LL0674 LL675 LL0675 LL676 LL0676 LL677 LL0677 LL678 LL0678 LL679 LL0679 LL680 LL0680 LL681 LL0681 LL682 LL0682 LL683 LL0683 LL684 LL0684 LL685 LL0685 LL686 LL0686 LL713 LL0713 LL714 LL0714 LL715 LL0715 LL716 LL0716 LL717 LL0717 LL718 LL0718 LL719 LL0719 LL720 LL0720 LL721 LL0721 LL722 LL0722 LL723 LL0723

### AREABLK AREABLK2 LL724 LL0724 LL725 LL0725 LL726 LL0726 LL727 LL0727 LL728 LL0728 LL729 LL0729 LL730 LL0730 LL757 LL0757 LL758 LL0758 LL759 LL0759 LL760 LL0760 LL761 LL0761 LL762 LL0762 LL763 LL0763 LL764 LL0764 LL765 LL0765 LL766 LL0766 LL767 LL0767 LL768 LL0768 LL769 LL0769 LL770 LL0770 LL771 LL0771 LL772 LL0772 LL773 LL0773 LL774 LL0774 LL801 LL0801 LL802 LL0802 LL803 LL0803 LL804 LL0804 LL805 LL0805 LL806 LL0806 LL807 LL0807 LL808 LL0808 LL809 LL0809 LL810 LL0810 LL811 LL0811 LL812 LL0812 LL813 LL0813 LL814 LL0814 LL815 LL0815 LL816 LL0816 LL817 LL0817 LL818 LL0818 LL845 LL0845 LL846 LL0846 LL847 LL0847

### AREABLK AREABLK2 LL848 LL0848 LL849 LL0849 LL850 LL0850 LL851 LL0851 LL852 LL0852 LL853 LL0853 LL854 LL0854 LL855 LL0855 LL856 LL0856 LL857 LL0857 LL858 LL0858 LL859 LL0859 LL860 LL0860 LL861 LL0861 LL862 LL0862 LL889 LL0889 LL890 LL0890 LL891 LL0891 LL892 LL0892 LL893 LL0893 LL894 LL0894 LL895 LL0895 LL896 LL0896 LL897 LL0897 LL898 LL0898 LL899 LL0899 LL900 LL0900 LL901 LL0901 LL902 LL0902 LL903 LL0903 LL904 LL0904 LL905 LL0905 LL906 LL0906 LL933 LL0933 LL934 LL0934 LL935 LL0935 LL936 LL0936 LL937 LL0937 LL938 LL0938 LL939 LL0939 LL940 LL0940 LL941 LL0941 LL942 LL0942 LL943 LL0943 LL944 LL0944 LL945 LL0945

### AREABLK AREABLK2 LL946 LL0946 LL947 LL0947 LL948 LL0948 LL949 LL0949 LL950 LL0950 LL977 LL0977 LL978 LL0978 LL979 LL0979 LL980 LL0980 LL981 LL0981 LL982 LL0982 LL983 LL0983 LL984 LL0984 LL985 LL0985 LL986 LL0986 LL987 LL0987 LL988 LL0988 LL989 LL0989 LL990 LL0990 LL991 LL0991 LL992 LL0992 LL993 LL0993 LL994 LL0994

### AREABLK AREABLK2 DC148 DC0148 DC186 DC0186 DC187 DC0187 DC188 DC0188 DC189 DC0189 DC190 DC0190 DC191 DC0191 DC192 DC0192 DC230 DC0230 DC231 DC0231 DC232 DC0232 DC233 DC0233 DC234 DC0234 DC235 DC0235 DC236 DC0236 DC274 DC0274 DC275 DC0275 DC276 DC0276 DC277 DC0277 DC278 DC0278 DC279 DC0279 DC280 DC0280 DC318 DC0318 DC319 DC0319 DC320 DC0320 DC321 DC0321 DC322 DC0322 DC323 DC0323 DC324 DC0324 DC362 DC0362 DC363 DC0363 DC364 DC0364 DC365 DC0365 DC366 DC0366 DC367 DC0367 DC368 DC0368 DC369 DC0369 DC406 DC0406 DC407 DC0407 DC408 DC0408 DC409 DC0409 DC410 DC0410 DC411 DC0411 DC412 DC0412 DC413 DC0413 DC450 DC0450

### AREABLK AREABLK2 DC451 DC0451 DC452 DC0452 DC453 DC0453 DC454 DC0454 DC455 DC0455 DC456 DC0456 DC457 DC0457 DC494 DC0494 DC495 DC0495 DC496 DC0496 DC497 DC0497 DC498 DC0498 DC499 DC0499 DC500 DC0500 DC501 DC0501 DC502 DC0502 DC503 DC0503 DC538 DC0538 DC539 DC0539 DC540 DC0540 DC541 DC0541 DC542 DC0542 DC543 DC0543 DC544 DC0544 DC545 DC0545 DC546 DC0546 DC547 DC0547 DC548 DC0548 DC582 DC0582 DC583 DC0583 DC584 DC0584 DC585 DC0585 DC586 DC0586 DC587 DC0587 DC588 DC0588 DC589 DC0589 DC590 DC0590 DC591 DC0591 DC592 DC0592 DC593 DC0593 DC626 DC0626 DC627 DC0627 DC628 DC0628 DC629 DC0629 DC630 DC0630 DC631 DC0631

### AREABLK AREABLK2 DC632 DC0632 DC633 DC0633 DC634 DC0634 DC635 DC0635 DC636 DC0636 DC637 DC0637 DC638 DC0638 DC670 DC0670 DC671 DC0671 DC672 DC0672 DC673 DC0673 DC674 DC0674 DC675 DC0675 DC676 DC0676 DC677 DC0677 DC678 DC0678 DC679 DC0679 DC680 DC0680 DC681 DC0681 DC682 DC0682 DC683 DC0683 DC714 DC0714 DC715 DC0715 DC716 DC0716 DC717 DC0717 DC718 DC0718 DC719 DC0719 DC720 DC0720 DC721 DC0721 DC722 DC0722 DC723 DC0723 DC724 DC0724 DC725 DC0725 DC726 DC0726 DC727 DC0727 DC728 DC0728 DC758 DC0758 DC759 DC0759 DC760 DC0760 DC761 DC0761 DC762 DC0762 DC763 DC0763 DC764 DC0764 DC765 DC0765 DC766 DC0766 DC767 DC0767

### AREABLK AREABLK2 DC768 DC0768 DC769 DC0769 DC770 DC0770 DC771 DC0771 DC772 DC0772 DC802 DC0802 DC803 DC0803 DC804 DC0804 DC805 DC0805 DC806 DC0806 DC807 DC0807 DC808 DC0808 DC809 DC0809 DC810 DC0810 DC811 DC0811 DC812 DC0812 DC813 DC0813 DC814 DC0814 DC815 DC0815 DC816 DC0816 DC846 DC0846 DC847 DC0847 DC848 DC0848 DC849 DC0849 DC850 DC0850 DC851 DC0851 DC852 DC0852 DC853 DC0853 DC854 DC0854 DC855 DC0855 DC856 DC0856 DC857 DC0857 DC858 DC0858 DC859 DC0859 DC860 DC0860 DC861 DC0861 DC890 DC0890 DC891 DC0891 DC892 DC0892 DC893 DC0893 DC894 DC0894 DC895 DC0895 DC896 DC0896 DC897 DC0897 DC898 DC0898 DC899 DC0899

### AREABLK AREABLK2 DC900 DC0900 DC901 DC0901 DC902 DC0902 DC903 DC0903 DC904 DC0904 DC905 DC0905 DC934 DC0934 DC935 DC0935 DC936 DC0936 DC937 DC0937 DC938 DC0938 DC939 DC0939 DC940 DC0940 DC941 DC0941 DC942 DC0942 DC943 DC0943 DC944 DC0944 DC945 DC0945 DC946 DC0946 DC947 DC0947 DC948 DC0948 DC949 DC0949 DC978 DC0978 DC979 DC0979 DC980 DC0980 DC981 DC0981 DC982 DC0982 DC983 DC0983 DC984 DC0984 DC985 DC0985 DC986 DC0986 DC987 DC0987 DC988 DC0988 DC989 DC0989 DC990 DC0990 DC991 DC0991 DC992 DC0992 DC993 DC0993 FP010 FP0010 FP011 FP0011 FP012 FP0012 FP013 FP0013 FP014 FP0014 FP015 FP0015 FP016 FP0016 FP017 FP0017

### AREABLK AREABLK2 FP018 FP0018 FP019 FP0019 FP020 FP0020 FP021 FP0021 FP022 FP0022 FP023 FP0023 FP024 FP0024 FP025 FP0025 FP054 FP0054 FP055 FP0055 FP056 FP0056 FP057 FP0057 FP058 FP0058 FP059 FP0059 FP060 FP0060 FP061 FP0061 FP062 FP0062 FP063 FP0063 FP064 FP0064 FP065 FP0065 FP066 FP0066 FP067 FP0067 FP068 FP0068 FP069 FP0069 FP098 FP0098 FP099 FP0099 FP100 FP0100 FP101 FP0101 FP102 FP0102 FP103 FP0103 FP104 FP0104 FP105 FP0105 FP106 FP0106 FP107 FP0107 FP108 FP0108 FP109 FP0109 FP110 FP0110 FP111 FP0111 FP112 FP0112 FP113 FP0113 FP142 FP0142 FP143 FP0143 FP144 FP0144 FP145 FP0145 FP146 FP0146 FP147 FP0147

### AREABLK AREABLK2 FP148 FP0148 FP149 FP0149 FP150 FP0150 FP151 FP0151 FP152 FP0152 FP153 FP0153 FP154 FP0154 FP155 FP0155 FP156 FP0156 FP157 FP0157 FP186 FP0186 FP187 FP0187 FP188 FP0188 FP189 FP0189 FP190 FP0190 FP191 FP0191 FP192 FP0192 FP193 FP0193 FP194 FP0194 FP195 FP0195 FP196 FP0196 FP197 FP0197 FP198 FP0198 FP199 FP0199 FP200 FP0200 FP201 FP0201 FP230 FP0230 FP231 FP0231 FP232 FP0232 FP233 FP0233 FP234 FP0234 FP235 FP0235 FP236 FP0236 FP237 FP0237 FP238 FP0238 FP239 FP0239 FP240 FP0240 FP241 FP0241 FP242 FP0242 FP243 FP0243 FP244 FP0244 FP245 FP0245 FP274 FP0274 FP275 FP0275 FP276 FP0276 FP277 FP0277

### AREABLK AREABLK2 FP278 FP0278 FP279 FP0279 FP280 FP0280 FP281 FP0281 FP282 FP0282 FP283 FP0283 FP284 FP0284 FP285 FP0285 FP286 FP0286 FP287 FP0287 FP288 FP0288 FP289 FP0289 FP318 FP0318 FP319 FP0319 FP320 FP0320 FP321 FP0321 FP322 FP0322 FP323 FP0323 FP324 FP0324 FP325 FP0325 FP326 FP0326 FP327 FP0327 FP328 FP0328 FP329 FP0329 FP330 FP0330 FP331 FP0331 FP332 FP0332 FP333 FP0333 FP363 FP0363 FP364 FP0364 FP365 FP0365 FP366 FP0366 FP367 FP0367 FP368 FP0368 FP369 FP0369 FP370 FP0370 FP371 FP0371 FP372 FP0372 FP373 FP0373 FP374 FP0374 FP375 FP0375 FP376 FP0376 FP377 FP0377 FP416 FP0416 FP417 FP0417 FP418 FP0418

### AREABLK AREABLK2 FP419 FP0419 FP420 FP0420 FP421 FP0421 FP459 FP0459 FP460 FP0460 FP461 FP0461 FP462 FP0462 FP463 FP0463 FP464 FP0464 FP465 FP0465 FP503 FP0503 FP504 FP0504 FP505 FP0505 FP506 FP0506 FP507 FP0507 FP508 FP0508 FP509 FP0509 FP548 FP0548 FP549 FP0549 FP550 FP0550 FP551 FP0551 FP552 FP0552 FP553 FP0553 FP594 FP0594 FP595 FP0595 FP596 FP0596 FP597 FP0597 FP639 FP0639 FP640 FP0640 FP641 FP0641 FP685 FP0685 HE010 HE0010 HE011 HE0011 HE012 HE0012 HE013 HE0013 HE014 HE0014 HE015 HE0015 HE016 HE0016 HE017 HE0017 HE018 HE0018 HE019 HE0019 HE020 HE0020 HE021 HE0021 HE022 HE0022 HE023 HE0023 HE024 HE0024

### AREABLK AREABLK2 HE025 HE0025 HE054 HE0054 HE055 HE0055 HE056 HE0056 HE057 HE0057 HE058 HE0058 HE059 HE0059 HE060 HE0060 HE061 HE0061 HE062 HE0062 HE063 HE0063 HE064 HE0064 HE065 HE0065 HE066 HE0066 HE067 HE0067 HE068 HE0068 HE069 HE0069 HE098 HE0098 HE099 HE0099 HE100 HE0100 HE101 HE0101 HE102 HE0102 HE103 HE0103 HE104 HE0104 HE105 HE0105 HE106 HE0106 HE107 HE0107 HE108 HE0108 HE109 HE0109 HE110 HE0110 HE111 HE0111 HE112 HE0112 HE113 HE0113 HE142 HE0142 HE143 HE0143 HE144 HE0144 HE145 HE0145 HE146 HE0146 HE147 HE0147 HE148 HE0148 HE149 HE0149 HE150 HE0150 HE151 HE0151 HE152 HE0152 HE153 HE0153 HE154 HE0154

### AREABLK AREABLK2 HE155 HE0155 HE156 HE0156 HE157 HE0157 HE186 HE0186 HE187 HE0187 HE188 HE0188 HE189 HE0189 HE190 HE0190 HE191 HE0191 HE192 HE0192 HE193 HE0193 HE194 HE0194 HE195 HE0195 HE196 HE0196 HE197 HE0197 HE198 HE0198 HE199 HE0199 HE200 HE0200 HE201 HE0201 HE230 HE0230 HE231 HE0231 HE232 HE0232 HE233 HE0233 HE234 HE0234 HE235 HE0235 HE236 HE0236 HE237 HE0237 HE238 HE0238 HE239 HE0239 HE240 HE0240 HE241 HE0241 HE242 HE0242 HE243 HE0243 HE244 HE0244 HE245 HE0245 HE274 HE0274 HE275 HE0275 HE276 HE0276 HE277 HE0277 HE278 HE0278 HE279 HE0279 HE280 HE0280 HE281 HE0281 HE282 HE0282 HE283 HE0283 HE284 HE0284

### AREABLK AREABLK2 HE285 HE0285 HE286 HE0286 HE287 HE0287 HE288 HE0288 HE289 HE0289 HE318 HE0318 HE319 HE0319 HE320 HE0320 HE321 HE0321 HE322 HE0322 HE323 HE0323 HE324 HE0324 HE325 HE0325 HE326 HE0326 HE327 HE0327 HE328 HE0328 HE329 HE0329 HE330 HE0330 HE331 HE0331 HE332 HE0332 HE333 HE0333 HE362 HE0362 HE363 HE0363 HE364 HE0364 HE365 HE0365 HE366 HE0366 HE367 HE0367 HE368 HE0368 HE369 HE0369 HE370 HE0370 HE371 HE0371 HE372 HE0372 HE373 HE0373 HE374 HE0374 HE375 HE0375 HE376 HE0376 HE377 HE0377 HE406 HE0406 HE407 HE0407 HE408 HE0408 HE409 HE0409 HE410 HE0410 HE411 HE0411 HE412 HE0412 HE413 HE0413 HE414 HE0414

### AREABLK AREABLK2 HE415 HE0415 HE416 HE0416 HE417 HE0417 HE418 HE0418 HE419 HE0419 HE420 HE0420 HE421 HE0421 HE450 HE0450 HE451 HE0451 HE452 HE0452 HE453 HE0453 HE454 HE0454 HE455 HE0455 HE456 HE0456 HE457 HE0457 HE458 HE0458 HE459 HE0459 HE460 HE0460 HE461 HE0461 HE462 HE0462 HE463 HE0463 HE464 HE0464 HE465 HE0465 HE494 HE0494 HE495 HE0495 HE496 HE0496 HE497 HE0497 HE498 HE0498 HE499 HE0499 HE500 HE0500 HE501 HE0501 HE502 HE0502 HE503 HE0503 HE504 HE0504 HE505 HE0505 HE506 HE0506 HE507 HE0507 HE508 HE0508 HE509 HE0509 HE538 HE0538 HE539 HE0539 HE540 HE0540 HE541 HE0541 HE542 HE0542 HE543 HE0543 HE544 HE0544

### AREABLK AREABLK2 HE545 HE0545 HE546 HE0546 HE547 HE0547 HE548 HE0548 HE549 HE0549 HE550 HE0550 HE551 HE0551 HE552 HE0552 HE553 HE0553 HE582 HE0582 HE583 HE0583 HE584 HE0584 HE585 HE0585 HE586 HE0586 HE587 HE0587 HE588 HE0588 HE589 HE0589 HE590 HE0590 HE591 HE0591 HE592 HE0592 HE593 HE0593 HE594 HE0594 HE595 HE0595 HE596 HE0596 HE597 HE0597 HE626 HE0626 HE627 HE0627 HE628 HE0628 HE629 HE0629 HE630 HE0630 HE631 HE0631 HE632 HE0632 HE633 HE0633 HE634 HE0634 HE635 HE0635 HE636 HE0636 HE637 HE0637 HE638 HE0638 HE639 HE0639 HE640 HE0640 HE641 HE0641 HE670 HE0670 HE671 HE0671 HE672 HE0672 HE673 HE0673 HE674 HE0674

### AREABLK AREABLK2 HE675 HE0675 HE676 HE0676 HE677 HE0677 HE678 HE0678 HE679 HE0679 HE680 HE0680 HE681 HE0681 HE682 HE0682 HE683 HE0683 HE684 HE0684 HE685 HE0685 HE714 HE0714 HE715 HE0715 HE716 HE0716 HE717 HE0717 HE718 HE0718 HE719 HE0719 HE720 HE0720 HE721 HE0721 HE722 HE0722 HE723 HE0723 HE724 HE0724 HE725 HE0725 HE726 HE0726 HE727 HE0727 HE728 HE0728 HE729 HE0729 HE758 HE0758 HE759 HE0759 HE760 HE0760 HE761 HE0761 HE762 HE0762 HE763 HE0763 HE764 HE0764 HE765 HE0765 HE766 HE0766 HE767 HE0767 HE768 HE0768 HE769 HE0769 HE770 HE0770 HE771 HE0771 HE772 HE0772 HE773 HE0773 HE802 HE0802 HE803 HE0803 HE804 HE0804

### AREABLK AREABLK2 HE805 HE0805 HE806 HE0806 HE807 HE0807 HE808 HE0808 HE809 HE0809 HE810 HE0810 HE811 HE0811 HE812 HE0812 HE813 HE0813 HE814 HE0814 HE815 HE0815 HE816 HE0816 HE817 HE0817 HE846 HE0846 HE847 HE0847 HE848 HE0848 HE849 HE0849 HE850 HE0850 HE851 HE0851 HE852 HE0852 HE853 HE0853 HE854 HE0854 HE855 HE0855 HE856 HE0856 HE857 HE0857 HE858 HE0858 HE859 HE0859 HE860 HE0860 HE861 HE0861 HE890 HE0890 HE891 HE0891 HE892 HE0892 HE893 HE0893 HE894 HE0894 HE895 HE0895 HE896 HE0896 HE897 HE0897 HE898 HE0898 HE899 HE0899 HE900 HE0900 HE901 HE0901 HE902 HE0902 HE903 HE0903 HE904 HE0904 HE905 HE0905 HE934 HE0934

### AREABLK AREABLK2 HE935 HE0935 HE936 HE0936 HE937 HE0937 HE938 HE0938 HE939 HE0939 HE940 HE0940 HE941 HE0941 HE942 HE0942 HE943 HE0943 HE944 HE0944 HE945 HE0945 HE946 HE0946 HE947 HE0947 HE948 HE0948 HE949 HE0949 HE978 HE0978 HE979 HE0979 HE980 HE0980 HE981 HE0981 HE982 HE0982 HE983 HE0983 HE984 HE0984 HE985 HE0985 HE986 HE0986 HE987 HE0987 HE988 HE0988 HE989 HE0989 HE990 HE0990 HE991 HE0991 HE992 HE0992 HE993 HE0993 LL010 LL0010 LL011 LL0011 LL012 LL0012 LL013 LL0013 LL014 LL0014 LL015 LL0015 LL016 LL0016 LL017 LL0017 LL018 LL0018 LL019 LL0019 LL020 LL0020 LL021 LL0021 LL022 LL0022 LL023 LL0023 LL024 LL0024

### AREABLK AREABLK2 LL025 LL0025 LL054 LL0054 LL055 LL0055 LL056 LL0056 LL057 LL0057 LL058 LL0058 LL059 LL0059 LL060 LL0060 LL061 LL0061 LL062 LL0062 LL063 LL0063 LL064 LL0064 LL065 LL0065 LL066 LL0066 LL067 LL0067 LL068 LL0068 LL069 LL0069 LL098 LL0098 LL099 LL0099 LL100 LL0100 LL101 LL0101 LL102 LL0102 LL103 LL0103 LL104 LL0104 LL105 LL0105 LL106 LL0106 LL107 LL0107 LL108 LL0108 LL109 LL0109 LL110 LL0110 LL111 LL0111 LL112 LL0112 LL113 LL0113 LL142 LL0142 LL143 LL0143 LL144 LL0144 LL145 LL0145 LL146 LL0146 LL147 LL0147 LL148 LL0148 LL149 LL0149 LL150 LL0150 LL151 LL0151 LL152 LL0152 LL153 LL0153 LL154 LL0154

### AREABLK AREABLK2 LL155 LL0155 LL156 LL0156 LL157 LL0157 LL186 LL0186 LL187 LL0187 LL188 LL0188 LL189 LL0189 LL190 LL0190 LL191 LL0191 LL192 LL0192 LL193 LL0193 LL194 LL0194 LL195 LL0195 LL196 LL0196 LL197 LL0197 LL198 LL0198 LL199 LL0199 LL200 LL0200 LL201 LL0201 LL230 LL0230 LL231 LL0231 LL232 LL0232 LL233 LL0233 LL234 LL0234 LL235 LL0235 LL236 LL0236 LL237 LL0237 LL238 LL0238 LL239 LL0239 LL240 LL0240 LL241 LL0241 LL242 LL0242 LL243 LL0243 LL244 LL0244 LL245 LL0245 LL274 LL0274 LL275 LL0275 LL276 LL0276 LL277 LL0277 LL278 LL0278 LL279 LL0279 LL280 LL0280 LL281 LL0281 LL282 LL0282 LL283 LL0283 LL284 LL0284

### AREABLK AREABLK2 LL285 LL0285 LL286 LL0286 LL287 LL0287 LL288 LL0288 LL289 LL0289 LL318 LL0318 LL319 LL0319 LL320 LL0320 LL321 LL0321 LL322 LL0322 LL323 LL0323 LL324 LL0324 LL325 LL0325 LL326 LL0326 LL327 LL0327 LL328 LL0328 LL329 LL0329 LL330 LL0330 LL331 LL0331 LL332 LL0332 LL333 LL0333 LL362 LL0362 LL363 LL0363 LL364 LL0364 LL365 LL0365 LL366 LL0366 LL367 LL0367 LL368 LL0368 LL369 LL0369 LL370 LL0370 LL371 LL0371 LL372 LL0372 LL373 LL0373 LL374 LL0374 LL375 LL0375 LL376 LL0376 LL377 LL0377 LL406 LL0406 LL407 LL0407 LL408 LL0408 LL409 LL0409 LL410 LL0410 LL411 LL0411 LL412 LL0412 LL413 LL0413 LL414 LL0414

### AREABLK AREABLK2 LL415 LL0415 LL416 LL0416 LL417 LL0417 LL418 LL0418 LL419 LL0419 LL420 LL0420 LL421 LL0421 LL450 LL0450 LL451 LL0451 LL452 LL0452 LL453 LL0453 LL454 LL0454 LL455 LL0455 LL456 LL0456 LL457 LL0457 LL458 LL0458 LL459 LL0459 LL460 LL0460 LL461 LL0461 LL462 LL0462 LL463 LL0463 LL464 LL0464 LL465 LL0465 LL494 LL0494 LL495 LL0495 LL496 LL0496 LL497 LL0497 LL498 LL0498 LL499 LL0499 LL500 LL0500 LL501 LL0501 LL502 LL0502 LL503 LL0503 LL504 LL0504 LL505 LL0505 LL506 LL0506 LL507 LL0507 LL508 LL0508 LL509 LL0509 LL538 LL0538 LL539 LL0539 LL540 LL0540 LL541 LL0541 LL542 LL0542 LL543 LL0543 LL544 LL0544

### AREABLK AREABLK2 LL545 LL0545 LL546 LL0546 LL547 LL0547 LL548 LL0548 LL549 LL0549 LL550 LL0550 LL551 LL0551 LL552 LL0552 LL553 LL0553 LL582 LL0582 LL583 LL0583 LL584 LL0584 LL585 LL0585 LL586 LL0586 LL587 LL0587 LL588 LL0588 LL589 LL0589 LL590 LL0590 LL591 LL0591 LL592 LL0592 LL593 LL0593 LL594 LL0594 LL595 LL0595 LL596 LL0596 LL597 LL0597 LL626 LL0626 LL627 LL0627 LL628 LL0628 LL629 LL0629 LL630 LL0630 LL631 LL0631 LL632 LL0632 LL633 LL0633 LL634 LL0634 LL635 LL0635 LL636 LL0636 LL637 LL0637 LL638 LL0638 LL639 LL0639 LL640 LL0640 LL641 LL0641 LL670 LL0670 LL671 LL0671 LL672 LL0672 LL673 LL0673 LL674 LL0674

### AREABLK AREABLK2 LL675 LL0675 LL676 LL0676 LL677 LL0677 LL678 LL0678 LL679 LL0679 LL680 LL0680 LL681 LL0681 LL682 LL0682 LL683 LL0683 LL684 LL0684 LL685 LL0685 LL714 LL0714 LL715 LL0715 LL716 LL0716 LL717 LL0717 LL718 LL0718 LL719 LL0719 LL720 LL0720 LL721 LL0721 LL722 LL0722 LL723 LL0723 LL724 LL0724 LL725 LL0725 LL726 LL0726 LL727 LL0727 LL728 LL0728 LL729 LL0729 LL758 LL0758 LL759 LL0759 LL760 LL0760 LL761 LL0761 LL762 LL0762 LL763 LL0763 LL764 LL0764 LL765 LL0765 LL766 LL0766 LL767 LL0767 LL768 LL0768 LL769 LL0769 LL770 LL0770 LL771 LL0771 LL772 LL0772 LL773 LL0773 LL802 LL0802 LL803 LL0803 LL804 LL0804

