# # S # S # S # S

# S # S

# S

# S # S # S # S # S # S # S # S # S # S # S # S # S # S # S # S # S # S # S # S # S # S

# S # S # S # S # S # S # S

# S # S # S

# S # Y

# Y # Y # Y # Y

# Y



# LS20 (1276)

LS19 (1253) LS13 (1351) LS14 (1412) LS04 (1417) LS22 (1460) LS05 (1411)

LS17 (1475) LS10 (1496) LS06 (1535)

LS02 (1466) LS32 (1542) BOG 2-7 (1534)

LS26 (1470)

LS25 (1511) LS12 (1543) BOG 2-1 (1554)

BOG 6-4 (1559) LS08 (1573) LS11 (1613)

LS15 (1556) LS29 (7862) LS28 (7861) LS27 (7860) LS16 (1625) LS03 (1656)

LS23 (1550) LS09 (1557) BOG 2-2 (1561)

BOG 2-3 (1568) BOG 6-1 (1640)

LS21 (1569) BOG 6-3 (1584) BOG 2-4 (1595) BOG 4-1 (1599) BOG 2-6 (1614) BOG 2-5 (1608)

LS07 (1609) LS24 (1590)



# Lake Munson 

# ( / 319 

# S

p



# r i 

# n

g 

# h

i 

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d

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L

a k e B

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f o r d R 

## d 

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# i t 

# a

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# i r c

l e S W 

# Lake Bradford



# TALLAHASSEE

REGIONAL AIRPORT Capital Circle SW

SF04 (7831)

SF05 (7832) SF06 (7833)
SF01 (1512) SF03 (1663) SF02 (1685)

# S 

# Southwest Monitor Well Sites

N 0 0.5 1 Miles 

# 1999 Imagery (DOQQ's) 

# SOUTHWEST SPRAYFIELD AND RESIDUAL DISPOSAL AREA MONITOR WELL LOCATIONS

Residuals Area Monitor Well Sites # Y



# 01-06-025 

# FIGURE 49

# 84 Figure 50. Southwest Sprayfield Monitor Well Nitrate Concentrations (as N, mg/L). LS21 (1569)

0 1 2 3 4 5 619741976197819801982198419861988199019921994199619982000 

# LS25 (1511)

0 2 4 6 8 10 12 141975197719791981198319851987198919911993199519971999



# LS32 (1542)

0 2 4 6 8 10 12 14 161972197519781981198419871990199319961999

# 85 Figure 51. Residual Disposal Area Monitor Well NO 2 

# +NO 3 

# -N Concentrations (mg/L). SF06 (7833)

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8199219931994199519961997199819992000 

# SF05 (7832)

0 0.2 0.4 0.6 0.8

1 1.2 1.4199219931994199519961997199819992000 

# SF04 (7831)

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7199419951995199619961997199719981998199919992000 

# SF03 (1663)

0 1 2 3 4 5 6197919811983198519871989199119931995 

# SF01 (1512)

0 5 10 15 2019791981198319851987198919911993199519971999

# 86 percentage of the total WWTF flow that they represent, no attempt was made to estimate the residual nitrogen loading from facilities other than the City of Tallahassee.
Table 7. Estimated 1999 Nitrogen Loading from WWTF Residuals.
Area Residuals (kg-N/Yr) Leon Semi-confined 0