### AREABLK AREABLK2 LL805 LL0805 LL806 LL0806 LL807 LL0807 LL808 LL0808 LL809 LL0809 LL810 LL0810 LL811 LL0811 LL812 LL0812 LL813 LL0813 LL814 LL0814 LL815 LL0815 LL816 LL0816 LL817 LL0817 LL846 LL0846 LL847 LL0847 LL848 LL0848 LL849 LL0849 LL850 LL0850 LL851 LL0851 LL852 LL0852 LL853 LL0853 LL854 LL0854 LL855 LL0855 LL856 LL0856 LL857 LL0857 LL858 LL0858 LL859 LL0859 LL860 LL0860 LL861 LL0861 LL890 LL0890 LL891 LL0891 LL892 LL0892 LL893 LL0893 LL894 LL0894 LL895 LL0895 LL896 LL0896 LL897 LL0897 LL898 LL0898 LL899 LL0899 LL900 LL0900 LL901 LL0901 LL902 LL0902 LL903 LL0903 LL904 LL0904 LL905 LL0905 LL934 LL0934

### AREABLK AREABLK2 LL935 LL0935 LL936 LL0936 LL937 LL0937 LL938 LL0938 LL939 LL0939 LL940 LL0940 LL941 LL0941 LL942 LL0942 LL943 LL0943 LL944 LL0944 LL945 LL0945 LL946 LL0946 LL947 LL0947 LL948 LL0948 LL949 LL0949 LL978 LL0978 LL979 LL0979 LL980 LL0980 LL981 LL0981 LL982 LL0982 LL983 LL0983 LL984 LL0984 LL985 LL0985 LL986 LL0986 LL987 LL0987 LL988 LL0988 LL989 LL0989 LL990 LL0990 LL991 LL0991 LL992 LL0992 LL993 LL0993

### LEASENUM BLOCKNUM AREABLK G33771 143 DC143 G33772 145 DC145 G33773 146 DC146 G33774 187 DC187 G33775 188 DC188 G33776 189 DC189 G33777 190 DC190 G33778 191 DC191 G31537 229 DC229 G33779 230 DC230 G33780 231 DC231 G34471 232 DC232 G34472 233 DC233 G31539 273 DC273 G34474 274 DC274 G34475 275 DC275 G34476 276 DC276 G33781 281 DC281 G34478 317 DC317 G34479 318 DC318 G31540 319 DC319 G31541 320 DC320 G31542 321 DC321 G31543 322 DC322 G33782 324 DC324 G33783 325 DC325 G34480 361 DC361 G34481 362 DC362 G31545 363 DC363 G31546 364 DC364 G31547 365 DC365 G31548 366 DC366 G33784 367 DC367 G33785 368 DC368 G33786 369 DC369 G34482 405 DC405 G34483 406 DC406 G31549 407 DC407 G31550 408 DC408 G31551 409 DC409 G31552 410 DC410 G31553 411 DC411 G31554 412 DC412 G31555 413 DC413 G31556 451 DC451 G34485 452 DC452

### LEASENUM BLOCKNUM AREABLK G34486 453 DC453 G34487 454 DC454 G31557 455 DC455 G31558 456 DC456 G31559 457 DC457 G34489 493 DC493 G34490 496 DC496 G34491 497 DC497 G31560 498 DC498 G32369 499 DC499 G31561 541 DC541 G31562 542 DC542 G32370 543 DC543 G32371 544 DC544 G32372 545 DC545 G31563 585 DC585 G32373 586 DC586 G32374 587 DC587 G32375 588 DC588 G32376 589 DC589 G32377 590 DC590 G32378 591 DC591 G32000 592 DC592 G34495 625 DC625 G31564 629 DC629 G31565 630 DC630 G32379 631 DC631 G32380 632 DC632 G32381 633 DC633 G32382 634 DC634 G32383 635 DC635 G32001 636 DC636 G32002 637 DC637 G32003 638 DC638 G32004 639 DC639 G32005 640 DC640 G34498 669 DC669 G34499 670 DC670 G34500 671 DC671 G32384 676 DC676 G32385 677 DC677 G32386 678 DC678 G32387 679 DC679 G32006 680 DC680 G32007 681 DC681 G32008 682 DC682

### LEASENUM BLOCKNUM AREABLK G32009 683 DC683 G32010 684 DC684 G32011 685 DC685 G31567 713 DC713 G31568 714 DC714 G34504 715 DC715 G34505 716 DC716 G32388 721 DC721 G32389 722 DC722 G32390 723 DC723 G32012 724 DC724 G32013 725 DC725 G32014 726 DC726 G32015 727 DC727 G32016 728 DC728 G32017 729 DC729 G31570 757 DC757 G31571 758 DC758 G34506 759 DC759 G34507 760 DC760 G33184 761 DC761 G32393 768 DC768 G32018 769 DC769 G32019 770 DC770 G32020 771 DC771 G32021 772 DC772 G32022 773 DC773 G31573 801 DC801 G34508 804 DC804 G33185 805 DC805 G33186 806 DC806 G32023 815 DC815 G32024 816 DC816 G32025 817 DC817 G32026 818 DC818 G32394 846 DC846 G32395 847 DC847 G33188 849 DC849 G34509 851 DC851 G34510 852 DC852 G31575 853 DC853 G31576 854 DC854 G31577 855 DC855 G34511 856 DC856 G33190 889 DC889 G33787 890 DC890

### LEASENUM BLOCKNUM AREABLK G31579 891 DC891 G31580 892 DC892 G31581 893 DC893 G31582 894 DC894 G34512 895 DC895 G34513 897 DC897 G31583 898 DC898 G31584 899 DC899 G31585 900 DC900 G33191 933 DC933 G31586 934 DC934 G31587 935 DC935 G31588 936 DC936 G31589 937 DC937 G31590 938 DC938 G31591 939 DC939 G31592 940 DC940 G34514 942 DC942 G33192 943 DC943 G33193 977 DC977 G31593 978 DC978 G31594 979 DC979 G31595 980 DC980 G33788 982 DC982 G31596 983 DC983 G31597 984 DC984 G31598 985 DC985 G33880 011 LL011 G33881 012 LL012 G31808 013 LL013 G31809 014 LL014 G31810 015 LL015 G33297 018 LL018 G33298 020 LL020 G33882 055 LL055 G33299 056 LL056 G33300 057 LL057 G33301 058 LL058 G33302 059 LL059 G31811 060 LL060 G31812 063 LL063 G31813 064 LL064 G33303 101 LL101 G33304 102 LL102 G31814 104 LL104 G31815 106 LL106

### LEASENUM BLOCKNUM AREABLK G31816 107 LL107 G31817 108 LL108 G33306 144 LL144 G33307 145 LL145 G33308 146 LL146 G31818 149 LL149 G31819 150 LL150 G31820 151 LL151 G31821 152 LL152 G33309 187 LL187 G34592 189 LL189 G34593 190 LL190 G31823 194 LL194 G31824 195 LL195 G33310 230 LL230 G33311 231 LL231 G31825 232 LL232 G34594 233 LL233 G34595 234 LL234 G31826 238 LL238 G31827 239 LL239 G31828 240 LL240 G32027 243 LL243 G32028 244 LL244 G32029 245 LL245 G31829 273 LL273 G34596 278 LL278 G32589 286 LL286 G32030 287 LL287 G32031 288 LL288 G32032 289 LL289 G31834 317 LL317 G31835 318 LL318 G31836 319 LL319 G33312 323 LL323 G33313 324 LL324 G31837 326 LL326 G32590 330 LL330 G32033 331 LL331 G32034 332 LL332 G32035 333 LL333 G31838 361 LL361 G31839 362 LL362 G31840 363 LL363 G33884 366 LL366 G31841 367 LL367

### LEASENUM BLOCKNUM AREABLK G31842 370 LL370 G31843 371 LL371 G31844 407 LL407 G31845 408 LL408 G31846 410 LL410 G31847 411 LL411 G31848 412 LL412 G31849 414 LL414 G33314 450 LL450 G33315 451 LL451 G33316 452 LL452 G31850 456 LL456 G33317 495 LL495 G31851 499 LL499 G33886 539 LL539 G33318 542 LL542 G33319 545 LL545 G33320 547 LL547 G33321 548 LL548 G33322 586 LL586 G33324 627 LL627 G33325 628 LL628 G33327 671 LL671 G33328 672 LL672 G33329 717 LL717 G33330 718 LL718

### AREANAME BLOCKNUMBE LEASENUM DE SOTO CANYON 497 G34491 DE SOTO CANYON 852 G34510 DE SOTO CANYON 853 G31575 DE SOTO CANYON 854 G31576 DE SOTO CANYON 855 G31577 DE SOTO CANYON 897 G34513 DE SOTO CANYON 898 G31583 DE SOTO CANYON 899 G31584 DE SOTO CANYON 900 G31585 DE SOTO CANYON 942 G34514 LLOYD RIDGE 13 G31808 LLOYD RIDGE 243 G32027 LLOYD RIDGE 244 G32028 LLOYD RIDGE 245 G32029 LLOYD RIDGE 286 G32589 LLOYD RIDGE 287 G32030 LLOYD RIDGE 289 G32032 LLOYD RIDGE 317 G31834 LLOYD RIDGE 318 G31835 LLOYD RIDGE 330 G32590 LLOYD RIDGE 331 G32033 LLOYD RIDGE 332 G32034 LLOYD RIDGE 361 G31838 LLOYD RIDGE 362 G31839 LLOYD RIDGE 410 G31846 LLOYD RIDGE 539 G33886Anadarko Petroleum Corporat ion Trinity Consultants 

## APPENDIX D: MODEL INPUT PARAMETERS28.60 1.100 20.30 593

1 Stack parameters were based on the proposed stack parameters of the main engines, which are the highest emitting emission source on the proposed drillship. Stack parameters were obtained from the RFI sent to Anadarko dated 09/06/2012. The stack velocity was estimated at 50% operating load based on email from Ms. Sara Carlson (Anadarko) to Mr. Rahul Pendse (Trinity) on 09/10/2012. 

### Anadarko Petroleum Corporation Drillship Stack Parameters 1

Stack Height (m) Stack Inside Diameter (m) Stack Gas Exit Velocity (m/sec) Stack Gas Temperature (K)

Anadarko Petroleum Corporation Air quality Modeling Analysis 1 of 16 Class I_Model Input Parameters v1.2 - DS Stack Input Parameters 8/24/20135.00 0.706 0.64 293 

### Anadarko Petroleum Corporation

 Supp O\%RDW

Stack Parameters 1

Stack Height (m) Stack Inside Diameter (m) Stack Gas Exit Velocity (m/sec) Stack Gas Temperature (K)

1 Based on the stack parameters of Kirk Chouest

.

Anadarko Petroleum Corporation Air quality Modeling Analysis 2 of 16 Class I_Model Input Parameters v1.2 - SV Stack Input Parameters 8/24/2013Anadarko Petroleum Corporat ion Trinity Consultants 

## APPENDIX D1: CLASS I MODEL INPUT PARAMETERSReference latitude : 40 deg Reference longitude : 97 deg (based on + Western Hemisphere) Standard parallel #1 : 33 deg Standard parallel #2 : 45 deg

Latitude (deg) (North) Longitude (deg) (West) LCC Coordinates X (km) LCC Coordinates

Y (km)

For Breton NWR 28.85 87.52 930.28 -1189.81

For St. Marks NWR and Bradwell Bay Wilderness 28.85 87.08 973.83 -1185.04

Class I Area Distance (km) 2

For Breton NWR 167

For St. Marks NWR 285 For Bradwell Bay Wilderness 281

2 Represents the distance to the closest receptor on each Class I area. Coordinates for receptors on the Class I areas were obtained from the National Park Service (NPS) Air Resources Division (ARD) website at - http://www2.nature.nps.gov/air/maps/Receptors/index.htm 

### Anadarko Petroleum Corporation

LCC Reference Parameters ¥

¥ Based on the model design used by Visibility Improvement State and Tribal Association of the Southeast (VISTAS) for Regional Haze Rule modeling - Protocol for the Application of the CALPUFF Model for Analyses of Best Available Retrofit Technology (BART), December 22, 2005, revised August 31, 2006. 

### Worksheet for Converting Latitude and Longitude to Lambert Conformal Projection Coordinates

Class I Area Worst-case Drillship Location 1

1 Represents the worst-case location within the lease block drilling area with respect to each Class I area.

Anadarko Petroleum Corporation A ir quality Modeling Analysis Page 3 of 16 Class I_Model Input Parameters v1.2-Coordinate Conversion (LCC) DS 8/24/2013Reference latitude:40 degReference longitude:97deg (based on + Western Hemisphere)Standard parallel #1:33degStandard parallel #2:45degLatitude (deg)Longitude (deg)LCC CoordinatesX (km)LCC CoordinatesY (km)25 miles from nearest state seaward boundary29.2487.54925.58-1143.75St.Marks and Bradwell Bay Wilderness29.2286.95983.64-1139.79ReceptorDistance (km)225 miles from nearest shoreline48.60St.Marks and Bradwell Bay Wilderness55.071Represents the worst-case supply boat location with respect to closest receptor.2Represents the distance to the closest receptor. Coordinatesfor receptors on the Class II areas were obtained from EPA Region IV.Anadarko Petroleum CorporationWorksheet for Converting Latitude and Longitude to Lambert Conformal Projection CoordinatesLCC Reference Parameters¥¥Based on the model design used by Visibility Improvement State and Tribal Association of the Southeast (VISTAS) for Regional Haze Rule modeling -Protocol for the Application of the CALPUFF Model for Analysesof Best Available Retrofit Technology (BART), December 22, 2005,revised August 31,2006.ReceptorWorst-case Supply Boat Location1Anadarko Petroleum CorporationAir quality Modeling Analysis1 of 1Class I_Modeling Inputs Parameters v1.2- Coordinate Conversion LCC (SB)8/30/2013Source Location LCC X LCC Y

Drillship Location 930.28 -1189.81

Computational Domain Setup - STEP 1 LCC X LCC Y Northernmost Point -1068.61 Southernmost Point -1189.81 Westernmost Point 777.71 Easternmost Point 930.28

Computational Domain Setup - STEP 2 (based on +/- 50 km) LCC X LCC Y SW 727.71 -1239.81 NW 727.71 -1018.61 NE 980.28 -1018.61 SE 980.28 -1239.81

Computational Domain Setup - STEP 3 (rounded w/ 4 km spacing) LCC X LCC Y SW 725.995 -1242.0 NW 725.995 -1018.0 NE 981.995 -1018.0 SE 981.995 -1242.0 Distance Span 256 224 Grid Spacing 4 4 Number of Cells 64 56

VISTAS Domain 2 (Meteorological Domain) SW corner LCC X LCC Y (Fixed) Meteorological Grid Origin Coordinates 721.995 -1598.0

Computational Grid Settings Cells X Cells Y (Enter these grid settings into CALPUFF). SW 1 89 NE 65 145 Grid Spacing 4 4 Number of Cells (Check) 64 56 (Extends domain to 50 km further beyond the source and receptors for conservatism). 

### Anadarko Petroleum Corporation Breton NWR - Computational Domain Grid Setup

(Used Max/ Min of Class I area receptor coordinates and source coordinates to ensure the domain included the source as well as all receptors).

(Domain endpoint coordinates moved further out to coincide with the grid point locations of the meteorological domain (at grid spacing of 4 Km)

Anadarko Petroleum Corporation Air quality Modeling Analysis Page 5 of 16 Class I_Model Input Parameters v1.2-Breton - Computational Domain 8/24/2013Source Location LCC X LCC Y

Drillship Location 973.83 -1185.04

Computational Domain Setup - STEP 1 LCC X LCC Y Northernmost Point -1001.70 Southernmost Point -1185.04 Westernmost Point 973.83 Easternmost Point 1256.44

Computational Domain Setup - STEP 2 (based on +/- 50 km) LCC X LCC Y SW 923.83 -1235.04 NW 923.83 -951.70 NE 1306.44 -951.70 SE 1306.44 -1235.04

Computational Domain Setup - STEP 3 (rounded w/ 4 km spacing) LCC X LCC Y SW 921.995 -1238.0 NW 921.995 -950.0 NE 1309.995 -950.0 SE 1309.995 -1238.0 Distance Span 388 288 Grid Spacing 4 4 Number of Cells 97 72

VISTAS Domain 2 (Meteorological Domain) SW corner LCC X LCC Y (Fixed) Meteorological Grid Origin Coordinates 721.995 -1598.0

Computational Grid Settings Cells X Cells Y (Enter these grid settings into CALPUFF). SW 50 90 NE 147 162 Grid Spacing 4 4 Number of Cells (Check) 97 72 (Domain endpoint coordinates moved further out to coincide with the grid point locations of the meteorological domain (at grid spacing of 4 Km) 

### Anadarko Petroleum Corporation St. Marks NWR and Bradwell Bay Wilderness - Computational Domain Grid Setup

(Extends domain to 50 km further beyond the source and receptors for conservatism). (Used Max/ Min of Class I area receptor coordinates and source coordinates to ensure the domain included the source as well as all receptors).

Anadarko Petroleum Corporation Air quality Modeling Analysis Page 6 of 16 Class I_Model Input Parameters v1.2-St Mark & BrBay - Comput Domain 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) Bret1 29.621 89.004 777.710 -1118.013 0.0 0.0 168.62 Bret2 29.637 88.979 779.971 -1115.939 0.0 0.0 167.48 Bret3 29.646 88.971 780.697 -1114.937 0.0 0.0 167.28 Bret4 29.654 88.963 781.423 -1113.936 0.0 0.0 167.08 Bret5 29.721 88.913 785.607 -1106.067 0.0 0.0 167.16 Bret6 29.762 88.871 789.227 -1101.058 0.0 0.0 166.65 Bret7 29.787 88.863 789.783 -1098.197 0.0 0.0 167.73 Bret8 29.804 88.846 791.229 -1096.193 1.0 0.0 167.63 Bret9 29.812 88.846 791.146 -1095.264 1.0 0.0 168.22 Bret10 29.829 88.838 791.785 -1093.333 1.0 0.0 168.79 Bret11 29.837 88.838 791.701 -1092.404 1.0 0.0 169.39 Bret12 29.854 88.829 792.340 -1090.472 1.0 0.0 169.99 Bret13 29.862 88.829 792.256 -1089.543 1.0 0.0 170.60 Bret14 29.871 88.829 792.172 -1088.614 1.0 0.0 171.22 Bret15 29.879 88.829 792.088 -1087.685 1.0 0.0 171.83 Bret16 29.887 88.829 792.005 -1086.756 0.0 0.0 172.45 Bret17 29.896 88.829 791.921 -1085.827 0.0 0.0 173.08 Bret18 29.912 88.829 791.753 -1083.968 0.0 0.0 174.33 Bret19 29.912 88.821 792.559 -1083.896 1.0 0.0 173.74 Bret20 29.921 88.821 792.475 -1082.967 1.0 0.0 174.37 Bret21 29.929 88.829 791.586 -1082.110 0.0 0.0 175.60 Bret22 29.929 88.821 792.391 -1082.038 1.0 0.0 175.01 Bret23 29.937 88.829 791.502 -1081.181 0.0 0.0 176.24 Bret24 29.937 88.821 792.307 -1081.109 1.0 0.0 175.65 Bret25 29.946 88.829 791.418 -1080.252 1.0 0.0 176.88 Bret26 29.954 88.829 791.335 -1079.323 1.0 0.0 177.52 Bret27 29.962 88.838 790.446 -1078.467 0.0 0.0 178.75 Bret28 29.962 88.829 791.251 -1078.394 1.0 0.0 178.17 Bret29 29.971 88.838 790.362 -1077.538 0.0 0.0 179.39 Bret30 29.971 88.829 791.167 -1077.465 1.0 0.0 178.81 Bret31 29.979 88.838 790.279 -1076.609 0.0 0.0 180.04 Bret32 29.987 88.838 790.195 -1075.680 0.0 0.0 180.69 Bret33 29.996 88.838 790.111 -1074.751 1.0 0.0 181.35 Bret34 30.004 88.846 789.223 -1073.894 0.0 0.0 182.58 Bret35 30.012 88.846 789.140 -1072.966 0.0 0.0 183.23 Bret36 30.021 88.854 788.252 -1072.109 0.0 0.0 184.46 Bret37 30.029 88.854 788.168 -1071.180 1.0 0.0 185.12 Bret38 30.037 88.863 787.281 -1070.324 0.0 0.0 186.35 Bret39 30.046 88.871 786.393 -1069.467 0.0 0.0 187.58 Bret40 30.054 88.879 785.506 -1068.610 0.0 0.0 188.81 Breton National Wildlife Refuge - Receptor Information

1 Lat/ Long coordinates and elevation for receptors on the Class I area were obtained from the National Park Service (NPS) Air Resources Division (ARD) website at - http://www2.nature.nps.gov/air/maps/Receptors/index.htm Anadarko Petroleum Corporation

Anadarko Petroleum Corporation Air quality Modeling Analysis Page 7 of 16 Class I_Model Input Parameters v1.2-Breton Receptors 8/24/2013Receptor Id. Latitude (deg), (North) 1 Longitude (deg),

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) Stm1 29.979 84.454 1212.440 -1028.300 1.0 0.0 285.49 Stm2 29.979 84.438 1214.040 -1028.077 1.0 0.0 286.95 Stm3 29.987 84.454 1212.312 -1027.376 1.0 0.0 285.89 Stm4 29.987 84.446 1213.112 -1027.265 1.0 0.0 286.62 Stm5 29.996 84.454 1212.183 -1026.452 1.0 0.0 286.29 Stm6 29.996 84.446 1212.983 -1026.341 1.0 0.0 287.02 Stm7 30.004 84.471 1210.455 -1025.751 1.0 0.0 285.24 Stm8 30.004 84.463 1211.255 -1025.640 1.0 0.0 285.97 Stm9 30.004 84.454 1212.055 -1025.529 1.0 0.0 286.70 Stm10 30.004 84.446 1212.855 -1025.417 1.0 0.0 287.42 Stm11 30.012 84.463 1211.127 -1024.716 1.0 0.0 286.38 Stm12 30.079 84.179 1237.268 -1013.511 1.0 0.0 314.36 Stm13 30.079 84.171 1238.067 -1013.398 1.0 0.0 315.09 Stm14 30.079 84.163 1238.866 -1013.284 1.0 0.0 315.82 Stm15 30.079 84.154 1239.665 -1013.171 0.0 0.0 316.56 Stm16 30.079 83.979 1256.438 -1010.767 1.0 0.0 332.02 Stm17 30.087 84.179 1237.137 -1012.588 0.0 0.0 314.75 Stm18 30.087 84.171 1237.936 -1012.475 1.0 0.0 315.49 Stm19 30.087 84.154 1239.533 -1012.248 1.0 0.0 316.95 Stm20 30.087 84.146 1240.332 -1012.134 1.0 0.0 317.68 Stm21 30.087 83.979 1256.305 -1009.845 1.0 0.0 332.39 Stm22 30.096 84.171 1237.805 -1011.552 1.0 0.0 315.88 Stm23 30.096 84.146 1240.201 -1011.211 1.0 0.0 318.07 Stm24 30.096 84.138 1240.999 -1011.097 1.0 0.0 318.80 Stm25 30.096 84.129 1241.798 -1010.983 1.0 0.0 319.54 Stm26 30.096 84.113 1243.395 -1010.755 1.0 0.0 321.00 Stm27 30.096 84.104 1244.194 -1010.641 1.0 0.0 321.73 Stm28 30.096 84.088 1245.791 -1010.413 0.0 0.0 323.20 Stm29 30.096 84.079 1246.589 -1010.299 0.0 0.0 323.93 Stm30 30.096 83.996 1254.575 -1009.152 1.0 0.0 331.29 Stm31 30.096 83.979 1256.171 -1008.922 1.0 0.0 332.77 Stm32 30.104 84.196 1235.278 -1010.969 0.0 0.0 314.10 Stm33 30.104 84.188 1236.076 -1010.855 1.0 0.0 314.82 Stm34 30.104 84.179 1236.875 -1010.742 1.0 0.0 315.55 Stm35 30.104 84.171 1237.673 -1010.629 1.0 0.0 316.28 Stm36 30.104 84.163 1238.472 -1010.515 1.0 0.0 317.01 Stm37 30.104 84.146 1240.069 -1010.288 1.0 0.0 318.47 Stm38 30.104 84.138 1240.868 -1010.174 1.0 0.0 319.20 Stm39 30.104 84.129 1241.666 -1010.060 1.0 0.0 319.93 Stm40 30.104 84.121 1242.465 -1009.946 1.0 0.0 320.66 Stm41 30.104 84.113 1243.263 -1009.832 1.0 0.0 321.39 Stm42 30.104 84.096 1244.860 -1009.604 1.0 0.0 322.86 Stm43 30.104 84.088 1245.659 -1009.490 1.0 0.0 323.59 Stm44 30.104 84.079 1246.457 -1009.376 1.0 0.0 324.32 Stm45 30.104 84.071 1247.256 -1009.261 1.0 0.0 325.05 Anadarko Petroleum Corporation St. Marks National Wildlife Refuge - Receptor Information

Anadarko Petroleum Corporation Air quality Modeling Analysis Page 8 of 16 Class I_Model Input Parameters v1.2-St. Marks Receptors 8/24/2013Receptor Id. Latitude (deg), (North) 1 Longitude (deg),

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) Anadarko Petroleum Corporation St. Marks National Wildlife Refuge - Receptor Information

Stm46 30.104 84.063 1248.054 -1009.147 1.0 0.0 325.79 Stm47 30.104 84.054 1248.853 -1009.032 0.0 0.0 326.52 Stm48 30.104 84.046 1249.651 -1008.918 0.0 0.0 327.26 Stm49 30.104 84.038 1250.450 -1008.803 0.0 0.0 327.99 Stm50 30.104 84.029 1251.248 -1008.689 0.0 0.0 328.73 Stm51 30.104 84.021 1252.046 -1008.574 0.0 0.0 329.46 Stm52 30.104 84.013 1252.845 -1008.459 1.0 0.0 330.20 Stm53 30.104 84.004 1253.643 -1008.344 1.0 0.0 330.93 Stm54 30.104 83.996 1254.442 -1008.229 1.0 0.0 331.67 Stm55 30.104 83.988 1255.240 -1008.114 1.0 0.0 332.41 Stm56 30.112 84.196 1235.147 -1010.046 1.0 0.0 314.50 Stm57 30.112 84.188 1235.945 -1009.932 1.0 0.0 315.23 Stm58 30.112 84.179 1236.744 -1009.819 1.0 0.0 315.95 Stm59 30.112 84.171 1237.542 -1009.705 1.0 0.0 316.68 Stm60 30.112 84.163 1238.341 -1009.592 1.0 0.0 317.41 Stm61 30.112 84.138 1240.736 -1009.251 1.0 0.0 319.59 Stm62 30.112 84.129 1241.535 -1009.137 2.0 0.0 320.33 Stm63 30.112 84.063 1247.922 -1008.224 2.0 0.0 326.18 Stm64 30.112 84.054 1248.720 -1008.110 1.0 0.0 326.91 Stm65 30.112 84.046 1249.519 -1007.995 1.0 0.0 327.64 Stm66 30.112 84.038 1250.317 -1007.880 1.0 0.0 328.38 Stm67 30.112 84.029 1251.115 -1007.766 1.0 0.0 329.11 Stm68 30.112 84.021 1251.914 -1007.651 1.0 0.0 329.85 Stm69 30.112 84.013 1252.712 -1007.536 1.0 0.0 330.58 Stm70 30.112 84.004 1253.510 -1007.421 1.0 0.0 331.32 Stm71 30.112 83.996 1254.309 -1007.306 1.0 0.0 332.05 Stm72 30.112 83.988 1255.107 -1007.191 1.0 0.0 332.79 Stm73 30.121 84.196 1235.016 -1009.122 1.0 0.0 314.91 Stm74 30.121 84.188 1235.814 -1009.009 2.0 0.0 315.63 Stm75 30.121 84.179 1236.613 -1008.896 3.0 0.0 316.36 Stm76 30.121 84.171 1237.411 -1008.782 2.0 0.0 317.08 Stm77 30.121 84.163 1238.209 -1008.669 1.0 0.0 317.81 Stm78 30.121 84.154 1239.008 -1008.555 1.0 0.0 318.54 Stm79 30.121 84.021 1251.781 -1006.728 2.0 0.0 330.23 Stm80 30.121 84.013 1252.579 -1006.613 3.0 0.0 330.96 Stm81 30.121 84.004 1253.377 -1006.498 3.0 0.0 331.70 Stm82 30.121 83.996 1254.176 -1006.383 2.0 0.0 332.43 Stm83 30.121 83.988 1254.974 -1006.268 2.0 0.0 333.17 Stm84 30.121 83.979 1255.772 -1006.153 3.0 0.0 333.90 Stm85 30.129 84.204 1234.086 -1008.313 1.0 0.0 314.59 Stm86 30.129 84.196 1234.885 -1008.199 1.0 0.0 315.31 Stm87 30.129 84.188 1235.683 -1008.086 2.0 0.0 316.04 Stm88 30.129 84.179 1236.481 -1007.973 2.0 0.0 316.76 Stm89 30.129 84.013 1252.446 -1005.690 3.0 0.0 331.35 Stm90 30.129 84.004 1253.245 -1005.576 2.0 0.0 332.09

Anadarko Petroleum Corporation Air quality Modeling Analysis Page 9 of 16 Class I_Model Input Parameters v1.2-St. Marks Receptors 8/24/2013Receptor Id. Latitude (deg), (North) 1 Longitude (deg),

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) Anadarko Petroleum Corporation St. Marks National Wildlife Refuge - Receptor Information

Stm91 30.129 83.996 1254.043 -1005.461 3.0 0.0 332.82 Stm92 30.129 83.988 1254.841 -1005.346 3.0 0.0 333.55 Stm93 30.129 83.979 1255.639 -1005.230 3.0 0.0 334.29 Stm94 30.137 84.204 1233.955 -1007.389 1.0 0.0 315.00 Stm95 30.137 84.196 1234.754 -1007.276 1.0 0.0 315.72 Stm96 30.137 83.996 1253.910 -1004.538 3.0 0.0 333.21 Stm97 30.137 83.988 1254.708 -1004.423 3.0 0.0 333.94 Stm98 30.137 83.979 1255.506 -1004.308 3.0 0.0 334.67 Stm99 30.146 84.204 1233.825 -1006.466 1.0 0.0 315.41 Stm100 30.146 84.196 1234.623 -1006.353 1.0 0.0 316.14 Stm101 30.154 84.196 1234.492 -1005.430 1.0 0.0 316.55

1 Lat/ Long coordinates and elevation for receptors on the Class I area were obtained from the National Park Service (NPS) Air Resources Division (ARD) website at - http://www2.nature.nps.gov/air/maps/Receptors/index.htm

Anadarko Petroleum Corporation Air quality Modeling Analysis Page 10 of 16 Class I_Model Input Parameters v1.2-St. Marks Receptors 8/24/2013Receptor Id. Latitude (deg), (North) 1 Longitude (deg),

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) Bbay1 30.113 84.571 1199.202 -1015.068 14.0 0.0 282.28 Bbay2 30.121 84.579 1198.276 -1014.254 14.0 0.0 282.04 Bbay3 30.121 84.571 1199.075 -1014.145 15.0 0.0 282.74 Bbay4 30.121 84.563 1199.873 -1014.035 14.0 0.0 283.44 Bbay5 30.121 84.546 1201.471 -1013.814 15.0 0.0 284.85 Bbay6 30.129 84.596 1196.551 -1013.550 16.0 0.0 281.09 Bbay7 30.129 84.588 1197.350 -1013.441 15.0 0.0 281.79 Bbay8 30.129 84.579 1198.149 -1013.331 15.0 0.0 282.49 Bbay9 30.129 84.571 1198.947 -1013.221 15.0 0.0 283.20 Bbay10 30.129 84.563 1199.746 -1013.111 15.0 0.0 283.90 Bbay11 30.129 84.554 1200.545 -1013.001 17.0 0.0 284.60 Bbay12 30.129 84.546 1201.344 -1012.891 16.0 0.0 285.30 Bbay13 30.138 84.604 1195.625 -1012.736 18.0 0.0 280.86 Bbay14 30.138 84.596 1196.424 -1012.627 17.0 0.0 281.56 Bbay15 30.138 84.588 1197.223 -1012.517 17.0 0.0 282.26 Bbay16 30.138 84.579 1198.022 -1012.407 17.0 0.0 282.96 Bbay17 30.138 84.571 1198.820 -1012.297 17.0 0.0 283.66 Bbay18 30.138 84.563 1199.619 -1012.187 17.0 0.0 284.36 Bbay19 30.138 84.554 1200.418 -1012.077 18.0 0.0 285.06 Bbay20 30.138 84.546 1201.217 -1011.967 17.0 0.0 285.76 Bbay21 30.146 84.604 1195.498 -1011.813 17.0 0.0 281.33 Bbay22 30.146 84.596 1196.297 -1011.703 17.0 0.0 282.02 Bbay23 30.146 84.588 1197.096 -1011.593 18.0 0.0 282.72 Bbay24 30.146 84.579 1197.895 -1011.484 18.0 0.0 283.42 Bbay25 30.146 84.571 1198.693 -1011.374 17.0 0.0 284.12 Bbay26 30.146 84.563 1199.492 -1011.264 17.0 0.0 284.82 Bbay27 30.146 84.554 1200.291 -1011.154 15.0 0.0 285.52 Bbay28 30.154 84.613 1194.573 -1010.999 18.0 0.0 281.10 Bbay29 30.154 84.604 1195.372 -1010.889 17.0 0.0 281.80 Bbay30 30.154 84.596 1196.170 -1010.780 17.0 0.0 282.49 Bbay31 30.154 84.588 1196.969 -1010.670 17.0 0.0 283.19 Bbay32 30.154 84.579 1197.768 -1010.560 17.0 0.0 283.89 Bbay33 30.154 84.571 1198.566 -1010.450 18.0 0.0 284.58 Bbay34 30.154 84.563 1199.365 -1010.340 16.0 0.0 285.28 Bbay35 30.154 84.554 1200.163 -1010.230 15.0 0.0 285.98 Bbay36 30.154 84.546 1200.962 -1010.120 15.0 0.0 286.68 Bbay37 30.154 84.538 1201.760 -1010.010 15.0 0.0 287.38 Bbay38 30.154 84.529 1202.559 -1009.900 14.0 0.0 288.08 Bbay39 30.163 84.604 1195.245 -1009.966 17.0 0.0 282.27 Bbay40 30.163 84.596 1196.043 -1009.856 17.0 0.0 282.96 Bbay41 30.163 84.588 1196.842 -1009.746 18.0 0.0 283.66 Bbay42 30.163 84.579 1197.641 -1009.636 17.0 0.0 284.36 Bbay43 30.163 84.571 1198.439 -1009.527 17.0 0.0 285.05 Bbay44 30.163 84.563 1199.238 -1009.417 17.0 0.0 285.75 Bbay45 30.163 84.554 1200.036 -1009.307 17.0 0.0 286.45 Bbay46 30.163 84.546 1200.834 -1009.197 16.0 0.0 287.14 Bbay47 30.163 84.538 1201.633 -1009.086 15.0 0.0 287.84 Bbay48 30.163 84.529 1202.431 -1008.976 15.0 0.0 288.54 Bbay49 30.163 84.521 1203.230 -1008.866 12.0 0.0 289.24 Bbay50 30.171 84.613 1194.320 -1009.152 17.0 0.0 282.05 Bbay51 30.171 84.604 1195.118 -1009.042 18.0 0.0 282.74 Bbay52 30.171 84.596 1195.917 -1008.932 17.0 0.0 283.44 Anadarko Petroleum Corporation Bradwell Bay Wilderness - Receptor Information

Anadarko Petroleum Corporation Air quality Modeling Analysis Page 11 of 16 Class I_Model Input Parameters v1.2-Bradwell Bay Receptors 8/24/2013Receptor Id. Latitude (deg), (North) 1 Longitude (deg),

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) Anadarko Petroleum Corporation Bradwell Bay Wilderness - Receptor Information

Bbay53 30.171 84.588 1196.715 -1008.823 18.0 0.0 284.13 Bbay54 30.171 84.579 1197.513 -1008.713 17.0 0.0 284.83 Bbay55 30.171 84.571 1198.312 -1008.603 17.0 0.0 285.52 Bbay56 30.171 84.563 1199.110 -1008.493 17.0 0.0 286.22 Bbay57 30.171 84.554 1199.909 -1008.383 18.0 0.0 286.91 Bbay58 30.171 84.546 1200.707 -1008.273 17.0 0.0 287.61 Bbay59 30.171 84.538 1201.505 -1008.163 17.0 0.0 288.31 Bbay60 30.171 84.529 1202.304 -1008.053 15.0 0.0 289.01 Bbay61 30.171 84.521 1203.102 -1007.942 14.0 0.0 289.71 Bbay62 30.171 84.513 1203.901 -1007.832 14.0 0.0 290.41 Bbay63 30.171 84.504 1204.699 -1007.722 12.0 0.0 291.11 Bbay64 30.179 84.621 1193.395 -1008.337 17.0 0.0 281.84 Bbay65 30.179 84.613 1194.193 -1008.228 17.0 0.0 282.53 Bbay66 30.179 84.604 1194.991 -1008.118 17.0 0.0 283.22 Bbay67 30.179 84.596 1195.790 -1008.009 18.0 0.0 283.91 Bbay68 30.179 84.588 1196.588 -1007.899 17.0 0.0 284.61 Bbay69 30.179 84.579 1197.386 -1007.789 17.0 0.0 285.30 Bbay70 30.179 84.571 1198.185 -1007.680 18.0 0.0 285.99 Bbay71 30.179 84.563 1198.983 -1007.570 17.0 0.0 286.69 Bbay72 30.179 84.554 1199.781 -1007.460 17.0 0.0 287.38 Bbay73 30.179 84.546 1200.580 -1007.350 17.0 0.0 288.08 Bbay74 30.179 84.538 1201.378 -1007.239 17.0 0.0 288.78 Bbay75 30.179 84.529 1202.176 -1007.129 17.0 0.0 289.47 Bbay76 30.179 84.521 1202.975 -1007.019 15.0 0.0 290.17 Bbay77 30.179 84.513 1203.773 -1006.909 14.0 0.0 290.87 Bbay78 30.179 84.504 1204.571 -1006.798 12.0 0.0 291.57 Bbay79 30.188 84.621 1193.268 -1007.414 15.0 0.0 282.32 Bbay80 30.188 84.613 1194.066 -1007.304 16.0 0.0 283.01 Bbay81 30.188 84.604 1194.865 -1007.195 18.0 0.0 283.70 Bbay82 30.188 84.596 1195.663 -1007.085 17.0 0.0 284.39 Bbay83 30.188 84.588 1196.461 -1006.976 17.0 0.0 285.08 Bbay84 30.188 84.579 1197.259 -1006.866 18.0 0.0 285.77 Bbay85 30.188 84.571 1198.058 -1006.756 17.0 0.0 286.47 Bbay86 30.188 84.563 1198.856 -1006.646 17.0 0.0 287.16 Bbay87 30.188 84.554 1199.654 -1006.536 17.0 0.0 287.85 Bbay88 30.188 84.546 1200.452 -1006.426 17.0 0.0 288.55 Bbay89 30.188 84.538 1201.251 -1006.316 17.0 0.0 289.24 Bbay90 30.188 84.529 1202.049 -1006.206 17.0 0.0 289.94 Bbay91 30.188 84.521 1202.847 -1006.096 16.0 0.0 290.64 Bbay92 30.188 84.513 1203.645 -1005.985 15.0 0.0 291.33 Bbay93 30.188 84.504 1204.443 -1005.875 14.0 0.0 292.03 Bbay94 30.196 84.621 1193.141 -1006.490 21.0 0.0 282.80 Bbay95 30.196 84.613 1193.940 -1006.381 18.0 0.0 283.49 Bbay96 30.196 84.604 1194.738 -1006.271 16.0 0.0 284.18 Bbay97 30.196 84.596 1195.536 -1006.162 17.0 0.0 284.87 Bbay98 30.196 84.588 1196.334 -1006.052 18.0 0.0 285.56 Bbay99 30.196 84.579 1197.132 -1005.942 17.0 0.0 286.25 Bbay100 30.196 84.571 1197.931 -1005.833 17.0 0.0 286.94 Bbay101 30.196 84.563 1198.729 -1005.723 18.0 0.0 287.64 Bbay102 30.196 84.554 1199.527 -1005.613 17.0 0.0 288.33 Bbay103 30.196 84.546 1200.325 -1005.503 17.0 0.0 289.02 Bbay104 30.196 84.538 1201.123 -1005.393 17.0 0.0 289.72

Anadarko Petroleum Corporation Air quality Modeling Analysis Page 12 of 16 Class I_Model Input Parameters v1.2-Bradwell Bay Receptors 8/24/2013Receptor Id. Latitude (deg), (North) 1 Longitude (deg),

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) Anadarko Petroleum Corporation Bradwell Bay Wilderness - Receptor Information

Bbay105 30.196 84.529 1201.921 -1005.282 16.0 0.0 290.41 Bbay106 30.196 84.521 1202.719 -1005.172 15.0 0.0 291.11 Bbay107 30.196 84.513 1203.517 -1005.062 14.0 0.0 291.80 Bbay108 30.204 84.613 1193.813 -1005.457 23.0 0.0 283.98 Bbay109 30.204 84.604 1194.611 -1005.348 22.0 0.0 284.66 Bbay110 30.204 84.596 1195.409 -1005.238 19.0 0.0 285.35 Bbay111 30.204 84.588 1196.207 -1005.129 17.0 0.0 286.04 Bbay112 30.204 84.579 1197.005 -1005.019 17.0 0.0 286.73 Bbay113 30.204 84.571 1197.804 -1004.909 17.0 0.0 287.42 Bbay114 30.204 84.563 1198.602 -1004.799 17.0 0.0 288.11 Bbay115 30.204 84.554 1199.400 -1004.689 17.0 0.0 288.80 Bbay116 30.204 84.546 1200.198 -1004.579 17.0 0.0 289.50 Bbay117 30.204 84.538 1200.996 -1004.469 16.0 0.0 290.19 Bbay118 30.204 84.529 1201.794 -1004.359 15.0 0.0 290.88 Bbay119 30.204 84.521 1202.592 -1004.249 15.0 0.0 291.58 Bbay120 30.213 84.588 1196.080 -1004.205 22.0 0.0 286.52 Bbay121 30.213 84.579 1196.878 -1004.096 21.0 0.0 287.21 Bbay122 30.213 84.571 1197.676 -1003.986 19.0 0.0 287.90 Bbay123 30.213 84.563 1198.474 -1003.876 18.0 0.0 288.59 Bbay124 30.213 84.554 1199.272 -1003.766 18.0 0.0 289.28 Bbay125 30.213 84.546 1200.070 -1003.656 17.0 0.0 289.97 Bbay126 30.213 84.538 1200.868 -1003.546 15.0 0.0 290.67 Bbay127 30.213 84.529 1201.666 -1003.436 15.0 0.0 291.36 Bbay128 30.221 84.563 1198.347 -1002.952 22.0 0.0 289.07 Bbay129 30.221 84.554 1199.145 -1002.843 19.0 0.0 289.76 Bbay130 30.221 84.546 1199.943 -1002.733 17.0 0.0 290.45 Bbay131 30.221 84.538 1200.741 -1002.622 15.0 0.0 291.14 Bbay132 30.229 84.538 1200.613 -1001.699 15.0 0.0 291.62

1 Lat/ Long coordinates and elevation for receptors on the Class I area were obtained from the National Park Service (NPS) Air Resources Division (ARD) website at - http://www2.nature.nps.gov/air/maps/Receptors/index.htm

Anadarko Petroleum Corporation Air quality Modeling Analysis Page 13 of 16 Class I_Model Input Parameters v1.2-Bradwell Bay Receptors 8/24/2013Emissions Speciation Percentage (% of Total PM10) Actual Emissions (Max. lb/hr) Reference

Total PM10 (TPM10) 100% 27.00 1 Condensable portion of TPM10 (CPM) 13.4% 3.63 2 Organic portion of CPM (SOA) 13.4% 3.63 3 Inorganic portion of CPM 0.0% 0.00 3 Filterable portion of TPM10 (FPM10) 86.6% 23.37 2 Coarse Filterable (PMC) 3.0% 0.80 4 Fine Filterable (PMF) 83.6% 22.57 2 Elemental Carbon (EC) 0.0% 0.00 5

5. Elemental Carbon has been assumed to be 0% due to lack of representative data or emission factors. 4. The percentage of Coarse filterable (PMC) in TPM10 was calculated as the difference between the percentages of FPM10 and Fine Filterable (PMF). 

### Anadarko Petroleum Corporation

Drilling Operation - Particulate Emissions Speciation

1. Total PM10 (TPM10) emissions from the MODU was calculated as the sum total of TPM10 emissions from all emission sources, which primarily comprise of diesel-fired engines. TPM10 emissions for the individual emission sources were calculated as the sum of filterable PM10 (FPM10) emissions and condensable particulate emissions (CPM). 2. AP-42, Table 3.4-2 Particulate and Particle-sizing Emission Factors for Large Uncontrolled Stationary Diesel Engines was used to speciate TPM10 into FPM10 and CPM. Filterable particulate < 3 um was used as a surrogate for PMF/ Filterable PM2.5. 3. No representative data or emission factors were available for determining inorganic (SO 4 and NO 3 ) condensable emissions. Per AP-42, Table 3.4-1 Gaseous Emission Factors for Large Stationary Diesel and All Stationary DualFuel Engines , footnote d, all sulfur in the fuel is assumed to be converted to SO 2 . Therefore, inorganic condensable emissions from the MODU were assumed to be zero. Based on guidance provided in Procedure for Speciation of Emissions for VISTAS BART Modeling, July 18, 2006, 100% of non-H 2 SO4 condensable mass was assumed to be organic condensables (SOA).

Anadarko Petroleum Corporation Air quality Modeling Analysis Page 14 of 16 Class I_Model Input Parameters v1.2-Drilling - PM Speciation 8/24/2013Emissions Speciation Percentage (% of Total PM10) Actual Emissions (Max. lb/hr) Reference

Total PM10 (TPM10) 100% 3.00 1 Condensable portion of TPM10 (CPM) 13.4% 0.40 2 Organic portion of CPM (SOA) 13.4% 0.40 3 Inorganic portion of CPM 0.0% 0.00 3 Filterable portion of TPM10 (FPM10) 86.6% 2.60 2 Coarse Filterable (PMC) 3.0% 0.09 4 Fine Filterable (PMF) 83.6% 2.51 2 Elemental Carbon (EC) 0.0% 0.00 5

5. Elemental Carbon has been assumed to be 0% due to lack of representative data or emission factors. 4. The percentage of Coarse filterable (PMC) in TPM10 was calculated as the difference between the percentages of FPM10 and Fine Filterable (PMF). 

### Anadarko Petroleum Corporation

Supp O\%RDW

- Particulate Emissions Speciation

1. Total PM10 (TPM10) emissions from the MODU was calculated as the sum total of TPM10 emissions from all emission sources, which primarily comprise of diesel-fired engines. TPM10 emissions for the individual emission sources were calculated as the sum of filterable PM10 (FPM10) emissions and condensable particulate emissions (CPM). 2. AP-42, Table 3.4-2 Particulate and Particle-sizing Emission Factors for Large Uncontrolled Stationary Diesel Engines was used to speciate TPM10 into FPM10 and CPM. Filterable particulate < 3 um was used as a surrogate for PMF/ Filterable PM2.5. 3. No representative data or emission factors were available for determining inorganic (SO 4 and NO 3 ) condensable emissions. Per AP-42, Table 3.4-1 Gaseous Emission Factors for Large Stationary Diesel and All Stationary DualFuel Engines , footnote d, all sulfur in the fuel is assumed to be converted to SO 2 . Therefore, inorganic condensable emissions from the MODU were assumed to be zero. Based on guidance provided in Procedure for Speciation of Emissions for VISTAS BART Modeling, July 18, 2006, 100% of non-H 2 SO4 condensable mass was assumed to be organic condensables (SOA).

Anadarko Petroleum Corporation Air quality Modeling Analysis Page 15 of 16 Class I_Model Input Parameters v1.2-SV - PM Speciation 8/24/2013Species Dry Deposition Phase (Gas/ Particle) 1 Wet Deposition

Modeled? (Yes/ No) 2 Geometric Mass Mean Diameter 3 (microns) Geometric Standard

Deviation 3 (microns)

SO 2 Gas Yes N/A N/A SO 4 Particle Yes 0.48 2.0 NO x Gas No N/A N/A HNO 3 Gas Yes N/A N/A NO 3 Particle Yes 0.48 2.0 SOA Particle Yes 0.48 2.0 PMC Particle Yes 6.5 0.0 PMF Particle Yes 1.75 0.0 

### Anadarko Petroleum Corporation Deposition Analysis - Input Parameters

1 Gas phase deposition has been analyzed for SO 2 , NO x , and HNO 3 , and particle phase deposition for SO 4 , NO 3 , and PM categories, in accordance with the U.S. Forest Service – Air Quality Program, National Park Service – Air Resources Division, U.S. Fish and Wildlife Service – Air Quality Branch, Phase I Report of the Federal Land Managers’ Air Quality Related Values Workgroup (FLAG), October 2010. (FLAG Phase I Revised).

2 Both wet and dry fluxes have been estimated for all pollutant species except NOx, in accordance with the FLAG Phase I revised report. Both dry and wet deposition were disabled for NOx and PM10 Increment Modeling.

3 The average particle diameter for each speciated particulate (PM) category has been taken as the geometric mass mean diameter for that category. Geometric standard deviation has been assumed to be zero for all PM categories. Default CALPUFF values have been used for SOA, SO 4 , and NO 3 particles.

Anadarko Petroleum Corporation Air quality Modeling Analysis Page 16 of 16 Class I_Model Input Parameters v1.2-Deposition 8/24/2013Anadarko Petroleum Corporat ion Trinity Consultants 

## APPENDIX D2: CLASS II MODEL INPUT PARAMETERSReference latitude : 40 deg Reference longitude : 97 deg (based on + Western Hemisphere) Standard parallel #1 : 33 deg Standard parallel #2 : 45 deg

Latitude (deg) Longitude (deg) LCC Coordinates X (km) LCC Coordinates

Y (km) 25 miles from nearest state seaward boundary 28.85 87.52 930.28 -1189.81

Class II Area Distance (km) 2

25 miles from nearest shoreline 94.9

2 Represents the distance to the closest receptor on Class II area. Coordinates for receptors on the Class II areas were obtained from EPA Region IV. 

### Anadarko Petroleum Corporation

LCC Reference Parameters ¥

¥ Based on the model design used by Visibility Improvement State and Tribal Association of the Southeast (VISTAS) for Regional Haze Rule modeling - Protocol for the Application of the CALPUFF Model for Analyses of Best Available Retrofit Technology (BART), December 22, 2005, revised August 31, 2006. 

### Worksheet for Converting Latitude and Longitude to Lambert Conformal Projection Coordinates

Class II Area Worst-case Drillship Location 1

1 Represents the worst-case location within the lease block drilling area with respect to each Class I area.

Anadarko Petroleum Corporation Air quality Modeling Analysis 4 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Coordinate Conversion LCC(DS) 8/24/2013Reference latitude : 40 deg Reference longitude : 97 deg (based on + Western Hemisphere) Standard parallel #1 : 33 deg Standard parallel #2 : 45 deg

Latitude (deg) Longitude (deg) LCC Coordinates X (km) LCC Coordinates

Y (km) 25 miles from nearest state seaward boundary 29.24 87.54 925.58 -1143.75

Class II Area Distance (km) 2

25 miles from nearest shoreline 48.6

1 Represents the worst-case supp ly boat location with respect to closest receptor

.

2 Represents the distance to the closest receptor. Coordinates for receptors on the Class II areas were obtained from EPA Region IV. 

### Anadarko Petroleum Corporation Worksheet for Converting Latitude and Longitude to Lambert Conformal Projection Coordinates

LCC Reference Parameters ¥

¥ Based on the model design used by Visibility Improvement State and Tribal Association of the Southeast (VISTAS) for Regional Haze Rule modeling - Protocol for the Application of the CALPUFF Model for Analyses of Best Available Retrofit Technology (BART), December 22, 2005, revised August 31, 2006.