Leon Unconfined 78,000 Wakulla Unconfined 99,000

# 87 On-Site Disposal Systems
OSDS include septic tanks, cesspits and other non-sewered disposal of domestic wastewater. One of the objectives of this study was to estimate the current number of OSDS in Leon and Wakulla counties and to quantify the role of these systems in the nitrogen budget of the study area. While the City of Tallahassee is fully sewered, much of surrounding Leon County is not. Virtually none of Wakulla County is sewered, the exceptions being St. Marks, Panacea and Crawfordville. St. Marks and Panacea have been sewered since the late 1980s. Crawfordville recently made use of grant funds to sewer their main commercial/industrial area. Residential hook-ups to the Crawfordville system are made on voluntary basis.
According to U.S. Census Bureau data, the population in Leon County grew by 24 percent between 1990 and 2000, from 192,493 to 239,452 (Figure 52). During the same period, the population in Wakulla County increased by 61 percent, from 14,202 to 22,863. The 1990 Census provides the number of OSDS operating in each county but the 2000 OSDS census figures were not available in time to assist with this project. However, using population, per capita and OSDS data from 1990 and population and per capita data from 2000, an estimate of the number of OSDS in both counties in 2000 was made.
According to the 1990 Census, Leon County had 22,090 active OSDS and a household occupancy rate of 2.42 persons. Wakulla County had 5,645 OSDS and a household occupancy rate of 2.71. These numbers were multiplied together to estimate the number of persons using an OSDS in each county in 1990. In Leon County the estimated 1990 population dependent on an OSDS was 53,460. The 1990 OSDS population estimate for Wakulla County was 15,300. These estimates were then compared to the 1990 total population of each county to determine the percentage of the population reliant on an OSDS. These percentages were applied to the 2000 census population data and the results were divided by the 2000 census occupancy rates (2.34 in Leon County and 2.57 in Wakulla County). Based on this approach, during 2000 an estimated 28,417 OSDS were in use in Leon County and 8,896 were in use in Wakulla County.
In order to get the required sense of the spatial distribution of OSDS; a second estimation technique was employed. This approach was based on tax roll parcel data. It was presumed that all parcels with improvements (valued at $400 or greater) required the disposal of sewage. For Leon County, two GIS coverages were obtained from the City of Tallahassee/Leon County Geographic Information Systems department. The first was a map coverage showing both parcels with improvements (valued at $400 or greater) and parcels codes institutional. The second was a point coverage of geo-coded City of Tallahassee sewer billing addresses. The geo-coded billing addresses were intersected with the parcel coverage. All parcels with a City of Tallahassee sewer billing address were presumed not to have an OSDS. A scattering of parcels without a geo-coded billing address remained within the city limits. These were presumed to be sewered and were excluded. This process yielded a total of 27,404 parcels in Leon County that are potential OSDS sites. Of these an estimated 3,100 are known to be served by the sewer services of Talquin Electric Cooperative (TEC). TEC operates three WWTF serving Killearn Lakes, neighborhoods on the southwest side of Lake Jackson and Fallschase. Deletion of households served by TEC yields an estimate of 24,304 OSDS in Leon County (as of 1999) by the parcel-counting technique.
In Wakulla County, a different approach was required. 1999 tax data were obtained from the Florida Department of Revenue. Hardcopy plat maps were obtained from the Wakulla County Property Appraiser’s Office. In 1999 there were a total of 8,267 improved parcels in Wakulla County. Of these, only those in the study area were of interest. Using 1994 digital orthoquads88Figure 52. Population Increase in Leon and Wakulla Counties since 1900.050000100000150000200000250000300000 