Class II Area Worst-case Supp O\%RDW Location 1

Anadarko Petroleum Corporation Air quality Modeling Analysis 3 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Coordinate Conversion LCC (S B ) 8/24/2013Source Location LCC X LCC Y Worse-Case Drillship Location 930.28 -1189.81

Computational Domain Setup - STEP 1 LCC X LCC Y Northernmost Point -1071.15 Southernmost Point -1375.25 Westernmost Point 724.56 Easternmost Point 1422.68

Computational Domain Setup - STEP 2 (based on +/- 50 km) LCC X LCC Y SW 674.56 -1425.25 NW 674.56 -1021.15 NE 1472.68 -1021.15 SE 1472.68 -1425.25

Computational Domain Setup - STEP 3 (rounded w/ 4 km spacing) LCC X LCC Y SW 673.995 -1426.0 NW 673.995 -1018.0 NE 1473.995 -1018.0 SE 1473.995 -1426.0 Distance Span 800 408 Grid Spacing 4 4 Number of Cells 200 102

VISTAS Domain 2 (Meteorological Domain) SW corner LCC X LCC Y (Fixed) Meteorological Grid Origin Coordinates 721.995 -1598.0

Computational Grid Settings Cells X Cells Y SW -12 43 NE 188 145 Grid Spacing 4 4 Number of Cells (Check) 200 102 (Used Max/ Min of Class I area receptor coordinates and source coordinates to ensure the domain included the source as well as all receptors).

(Enter these grid settings into CALPUFF). 

### Anadarko Petroleum Corporation Class II - Computational Domain Grid Setup

(Domain endpoint coordinates moved further out to coincide with the grid point locations of the meteorological domain (at grid spacing of 4 Km) (Extends domain to 50 km further beyond the source and receptors for conservatism).

Anadarko Petroleum Corporation Air quality Modeling Analysis 5 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II - Computational Domain 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) Receptor 1 28.495 89.657 724.559 -1249.311 0.0 0.0 214.15 Receptor 2 28.490 89.648 725.465 -1249.757 0.0 0.0 213.41 Receptor 3 28.486 89.639 726.381 -1250.182 0.0 0.0 212.65 Receptor 4 28.482 89.630 727.305 -1250.588 0.0 0.0 211.88 Receptor 5 28.477 89.621 728.239 -1250.971 0.0 0.0 211.09 Receptor 6 28.474 89.612 729.181 -1251.334 0.0 0.0 210.30 Receptor 7 28.470 89.603 730.131 -1251.674 0.0 0.0 209.49 Receptor 8 28.466 89.593 731.089 -1251.992 0.0 0.0 208.67 Receptor 9 28.463 89.584 732.053 -1252.289 0.0 0.0 207.84 Receptor 10 28.460 89.574 733.025 -1252.562 0.0 0.0 206.99 Receptor 11 28.457 89.565 734.001 -1252.813 0.0 0.0 206.14 Receptor 12 28.454 89.555 734.985 -1253.040 0.0 0.0 205.27 Receptor 13 28.452 89.545 735.973 -1253.244 0.0 0.0 204.40 Receptor 14 28.449 89.535 736.965 -1253.425 0.0 0.0 203.51 Receptor 15 28.447 89.525 737.962 -1253.582 0.0 0.0 202.61 Receptor 16 28.445 89.515 738.962 -1253.715 0.0 0.0 201.71 Receptor 17 28.444 89.505 739.964 -1253.824 0.0 0.0 200.79 Receptor 18 28.442 89.495 740.969 -1253.909 0.0 0.0 199.87 Receptor 19 28.441 89.485 741.976 -1253.971 0.0 0.0 198.93 Receptor 20 28.440 89.475 742.984 -1254.007 0.0 0.0 197.99 Receptor 21 28.439 89.465 743.993 -1254.019 0.0 0.0 197.04 Receptor 22 28.438 89.455 745.001 -1254.008 0.0 0.0 196.08 Receptor 23 28.438 89.444 746.008 -1253.970 0.0 0.0 195.12 Receptor 24 28.438 89.434 747.015 -1253.911 0.0 0.0 194.15 Receptor 25 28.438 89.424 748.020 -1253.825 0.0 0.0 193.17 Receptor 26 28.438 89.414 749.023 -1253.715 0.0 0.0 192.19 Receptor 27 28.438 89.404 750.023 -1253.583 0.0 0.0 191.20 Receptor 28 28.439 89.394 751.019 -1253.424 0.0 0.0 190.21 Receptor 29 28.440 89.383 752.011 -1253.242 0.0 0.0 189.22 Receptor 30 28.441 89.373 752.998 -1253.037 0.0 0.0 188.22 Receptor 31 28.442 89.363 753.981 -1252.807 0.0 0.0 187.21 Receptor 32 28.444 89.353 754.957 -1252.555 0.0 0.0 186.21 Receptor 33 28.446 89.343 755.927 -1252.277 0.0 0.0 185.20 Receptor 34 28.447 89.333 756.890 -1251.978 0.0 0.0 184.20 Receptor 35 28.450 89.323 757.847 -1251.656 0.0 0.0 183.19 Receptor 36 28.452 89.313 758.794 -1251.310 0.0 0.0 182.18 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Anadarko Petroleum Corporation Air quality Modeling Analysis 6 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 37 28.454 89.304 759.734 -1250.943 0.0 0.0 181.17 Receptor 38 28.457 89.294 760.665 -1250.554 0.0 0.0 180.16 Receptor 39 28.460 89.284 761.586 -1250.141 0.0 0.0 179.16 Receptor 40 28.463 89.275 762.498 -1249.709 0.0 0.0 178.15 Receptor 41 28.467 89.265 763.400 -1249.255 0.0 0.0 177.15 Receptor 42 28.470 89.256 764.290 -1248.779 0.0 0.0 176.15 Receptor 43 28.474 89.246 765.170 -1248.285 0.0 0.0 175.16 Receptor 44 28.478 89.237 766.039 -1247.771 0.0 0.0 174.17 Receptor 45 28.482 89.228 766.897 -1247.241 0.0 0.0 173.18 Receptor 46 28.486 89.219 767.744 -1246.689 0.0 0.0 172.20 Receptor 47 28.491 89.210 768.577 -1246.119 0.0 0.0 171.22 Receptor 48 28.495 89.201 769.398 -1245.531 0.0 0.0 170.26 Receptor 49 28.500 89.193 770.207 -1244.926 0.0 0.0 169.29 Receptor 50 28.501 89.183 771.146 -1244.724 0.0 0.0 168.34 Receptor 51 28.500 89.173 772.155 -1244.707 0.0 0.0 167.38 Receptor 52 28.500 89.163 773.162 -1244.665 0.0 0.0 166.42 Receptor 53 28.500 89.152 774.169 -1244.601 0.0 0.0 165.45 Receptor 54 28.500 89.142 775.173 -1244.510 0.0 0.0 164.47 Receptor 55 28.500 89.132 776.175 -1244.395 0.0 0.0 163.48 Receptor 56 28.500 89.122 777.174 -1244.258 0.0 0.0 162.50 Receptor 57 28.501 89.112 778.169 -1244.094 0.0 0.0 161.51 Receptor 58 28.502 89.102 779.161 -1243.908 0.0 0.0 160.51 Receptor 59 28.503 89.091 780.147 -1243.697 0.0 0.0 159.51 Receptor 60 28.504 89.081 781.128 -1243.463 0.0 0.0 158.51 Receptor 61 28.506 89.071 782.103 -1243.206 0.0 0.0 157.50 Receptor 62 28.508 89.061 783.072 -1242.924 0.0 0.0 156.49 Receptor 63 28.510 89.051 784.034 -1242.620 0.0 0.0 155.49 Receptor 64 28.512 89.041 784.988 -1242.293 0.0 0.0 154.48 Receptor 65 28.514 89.031 785.934 -1241.943 0.0 0.0 153.47 Receptor 66 28.517 89.022 786.872 -1241.571 0.0 0.0 152.46 Receptor 67 28.520 89.012 787.801 -1241.177 0.0 0.0 151.45 Receptor 68 28.522 89.002 788.720 -1240.761 0.0 0.0 150.45 Receptor 69 28.526 88.993 789.630 -1240.324 0.0 0.0 149.44 Receptor 70 28.529 88.983 790.529 -1239.866 0.0 0.0 148.44 Receptor 71 28.533 88.974 791.418 -1239.387 0.0 0.0 147.44 Receptor 72 28.536 88.965 792.295 -1238.889 0.0 0.0 146.45

Anadarko Petroleum Corporation Air quality Modeling Analysis 7 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 73 28.540 88.955 793.161 -1238.370 0.0 0.0 145.46 Receptor 74 28.544 88.946 794.015 -1237.830 0.0 0.0 144.48 Receptor 75 28.549 88.937 794.856 -1237.272 0.0 0.0 143.50 Receptor 76 28.553 88.928 795.685 -1236.695 0.0 0.0 142.53 Receptor 77 28.558 88.920 796.500 -1236.099 0.0 0.0 141.56 Receptor 78 28.563 88.911 797.302 -1235.485 0.0 0.0 140.60 Receptor 79 28.567 88.903 798.090 -1234.853 0.0 0.0 139.65 Receptor 80 28.573 88.894 798.865 -1234.205 0.0 0.0 138.71 Receptor 81 28.578 88.886 799.624 -1233.539 0.0 0.0 137.78 Receptor 82 28.583 88.878 800.369 -1232.857 0.0 0.0 136.86 Receptor 83 28.589 88.870 801.100 -1232.159 0.0 0.0 135.94 Receptor 84 28.595 88.862 801.816 -1231.445 0.0 0.0 135.04 Receptor 85 28.601 88.854 802.516 -1230.717 0.0 0.0 134.15 Receptor 86 28.607 88.846 803.205 -1229.978 0.0 0.0 133.27 Receptor 87 28.613 88.839 803.881 -1229.226 0.0 0.0 132.40 Receptor 88 28.619 88.832 804.539 -1228.459 0.0 0.0 131.54 Receptor 89 28.625 88.824 805.183 -1227.679 0.0 0.0 130.70 Receptor 90 28.632 88.817 805.817 -1226.892 0.0 0.0 129.87 Receptor 91 28.638 88.810 806.435 -1226.092 0.0 0.0 129.05 Receptor 92 28.645 88.803 807.038 -1225.280 0.0 0.0 128.24 Receptor 93 28.652 88.797 807.623 -1224.455 0.0 0.0 127.45 Receptor 94 28.659 88.790 808.192 -1223.620 0.0 0.0 126.68 Receptor 95 28.666 88.784 808.746 -1222.773 0.0 0.0 125.92 Receptor 96 28.673 88.778 809.281 -1221.915 0.0 0.0 125.18 Receptor 97 28.681 88.772 809.800 -1221.047 0.0 0.0 124.46 Receptor 98 28.688 88.766 810.302 -1220.168 0.0 0.0 123.76 Receptor 99 28.695 88.759 810.887 -1219.352 0.0 0.0 122.99 Receptor 100 28.701 88.752 811.555 -1218.594 0.0 0.0 122.16 Receptor 101 28.707 88.744 812.209 -1217.823 0.0 0.0 121.35 Receptor 102 28.714 88.737 812.844 -1217.037 0.0 0.0 120.55 Receptor 103 28.720 88.730 813.465 -1216.239 0.0 0.0 119.77 Receptor 104 28.727 88.723 814.069 -1215.428 0.0 0.0 119.00 Receptor 105 28.734 88.717 814.654 -1214.604 0.0 0.0 118.25 Receptor 106 28.741 88.710 815.225 -1213.769 0.0 0.0 117.52 Receptor 107 28.748 88.704 815.779 -1212.923 0.0 0.0 116.81 Receptor 108 28.755 88.698 816.315 -1212.066 0.0 0.0 116.12

Anadarko Petroleum Corporation Air quality Modeling Analysis 8 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 109 28.762 88.691 816.835 -1211.199 0.0 0.0 115.44 Receptor 110 28.770 88.686 817.338 -1210.321 0.0 0.0 114.79 Receptor 111 28.777 88.680 817.823 -1209.433 0.0 0.0 114.15 Receptor 112 28.785 88.674 818.292 -1208.537 0.0 0.0 113.54 Receptor 113 28.791 88.667 818.901 -1207.740 0.0 0.0 112.81 Receptor 114 28.797 88.660 819.564 -1206.978 0.0 0.0 112.04 Receptor 115 28.804 88.653 820.210 -1206.202 0.0 0.0 111.28 Receptor 116 28.810 88.646 820.840 -1205.411 0.0 0.0 110.54 Receptor 117 28.817 88.639 821.454 -1204.608 0.0 0.0 109.83 Receptor 118 28.824 88.632 822.051 -1203.793 0.0 0.0 109.13 Receptor 119 28.830 88.625 822.631 -1202.965 0.0 0.0 108.45 Receptor 120 28.837 88.619 823.196 -1202.127 0.0 0.0 107.79 Receptor 121 28.844 88.612 823.744 -1201.277 0.0 0.0 107.15 Receptor 122 28.852 88.606 824.273 -1200.416 0.0 0.0 106.53 Receptor 123 28.859 88.600 824.786 -1199.544 0.0 0.0 105.94 Receptor 124 29.420 88.540 824.847 -1136.358 0.0 0.0 118.21 Receptor 125 29.412 88.539 825.021 -1137.224 0.0 0.0 117.66 Receptor 126 28.866 88.594 825.283 -1198.663 0.0 0.0 105.37 Receptor 127 29.427 88.533 825.424 -1135.529 0.0 0.0 118.07 Receptor 128 29.404 88.535 825.494 -1138.117 0.0 0.0 116.84 Receptor 129 28.874 88.589 825.760 -1197.772 0.0 0.0 104.82 Receptor 130 29.395 88.531 825.951 -1139.018 0.0 0.0 116.04 Receptor 131 29.433 88.526 826.025 -1134.719 0.0 0.0 117.92 Receptor 132 28.882 88.583 826.221 -1196.872 0.0 0.0 104.30 Receptor 133 29.387 88.527 826.393 -1139.927 0.0 0.0 115.24 Receptor 134 29.440 88.519 826.617 -1133.902 0.0 0.0 117.78 Receptor 135 28.889 88.578 826.666 -1195.964 0.0 0.0 103.80 Receptor 136 29.378 88.524 826.818 -1140.844 0.0 0.0 114.46 Receptor 137 28.897 88.573 827.093 -1195.047 0.0 0.0 103.32 Receptor 138 29.447 88.513 827.192 -1133.073 0.0 0.0 117.67 Receptor 139 29.370 88.521 827.227 -1141.769 0.0 0.0 113.70 Receptor 140 28.905 88.568 827.502 -1194.122 0.0 0.0 102.87 Receptor 141 29.361 88.518 827.620 -1142.700 0.0 0.0 112.95 Receptor 142 29.454 88.506 827.752 -1132.234 0.0 0.0 117.59 Receptor 143 28.913 88.563 827.894 -1193.190 0.0 0.0 102.44 Receptor 144 29.352 88.515 827.995 -1143.639 0.0 0.0 112.22

Anadarko Petroleum Corporation Air quality Modeling Analysis 9 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 145 28.921 88.558 828.269 -1192.250 0.0 0.0 102.04 Receptor 146 29.461 88.500 828.293 -1131.382 0.0 0.0 117.54 Receptor 147 29.344 88.512 828.355 -1144.584 0.0 0.0 111.51 Receptor 148 28.929 88.553 828.626 -1191.303 0.0 0.0 101.66 Receptor 149 29.335 88.509 828.698 -1145.535 0.0 0.0 110.81 Receptor 150 29.468 88.494 828.817 -1130.520 0.0 0.0 117.52 Receptor 151 28.937 88.549 828.965 -1190.350 0.0 0.0 101.32 Receptor 152 29.326 88.507 829.026 -1146.491 0.0 0.0 110.13 Receptor 153 28.945 88.545 829.286 -1189.391 0.0 0.0 100.99 Receptor 154 29.476 88.488 829.325 -1129.647 0.0 0.0 117.52 Receptor 155 29.317 88.505 829.334 -1147.454 0.0 0.0 109.47 Receptor 156 28.954 88.541 829.589 -1188.425 0.0 0.0 100.70 Receptor 157 29.309 88.503 829.627 -1148.422 0.0 0.0 108.83 Receptor 158 29.483 88.482 829.817 -1128.766 0.0 0.0 117.56 Receptor 159 28.962 88.537 829.876 -1187.455 0.0 0.0 100.43 Receptor 160 29.300 88.501 829.905 -1149.395 0.0 0.0 108.21 Receptor 161 28.970 88.534 830.145 -1186.479 0.0 0.0 100.19 Receptor 162 29.291 88.499 830.163 -1150.373 0.0 0.0 107.60 Receptor 163 29.491 88.476 830.290 -1127.874 0.0 0.0 117.62 Receptor 164 28.979 88.530 830.395 -1185.499 0.0 0.0 99.98 Receptor 165 29.282 88.497 830.406 -1151.355 0.0 0.0 107.02 Receptor 166 28.987 88.527 830.629 -1184.514 0.0 0.0 99.79 Receptor 167 29.273 88.496 830.632 -1152.341 0.0 0.0 106.46 Receptor 168 29.498 88.471 830.746 -1126.974 0.0 0.0 117.71 Receptor 169 29.264 88.495 830.840 -1153.331 0.0 0.0 105.92 Receptor 170 28.996 88.524 830.844 -1183.525 0.0 0.0 99.63 Receptor 171 29.255 88.494 831.032 -1154.324 0.0 0.0 105.40 Receptor 172 29.005 88.521 831.042 -1182.533 0.0 0.0 99.50 Receptor 173 29.506 88.465 831.186 -1126.065 0.0 0.0 117.83 Receptor 174 29.246 88.493 831.206 -1155.320 0.0 0.0 104.91 Receptor 175 29.013 88.518 831.223 -1181.537 0.0 0.0 99.40 Receptor 176 29.237 88.492 831.365 -1156.319 0.0 0.0 104.43 Receptor 177 29.022 88.515 831.385 -1180.538 0.0 0.0 99.33 Receptor 178 29.228 88.492 831.504 -1157.322 0.0 0.0 103.98 Receptor 179 29.031 88.513 831.532 -1179.537 0.0 0.0 99.28 Receptor 180 29.514 88.460 831.608 -1125.148 0.0 0.0 117.97

Anadarko Petroleum Corporation Air quality Modeling Analysis 10 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 181 29.219 88.492 831.628 -1158.326 0.0 0.0 103.55 Receptor 182 29.040 88.511 831.659 -1178.532 0.0 0.0 99.26 Receptor 183 29.210 88.492 831.736 -1159.332 0.0 0.0 103.15 Receptor 184 29.049 88.509 831.770 -1177.527 0.0 0.0 99.27 Receptor 185 29.201 88.492 831.824 -1160.340 0.0 0.0 102.77 Receptor 186 29.057 88.507 831.865 -1176.519 0.0 0.0 99.31 Receptor 187 29.192 88.492 831.897 -1161.349 0.0 0.0 102.42 Receptor 188 29.066 88.505 831.940 -1175.509 0.0 0.0 99.37 Receptor 189 29.183 88.492 831.953 -1162.359 0.0 0.0 102.09 Receptor 190 29.174 88.493 831.990 -1163.371 0.0 0.0 101.78 Receptor 191 29.138 88.497 831.995 -1167.417 0.0 0.0 100.80 Receptor 192 29.075 88.503 831.998 -1174.499 0.0 0.0 99.47 Receptor 193 29.147 88.496 832.001 -1166.406 0.0 0.0 101.03 Receptor 194 29.165 88.494 832.011 -1164.382 0.0 0.0 101.51 Receptor 195 29.522 88.455 832.012 -1124.223 0.0 0.0 118.15 Receptor 196 29.156 88.494 832.015 -1165.394 0.0 0.0 101.25 Receptor 197 29.084 88.502 832.039 -1173.488 0.0 0.0 99.59 Receptor 198 29.129 88.497 832.043 -1168.428 0.0 0.0 100.54 Receptor 199 29.093 88.501 832.065 -1172.476 0.0 0.0 99.73 Receptor 200 29.120 88.498 832.073 -1169.440 0.0 0.0 100.30 Receptor 201 29.102 88.500 832.082 -1171.464 0.0 0.0 99.90 Receptor 202 29.111 88.499 832.087 -1170.452 0.0 0.0 100.08 Receptor 203 29.530 88.450 832.399 -1123.290 0.0 0.0 118.35 Receptor 204 29.538 88.446 832.768 -1122.350 0.0 0.0 118.57 Receptor 205 29.546 88.441 833.134 -1121.409 0.0 0.0 118.81 Receptor 206 29.554 88.436 833.493 -1120.465 0.0 0.0 119.07 Receptor 207 29.562 88.432 833.836 -1119.515 0.0 0.0 119.34 Receptor 208 29.570 88.428 834.161 -1118.559 0.0 0.0 119.65 Receptor 209 29.578 88.423 834.480 -1117.600 0.0 0.0 119.97 Receptor 210 29.587 88.419 834.784 -1116.637 0.0 0.0 120.31 Receptor 211 29.595 88.416 835.071 -1115.669 0.0 0.0 120.67 Receptor 212 29.603 88.412 835.340 -1114.695 0.0 0.0 121.06 Receptor 213 29.612 88.408 835.596 -1113.718 0.0 0.0 121.47 Receptor 214 29.620 88.405 835.852 -1112.741 0.0 0.0 121.89 Receptor 215 29.629 88.401 836.103 -1111.763 0.0 0.0 122.31 Receptor 216 29.637 88.398 836.354 -1110.785 0.0 0.0 122.75

Anadarko Petroleum Corporation Air quality Modeling Analysis 11 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 217 29.646 88.394 836.593 -1109.803 0.0 0.0 123.20 Receptor 218 29.654 88.391 836.817 -1108.818 0.0 0.0 123.67 Receptor 219 29.663 88.388 837.028 -1107.830 0.0 0.0 124.17 Receptor 220 29.672 88.385 837.235 -1106.842 0.0 0.0 124.67 Receptor 221 29.680 88.382 837.436 -1105.852 0.0 0.0 125.18 Receptor 222 29.689 88.379 837.621 -1104.859 0.0 0.0 125.71 Receptor 223 29.698 88.376 837.788 -1103.863 0.0 0.0 126.26 Receptor 224 29.706 88.374 837.943 -1102.864 0.0 0.0 126.83 Receptor 225 29.715 88.371 838.092 -1101.866 0.0 0.0 127.41 Receptor 226 29.724 88.369 838.242 -1100.867 0.0 0.0 127.99 Receptor 227 29.733 88.366 838.377 -1099.866 0.0 0.0 128.59 Receptor 228 29.737 88.359 839.066 -1099.354 0.0 0.0 128.46 Receptor 229 29.738 88.349 840.029 -1099.066 0.0 0.0 127.98 Receptor 230 29.740 88.339 840.986 -1098.756 0.0 0.0 127.53 Receptor 231 29.742 88.329 841.935 -1098.424 0.0 0.0 127.11 Receptor 232 29.745 88.319 842.877 -1098.072 0.0 0.0 126.71 Receptor 233 29.747 88.309 843.819 -1097.720 0.0 0.0 126.32 Receptor 234 29.750 88.299 844.756 -1097.357 0.0 0.0 125.95 Receptor 235 29.752 88.289 845.690 -1096.983 0.0 0.0 125.59 Receptor 236 29.755 88.279 846.614 -1096.585 0.0 0.0 125.26 Receptor 237 29.758 88.269 847.527 -1096.164 0.0 0.0 124.97 Receptor 238 29.761 88.259 848.432 -1095.725 0.0 0.0 124.71 Receptor 239 29.764 88.250 849.328 -1095.268 0.0 0.0 124.47 Receptor 240 29.766 88.240 850.291 -1095.005 0.0 0.0 124.04 Receptor 241 29.766 88.231 851.137 -1094.936 0.0 0.0 123.55 Receptor 242 29.763 88.221 852.110 -1095.189 0.0 0.0 122.74 Receptor 243 29.760 88.211 853.090 -1095.417 0.0 0.0 121.94 Receptor 244 29.757 88.202 854.074 -1095.624 0.0 0.0 121.16 Receptor 245 29.755 88.192 855.063 -1095.805 0.0 0.0 120.39 Receptor 246 29.752 88.182 856.056 -1095.963 0.0 0.0 119.65 Receptor 247 29.750 88.171 857.053 -1096.097 0.0 0.0 118.93 Receptor 248 29.748 88.161 858.053 -1096.206 0.0 0.0 118.23 Receptor 249 29.747 88.151 859.055 -1096.291 0.0 0.0 117.56 Receptor 250 29.745 88.141 860.058 -1096.351 0.0 0.0 116.90 Receptor 251 29.744 88.131 861.063 -1096.386 0.0 0.0 116.27 Receptor 252 29.743 88.120 862.068 -1096.398 0.0 0.0 115.67

Anadarko Petroleum Corporation Air quality Modeling Analysis 12 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 253 29.742 88.110 863.073 -1096.383 0.0 0.0 115.09 Receptor 254 29.742 88.100 864.078 -1096.344 0.0 0.0 114.54 Receptor 255 29.742 88.089 865.081 -1096.280 0.0 0.0 114.01 Receptor 256 29.741 88.079 866.082 -1096.192 0.0 0.0 113.52 Receptor 257 29.742 88.069 867.081 -1096.078 0.0 0.0 113.05 Receptor 258 29.742 88.058 868.077 -1095.939 0.0 0.0 112.61 Receptor 259 29.743 88.048 869.070 -1095.778 0.0 0.0 112.20 Receptor 260 29.743 88.038 870.057 -1095.590 0.0 0.0 111.82 Receptor 261 29.744 88.028 871.040 -1095.378 0.0 0.0 111.48 Receptor 262 29.746 88.017 872.017 -1095.143 0.0 0.0 111.16 Receptor 263 29.747 88.007 872.989 -1094.882 0.0 0.0 110.88 Receptor 264 29.749 87.997 873.954 -1094.600 0.0 0.0 110.63 Receptor 265 29.751 87.987 874.911 -1094.293 0.0 0.0 110.41 Receptor 266 29.753 87.977 875.861 -1093.962 0.0 0.0 110.22 Receptor 267 29.755 87.967 876.803 -1093.610 0.0 0.0 110.07 Receptor 268 29.757 87.957 877.735 -1093.234 0.0 0.0 109.95 Receptor 269 29.760 87.947 878.658 -1092.835 0.0 0.0 109.86 Receptor 270 29.762 87.937 879.621 -1092.546 0.0 0.0 109.67 Receptor 271 29.763 87.927 880.603 -1092.375 0.0 0.0 109.37 Receptor 272 29.762 87.916 881.607 -1092.328 0.0 0.0 108.96 Receptor 273 29.762 87.906 882.611 -1092.263 0.0 0.0 108.57 Receptor 274 29.761 87.896 883.614 -1092.206 0.0 0.0 108.19 Receptor 275 29.761 87.885 884.618 -1092.150 0.0 0.0 107.81 Receptor 276 29.761 87.875 885.621 -1092.087 0.0 0.0 107.45 Receptor 277 29.760 87.865 886.626 -1092.042 0.0 0.0 107.07 Receptor 278 29.760 87.854 887.629 -1091.990 0.0 0.0 106.72 Receptor 279 29.759 87.844 888.632 -1091.917 0.0 0.0 106.39 Receptor 280 29.759 87.834 889.633 -1091.822 0.0 0.0 106.09 Receptor 281 29.760 87.823 890.631 -1091.704 0.0 0.0 105.82 Receptor 282 29.760 87.813 891.627 -1091.563 0.0 0.0 105.58 Receptor 283 29.760 87.803 892.620 -1091.406 0.0 0.0 105.37 Receptor 284 29.761 87.792 893.609 -1091.225 0.0 0.0 105.19 Receptor 285 29.762 87.782 894.593 -1091.023 0.0 0.0 105.04 Receptor 286 29.763 87.772 895.579 -1090.823 0.0 0.0 104.90 Receptor 287 29.764 87.762 896.558 -1090.597 0.0 0.0 104.79 Receptor 288 29.765 87.751 897.537 -1090.366 0.0 0.0 104.70

Anadarko Petroleum Corporation Air quality Modeling Analysis 13 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 289 29.766 87.741 898.514 -1090.129 0.0 0.0 104.62 Receptor 290 29.768 87.731 899.486 -1089.869 0.0 0.0 104.58 Receptor 291 29.769 87.721 900.452 -1089.591 0.0 0.0 104.57 Receptor 292 29.771 87.710 901.420 -1089.318 0.0 0.0 104.56 Receptor 293 29.773 87.700 902.383 -1089.030 0.0 0.0 104.57 Receptor 294 29.775 87.690 903.341 -1088.725 0.0 0.0 104.62 Receptor 295 29.776 87.680 904.300 -1088.424 0.0 0.0 104.66 Receptor 296 29.778 87.670 905.272 -1088.167 0.0 0.0 104.68 Receptor 297 29.779 87.660 906.252 -1087.941 0.0 0.0 104.67 Receptor 298 29.780 87.649 907.229 -1087.706 0.0 0.0 104.68 Receptor 299 29.781 87.639 908.202 -1087.453 0.0 0.0 104.71 Receptor 300 29.783 87.629 909.172 -1087.188 0.0 0.0 104.77 Receptor 301 29.784 87.619 910.144 -1086.935 0.0 0.0 104.83 Receptor 302 29.785 87.608 911.127 -1086.722 0.0 0.0 104.85 Receptor 303 29.786 87.598 912.105 -1086.487 0.0 0.0 104.91 Receptor 304 29.788 87.588 913.076 -1086.227 0.0 0.0 105.00 Receptor 305 29.789 87.578 914.041 -1085.943 0.0 0.0 105.13 Receptor 306 29.791 87.568 914.998 -1085.637 0.0 0.0 105.29 Receptor 307 29.793 87.558 915.947 -1085.306 0.0 0.0 105.49 Receptor 308 29.796 87.547 916.890 -1084.956 0.0 0.0 105.71 Receptor 309 29.798 87.538 917.826 -1084.587 0.0 0.0 105.96 Receptor 310 29.801 87.528 918.754 -1084.200 0.0 0.0 106.24 Receptor 311 29.803 87.518 919.692 -1083.836 0.0 0.0 106.50 Receptor 312 29.699 87.520 920.655 -1095.406 0.0 0.0 94.90 Receptor 313 29.702 87.510 921.589 -1095.031 0.0 0.0 95.18 Receptor 314 29.704 87.500 922.520 -1094.651 0.0 0.0 95.48 Receptor 315 29.706 87.490 923.462 -1094.303 0.0 0.0 95.75 Receptor 316 29.708 87.480 924.438 -1094.058 0.0 0.0 95.93 Receptor 317 29.709 87.470 925.408 -1093.793 0.0 0.0 96.14 Receptor 318 29.711 87.460 926.373 -1093.508 0.0 0.0 96.38 Receptor 319 29.713 87.450 927.331 -1093.205 0.0 0.0 96.65 Receptor 320 29.714 87.439 928.285 -1092.883 0.0 0.0 96.95 Receptor 321 29.717 87.429 929.231 -1092.542 0.0 0.0 97.28 Receptor 322 29.719 87.419 930.169 -1092.181 0.0 0.0 97.63 Receptor 323 29.721 87.409 931.101 -1091.801 0.0 0.0 98.02 Receptor 324 29.724 87.400 932.024 -1091.402 0.0 0.0 98.43

Anadarko Petroleum Corporation Air quality Modeling Analysis 14 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 325 29.727 87.390 932.940 -1090.987 0.0 0.0 98.86 Receptor 326 29.729 87.380 933.894 -1090.667 0.0 0.0 99.21 Receptor 327 29.731 87.370 934.842 -1090.335 0.0 0.0 99.58 Receptor 328 29.733 87.360 935.797 -1090.017 0.0 0.0 99.95 Receptor 329 29.734 87.349 936.765 -1089.747 0.0 0.0 100.28 Receptor 330 29.736 87.339 937.734 -1089.478 0.0 0.0 100.61 Receptor 331 29.737 87.329 938.698 -1089.192 0.0 0.0 100.97 Receptor 332 29.739 87.319 939.656 -1088.887 0.0 0.0 101.36 Receptor 333 29.741 87.309 940.611 -1088.570 0.0 0.0 101.77 Receptor 334 29.743 87.299 941.563 -1088.248 0.0 0.0 102.19 Receptor 335 29.745 87.289 942.515 -1087.922 0.0 0.0 102.62 Receptor 336 29.747 87.279 943.460 -1087.578 0.0 0.0 103.08 Receptor 337 29.749 87.268 944.419 -1087.300 0.0 0.0 103.48 Receptor 338 29.749 87.258 945.418 -1087.183 0.0 0.0 103.74 Receptor 339 29.749 87.248 946.414 -1087.050 0.0 0.0 104.02 Receptor 340 29.750 87.237 947.408 -1086.899 0.0 0.0 104.33 Receptor 341 29.750 87.227 948.399 -1086.730 0.0 0.0 104.66 Receptor 342 29.751 87.217 949.389 -1086.553 0.0 0.0 105.01 Receptor 343 29.751 87.206 950.377 -1086.368 0.0 0.0 105.38 Receptor 344 29.752 87.196 951.363 -1086.171 0.0 0.0 105.76 Receptor 345 29.753 87.186 952.348 -1085.970 0.0 0.0 106.16 Receptor 346 29.754 87.176 953.329 -1085.750 0.0 0.0 106.59 Receptor 347 29.755 87.165 954.307 -1085.517 0.0 0.0 107.03 Receptor 348 29.756 87.155 955.287 -1085.289 0.0 0.0 107.47 Receptor 349 29.757 87.145 956.261 -1085.042 0.0 0.0 107.94 Receptor 350 29.759 87.135 957.235 -1084.794 0.0 0.0 108.42 Receptor 351 29.760 87.124 958.208 -1084.538 0.0 0.0 108.92 Receptor 352 29.761 87.114 959.177 -1084.273 0.0 0.0 109.42 Receptor 353 29.763 87.104 960.150 -1084.014 0.0 0.0 109.94 Receptor 354 29.764 87.094 961.122 -1083.759 0.0 0.0 110.45 Receptor 355 29.765 87.083 962.097 -1083.512 0.0 0.0 110.96 Receptor 356 29.767 87.073 963.066 -1083.247 0.0 0.0 111.50 Receptor 357 29.768 87.063 964.032 -1082.964 0.0 0.0 112.05 Receptor 358 29.770 87.053 964.992 -1082.669 0.0 0.0 112.63 Receptor 359 29.772 87.043 965.950 -1082.361 0.0 0.0 113.22 Receptor 360 29.774 87.033 966.901 -1082.034 0.0 0.0 113.83

Anadarko Petroleum Corporation Air quality Modeling Analysis 15 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 361 29.776 87.023 967.853 -1081.713 0.0 0.0 114.44 Receptor 362 29.778 87.012 968.812 -1081.410 0.0 0.0 115.05 Receptor 363 29.779 87.002 969.767 -1081.094 0.0 0.0 115.67 Receptor 364 29.781 86.992 970.717 -1080.766 0.0 0.0 116.30 Receptor 365 29.783 86.982 971.670 -1080.444 0.0 0.0 116.94 Receptor 366 29.785 86.972 972.623 -1080.122 0.0 0.0 117.58 Receptor 367 29.787 86.962 973.572 -1079.788 0.0 0.0 118.24 Receptor 368 29.789 86.952 974.526 -1079.471 0.0 0.0 118.88 Receptor 369 29.791 86.942 975.484 -1079.167 0.0 0.0 119.52 Receptor 370 29.793 86.932 976.438 -1078.850 0.0 0.0 120.18 Receptor 371 29.794 86.921 977.396 -1078.545 0.0 0.0 120.83 Receptor 372 29.796 86.911 978.350 -1078.227 0.0 0.0 121.50 Receptor 373 29.798 86.901 979.306 -1077.916 0.0 0.0 122.17 Receptor 374 29.800 86.891 980.267 -1077.623 0.0 0.0 122.82 Receptor 375 29.802 86.881 981.227 -1077.323 0.0 0.0 123.49 Receptor 376 29.803 86.871 982.183 -1077.011 0.0 0.0 124.17 Receptor 377 29.805 86.861 983.135 -1076.689 0.0 0.0 124.86 Receptor 378 29.807 86.850 984.093 -1076.384 0.0 0.0 125.55 Receptor 379 29.809 86.840 985.053 -1076.083 0.0 0.0 126.23 Receptor 380 29.811 86.830 986.007 -1075.765 0.0 0.0 126.94 Receptor 381 29.813 86.820 986.959 -1075.442 0.0 0.0 127.65 Receptor 382 29.814 86.810 987.923 -1075.159 0.0 0.0 128.33 Receptor 383 29.816 86.800 988.886 -1074.871 0.0 0.0 129.02 Receptor 384 29.817 86.789 989.853 -1074.595 0.0 0.0 129.71 Receptor 385 29.818 86.779 990.825 -1074.339 0.0 0.0 130.38 Receptor 386 29.820 86.769 991.796 -1074.079 0.0 0.0 131.07 Receptor 387 29.821 86.759 992.775 -1073.846 0.0 0.0 131.73 Receptor 388 29.822 86.748 993.752 -1073.610 0.0 0.0 132.41 Receptor 389 29.823 86.738 994.729 -1073.374 0.0 0.0 133.09 Receptor 390 29.824 86.728 995.705 -1073.135 0.0 0.0 133.77 Receptor 391 29.825 86.718 996.685 -1072.911 0.0 0.0 134.45 Receptor 392 29.826 86.707 997.662 -1072.672 0.0 0.0 135.14 Receptor 393 29.827 86.697 998.644 -1072.460 0.0 0.0 135.81 Receptor 394 29.828 86.687 999.630 -1072.266 0.0 0.0 136.48 Receptor 395 29.828 86.676 1000.623 -1072.105 0.0 0.0 137.13 Receptor 396 29.829 86.666 1001.616 -1071.955 0.0 0.0 137.77

Anadarko Petroleum Corporation Air quality Modeling Analysis 16 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 397 29.829 86.656 1002.610 -1071.802 0.0 0.0 138.41 Receptor 398 29.829 86.645 1003.608 -1071.710 0.0 0.0 139.02 Receptor 399 29.828 86.635 1004.611 -1071.716 0.0 0.0 139.54 Receptor 400 29.826 86.625 1005.609 -1071.840 0.0 0.0 139.97 Receptor 401 29.824 86.615 1006.609 -1071.941 0.0 0.0 140.43 Receptor 402 29.822 86.605 1007.612 -1072.024 0.0 0.0 140.91 Receptor 403 29.820 86.595 1008.615 -1072.086 0.0 0.0 141.41 Receptor 404 29.819 86.584 1009.619 -1072.127 0.0 0.0 141.93 Receptor 405 29.818 86.574 1010.624 -1072.147 0.0 0.0 142.48 Receptor 406 29.817 86.564 1011.630 -1072.147 0.0 0.0 143.05 Receptor 407 29.816 86.554 1012.635 -1072.127 0.0 0.0 143.64 Receptor 408 29.815 86.543 1013.639 -1072.087 0.0 0.0 144.25 Receptor 409 29.815 86.533 1014.642 -1072.026 0.0 0.0 144.88 Receptor 410 29.815 86.523 1015.644 -1071.943 0.0 0.0 145.54 Receptor 411 29.814 86.512 1016.644 -1071.840 0.0 0.0 146.21 Receptor 412 29.814 86.502 1017.642 -1071.716 0.0 0.0 146.90 Receptor 413 29.815 86.492 1018.638 -1071.582 0.0 0.0 147.60 Receptor 414 29.815 86.481 1019.631 -1071.428 0.0 0.0 148.32 Receptor 415 29.815 86.471 1020.622 -1071.255 0.0 0.0 149.06 Receptor 416 29.815 86.461 1021.616 -1071.150 0.0 0.0 149.74 Receptor 417 29.814 86.450 1022.620 -1071.199 0.0 0.0 150.32 Receptor 418 29.812 86.440 1023.624 -1071.248 0.0 0.0 150.90 Receptor 419 29.811 86.430 1024.627 -1071.322 0.0 0.0 151.47 Receptor 420 29.809 86.420 1025.629 -1071.407 0.0 0.0 152.03 Receptor 421 29.807 86.410 1026.623 -1071.559 0.0 0.0 152.53 Receptor 422 29.804 86.400 1027.609 -1071.751 0.0 0.0 153.01 Receptor 423 29.801 86.390 1028.590 -1071.970 0.0 0.0 153.47 Receptor 424 29.798 86.380 1029.572 -1072.192 0.0 0.0 153.93 Receptor 425 29.795 86.371 1030.556 -1072.397 0.0 0.0 154.41 Receptor 426 29.792 86.361 1031.545 -1072.584 0.0 0.0 154.91 Receptor 427 29.790 86.351 1032.534 -1072.766 0.0 0.0 155.42 Receptor 428 29.787 86.341 1033.515 -1072.988 0.0 0.0 155.90 Receptor 429 29.784 86.331 1034.494 -1073.215 0.0 0.0 156.38 Receptor 430 29.781 86.322 1035.476 -1073.434 0.0 0.0 156.88 Receptor 431 29.778 86.312 1036.460 -1073.640 0.0 0.0 157.39 Receptor 432 29.775 86.302 1037.442 -1073.861 0.0 0.0 157.89

Anadarko Petroleum Corporation Air quality Modeling Analysis 17 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 433 29.772 86.292 1038.422 -1074.085 0.0 0.0 158.39 Receptor 434 29.769 86.283 1039.405 -1074.301 0.0 0.0 158.91 Receptor 435 29.766 86.273 1040.387 -1074.514 0.0 0.0 159.43 Receptor 436 29.762 86.263 1041.352 -1074.800 0.0 0.0 159.89 Receptor 437 29.759 86.254 1042.321 -1075.068 0.0 0.0 160.37 Receptor 438 29.756 86.244 1043.291 -1075.336 0.0 0.0 160.86 Receptor 439 29.752 86.235 1044.261 -1075.605 0.0 0.0 161.35 Receptor 440 29.748 86.225 1045.214 -1075.925 0.0 0.0 161.80 Receptor 441 29.745 86.216 1046.171 -1076.238 0.0 0.0 162.27 Receptor 442 29.741 86.206 1047.128 -1076.548 0.0 0.0 162.73 Receptor 443 29.737 86.197 1048.089 -1076.845 0.0 0.0 163.22 Receptor 444 29.734 86.187 1049.051 -1077.139 0.0 0.0 163.71 Receptor 445 29.730 86.178 1050.000 -1077.474 0.0 0.0 164.17 Receptor 446 29.725 86.169 1050.941 -1077.831 0.0 0.0 164.62 Receptor 447 29.721 86.160 1051.875 -1078.207 0.0 0.0 165.05 Receptor 448 29.717 86.151 1052.795 -1078.615 0.0 0.0 165.45 Receptor 449 29.712 86.142 1053.711 -1079.032 0.0 0.0 165.86 Receptor 450 29.707 86.133 1054.620 -1079.467 0.0 0.0 166.24 Receptor 451 29.702 86.125 1055.517 -1079.922 0.0 0.0 166.62 Receptor 452 29.697 86.117 1056.394 -1080.410 0.0 0.0 166.96 Receptor 453 29.690 86.109 1057.190 -1081.028 0.0 0.0 167.15 Receptor 454 29.684 86.102 1057.996 -1081.634 0.0 0.0 167.37 Receptor 455 29.678 86.094 1058.812 -1082.225 0.0 0.0 167.62 Receptor 456 29.672 86.086 1059.638 -1082.802 0.0 0.0 167.88 Receptor 457 29.666 86.079 1060.474 -1083.364 0.0 0.0 168.17 Receptor 458 29.660 86.071 1061.321 -1083.911 0.0 0.0 168.49 Receptor 459 29.655 86.063 1062.176 -1084.444 0.0 0.0 168.82 Receptor 460 29.649 86.054 1063.037 -1084.966 0.0 0.0 169.17 Receptor 461 29.644 86.046 1063.907 -1085.474 0.0 0.0 169.54 Receptor 462 29.639 86.038 1064.786 -1085.967 0.0 0.0 169.93 Receptor 463 29.633 86.029 1065.674 -1086.443 0.0 0.0 170.34 Receptor 464 29.628 86.021 1066.555 -1086.932 0.0 0.0 170.75 Receptor 465 29.623 86.013 1067.433 -1087.424 0.0 0.0 171.16 Receptor 466 29.618 86.004 1068.320 -1087.900 0.0 0.0 171.59 Receptor 467 29.613 85.996 1069.217 -1088.361 0.0 0.0 172.04 Receptor 468 29.608 85.987 1070.121 -1088.805 0.0 0.0 172.51

Anadarko Petroleum Corporation Air quality Modeling Analysis 18 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 469 29.603 85.978 1071.031 -1089.237 0.0 0.0 172.99 Receptor 470 29.598 85.969 1071.943 -1089.662 0.0 0.0 173.49 Receptor 471 29.593 85.961 1072.864 -1090.070 0.0 0.0 174.01 Receptor 472 29.589 85.952 1073.789 -1090.469 0.0 0.0 174.54 Receptor 473 29.580 85.949 1074.192 -1091.391 0.0 0.0 174.35 Receptor 474 29.572 85.946 1074.583 -1092.323 0.0 0.0 174.15 Receptor 475 29.563 85.943 1074.979 -1093.252 0.0 0.0 173.96 Receptor 476 29.554 85.940 1075.390 -1094.176 0.0 0.0 173.79 Receptor 477 29.546 85.937 1075.813 -1095.093 0.0 0.0 173.64 Receptor 478 29.537 85.933 1076.248 -1096.005 0.0 0.0 173.51 Receptor 479 29.529 85.930 1076.690 -1096.914 0.0 0.0 173.40 Receptor 480 29.520 85.927 1077.141 -1097.818 0.0 0.0 173.30 Receptor 481 29.512 85.923 1077.595 -1098.721 0.0 0.0 173.20 Receptor 482 29.503 85.920 1078.038 -1099.629 0.0 0.0 173.11 Receptor 483 29.495 85.916 1078.496 -1100.529 0.0 0.0 173.03 Receptor 484 29.486 85.913 1078.967 -1101.424 0.0 0.0 172.98 Receptor 485 29.478 85.909 1079.441 -1102.316 0.0 0.0 172.93 Receptor 486 29.469 85.905 1079.926 -1103.203 0.0 0.0 172.90 Receptor 487 29.461 85.901 1080.412 -1104.089 0.0 0.0 172.88 Receptor 488 29.453 85.897 1080.910 -1104.968 0.0 0.0 172.88 Receptor 489 29.445 85.893 1081.422 -1105.839 0.0 0.0 172.90 Receptor 490 29.436 85.889 1081.946 -1106.703 0.0 0.0 172.95 Receptor 491 29.428 85.884 1082.483 -1107.559 0.0 0.0 173.01 Receptor 492 29.420 85.880 1083.033 -1108.406 0.0 0.0 173.09 Receptor 493 29.412 85.875 1083.596 -1109.245 0.0 0.0 173.20 Receptor 494 29.404 85.871 1084.164 -1110.080 0.0 0.0 173.31 Receptor 495 29.396 85.866 1084.740 -1110.911 0.0 0.0 173.45 Receptor 496 29.388 85.861 1085.325 -1111.734 0.0 0.0 173.60 Receptor 497 29.380 85.856 1085.920 -1112.550 0.0 0.0 173.76 Receptor 498 29.372 85.851 1086.528 -1113.357 0.0 0.0 173.95 Receptor 499 29.365 85.845 1087.148 -1114.154 0.0 0.0 174.16 Receptor 500 29.357 85.840 1087.778 -1114.944 0.0 0.0 174.39 Receptor 501 29.349 85.834 1088.418 -1115.726 0.0 0.0 174.63 Receptor 502 29.342 85.829 1089.065 -1116.501 0.0 0.0 174.89 Receptor 503 29.334 85.823 1089.711 -1117.277 0.0 0.0 175.16 Receptor 504 29.327 85.818 1090.363 -1118.049 0.0 0.0 175.43

Anadarko Petroleum Corporation Air quality Modeling Analysis 19 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 505 29.319 85.812 1091.027 -1118.810 0.0 0.0 175.73 Receptor 506 29.312 85.806 1091.703 -1119.560 0.0 0.0 176.05 Receptor 507 29.305 85.800 1092.392 -1120.299 0.0 0.0 176.39 Receptor 508 29.297 85.794 1093.092 -1121.027 0.0 0.0 176.75 Receptor 509 29.290 85.787 1093.804 -1121.742 0.0 0.0 177.13 Receptor 510 29.283 85.781 1094.523 -1122.452 0.0 0.0 177.52 Receptor 511 29.276 85.774 1095.249 -1123.153 0.0 0.0 177.93 Receptor 512 29.269 85.768 1095.984 -1123.845 0.0 0.0 178.35 Receptor 513 29.262 85.761 1096.728 -1124.528 0.0 0.0 178.79 Receptor 514 29.256 85.754 1097.485 -1125.196 0.0 0.0 179.26 Receptor 515 29.249 85.747 1098.253 -1125.851 0.0 0.0 179.74 Receptor 516 29.242 85.740 1099.029 -1126.496 0.0 0.0 180.24 Receptor 517 29.236 85.733 1099.816 -1127.129 0.0 0.0 180.75 Receptor 518 29.230 85.726 1100.612 -1127.748 0.0 0.0 181.29 Receptor 519 29.223 85.718 1101.419 -1128.354 0.0 0.0 181.84 Receptor 520 29.217 85.711 1102.238 -1128.944 0.0 0.0 182.41 Receptor 521 29.211 85.703 1103.064 -1129.524 0.0 0.0 183.00 Receptor 522 29.205 85.695 1103.899 -1130.089 0.0 0.0 183.61 Receptor 523 29.199 85.688 1104.745 -1130.640 0.0 0.0 184.23 Receptor 524 29.194 85.680 1105.600 -1131.175 0.0 0.0 184.87 Receptor 525 29.188 85.671 1106.465 -1131.694 0.0 0.0 185.52 Receptor 526 29.183 85.663 1107.338 -1132.199 0.0 0.0 186.20 Receptor 527 29.177 85.655 1108.221 -1132.687 0.0 0.0 186.89 Receptor 528 29.172 85.646 1109.112 -1133.159 0.0 0.0 187.59 Receptor 529 29.167 85.638 1110.011 -1133.616 0.0 0.0 188.31 Receptor 530 29.162 85.629 1110.918 -1134.056 0.0 0.0 189.05 Receptor 531 29.158 85.621 1111.833 -1134.479 0.0 0.0 189.80 Receptor 532 29.153 85.612 1112.757 -1134.885 0.0 0.0 190.57 Receptor 533 29.148 85.603 1113.687 -1135.275 0.0 0.0 191.34 Receptor 534 29.144 85.594 1114.623 -1135.647 0.0 0.0 192.14 Receptor 535 29.140 85.585 1115.567 -1136.001 0.0 0.0 192.94 Receptor 536 29.136 85.576 1116.517 -1136.338 0.0 0.0 193.76 Receptor 537 29.132 85.566 1117.473 -1136.656 0.0 0.0 194.60 Receptor 538 29.128 85.557 1118.436 -1136.956 0.0 0.0 195.44 Receptor 539 29.125 85.547 1119.403 -1137.237 0.0 0.0 196.30 Receptor 540 29.121 85.538 1120.376 -1137.500 0.0 0.0 197.16

Anadarko Petroleum Corporation Air quality Modeling Analysis 20 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 541 29.118 85.528 1121.354 -1137.745 0.0 0.0 198.04 Receptor 542 29.115 85.519 1122.336 -1137.970 0.0 0.0 198.93 Receptor 543 29.112 85.509 1123.322 -1138.175 0.0 0.0 199.83 Receptor 544 29.109 85.499 1124.312 -1138.360 0.0 0.0 200.74 Receptor 545 29.107 85.489 1125.306 -1138.525 0.0 0.0 201.66 Receptor 546 29.104 85.479 1126.302 -1138.671 0.0 0.0 202.58 Receptor 547 29.102 85.470 1127.302 -1138.798 0.0 0.0 203.52 Receptor 548 29.100 85.460 1128.303 -1138.906 0.0 0.0 204.46 Receptor 549 29.098 85.449 1129.307 -1138.992 0.0 0.0 205.41 Receptor 550 29.096 85.439 1130.312 -1139.059 0.0 0.0 206.37 Receptor 551 29.095 85.429 1131.318 -1139.105 0.0 0.0 207.34 Receptor 552 29.093 85.419 1132.325 -1139.131 0.0 0.0 208.31 Receptor 553 29.092 85.409 1133.332 -1139.136 0.0 0.0 209.28 Receptor 554 29.091 85.399 1134.339 -1139.122 0.0 0.0 210.26 Receptor 555 29.090 85.389 1135.345 -1139.088 0.0 0.0 211.25 Receptor 556 29.090 85.378 1136.351 -1139.033 0.0 0.0 212.24 Receptor 557 29.089 85.368 1137.354 -1138.958 0.0 0.0 213.23 Receptor 558 29.089 85.358 1138.357 -1138.862 0.0 0.0 214.23 Receptor 559 29.089 85.347 1139.358 -1138.746 0.0 0.0 215.23 Receptor 560 29.089 85.337 1140.355 -1138.608 0.0 0.0 216.23 Receptor 561 29.088 85.327 1141.327 -1138.641 0.0 0.0 217.16 Receptor 562 29.083 85.319 1142.252 -1139.039 0.0 0.0 217.97 Receptor 563 29.079 85.310 1143.187 -1139.420 0.0 0.0 218.79 Receptor 564 29.074 85.301 1144.127 -1139.783 0.0 0.0 219.62 Receptor 565 29.070 85.291 1145.074 -1140.128 0.0 0.0 220.47 Receptor 566 29.066 85.282 1146.027 -1140.456 0.0 0.0 221.32 Receptor 567 29.062 85.273 1146.987 -1140.765 0.0 0.0 222.19 Receptor 568 29.059 85.264 1147.951 -1141.056 0.0 0.0 223.07 Receptor 569 29.055 85.254 1148.922 -1141.328 0.0 0.0 223.95 Receptor 570 29.052 85.245 1149.898 -1141.580 0.0 0.0 224.85 Receptor 571 29.049 85.235 1150.878 -1141.813 0.0 0.0 225.76 Receptor 572 29.046 85.225 1151.862 -1142.028 0.0 0.0 226.68 Receptor 573 29.043 85.216 1152.851 -1142.223 0.0 0.0 227.60 Receptor 574 29.040 85.206 1153.843 -1142.400 0.0 0.0 228.54 Receptor 575 29.037 85.196 1154.838 -1142.555 0.0 0.0 229.48 Receptor 576 29.035 85.186 1155.836 -1142.692 0.0 0.0 230.43

Anadarko Petroleum Corporation Air quality Modeling Analysis 21 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 577 29.033 85.176 1156.837 -1142.809 0.0 0.0 231.38 Receptor 578 29.031 85.166 1157.840 -1142.905 0.0 0.0 232.35 Receptor 579 29.029 85.156 1158.844 -1142.980 0.0 0.0 233.31 Receptor 580 29.027 85.146 1159.850 -1143.036 0.0 0.0 234.29 Receptor 581 29.026 85.136 1160.856 -1143.075 0.0 0.0 235.27 Receptor 582 29.024 85.126 1161.863 -1143.101 0.0 0.0 236.25 Receptor 583 29.023 85.116 1162.870 -1143.106 0.0 0.0 237.23 Receptor 584 29.022 85.105 1163.877 -1143.091 0.0 0.0 238.22 Receptor 585 29.021 85.095 1164.883 -1143.057 0.0 0.0 239.22 Receptor 586 29.021 85.085 1165.889 -1143.002 0.0 0.0 240.22 Receptor 587 29.020 85.075 1166.893 -1142.927 0.0 0.0 241.21 Receptor 588 29.020 85.064 1167.896 -1142.831 0.0 0.0 242.22 Receptor 589 29.020 85.054 1168.897 -1142.715 0.0 0.0 243.22 Receptor 590 29.020 85.044 1169.895 -1142.582 0.0 0.0 244.23 Receptor 591 29.020 85.034 1170.890 -1142.428 0.0 0.0 245.23 Receptor 592 29.020 85.023 1171.883 -1142.257 0.0 0.0 246.24 Receptor 593 29.021 85.013 1172.871 -1142.066 0.0 0.0 247.25 Receptor 594 29.021 85.003 1173.856 -1141.855 0.0 0.0 248.25 Receptor 595 29.022 84.993 1174.836 -1141.625 0.0 0.0 249.26 Receptor 596 29.023 84.982 1175.812 -1141.376 0.0 0.0 250.27 Receptor 597 29.025 84.972 1176.783 -1141.109 0.0 0.0 251.27 Receptor 598 29.026 84.962 1177.748 -1140.820 0.0 0.0 252.27 Receptor 599 29.028 84.952 1178.707 -1140.512 0.0 0.0 253.27 Receptor 600 29.029 84.942 1179.659 -1140.186 0.0 0.0 254.27 Receptor 601 29.031 84.932 1180.606 -1139.841 0.0 0.0 255.27 Receptor 602 29.033 84.922 1181.545 -1139.477 0.0 0.0 256.26 Receptor 603 29.036 84.912 1182.484 -1139.113 0.0 0.0 257.25 Receptor 604 29.038 84.902 1183.418 -1138.736 0.0 0.0 258.24 Receptor 605 29.040 84.892 1184.345 -1138.341 0.0 0.0 259.23 Receptor 606 29.043 84.882 1185.265 -1137.931 0.0 0.0 260.21 Receptor 607 29.045 84.873 1186.175 -1137.499 0.0 0.0 261.19 Receptor 608 29.048 84.863 1187.087 -1137.072 0.0 0.0 262.17 Receptor 609 29.051 84.853 1188.002 -1136.650 0.0 0.0 263.15 Receptor 610 29.053 84.843 1188.914 -1136.221 0.0 0.0 264.13 Receptor 611 29.056 84.833 1189.821 -1135.784 0.0 0.0 265.11 Receptor 612 29.059 84.824 1190.720 -1135.330 0.0 0.0 266.08

Anadarko Petroleum Corporation Air quality Modeling Analysis 22 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 613 29.062 84.814 1191.611 -1134.860 0.0 0.0 267.05 Receptor 614 29.065 84.804 1192.504 -1134.395 0.0 0.0 268.02 Receptor 615 29.068 84.795 1193.412 -1133.958 0.0 0.0 269.00 Receptor 616 29.071 84.785 1194.311 -1133.503 0.0 0.0 269.97 Receptor 617 29.074 84.775 1195.201 -1133.031 0.0 0.0 270.94 Receptor 618 29.077 84.766 1196.081 -1132.542 0.0 0.0 271.90 Receptor 619 29.081 84.756 1196.954 -1132.037 0.0 0.0 272.86 Receptor 620 29.084 84.747 1197.816 -1131.516 0.0 0.0 273.81 Receptor 621 29.088 84.737 1198.668 -1130.979 0.0 0.0 274.76 Receptor 622 29.092 84.728 1199.510 -1130.425 0.0 0.0 275.70 Receptor 623 29.096 84.719 1200.340 -1129.855 0.0 0.0 276.64 Receptor 624 29.100 84.710 1201.161 -1129.270 0.0 0.0 277.57 Receptor 625 29.105 84.701 1201.970 -1128.669 0.0 0.0 278.49 Receptor 626 29.109 84.692 1202.768 -1128.053 0.0 0.0 279.40 Receptor 627 29.114 84.683 1203.554 -1127.422 0.0 0.0 280.31 Receptor 628 29.118 84.674 1204.328 -1126.776 0.0 0.0 281.21 Receptor 629 29.123 84.666 1205.098 -1126.125 0.0 0.0 282.10 Receptor 630 29.128 84.657 1205.873 -1125.481 0.0 0.0 283.00 Receptor 631 29.133 84.648 1206.641 -1124.828 0.0 0.0 283.90 Receptor 632 29.136 84.639 1207.502 -1124.314 0.0 0.0 284.86 Receptor 633 29.140 84.629 1208.387 -1123.833 0.0 0.0 285.83 Receptor 634 29.143 84.620 1209.264 -1123.337 0.0 0.0 286.80 Receptor 635 29.146 84.610 1210.141 -1122.843 0.0 0.0 287.76 Receptor 636 29.149 84.601 1211.016 -1122.344 0.0 0.0 288.73 Receptor 637 29.153 84.591 1211.881 -1121.828 0.0 0.0 289.69 Receptor 638 29.157 84.582 1212.735 -1121.294 0.0 0.0 290.65 Receptor 639 29.161 84.573 1213.579 -1120.745 0.0 0.0 291.60 Receptor 640 29.164 84.563 1214.414 -1120.181 0.0 0.0 292.54 Receptor 641 29.169 84.554 1215.239 -1119.603 0.0 0.0 293.48 Receptor 642 29.173 84.545 1216.054 -1119.009 0.0 0.0 294.42 Receptor 643 29.177 84.536 1216.860 -1118.405 0.0 0.0 295.34 Receptor 644 29.182 84.527 1217.657 -1117.789 0.0 0.0 296.27 Receptor 645 29.186 84.518 1218.460 -1117.181 0.0 0.0 297.19 Receptor 646 29.191 84.509 1219.256 -1116.563 0.0 0.0 298.12 Receptor 647 29.195 84.500 1220.041 -1115.932 0.0 0.0 299.03 Receptor 648 29.200 84.492 1220.818 -1115.289 0.0 0.0 299.94

Anadarko Petroleum Corporation Air quality Modeling Analysis 23 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 649 29.205 84.483 1221.583 -1114.634 0.0 0.0 300.85 Receptor 650 29.210 84.474 1222.336 -1113.964 0.0 0.0 301.75 Receptor 651 29.215 84.466 1223.076 -1113.281 0.0 0.0 302.63 Receptor 652 29.220 84.458 1223.805 -1112.584 0.0 0.0 303.52 Receptor 653 29.225 84.449 1224.521 -1111.874 0.0 0.0 304.39 Receptor 654 29.231 84.441 1225.224 -1111.152 0.0 0.0 305.25 Receptor 655 29.237 84.433 1225.918 -1110.420 0.0 0.0 306.11 Receptor 656 29.242 84.425 1226.600 -1109.678 0.0 0.0 306.97 Receptor 657 29.248 84.417 1227.272 -1108.927 0.0 0.0 307.81 Receptor 658 29.254 84.410 1227.932 -1108.164 0.0 0.0 308.65 Receptor 659 29.260 84.402 1228.578 -1107.390 0.0 0.0 309.48 Receptor 660 29.266 84.395 1229.211 -1106.605 0.0 0.0 310.30 Receptor 661 29.272 84.386 1229.921 -1105.906 0.0 0.0 311.17 Receptor 662 29.276 84.377 1230.747 -1105.330 0.0 0.0 312.12 Receptor 663 29.279 84.368 1231.587 -1104.775 0.0 0.0 313.08 Receptor 664 29.283 84.359 1232.436 -1104.234 0.0 0.0 314.04 Receptor 665 29.287 84.349 1233.274 -1103.676 0.0 0.0 315.00 Receptor 666 29.291 84.340 1234.102 -1103.102 0.0 0.0 315.95 Receptor 667 29.295 84.331 1234.919 -1102.513 0.0 0.0 316.90 Receptor 668 29.300 84.322 1235.724 -1101.909 0.0 0.0 317.84 Receptor 669 29.304 84.313 1236.517 -1101.289 0.0 0.0 318.78 Receptor 670 29.309 84.304 1237.300 -1100.654 0.0 0.0 319.70 Receptor 671 29.314 84.295 1238.069 -1100.004 0.0 0.0 320.62 Receptor 672 29.318 84.287 1238.827 -1099.341 0.0 0.0 321.54 Receptor 673 29.324 84.278 1239.573 -1098.663 0.0 0.0 322.45 Receptor 674 29.329 84.270 1240.305 -1097.972 0.0 0.0 323.34 Receptor 675 29.334 84.262 1241.026 -1097.268 0.0 0.0 324.23 Receptor 676 29.337 84.252 1241.924 -1096.858 0.0 0.0 325.21 Receptor 677 29.338 84.242 1242.872 -1096.522 0.0 0.0 326.22 Receptor 678 29.340 84.232 1243.814 -1096.168 0.0 0.0 327.22 Receptor 679 29.342 84.222 1244.748 -1095.794 0.0 0.0 328.22 Receptor 680 29.345 84.212 1245.674 -1095.403 0.0 0.0 329.22 Receptor 681 29.347 84.202 1246.593 -1094.992 0.0 0.0 330.22 Receptor 682 29.350 84.192 1247.503 -1094.563 0.0 0.0 331.22 Receptor 683 29.353 84.182 1248.404 -1094.115 0.0 0.0 332.21 Receptor 684 29.356 84.173 1249.296 -1093.651 0.0 0.0 333.20

Anadarko Petroleum Corporation Air quality Modeling Analysis 24 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 685 29.359 84.163 1250.180 -1093.170 0.0 0.0 334.18 Receptor 686 29.362 84.153 1251.054 -1092.670 0.0 0.0 335.16 Receptor 687 29.366 84.144 1251.918 -1092.154 0.0 0.0 336.14 Receptor 688 29.369 84.134 1252.772 -1091.622 0.0 0.0 337.11 Receptor 689 29.373 84.125 1253.615 -1091.073 0.0 0.0 338.08 Receptor 690 29.377 84.116 1254.448 -1090.508 0.0 0.0 339.04 Receptor 691 29.381 84.107 1255.270 -1089.926 0.0 0.0 339.99 Receptor 692 29.385 84.098 1256.080 -1089.329 0.0 0.0 340.94 Receptor 693 29.390 84.089 1256.879 -1088.717 0.0 0.0 341.89 Receptor 694 29.394 84.080 1257.667 -1088.090 0.0 0.0 342.83 Receptor 695 29.399 84.071 1258.443 -1087.448 0.0 0.0 343.76 Receptor 696 29.404 84.062 1259.206 -1086.792 0.0 0.0 344.68 Receptor 697 29.409 84.054 1259.958 -1086.123 0.0 0.0 345.60 Receptor 698 29.414 84.045 1260.697 -1085.439 0.0 0.0 346.51 Receptor 699 29.409 84.039 1261.366 -1085.892 0.0 0.0 347.01 Receptor 700 29.401 84.034 1262.025 -1086.656 0.0 0.0 347.41 Receptor 701 29.394 84.028 1262.693 -1087.411 0.0 0.0 347.83 Receptor 702 29.386 84.022 1263.372 -1088.158 0.0 0.0 348.26 Receptor 703 29.379 84.016 1264.062 -1088.894 0.0 0.0 348.71 Receptor 704 29.372 84.010 1264.764 -1089.619 0.0 0.0 349.17 Receptor 705 29.365 84.004 1265.477 -1090.332 0.0 0.0 349.65 Receptor 706 29.357 83.998 1266.203 -1091.032 0.0 0.0 350.15 Receptor 707 29.350 83.991 1266.940 -1091.721 0.0 0.0 350.66 Receptor 708 29.343 83.985 1267.688 -1092.397 0.0 0.0 351.19 Receptor 709 29.337 83.978 1268.446 -1093.063 0.0 0.0 351.73 Receptor 710 29.330 83.971 1269.217 -1093.713 0.0 0.0 352.30 Receptor 711 29.323 83.964 1269.998 -1094.351 0.0 0.0 352.88 Receptor 712 29.317 83.957 1270.789 -1094.976 0.0 0.0 353.47 Receptor 713 29.310 83.950 1271.590 -1095.588 0.0 0.0 354.08 Receptor 714 29.304 83.942 1272.403 -1096.184 0.0 0.0 354.70 Receptor 715 29.297 83.937 1273.076 -1096.898 0.0 0.0 355.17 Receptor 716 29.288 83.933 1273.542 -1097.794 0.0 0.0 355.38 Receptor 717 29.280 83.930 1274.023 -1098.683 0.0 0.0 355.62 Receptor 718 29.272 83.926 1274.516 -1099.564 0.0 0.0 355.87 Receptor 719 29.263 83.922 1275.024 -1100.438 0.0 0.0 356.14 Receptor 720 29.255 83.918 1275.543 -1101.304 0.0 0.0 356.43

Anadarko Petroleum Corporation Air quality Modeling Analysis 25 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 721 29.247 83.914 1276.077 -1102.161 0.0 0.0 356.73 Receptor 722 29.238 83.910 1276.623 -1103.011 0.0 0.0 357.06 Receptor 723 29.230 83.905 1277.181 -1103.853 0.0 0.0 357.39 Receptor 724 29.222 83.901 1277.751 -1104.687 0.0 0.0 357.75 Receptor 725 29.214 83.896 1278.334 -1105.511 0.0 0.0 358.12 Receptor 726 29.206 83.891 1278.931 -1106.326 0.0 0.0 358.51 Receptor 727 29.198 83.886 1279.540 -1107.131 0.0 0.0 358.91 Receptor 728 29.190 83.881 1280.161 -1107.927 0.0 0.0 359.34 Receptor 729 29.183 83.876 1280.796 -1108.712 0.0 0.0 359.78 Receptor 730 29.175 83.870 1281.443 -1109.488 0.0 0.0 360.23 Receptor 731 29.167 83.865 1282.100 -1110.254 0.0 0.0 360.70 Receptor 732 29.160 83.859 1282.769 -1111.010 0.0 0.0 361.19 Receptor 733 29.153 83.853 1283.452 -1111.753 0.0 0.0 361.70 Receptor 734 29.145 83.848 1284.146 -1112.486 0.0 0.0 362.22 Receptor 735 29.138 83.841 1284.852 -1113.208 0.0 0.0 362.75 Receptor 736 29.131 83.835 1285.569 -1113.918 0.0 0.0 363.31 Receptor 737 29.124 83.829 1286.298 -1114.616 0.0 0.0 363.87 Receptor 738 29.117 83.822 1287.039 -1115.302 0.0 0.0 364.46 Receptor 739 29.110 83.816 1287.789 -1115.975 0.0 0.0 365.06 Receptor 740 29.103 83.809 1288.551 -1116.637 0.0 0.0 365.67 Receptor 741 29.096 83.802 1289.325 -1117.285 0.0 0.0 366.30 Receptor 742 29.090 83.795 1290.109 -1117.920 0.0 0.0 366.94 Receptor 743 29.083 83.788 1290.903 -1118.542 0.0 0.0 367.60 Receptor 744 29.077 83.781 1291.706 -1119.153 0.0 0.0 368.27 Receptor 745 29.070 83.774 1292.467 -1119.813 0.0 0.0 368.89 Receptor 746 29.063 83.768 1293.212 -1120.493 0.0 0.0 369.49 Receptor 747 29.056 83.761 1293.968 -1121.161 0.0 0.0 370.11 Receptor 748 29.049 83.754 1294.737 -1121.816 0.0 0.0 370.75 Receptor 749 29.043 83.747 1295.515 -1122.458 0.0 0.0 371.39 Receptor 750 29.036 83.740 1296.304 -1123.087 0.0 0.0 372.06 Receptor 751 29.030 83.733 1297.103 -1123.702 0.0 0.0 372.73 Receptor 752 29.023 83.726 1297.914 -1124.303 0.0 0.0 373.43 Receptor 753 29.017 83.719 1298.734 -1124.891 0.0 0.0 374.13 Receptor 754 29.011 83.711 1299.564 -1125.463 0.0 0.0 374.85 Receptor 755 29.005 83.703 1300.405 -1126.021 0.0 0.0 375.58 Receptor 756 28.999 83.696 1301.254 -1126.565 0.0 0.0 376.33

Anadarko Petroleum Corporation Air quality Modeling Analysis 26 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 757 28.993 83.688 1302.071 -1127.137 0.0 0.0 377.04 Receptor 758 28.985 83.684 1302.643 -1127.970 0.0 0.0 377.46 Receptor 759 28.977 83.679 1303.230 -1128.793 0.0 0.0 377.91 Receptor 760 28.969 83.674 1303.829 -1129.607 0.0 0.0 378.37 Receptor 761 28.961 83.669 1304.440 -1130.411 0.0 0.0 378.85 Receptor 762 28.953 83.664 1305.064 -1131.206 0.0 0.0 379.34 Receptor 763 28.945 83.659 1305.702 -1131.989 0.0 0.0 379.85 Receptor 764 28.938 83.654 1306.349 -1132.765 0.0 0.0 380.37 Receptor 765 28.930 83.649 1306.925 -1133.585 0.0 0.0 380.82 Receptor 766 28.921 83.646 1307.352 -1134.501 0.0 0.0 381.11 Receptor 767 28.912 83.643 1307.792 -1135.411 0.0 0.0 381.41 Receptor 768 28.904 83.640 1308.245 -1136.316 0.0 0.0 381.73 Receptor 769 28.895 83.636 1308.711 -1137.213 0.0 0.0 382.07 Receptor 770 28.887 83.633 1309.191 -1138.103 0.0 0.0 382.42 Receptor 771 28.878 83.629 1309.685 -1138.985 0.0 0.0 382.80 Receptor 772 28.870 83.626 1310.191 -1139.860 0.0 0.0 383.18 Receptor 773 28.862 83.622 1310.710 -1140.728 0.0 0.0 383.58 Receptor 774 28.853 83.618 1311.242 -1141.588 0.0 0.0 384.00 Receptor 775 28.845 83.613 1311.786 -1142.440 0.0 0.0 384.44 Receptor 776 28.837 83.609 1312.343 -1143.283 0.0 0.0 384.89 Receptor 777 28.829 83.604 1312.915 -1144.117 0.0 0.0 385.35 Receptor 778 28.821 83.600 1313.498 -1144.943 0.0 0.0 385.84 Receptor 779 28.813 83.595 1314.095 -1145.759 0.0 0.0 386.34 Receptor 780 28.805 83.590 1314.703 -1146.566 0.0 0.0 386.85 Receptor 781 28.797 83.585 1315.324 -1147.364 0.0 0.0 387.38 Receptor 782 28.789 83.580 1315.957 -1148.151 0.0 0.0 387.92 Receptor 783 28.782 83.575 1316.603 -1148.929 0.0 0.0 388.48 Receptor 784 28.774 83.569 1317.260 -1149.697 0.0 0.0 389.05 Receptor 785 28.767 83.564 1317.928 -1150.454 0.0 0.0 389.64 Receptor 786 28.759 83.558 1318.610 -1151.200 0.0 0.0 390.25 Receptor 787 28.752 83.552 1319.303 -1151.935 0.0 0.0 390.86 Receptor 788 28.744 83.546 1320.007 -1152.660 0.0 0.0 391.49 Receptor 789 28.737 83.540 1320.722 -1153.374 0.0 0.0 392.14 Receptor 790 28.730 83.534 1321.448 -1154.076 0.0 0.0 392.80 Receptor 791 28.723 83.527 1322.186 -1154.766 0.0 0.0 393.47 Receptor 792 28.716 83.521 1322.921 -1155.458 0.0 0.0 394.14

Anadarko Petroleum Corporation Air quality Modeling Analysis 27 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 793 28.709 83.515 1323.643 -1156.165 0.0 0.0 394.80 Receptor 794 28.702 83.508 1324.377 -1156.859 0.0 0.0 395.47 Receptor 795 28.695 83.502 1325.122 -1157.542 0.0 0.0 396.16 Receptor 796 28.688 83.495 1325.878 -1158.211 0.0 0.0 396.86 Receptor 797 28.681 83.489 1326.646 -1158.868 0.0 0.0 397.57 Receptor 798 28.674 83.482 1327.425 -1159.511 0.0 0.0 398.30 Receptor 799 28.668 83.475 1328.214 -1160.141 0.0 0.0 399.04 Receptor 800 28.661 83.468 1329.013 -1160.759 0.0 0.0 399.79 Receptor 801 28.655 83.461 1329.822 -1161.363 0.0 0.0 400.55 Receptor 802 28.649 83.453 1330.642 -1161.951 0.0 0.0 401.33 Receptor 803 28.642 83.446 1331.472 -1162.527 0.0 0.0 402.12 Receptor 804 28.636 83.438 1332.311 -1163.087 0.0 0.0 402.92 Receptor 805 28.631 83.430 1333.160 -1163.634 0.0 0.0 403.73 Receptor 806 28.625 83.423 1334.018 -1164.164 0.0 0.0 404.55 Receptor 807 28.619 83.415 1334.886 -1164.680 0.0 0.0 405.39 Receptor 808 28.613 83.407 1335.763 -1165.180 0.0 0.0 406.23 Receptor 809 28.608 83.399 1336.648 -1165.665 0.0 0.0 407.09 Receptor 810 28.603 83.390 1337.542 -1166.133 0.0 0.0 407.95 Receptor 811 28.598 83.382 1338.444 -1166.585 0.0 0.0 408.83 Receptor 812 28.592 83.373 1339.354 -1167.021 0.0 0.0 409.71 Receptor 813 28.301 83.418 1339.907 -1200.071 0.0 0.0 409.76 Receptor 814 28.310 83.416 1339.914 -1199.057 0.0 0.0 409.74 Receptor 815 28.292 83.419 1339.917 -1201.084 0.0 0.0 409.79 Receptor 816 28.319 83.415 1339.932 -1198.044 0.0 0.0 409.74 Receptor 817 28.283 83.421 1339.941 -1202.097 0.0 0.0 409.85 Receptor 818 28.328 83.413 1339.966 -1197.032 0.0 0.0 409.75 Receptor 819 28.274 83.422 1339.980 -1203.110 0.0 0.0 409.92 Receptor 820 28.337 83.411 1340.014 -1196.020 0.0 0.0 409.78 Receptor 821 28.265 83.423 1340.032 -1204.122 0.0 0.0 410.00 Receptor 822 28.345 83.409 1340.074 -1195.008 0.0 0.0 409.83 Receptor 823 28.256 83.424 1340.097 -1205.133 0.0 0.0 410.10 Receptor 824 28.354 83.406 1340.148 -1193.998 0.0 0.0 409.89 Receptor 825 28.247 83.424 1340.178 -1206.144 0.0 0.0 410.22 Receptor 826 28.363 83.404 1340.238 -1192.989 0.0 0.0 409.97 Receptor 827 28.588 83.365 1340.271 -1167.440 0.0 0.0 410.60 Receptor 828 28.238 83.425 1340.274 -1207.153 0.0 0.0 410.36

Anadarko Petroleum Corporation Air quality Modeling Analysis 28 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 829 28.372 83.401 1340.342 -1191.982 0.0 0.0 410.07 Receptor 830 28.229 83.425 1340.384 -1208.160 0.0 0.0 410.52 Receptor 831 28.380 83.399 1340.457 -1190.975 0.0 0.0 410.18 Receptor 832 28.220 83.426 1340.507 -1209.166 0.0 0.0 410.68 Receptor 833 28.389 83.396 1340.584 -1189.970 0.0 0.0 410.31 Receptor 834 28.211 83.426 1340.642 -1210.171 0.0 0.0 410.87 Receptor 835 28.398 83.393 1340.729 -1188.968 0.0 0.0 410.45 Receptor 836 28.202 83.426 1340.791 -1211.174 0.0 0.0 411.07 Receptor 837 28.406 83.390 1340.888 -1187.968 0.0 0.0 410.61 Receptor 838 28.193 83.426 1340.955 -1212.174 0.0 0.0 411.28 Receptor 839 28.415 83.387 1341.061 -1186.971 0.0 0.0 410.79 Receptor 840 28.184 83.425 1341.132 -1213.173 0.0 0.0 411.52 Receptor 841 28.583 83.356 1341.196 -1167.842 0.0 0.0 411.50 Receptor 842 28.423 83.383 1341.242 -1185.974 0.0 0.0 410.98 Receptor 843 28.175 83.425 1341.322 -1214.168 0.0 0.0 411.76 Receptor 844 28.432 83.380 1341.417 -1184.977 0.0 0.0 411.17 Receptor 845 28.166 83.424 1341.524 -1215.162 0.0 0.0 412.03 Receptor 846 28.440 83.377 1341.602 -1183.982 0.0 0.0 411.36 Receptor 847 28.157 83.424 1341.737 -1216.153 0.0 0.0 412.30 Receptor 848 28.449 83.373 1341.803 -1182.990 0.0 0.0 411.58 Receptor 849 28.148 83.423 1341.962 -1217.142 0.0 0.0 412.59 Receptor 850 28.457 83.369 1342.019 -1182.001 0.0 0.0 411.81 Receptor 851 28.578 83.348 1342.128 -1168.227 0.0 0.0 412.41 Receptor 852 28.139 83.422 1342.201 -1218.127 0.0 0.0 412.89 Receptor 853 28.466 83.366 1342.251 -1181.015 0.0 0.0 412.07 Receptor 854 28.130 83.421 1342.453 -1219.109 0.0 0.0 413.21 Receptor 855 28.474 83.362 1342.497 -1180.034 0.0 0.0 412.33 Receptor 856 28.121 83.420 1342.708 -1220.091 0.0 0.0 413.54 Receptor 857 28.482 83.358 1342.755 -1179.055 0.0 0.0 412.62 Receptor 858 28.112 83.419 1342.944 -1221.076 0.0 0.0 413.85 Receptor 859 28.490 83.353 1343.025 -1178.080 0.0 0.0 412.91 Receptor 860 28.103 83.419 1343.056 -1222.083 0.0 0.0 414.04 Receptor 861 28.574 83.339 1343.068 -1168.594 0.0 0.0 413.33 Receptor 862 28.094 83.420 1343.179 -1223.090 0.0 0.0 414.24 Receptor 863 28.498 83.349 1343.308 -1177.109 0.0 0.0 413.22 Receptor 864 28.085 83.420 1343.315 -1224.095 0.0 0.0 414.46

Anadarko Petroleum Corporation Air quality Modeling Analysis 29 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 865 28.076 83.420 1343.467 -1225.098 0.0 0.0 414.69 Receptor 866 28.507 83.345 1343.608 -1176.142 0.0 0.0 413.56 Receptor 867 28.067 83.420 1343.635 -1226.098 0.0 0.0 414.95 Receptor 868 28.058 83.419 1343.816 -1227.096 0.0 0.0 415.21 Receptor 869 28.515 83.340 1343.920 -1175.180 0.0 0.0 413.90 Receptor 870 28.049 83.419 1344.010 -1228.092 0.0 0.0 415.50 Receptor 871 28.569 83.330 1344.013 -1168.944 0.0 0.0 414.26 Receptor 872 28.040 83.418 1344.219 -1229.084 0.0 0.0 415.80 Receptor 873 28.523 83.335 1344.249 -1174.224 0.0 0.0 414.26 Receptor 874 28.031 83.418 1344.440 -1230.074 0.0 0.0 416.11 Receptor 875 28.531 83.330 1344.592 -1173.272 0.0 0.0 414.64 Receptor 876 28.022 83.417 1344.678 -1231.060 0.0 0.0 416.45 Receptor 877 28.013 83.416 1344.930 -1232.042 0.0 0.0 416.80 Receptor 878 28.538 83.325 1344.948 -1172.326 0.0 0.0 415.04 Receptor 879 28.565 83.321 1344.964 -1169.281 0.0 0.0 415.19 Receptor 880 28.004 83.415 1345.195 -1233.022 0.0 0.0 417.16 Receptor 881 28.546 83.320 1345.319 -1171.385 0.0 0.0 415.45 Receptor 882 27.996 83.414 1345.396 -1234.008 0.0 0.0 417.46 Receptor 883 27.987 83.416 1345.398 -1235.023 0.0 0.0 417.57 Receptor 884 27.978 83.417 1345.408 -1236.037 0.0 0.0 417.69 Receptor 885 27.969 83.418 1345.432 -1237.051 0.0 0.0 417.83 Receptor 886 27.960 83.419 1345.462 -1238.065 0.0 0.0 417.98 Receptor 887 27.951 83.421 1345.508 -1239.079 0.0 0.0 418.14 Receptor 888 27.942 83.421 1345.566 -1240.092 0.0 0.0 418.32 Receptor 889 27.933 83.422 1345.637 -1241.104 0.0 0.0 418.51 Receptor 890 28.554 83.315 1345.705 -1170.450 0.0 0.0 415.88 Receptor 891 27.924 83.423 1345.720 -1242.115 0.0 0.0 418.72 Receptor 892 27.915 83.424 1345.820 -1243.125 0.0 0.0 418.95 Receptor 893 28.561 83.312 1345.919 -1169.604 0.0 0.0 416.13 Receptor 894 27.906 83.424 1345.934 -1244.133 0.0 0.0 419.19 Receptor 895 27.897 83.424 1346.058 -1245.140 0.0 0.0 419.44 Receptor 896 27.888 83.424 1346.196 -1246.146 0.0 0.0 419.71 Receptor 897 27.879 83.424 1346.347 -1247.149 0.0 0.0 420.00 Receptor 898 27.870 83.424 1346.509 -1248.151 0.0 0.0 420.30 Receptor 899 27.861 83.424 1346.681 -1249.151 0.0 0.0 420.61 Receptor 900 27.852 83.424 1346.867 -1250.149 0.0 0.0 420.93

Anadarko Petroleum Corporation Air quality Modeling Analysis 30 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 901 27.843 83.423 1347.061 -1251.145 0.0 0.0 421.27 Receptor 902 27.834 83.423 1347.271 -1252.138 0.0 0.0 421.62 Receptor 903 27.825 83.422 1347.492 -1253.129 0.0 0.0 421.99 Receptor 904 27.816 83.421 1347.730 -1254.116 0.0 0.0 422.37 Receptor 905 27.807 83.420 1347.979 -1255.099 0.0 0.0 422.77 Receptor 906 27.798 83.419 1348.239 -1256.081 0.0 0.0 423.18 Receptor 907 27.789 83.418 1348.509 -1257.059 0.0 0.0 423.60 Receptor 908 27.780 83.416 1348.787 -1258.035 0.0 0.0 424.03 Receptor 909 27.771 83.415 1349.079 -1259.008 0.0 0.0 424.48 Receptor 910 27.762 83.413 1349.385 -1259.975 0.0 0.0 424.94 Receptor 911 27.753 83.412 1349.704 -1260.939 0.0 0.0 425.41 Receptor 912 27.744 83.410 1350.038 -1261.898 0.0 0.0 425.90 Receptor 913 27.736 83.408 1350.381 -1262.853 0.0 0.0 426.40 Receptor 914 27.727 83.406 1350.738 -1263.803 0.0 0.0 426.92 Receptor 915 27.718 83.403 1351.109 -1264.748 0.0 0.0 427.45 Receptor 916 27.709 83.401 1351.491 -1265.689 0.0 0.0 427.99 Receptor 917 27.701 83.398 1351.882 -1266.626 0.0 0.0 428.54 Receptor 918 27.692 83.396 1352.285 -1267.557 0.0 0.0 429.11 Receptor 919 27.683 83.393 1352.699 -1268.484 0.0 0.0 429.68 Receptor 920 27.675 83.390 1353.123 -1269.406 0.0 0.0 430.27 Receptor 921 27.666 83.387 1353.561 -1270.322 0.0 0.0 430.87 Receptor 922 27.657 83.384 1354.012 -1271.231 0.0 0.0 431.48 Receptor 923 27.649 83.381 1354.475 -1272.135 0.0 0.0 432.11 Receptor 924 27.640 83.378 1354.948 -1273.032 0.0 0.0 432.75 Receptor 925 27.632 83.374 1355.434 -1273.924 0.0 0.0 433.40 Receptor 926 27.623 83.371 1355.934 -1274.807 0.0 0.0 434.06 Receptor 927 27.615 83.367 1356.448 -1275.682 0.0 0.0 434.73 Receptor 928 27.607 83.363 1356.965 -1276.555 0.0 0.0 435.41 Receptor 929 27.598 83.359 1357.485 -1277.427 0.0 0.0 436.10 Receptor 930 27.590 83.355 1358.017 -1278.292 0.0 0.0 436.79 Receptor 931 27.582 83.351 1358.563 -1279.147 0.0 0.0 437.50 Receptor 932 27.574 83.347 1359.123 -1279.994 0.0 0.0 438.22 Receptor 933 27.566 83.342 1359.695 -1280.832 0.0 0.0 438.96 Receptor 934 27.557 83.339 1360.185 -1281.703 0.0 0.0 439.62 Receptor 935 27.548 83.338 1360.391 -1282.698 0.0 0.0 440.03 Receptor 936 27.539 83.338 1360.612 -1283.689 0.0 0.0 440.45

Anadarko Petroleum Corporation Air quality Modeling Analysis 31 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 937 27.530 83.337 1360.846 -1284.678 0.0 0.0 440.89 Receptor 938 27.521 83.336 1361.094 -1285.663 0.0 0.0 441.35 Receptor 939 27.512 83.335 1361.355 -1286.645 0.0 0.0 441.82 Receptor 940 27.503 83.333 1361.631 -1287.623 0.0 0.0 442.30 Receptor 941 27.494 83.332 1361.917 -1288.598 0.0 0.0 442.80 Receptor 942 27.486 83.330 1362.219 -1289.568 0.0 0.0 443.31 Receptor 943 27.477 83.329 1362.531 -1290.535 0.0 0.0 443.83 Receptor 944 27.468 83.327 1362.860 -1291.496 0.0 0.0 444.37 Receptor 945 27.459 83.325 1363.201 -1292.453 0.0 0.0 444.92 Receptor 946 27.450 83.323 1363.558 -1293.404 0.0 0.0 445.49 Receptor 947 27.441 83.321 1363.927 -1294.351 0.0 0.0 446.07 Receptor 948 27.433 83.318 1364.311 -1295.291 0.0 0.0 446.66 Receptor 949 27.424 83.316 1364.706 -1296.227 0.0 0.0 447.27 Receptor 950 27.415 83.313 1365.114 -1297.158 0.0 0.0 447.89 Receptor 951 27.407 83.311 1365.534 -1298.083 0.0 0.0 448.52 Receptor 952 27.398 83.308 1365.970 -1299.001 0.0 0.0 449.16 Receptor 953 27.389 83.305 1366.419 -1299.912 0.0 0.0 449.82 Receptor 954 27.381 83.301 1366.879 -1300.817 0.0 0.0 450.49 Receptor 955 27.372 83.298 1367.353 -1301.716 0.0 0.0 451.17 Receptor 956 27.364 83.295 1367.840 -1302.608 0.0 0.0 451.87 Receptor 957 27.355 83.291 1368.341 -1303.491 0.0 0.0 452.57 Receptor 958 27.347 83.287 1368.857 -1304.367 0.0 0.0 453.29 Receptor 959 27.339 83.283 1369.379 -1305.238 0.0 0.0 454.02 Receptor 960 27.330 83.280 1369.849 -1306.139 0.0 0.0 454.70 Receptor 961 27.322 83.277 1370.331 -1307.033 0.0 0.0 455.40 Receptor 962 27.313 83.273 1370.829 -1307.919 0.0 0.0 456.11 Receptor 963 27.305 83.269 1371.338 -1308.798 0.0 0.0 456.83 Receptor 964 27.297 83.265 1371.860 -1309.670 0.0 0.0 457.56 Receptor 965 27.288 83.261 1372.394 -1310.534 0.0 0.0 458.30 Receptor 966 27.280 83.257 1372.942 -1311.389 0.0 0.0 459.05 Receptor 967 27.272 83.253 1373.503 -1312.235 0.0 0.0 459.82 Receptor 968 27.264 83.249 1374.071 -1313.078 0.0 0.0 460.59 Receptor 969 27.256 83.244 1374.648 -1313.914 0.0 0.0 461.37 Receptor 970 27.248 83.240 1375.239 -1314.740 0.0 0.0 462.16 Receptor 971 27.240 83.235 1375.843 -1315.556 0.0 0.0 462.97 Receptor 972 27.232 83.230 1376.460 -1316.364 0.0 0.0 463.78

Anadarko Petroleum Corporation Air quality Modeling Analysis 32 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 973 27.224 83.225 1377.088 -1317.161 0.0 0.0 464.60 Receptor 974 27.216 83.220 1377.728 -1317.950 0.0 0.0 465.43 Receptor 975 27.208 83.216 1378.297 -1318.788 0.0 0.0 466.21 Receptor 976 27.200 83.212 1378.817 -1319.661 0.0 0.0 466.95 Receptor 977 27.191 83.208 1379.350 -1320.526 0.0 0.0 467.71 Receptor 978 27.183 83.204 1379.899 -1321.381 0.0 0.0 468.47 Receptor 979 27.175 83.200 1380.459 -1322.229 0.0 0.0 469.25 Receptor 980 27.167 83.195 1381.031 -1323.069 0.0 0.0 470.04 Receptor 981 27.159 83.191 1381.616 -1323.900 0.0 0.0 470.83 Receptor 982 27.151 83.186 1382.214 -1324.721 0.0 0.0 471.64 Receptor 983 27.143 83.181 1382.824 -1325.534 0.0 0.0 472.46 Receptor 984 27.135 83.176 1383.446 -1326.337 0.0 0.0 473.29 Receptor 985 27.127 83.171 1384.081 -1327.130 0.0 0.0 474.12 Receptor 986 27.120 83.166 1384.729 -1327.912 0.0 0.0 474.97 Receptor 987 27.112 83.161 1385.390 -1328.684 0.0 0.0 475.83 Receptor 988 27.104 83.155 1386.062 -1329.445 0.0 0.0 476.69 Receptor 989 27.097 83.150 1386.745 -1330.196 0.0 0.0 477.57 Receptor 990 27.089 83.144 1387.442 -1330.936 0.0 0.0 478.45 Receptor 991 27.082 83.138 1388.149 -1331.664 0.0 0.0 479.34 Receptor 992 27.075 83.132 1388.868 -1332.381 0.0 0.0 480.24 Receptor 993 27.068 83.126 1389.598 -1333.087 0.0 0.0 481.15 Receptor 994 27.061 83.120 1390.341 -1333.779 0.0 0.0 482.06 Receptor 995 27.054 83.114 1391.094 -1334.461 0.0 0.0 482.98 Receptor 996 27.047 83.107 1391.857 -1335.130 0.0 0.0 483.91 Receptor 997 27.040 83.100 1392.632 -1335.786 0.0 0.0 484.85 Receptor 998 27.033 83.094 1393.417 -1336.429 0.0 0.0 485.79 Receptor 999 27.027 83.087 1394.213 -1337.058 0.0 0.0 486.74 Receptor 1000 27.019 83.081 1394.912 -1337.780 0.0 0.0 487.62 Receptor 1001 27.011 83.077 1395.479 -1338.624 0.0 0.0 488.42 Receptor 1002 27.003 83.072 1396.059 -1339.459 0.0 0.0 489.23 Receptor 1003 26.995 83.068 1396.653 -1340.284 0.0 0.0 490.05 Receptor 1004 26.987 83.063 1397.260 -1341.100 0.0 0.0 490.88 Receptor 1005 26.979 83.058 1397.878 -1341.906 0.0 0.0 491.71 Receptor 1006 26.972 83.053 1398.509 -1342.703 0.0 0.0 492.56 Receptor 1007 26.964 83.048 1399.152 -1343.490 0.0 0.0 493.42 Receptor 1008 26.956 83.043 1399.808 -1344.266 0.0 0.0 494.28

Anadarko Petroleum Corporation Air quality Modeling Analysis 33 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 1009 26.948 83.037 1400.475 -1345.032 0.0 0.0 495.15 Receptor 1010 26.941 83.032 1401.155 -1345.788 0.0 0.0 496.04 Receptor 1011 26.933 83.026 1401.846 -1346.532 0.0 0.0 496.93 Receptor 1012 26.926 83.020 1402.549 -1347.266 0.0 0.0 497.83 Receptor 1013 26.919 83.015 1403.265 -1347.987 0.0 0.0 498.73 Receptor 1014 26.912 83.008 1403.992 -1348.697 0.0 0.0 499.65 Receptor 1015 26.904 83.003 1404.698 -1349.420 0.0 0.0 500.55 Receptor 1016 26.896 82.999 1405.187 -1350.312 0.0 0.0 501.30 Receptor 1017 26.887 82.996 1405.691 -1351.195 0.0 0.0 502.06 Receptor 1018 26.879 82.992 1406.208 -1352.072 0.0 0.0 502.83 Receptor 1019 26.871 82.988 1406.737 -1352.940 0.0 0.0 503.61 Receptor 1020 26.863 82.984 1407.277 -1353.802 0.0 0.0 504.40 Receptor 1021 26.854 82.980 1407.833 -1354.654 0.0 0.0 505.20 Receptor 1022 26.846 82.976 1408.331 -1355.541 0.0 0.0 505.96 Receptor 1023 26.837 82.973 1408.834 -1356.425 0.0 0.0 506.73 Receptor 1024 26.829 82.969 1409.347 -1357.303 0.0 0.0 507.50 Receptor 1025 26.821 82.965 1409.874 -1358.174 0.0 0.0 508.29 Receptor 1026 26.813 82.961 1410.413 -1359.037 0.0 0.0 509.08 Receptor 1027 26.804 82.957 1410.966 -1359.890 0.0 0.0 509.89 Receptor 1028 26.796 82.953 1411.532 -1360.736 0.0 0.0 510.70 Receptor 1029 26.788 82.949 1412.112 -1361.572 0.0 0.0 511.53 Receptor 1030 26.780 82.944 1412.703 -1362.399 0.0 0.0 512.37 Receptor 1031 26.772 82.939 1413.307 -1363.218 0.0 0.0 513.21 Receptor 1032 26.764 82.935 1413.921 -1364.029 0.0 0.0 514.06 Receptor 1033 26.756 82.930 1414.546 -1364.830 0.0 0.0 514.92 Receptor 1034 26.748 82.925 1415.181 -1365.625 0.0 0.0 515.79 Receptor 1035 26.741 82.920 1415.826 -1366.411 0.0 0.0 516.67 Receptor 1036 26.733 82.914 1416.484 -1367.187 0.0 0.0 517.55 Receptor 1037 26.725 82.909 1417.124 -1367.976 0.0 0.0 518.42 Receptor 1038 26.717 82.905 1417.698 -1368.815 0.0 0.0 519.25 Receptor 1039 26.709 82.900 1418.283 -1369.648 0.0 0.0 520.09 Receptor 1040 26.701 82.896 1418.878 -1370.473 0.0 0.0 520.93 Receptor 1041 26.693 82.891 1419.486 -1371.289 0.0 0.0 521.78 Receptor 1042 26.685 82.886 1420.101 -1372.099 0.0 0.0 522.64 Receptor 1043 26.677 82.882 1420.726 -1372.902 0.0 0.0 523.51 Receptor 1044 26.669 82.877 1421.364 -1373.694 0.0 0.0 524.38

Anadarko Petroleum Corporation Air quality Modeling Analysis 34 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Receptor Id. Latitude (deg) (North) 1 Longitude (deg)

(West) 1 LCC Coordinates

X (km) LCC Coordinates

Y (km) Elevation 1

(meters) Height

(meters) Distance from the

Drillship (km) 

### Class II Modeling Receptor placed 25- miles from nearest State Seaward Boundary- Receptor Information 

### Anadarko Petroleum Corporation

Receptor 1045 26.662 82.871 1422.015 -1374.476 0.0 0.0 525.27 Receptor 1046 26.654 82.866 1422.679 -1375.246 0.0 0.0 526.16

1 Lat/ Long coordinates for receptors were obtained from EPA Region IV. Based on Personal Communication, E-mail from Mr. Stan Krivo (EPA Region IV) and Mr. Rahul Pendse (Trinity) on October 1, 2012. The elevation was set to zero since these receptors will be above water.

Anadarko Petroleum Corporation Air quality Modeling Analysis 35 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Class II Receptor 8/24/2013Emissions Speciation Percentage (% of Total PM10) Actual Emissions (Max. lb/hr) Reference

Total PM10 (TPM10) 100% 27.00 1 Condensable portion of TPM10 (CPM) 13.4% 3.63 2 Organic portion of CPM (SOA) 13.4% 3.63 3 Inorganic portion of CPM 0.0% 0.00 3 Filterable portion of TPM10 (FPM10) 86.6% 23.37 2 Coarse Filterable (PMC) 3.0% 0.80 4 Fine Filterable (PMF) 83.6% 22.57 2 Elemental Carbon (EC) 0.0% 0.00 5

5. Elemental Carbon has been assumed to be 0% due to lack of representative data or emission factors. 3. No representative data or emission factors were available for determining inorganic (SO 4 and NO 3 ) condensable emissions. Per AP-42, Table 3.4-1 Gaseous Emission Factors for Large Stationary Diesel and All Stationary DualFuel Engines , footnote d, all sulfur in the fuel is assumed to be converted to SO 2 . Therefore, inorganic condensable emissions from the MODU were assumed to be zero. Based on guidance provided in Procedure for Speciation of Emissions for VISTAS BART Modeling, July 18, 2006, 100% of non-H 2 SO4 condensable mass was assumed to be organic condensables (SOA). 4. The percentage of Coarse filterable (PMC) in TPM10 was calculated as the difference between the percentages of FPM10 and Fine Filterable (PMF). 

### Drillship Particulate Emissions Speciation Anadarko Petroleum Corporation

1. Total PM10 (TPM10) emissions from the MODU was calculated as the sum total of TPM10 emissions from all emission sources, which primarily comprise of diesel-fired engines. TPM10 emissions for the individual emission sources were calculated as the sum of filterable PM10 (FPM10) emissions and condensable particulate emissions (CPM). 2. AP-42, Table 3.4-2 Particulate and Particle-sizing Emission Factors for Large Uncontrolled Stationary Diesel Engines was used to speciate TPM10 into FPM10 and CPM. Filterable particulate < 3 um was used as a surrogate for PMF/ Filterable PM2.5.

Anadarko Petroleum Corporation Air quality Modeling Analysis 36 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - DS PM Speciation 8/24/2013Emissions Speciation Percentage (% of Total PM10) Actual Emissions (Max. lb/hr) Reference

Total PM10 (TPM10) 100% 3.00 1 Condensable portion of TPM10 (CPM) 13.4% 0.40 2 Organic portion of CPM (SOA) 13.4% 0.40 3 Inorganic portion of CPM 0.0% 0.00 3 Filterable portion of TPM10 (FPM10) 86.6% 2.60 2 Coarse Filterable (PMC) 3.0% 0.09 4 Fine Filterable (PMF) 83.6% 2.51 2 Elemental Carbon (EC) 0.0% 0.00 5

5. Elemental Carbon has been assumed to be 0% due to lack of representative data or emission factors. 3. No representative data or emission factors were available for determining inorganic (SO 4 and NO 3 ) condensable emissions. Per AP-42, Table 3.4-1 Gaseous Emission Factors for Large Stationary Diesel and All Stationary DualFuel Engines , footnote d, all sulfur in the fuel is assumed to be converted to SO 2 . Therefore, inorganic condensable emissions from the MODU were assumed to be zero. Based on guidance provided in Procedure for Speciation of Emissions for VISTAS BART Modeling, July 18, 2006, 100% of non-H 2 SO4 condensable mass was assumed to be organic condensables (SOA). 4. The percentage of Coarse filterable (PMC) in TPM10 was calculated as the difference between the percentages of FPM10 and Fine Filterable (PMF). 

### Supp O\%RDW Particulate Emissions Speciation Anadarko Petroleum Corporation

1. Total PM10 (TPM10) emissions from the MODU was calculated as the sum total of TPM10 emissions from all emission sources, which primarily comprise of diesel-fired engines. TPM10 emissions for the individual emission sources were calculated as the sum of filterable PM10 (FPM10) emissions and condensable particulate emissions (CPM). 2. AP-42, Table 3.4-2 Particulate and Particle-sizing Emission Factors for Large Uncontrolled Stationary Diesel Engines was used to speciate TPM10 into FPM10 and CPM. Filterable particulate < 3 um was used as a surrogate for PMF/ Filterable PM2.5.

Anadarko Petroleum Corporation Air quality Modeling Analysis 37 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - SV PM Speciation 8/24/2013Species Dry Deposition Phase (Gas/ Particle) 1 Wet Deposition

Modeled? (Yes/ No) 2 Geometric Mass Mean Diameter 3 (microns) Geometric Standard

Deviation 3 (microns)

SO 2 Gas Yes N/A N/A SO 4 Particle Yes 0.48 2.0 NO x Gas No N/A N/A HNO 3 Gas Yes N/A N/A NO 3 Particle Yes 0.48 2.0 SOA Particle Yes 0.48 2.0 PMC Particle Yes 6.5 0.0 PMF Particle Yes 1.75 0.0 

### Anadarko Petroleum Corporation Deposition Analysis - Input Parameters

2 Both wet and dry fluxes have been estimated for all pollutant species except NOx, in accordance with the FLAG Phase I revised report. Both dry and wet deposition were disabled for NOx and PM10 Increment Modeling.

3 The average particle diameter for each speciated particulate (PM) category has been taken as the geometric mass mean diameter for that category. Geometric standard deviation has been assumed to be zero for all PM categories. Default CALPUFF values have been used for SOA, SO 4 , and NO 3 particles. 1 Gas phase deposition has been analyzed for SO 2 , NO x , and HNO 3 , and particle phase deposition for SO 4 , NO 3 , and PM categories, in accordance with the U.S. Forest Service – Air Quality Program, National Park Service – Air Resources Division, U.S. Fish and Wildlife Service – Air Quality Branch, Phase I Report of the Federal Land Managers’ Air Quality Related Values Workgroup (FLAG), October 2010. (FLAG Phase I Revised).

Anadarko Petroleum Corporation Air quality Modeling Analysis 39 of 39 Ana_EPA It_A - Class II Modeling Inputs v1 - Deposition 8/24/2013Anadarko Petroleum Corporat ion Trinity Consultants 

## APPENDIX E: MODEL FILES ON DVDAnadarko Petroleum Corporation Trinity Consultants 

## LIST OF FLM CLASS I AQRV MODELING FILES ON DVD

– DRILLING OPERATIONS

The DVD included with this appendix contains all of the input and output data files used to generate the results from the FLM Class I AQRV analysis presented in this report. The following section provides a description of the contents of each folder included in the attached DVD.

Breton NWR Files

1. CALPUFF Input and Output Files B01ITA.cpi

– Input file for year 2001. b01ita .c pl

– Output file for year 2001. B02ITa.cpi

– Input file for year 2002. b02ita .c pl

– Output file for year 2002.

 03  .cpi

– Input file for year 2003. b03ita .c pl

– Output file for year 2003.



### 2. POSTUTIL Input and Output Files b01NSa.inp

– Input file for 2001 to combine wet and dry fluxes for N and S deposition. b01nsa.lst

– Output file for 2001 to combine wet and dry fluxes for N and S deposition. b02NSa.inp

– Input file for 2002 to combine wet and dry fluxes for N and S deposition. b02 ns a.lst

– Output file for 2002 to combine wet and dry fluxes for N and S deposition. b03NSa.inp

– Input file for 2003 to combine wet and dry fluxes for N and S deposition. b03 ns a.lst

– Output file for 2003 to combine wet and dry fluxes for N and S deposition. b01alma.inp

– Input file for 2001 to perform Ammonia Limiting method (ALM) b01alma.lst

– Output file for 2001 to perform Ammonia Limiting method (ALM) b0 2alma.inp

– Input file for 2002 to perform Ammonia Limiting method (ALM) b0 2alma.lst

– Output file for 2002 to perform Ammonia Limiting method (ALM) b0 3alma.inp

– Input file for 2003 to perform Ammonia Limiting method (ALM) b0 3alma.lst

– Output file for 2003 to perform Ammonia Limiting method (ALM)



### 3. &$ LPOST Input and Output Files B01Na.inp

– Input file for 2001 to calculate nitrogen deposition. B01NA.lst

– Output file for 2001 to calculate nitrogen deposition. B02Na.inp

– Input file for 2002 to calculate nitrogen deposition. B02NA.lst

– Output file for 2002 to calculate nitrogen deposition. B03Na.inp

– Input file for 2003 to calculate nitrogen deposition. B03NA.lst

– Output file for 2003 to calculate nitrogen deposition. B01Sa.inp

– Input file for 2001 to calculate sulfur deposition. B01SA.lst

– Output file for 2001 to calculate sulfur deposition. B02Sa.inp

– Input file for 2002 to calculate sulfur deposition. B02SA.lst

– Output file for 2002 to calculate sulfur deposition. B03Sa.inp

– Input file for 2003 to calculate sulfur deposition.Anadarko Petroleum Corporation Trinity Consultants 

### B03SA.lst

– Output file for 2003 to calculate sulfur deposition. B01V8A.inp

– Input file for 2001 to calculate Method 8 visibility. B01V8A.lst

– Output file for 2001 to calculate Method 8 visibility. B02V8A.inp

– Input file for 2002 to calculate Method 8 visibility. B02V8A.lst

– Output file for 2002 to calculate Method 8 visibility. B03V8a.inp

– Input file for 2003 to calculate Method 8 visibility. B03V8A.lst

– Output file for 2003 to calculate Method 8 visibility.



### St. Marks NWR and Bradwell bay Wilderness Files

1. CALPUFF Input and Output Files STBB01A.cpi

– Input file for year 2001. stbb01a .c pl

– Output file for year 2001. SMBB02A.cpi

– Input file for year 2002. smbb02a.cpl

– Output file for year 2002. SMBB03A.cpi

– Input file for year 2003. smbb03a .c pl

– Output file for year 2003.



### 2. POSTUTIL Input and Output Files SB01NSa.inp

– Input file for 2001 to combine wet and dry fluxes for N and S deposition. sb01nsa.lst

– Output file for 2001 to combine wet and dry fluxes for N and S deposition. SB02NSa.inp

– Input file for 2002 to combine wet and dry fluxes for N and S deposition. sb02nsa.lst

– Output file for 2002 to combine wet and dry fluxes for N and S deposition. SB03NSa.inp

– Input file for 2003 to combine wet and dry fluxes for N and S deposition. sb03nsa.lst

– Output file for 2003 to combine wet and dry fluxes for N and S deposition.



### 3. CALPOST Input and Output Files SB01Na.inp

– Input file for 2001 to calculate nitrogen deposition. SB01NA.lst

– Output file for 2001 to calculate nitrogen deposition. SB02Na.inp

– Input file for 2002 to calculate nitrogen deposition. SB02NA.lst

– Output file for 2002 to calculate nitrogen deposition. SB03Na.inp

– Input file for 2003 to calculate nitrogen deposition. SB03NA.lst

– Output file for 2003 to calculate nitrogen deposition. SB01Sa.inp

– Input file for 2001 to calculate sulfur deposition. SB01SA.lst

– Output file for 2001 to calculate sulfur deposition. SB02Sa.inp

– Input file for 2002 to calculate sulfur deposition. SB02SA.lst

– Output file for 2002 to calculate sulfur deposition. SB03Sa.inp

– Input file for 2003 to calculate sulfur deposition. SB03SA.lst

– Output file for 2003 to calculate sulfur deposition. SB01V8a.inp

– Input file for 2001 to calculate Method 8 visibilit y. SB01V8A.lst

– Output file for 2001 to calculate Method 8 visibility. SB02V8a.inp

– Input file for 2002 to calculate Method 8 visibility. SB02V8A.lst

– Output file for 2002 to calculate Method 8 visibility. SB03V8a.inp

– Input file for 2003 to calculate Method 8 visibility. SB03V8A.lst

– Output file for 2003 to calculate Method 8 visibility.Anadarko Petroleum Corporation Trinity Consultants



### OZONE Files

ozone_2001_sum156.dat

– Hourly ozone data for 2001 from station SUM156. ozone_2002_sum156.dat

– Hourly ozone data for 2002 from station SUM156. ozone_2003_sum156.dat

– Hourly ozone data for 2003 from station SUM156.Anadarko Petroleum Corporation Trinity Consultants



## LIST OF CLASS I PSD INCREMENT MODELING FILES ON DVD

– DRILLING OPERATIONS The DVD included with this appendix contains all of the input and output data files used to generate the results from the Class I PSD Increment analysis presented in this report. The following section provides a description of the contents of each folder included in the attached DVD.



### Breton NWR Files

1. CALPUFF Input and Output Files B01ITA.cpi

– Input file for year 2001. b01ita .c pl

– Output file for year 2001. B02ITa.cpi

– Input file for year 2002. b02ita.cpl

– Output file for year 2002. B03ITA.cpi

– Input file for year 2003. b03ita .c p 

– Output file for year 2003.



### 2. POSTU TIL Input and Output Files B01pm10a.inp

– Input file for 2001 to combine speciated PM components into PM 10 

### . b01pm10a.lst

– Output file for 2001 to combine speciated PM components into PM 10 

### . b02pm10a.inp

– Input file for 2002 to combine speciated PM components into PM 10 

### . b02pm10a.lst

– Output file for 2002 to combine speciated PM components into PM 10 

### . b03pma.inp

– Input file for 2003 to combine speciated PM components into PM 10 

### . b03pma.lst

– Output file for 2003 to combine speciated PM components into PM 10 

### . B01alma.inp

– Input file for 2001 to repartition nitrate mass using ALM method. B01alma.lst

– Output file for 2001 to repartition nitrate mass using ALM method. b02alma.inp

– Input file for 2002 to repartition nitrate mass using ALM method. b02alma.lst

– Output file for 2002 to repartition ni trate mass using ALM method. b03alma.inp

– Input file for 2003 to repartition nitrate mass using ALM method. b0 3alma.lst

– Output file for 2003 to repartition nitrate mass using ALM method.



### 3. CALPOST Input and Output File B01PMa.inp

– Input file for 2001 to calculate PM 10 

### concentration. B01PM10A.lst

– Output file for 2001 to calculate PM 10 

### concentration. B02PM10a.inp

– Input file for 2002 to calculate PM 10 

### concentration. B02PM10A.lst

– Output file for 2002 to calculate PM 10 

### concentration. B03PM10a.inp

– Input file for 2003 to calculate PM 10 

### concentration. B03PM10A.lst

– Output file for 2003 to calculate PM 10 

### concentration. B01PMFa.inp -

– Input file for 2001 to calculate PMF concentration. B01PMFA.lst - Output file for 2001 to calculate PMF concentration. B01PMCa.inp -

– Input file for 2001 to calculate PMC concentration. B01PMCA.lst

– Output file for 2001 to calculate PMC concentration. B02PMFa.inp

– Input file for 2002 to calculate PMF concentration. B02PMFA.lst

– Output file for 2002 to calculate PMF concentration. B0 2PMCa.inp -

– Input file for 2002 to calculate PMC concentration. B02PMCA.lst

– Output file for 2002 to calculate PMC concentration.Anadarko Petroleum Corporation Trinity Consultants 

### B03PMFA.inp

– Input file for 2003 to calculate PMF concentration. B03PMFA.lst

– Output file for 2003 to calculate PM 2.5 

### concentration. B0 3PMCA.inp -

– Input file for 2003 to calculate PMC concentration. B03PMCA.lst

– Output file for 2003 to calculate PMC concentration B01NOa.inp

– Input file for 2001 to calculate NO 2 

### concentration. B01NO2A.lst

– Output file for 2001 to calculate NO 2 

### concentration. B02NOa.inp

– Input file for 2002 to calculate NO 2 

### concentration. B02NO2A.lst

– Output file for 2002 to calculate NO 2 

### concentration. B03NOa.inp

– Input file for 2003 to calculate NO 2 

### concentration. B03NOA.lst

– Output file for 2003 to calculate NO 2 

### concentration.



### St. Marks NWR and Bradwell bay Wilderness Files

1. CALPUFF Input and Output Files SMBB01A.cpi

– Input file for year 2001. smbb01a .c pl

– Output file for year 2001. SMBB02A.cpi

– Input file for year 2002. smbb02a.c pl

– Output file for year 2002. SMBB03A.cpi

– Input file for year 2003. smbb03a .c pl

– Output file for year 2003.



### 2. POSTUTIL Input and Output Files SB01pma.inp

– Input file for 2001 to combine speciated PM components into PM 10 

### . sb01pma.lst

– Output file for 2001 to combine speciated PM components into PM 10 

### . SB02pma.inp

– Input file for 2002 to combine speciated PM components into PM 10 

### . sb02pma.lst

– Output file for 2002 to combine speciated PM components into PM 10 

### . SB03PMainp

– Input file for 2003 to combine speciated PM components into PM 10 

### . sb03pma.lst

– Output file for 2003 to combine speciated PM components into PM 10 

### . SB01alma.inp

– Input file for 2001 to repartition nitrate mass using ALM method. sb01alma.lst

– Output file for 2001 to repartition nitrate mass using ALM method. SB02alma.inp

– Input file for 2002 to repartition nitrate mass using ALM method. sb02alma.lst

– Output file for 2002 to repartition nitrate mass using ALM method. SB03alma.inp

– Input file for 2003 to repartition nitrate mass using ALM method. sb03alma.lst

– Output file for 2003 to repartition nitrate mass using ALM method.



### 3. CALPOST Input and Output Files SB01PMa.inp

– Input file for 2001 to calculate PM 10 

### concentration. SB01PMA.lst

– Output file for 2001 to calculate PM 10 

### concentration. SB02PMa.inp

– Input file for 2002 to calculate PM 10 

### concentration. SB02PMA.lst

– Output file for 2002 to calculate PM 10 

### concentration. SB03PMa.inp

– Input file for 2003 to calculate PM 10 

### concentration. SB03PMA.lst

– Output file for 2003 to calculate PM 10 

### concentration. SB01PMFa.inp

– Input file for 2001 to calculate PMF concentration. SB01PMFA.lst

– Output file for 2001 to calculate PM 2.5 

### concentration. SB02PMFa.inp

– Input file for 2002 to calculate PMF concentration. SB02PMFA.lst

– Ou tput file for 2002 to calculate PMF concentration. SB03PMFa.inp

– Input file for 2003 to calculate PMF concentration.Anadarko Petroleum Corporation Trinity Consultants 

### SB03PMFA.lst

– Output file for 2003 to calculate PMF concentration. SB01PMCa.inp - Input file for 2001 to calculate PMC concentration

. SB01PMCA.lst - O ut put file for 2001 to calculate PMC concentration SB02PMCa.inp

– Input file for 2002 to calculate PMC concentration. SB02PMCA.lst

– Output file for 2002 to calculate PMC concentration. SB03PMCa.inp

– Input file for 2003 to calculate PMC concentration. SB03PMCA.lst

– Output file for 2003 to calculate PMC concentration SB01NOa.inp

– Input file for 2001 to calculate NO 2 

### concentration. SB01NO2A.lst

– Output file for 2001 to calculate NO 2 

### concentration. SB02NOa.inp

– Input file for 2002 to calculate NO 2 

### concentration. SB02NOA.lst

– Output file for 2002 to calculate NO 2 

### concentration. SB03NOa.inp

– Input file for 2003 to calculate NO 2 

### concentration. SB03NOA.lst

– Output file for 2003 to calculate NO 2 

### concentration.



### OZONE Files ozone_2001_sum156.dat - Hourly ozone data for 2001 from station SUM156. ozone_2002_sum156.dat - Hourly ozone data for 2002 from station SUM156. ozone_2003_sum156.dat - Hourly ozone data for 2003 from station SUM156.Anadarko Petroleum Corporation Trinity Consultants



## LIST OF EPA CLASS II MODELING FILES ON DV D

– DRILLING OPERATIONS The DVD included with this appendix contains all of the input and output data files used to generate the results from the Class II PSD analysis presented in this report. The following section provides a description of the contents of each folder included in the attached DVD.



### EPA Receptors Files

1. CALPUFF Input and Output Files EPA01ITA.cpi

– Input file for year 2001. epa01ita .c pl

– Output file for year 2001. E02ITA.cpi

– Input file for year 2002. e02ita.cpl

– Output file for year 2002. EPA03ITA.cpi

– Input file for year 2003.

 

### Ͳ͵  .c pl

– Output file for year 2003.



### 2. POSTU TIL Input and Output Files E01pm10a.inp

– Input file for 2001 to combine speciated PM components into PM 10 

### . e01pm10a.lst

– Output file for 2001 to combine speciated PM components into PM 10 

### . E02pm10a.inp

– Input file for 2002 to combine speciated PM components into PM 10 

### . e02pm10a.lst

– Output file for 2002 to combine speciated PM components into PM 10 

### . E03pm10a.inp

– Input file for 2003 to combine speciated PM components into PM 10 

### . e03pm10a.lst

– Output file for 2003 to combine speciated PM components into PM 10 

### . E01almA.inp

– Input file for 2001 to repartition nitrate mass using ALM method. e01alma.lst

– Output file for 2001 to repartition nitrate mass using ALM method. E02almA.inp

– Input file for 2002 to repartition nitrate mass using ALM method. e02alma.lst

– Output file for 2002 to repartition nitrate mass using ALM method. E03almA.inp

– Input file for 2003 to repartition nitrate mass using ALM method. e03alma.lst

– Output file for 2003 to repartition nitrate mass using ALM method.



### 3. CALPOST Input a nd Output File E01PM10A.inp

– Input file for 2001 to calculate PM 10 

### concentration. E01PM10A.lst

– Output file for 2001 to calculate PM 10 

### concentration. E02PM10A.inp

– Input file for 2002 to calculate PM 10 

### concentration. E02PM10A.lst

– Output file for 2002 to calculate PM 10 

### concentration. E03PM10  .inp

– Input file for 2003 to calculate PM 10 

### concentration. E03PM10A.lst

– Output file for 2003 to calculate PM 10 

### concentration. E01PMFA.inp -

– Input file for 2001 to calculate PMF concentration. E01PMFA.lst - Output file for 2001 to calculate PMF concentration. E01PMCA.inp -

– Input file for 2001 to calculate PMC concentration. E01PMCA.lst

– Output file for 2001 to calculate PMC concentration. E02PMFA.inp

– Input file for 2002 to calculate PMF concentration. E02PMFA.lst

– Output file for 2002 to calculate PMF concentration. E02PMC  .inp -

– Input file for 2002 to calculate PMC concentration. E 02 PMCA.lst

– Output file for 2002 to calculate PMC concentration. E03PMFA.inp

– Input file for 2003 to calculate PMF concentration.Anadarko Petroleum Corporat ion Trinity Consultants 

### E03PMFA.lst	–	Output	fil e	for	2003	to	calculate	PM 2.5 

### concentration. E03PMCA.inp	‐	–	Input	file	for	2003	to	calculate	PMC	concentrat ion. E03PMCA.lst	–	Output	file	for	2003	to	calculate	PMC	concentrati on E01NO2A.inp	–	Input	file	for	2001	to	calculate	NO 2 

### concentration. E01NO2A.lst	–	Output	file	for	2001	to	calculate	NO 2 

### concentration. E02NO2A.inp	–	Input	file	for	2002	to	calculate	NO 2 

### concentration. E02NO2A.lst	–	Output	file	for	2002	to	calculate	NO 2 

### concentration. E03NO2A.inp	–	Input	file	for	2003	to	calculate	NO 2 

### concentration. E03NO2A.lst	–	Output	file	for	2003	to	calculate	NO 2 

### concentration. E01COA.inp	‐	–	Input	file	for 2001	to	calculate	CO	concentratio n. E01COA.lst	‐	Output	file	for	2001 to	calculate	CO	concentration

. E02COA.inp	‐	–	Input	file	for 2002	to	calculate	CO	concentratio n. E02COA.lst	‐	Output	file	for	2002 to	calculate	CO	concentration

. E03COA.inp	‐	–	Input	file	for 2003	to	calculate	CO	concentratio n. E03COA.lst	‐	Output	file	for	2003 to	calculate	CO	concentration

.



### VISCREEN Files Ana	BHBH	–	VISCREEN	output	file. anaBh5	–	VISCREEN	file.



### OZONE Files ozone_2001_sum156.dat	‐	Hourly	oz one	data	for	2001	from	station SUM156. ozone_2002_sum156.dat	‐	Hourly	oz one	data	for	2002	from	station SUM156. ozone_2003_sum156.dat	‐	Hourly	oz one	data	for	2003	from	station SUM156.Anadarko Petroleum Corporat ion Trinity Consultants 

## APPENDIX F: Q/D ANALYSIS SUMMARYPollutantPM10 (NEI)+ SO2 (NEI)+ NOX (NEI)+ H2SO4 (NEI)PM1026.63 lb/hr116.62 tpyClass I kmSO21.79 lb/hr7.85 tpyNOX622.4 lb/hr2726.19 tpyH2SO40.01 lb/hr0.06 tpy[1] Based on maximum 24-hour emissions annualized to 8,760 hrs/yr .Class I AreaBreton NWRSt. Marks NWRBradwell Bay WildernessQ 2,851 tpyd 167 kmsQ/d 17.07 tpy/kmQ 2,851 tpyd 285 kmsQ/d 10.00 tpy/kmQ 2,851 tpyd 281 kmsQ/d 10.14 tpy/kmWhere:Approximate Distances from the worst-case location of Anadarko Lease Blocks (nearest) tosurrounding Class I AreasPM10(NEI)= net emissions increase of PM10SO2(NEI)= net emissions increase of SO2H2SO4(NEI)= net emissions increase of H2SO4Class I Area FLM Q/d Applicability - St. Marks NWRNENOx(NEI)= net emissions increase of NOx167Class I Area FLM Q/d Applicability - Bradwell Bay WildernessClass I Area FLM Q/d Applicability - Breton NWRNWLocation Relative to Class I AreaNEAnadarko Petroleum CorporationClass I Area Q/d Applicability AnalysisQ/d =Proposed Anadarko Emissions[1]285281Hourly Emissions Adjusted Annualized EmissionsDistance (kms)Anadarko Petroleum CorporationAir Quality Modeling Analysis1 of 1Q.d analysis_v1.0 - Q.D analysis8/30/2013Anadarko Petroleum Corporat ion Trinity Consultants 

## APPENDIX G: SUMMARY OF EMISSION ESTIMATES

Refer	to	Appendix:	B	of Main	Application.Anadarko Petroleum Corporat ion Trinity Consultants 

## APPENDIX H: WORST- CASE DRILLSHIP AND SUPPLY BOAT LOCATIONSourceLat, dd - Lease Block Center Lon, dd - Lease Block CenterUTM Northing(WGS84) Lease BlockCenter(Zone 16)UTM Easting(WGS84) LeaseBlock Center(Zone 16)a1 (meters) b1 (meters)Worst caseDrillshipLocation wrt.CenterWorst case Support VesselLocation wrt. Class IIReceptorUTM Northing (WGS84)for Worst case Location(Zone 16)UTM Easting(WGS84) for Worstcase Location(Zone 16)Lat, dd forWorst caseLocationLon, dd for Worstcase LocationDrillship28.83-87.503,189,396.00451,423.00 - 2,414.02 + 2,414.02 NW3,191,810.02449,008.98 28.85 -87.52Supply BoatNW447,183.783,235,073.62 29.24 -87.54SourceLat, dd - Lease Block Center Lon, dd - Lease Block CenterUTM Northing(WGS84) Lease BlockCenter(Zone 16)UTM Easting(WGS84) LeaseBlock Center(Zone 16)a1 (meters) b1 (meters)Worst caseDrillshipLocation wrt.CenterWorst case Support VesselLocationUTM Northing (WGS84)for Worst case Location(Zone 16)UTM Easting(WGS84) for Worstcase Location(Zone 16)Lat, dd forWorst caseLocationDrillship28.83-87.503,189,396.00 451,423.00 - 2,414.02 + 2,414.02 NW3,191,810.02449,008.98 29.63Supply Boatwrt Class II Receptor3,235.07447.1830.02Worst-case Source Coordinates DeterminationAnadarko Petroleum CorporationAnadarko Petroleum CorporationWorst-case Source Coordinates Determination(28deg.49mins52sec,87deg29mins52sec)1.5miles1.5milesXLeaseBlock(3milesX3miles)Worst casedrillshiplocation(wrtclosestClass1area)ClosestClass1area(Breton)b1a1Worst casesupplyboatlocation(wrtclosestreceptor)Anadarko Petroleum CorporationAir quality Modeling AnalysisPage 1 of 3Lease Block Cordinates V1.2_AP-141 Location8/30/2013SourceLat, dd - Lease Block Center Lon, dd - Lease Block CenterUTM Northing(WGS84) LeaseBlock Center(Zone 16)UTM Easting(WGS84) LeaseBlock Center(Zone 16)a1 (meters) b1 (meters)Worst caseDrillshipLocation wrt.CenterWorst caseSupply BoatLocation wrtClass IIReceptorUTM Northing (WGS84)for Worst case Location(Zone 16)UTM Easting (WGS84)for Worst case Location(Zone 16)Lat, dd forWorst caseLocationLon, dd forWorst caseLocationDrillship28.83-87.103,189,396.00 490,047.00 - 2,414.02 + 2,414.02 NE3,191,809.02492,461.0228.85 -87.08Supply BoatNE495,194.323,232,690.6029.22 -86.95SourceLat, dd - Lease Block CenterUTM Northing(WGS84) LeaseBlock Center(Zone 16)UTM Easting(WGS84) LeaseBlock Center(Zone 16)a1 (meters) b1 (meters)Worst caseDrillshipLocation wrt.CenterUTMNorthing(WGS84) forWorst caseLocation(Zone 16)Worst case Support VesselLocationUTM Easting (WGS84)for Worst case Location(Zone 16)Lat, dd forWorst caseLocationDrillship28.833,189,396.00 451,423.00 - 2,414.02 + 2,414.02 NW 3,191,810.02449,008.9829.63Supply Boatwrt Class II Receptor447.1830.02Worst-case Source Coordinates DeterminationAnadarko Petroleum CorporationAnadarko Petroleum CorporationWorst-case Source Coordinates Determination(28deg.49mins55sec,86deg6mins7sec)1.5miles1.5milesXLeaseBlock(3milesX3miles)Worst casedrillshiplocation(wrtclosestClass1area)ClosestClass1areas(St.MarksandBradwellBayWilderness)b1a1Worst casesupplyboatlocation(wrtclosestreceptor)Anadarko Petroleum CorporationAir quality Modeling AnalysisPage 2 of 3Lease Block Cordinates V1.2_AP-149 Location8/30/2013Source Lat, dd - Lease Block Center Lon, dd - Lease Block CenterUTM Northing(WGS84) LeaseBlock Center(Zone 16)UTM Easting(WGS84) LeaseBlock Center(Zone 16)a1 (meters) b1 (meters)Worst caseDrillshipLocation wrt.CenterWorst caseSupportVesselLocation wrtClass IIReceptorUTM Northing (WGS84)for Worst case Location(Zone 16)UTM Easting (WGS84)for Worst case Location(Zone 16)Lat, dd forWorst caseLocationLon, dd forWorst caseLocationDrillship28.83-87.503,189,396.00 451,423.00 - 2,414.02 + 2,414.02 NW3,191,810.02449,008.9828.85 -87.52Supply BoatNW447,183.783,235,073.6229.24 -87.54Source Lat, dd - Lease Block CenterUTM Northing(WGS84) LeaseBlock Center(Zone 16)UTM Easting(WGS84) LeaseBlock Center(Zone 16)a1 (meters) b1 (meters)Worst caseDrillshipLocation wrt.CenterUTMNorthing(WGS84) forWorst caseLocation(Zone 16)Worst case Support VesselLocationUTM Easting (WGS84)for Worst case Location(Zone 16)Lat, dd forWorst caseLocationDrillship28.833,189,396.00 451,423.00 - 2,414.02 + 2,414.02 NW 3,191,810.02449,008.9829.63Supply Boatwrt Class II Receptor447.1830.02Anadarko Petroleum CorporationWorst-case Source Coordinates DeterminationAnadarko Petroleum CorporationWorst-case Source Coordinates Determination(28deg.49mins52sec,87deg29mins52sec)1.5miles1.5milesXLeaseBlock(3milesX3miles)Worst casedrillshiplocation(wrtclosestClass2receptor)ClosestClass2Receptorb1a1Worst casesupplyboatlocation(wrtclosestreceptor)Anadarko Petroleum CorporationAir quality Modeling AnalysisPage 3 of 3Lease Block Cordinates V1.2_AP-141 Location- Class II8/30/2013