# 1900
1910
1920
1930
1940
1950
1960
1970
1980
1990
2000Date 

# PopulationLeonWakulla

# 89as a base map, the locations of all improved parcels in the study area were manually georeferenced using parcel identification numbers and hardcopy plat maps. The result was point coverage of all improved parcels in the study area (6,632 parcels). Of these, 119 were served by a WWTF. The remaining 6,513 parcels were presumed to have an OSDS. The number of improved parcels outside the study area was 1,635.
Because the OSDS were given a geographic location, it was possible to disaggregate them according to whether they overlay semi-confined, unconfined or confined portions of the Floridan Aquifer (Figure 53). Leon County was divided into three areas according to the relative permeability of the sediments overlying the Floridan Aquifer. The eastern portion of the county (north of the Cody Scarp) is considered to be under conditions of semi-confinement of the Floridan Aquifer. Southeast Leon County (south of the Cody Scarp) is considered to be under unconfined conditions. Southwest Leon County is considered to be under confined conditions.Based on the delineations found in Figure 53: 17,498 OSDS in Leon County lie in the semiconfined area; 4,290 OSDS lie in the unconfined area; 2,516 OSDS lie in the confined area of the county (total of 24,304). Wakulla County was divided into either unconfined or confined areas (Figure 1). Within the study area in Wakulla County, 6,429 OSDS lie in the unconfined area and 84 lie in the confined area (total of 6,513).
Sarac et al. (2001) examined the behavior of 20 OSDS at a study site in New South Wales, Australia. Based on sampling data from six systems, they calculated annual per capita TN generation rates “at the outlet of the septic tank” averaging 4.0 kg-N/year per capita. They also cite Griffiths (1997) as giving annual TN loading rates ranging between 4.2 and 5.5 kg-N/year per capita.
Horsley and Witten (2000), citing six papers, give a range of total nitrogen concentrations in OSDS effluent of between 23 mg/L and 40 mg/L. They define “in effluent” based on samples taken “from the leaching area or from ground water immediately below the leaching area”. Based on a wastewater flow rate of 208 l/d per capita (55 gal/d per capita) and an averageeffluent total nitrogen concentration of 35 mg/L, they estimated an OSDS effluent load of 7 gmN/d per capita (2.6 kg/N/year per capita). Based on a comparison of estimated nitrogen inputs and observed ground water concentrations at six sites (containing 55 residential lots and 34 OSDS), they estimated a 45 percent to 98 percent attenuation of nitrogen contributed to their study area. Ninety-three percent of the total nitrogen load was estimated to come from the 34 OSDS in their study area.
Otis et al. (1993) give a literature-based range of TN concentrations in OSDS influent of between 35 mg/L and 100 mg/L. Based on a wastewater flow rate of 170 l/d per capita (45 gal/d per capita), these concentrations yield OSDS influent load estimates of between 6 and 17 gm-N/d per capita. These equate to annual loads ranging between 2.2 kg-N/year per capita and 6.2 kg-N/year per capita. Otis et al. cite others to observe that OSDS effluent can undergo denitrification in soils beneath the drain field that removes up to 20 percent of the effluent nitrogen. They also observe that fine-grained and/or organic rich soils facilitate denitrification.
Based on Otis et al. (1993), Katz et al. (1999) used 4.09 kg-N/year per capita to estimate nitrogen loads emanating from OSDS within the Suwannee River Basin. The midpoint of the Otis et al. range (4.2 kg-N/year per capita) is used below to estimate OSDS loads in Leon and Wakulla counties (Table 8).

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# ( / 319 

# ( / 98 

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## rLEON CO.


# WAKULLA CO.



# LIBERTY CO.

FRANKLIN CO. 

# #

Panacea W a k u



# l l 

# a 

# Woodville 

# Tallahassee

Crawfordville O

c h l o c k o n e e



# R 

# i v 

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# B A Y

A P A L A C H E E Lake Miccosukee

Lake Jackson GADSDEN CO.



# Apalachicola

National

Forest

St. Marks National Wildlife Refuge Marks

St. Havana

Midway

Sopchoppy Wakulla

Newport Quincy



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# M 

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# s R

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# LEON CO.WAKULLA CO. 

# Lake Munson

TAY LOR CO.JEFFERSON CO. 

# LOCATION OF OSDS IN SEMI-CONFINED AND UNCONFINED PORTIONS OF LEON AND WAKULLA COUNTIES



# N U.S. Highways State/County Roads
Major Lakes Rivers OSDS Locations ( X



# Incorporated Areas Public Lands Floridan Aquifer Semi-Confined Floridan Aquifer Unconfined Miles 

# 0 5 10



# FIGURE 53 01-06-026

# 91 Table 8. Estimated 1999 Nitrogen Loads from OSDS.
Area # OSDS Household occupancy Kg-N/cap/yr Kg-N/Yr Leon Semi-confined 17,498 2.34 4.2 172,000

Leon Unconfined 4,290 2.34 4.2 42,000 Wakulla Unconfined 6,429 2.57 4.2 69,000
Annual OSDS TN load estimates (Figure 45) were prepared by linearly interpolating between the 1970 census OSDS count, the 1980 census OSDS count and the 1999 OSDS parcel-based count described above. The 1970 and 1980 OSDS counts represent the number of OSDS inthe entirety of Leon and Wakulla counties whereas the 1999 OSDS number is only for the semiconfined and unconfined portions of each county. The number of persons per household was acquired from the census for years 1970, 1980, 1990 and 1999. All other years were interpolated from these. The number of OSDS multiplied by the number of persons per household yields the population utilizing OSDS. Multiplying the population times the per capita load gives the total load for each year.

# 92 Commercial Fertilizer Application
Commercial fertilizers represent a significant source of inorganic nitrogen (IN) in the study area. Department of Commerce (DoC) Census of Agriculture (CoA) census data for fertilized acres and for harvested acres show a growth of agriculture in Leon and Wakulla counties from the early 1900s to a peak in the early to mid-1980s. The United States Department of Agriculture (USDA), the DoC CoA, and the Florida Department of Agriculture and Consumer Services (DACS) maintain records of fertilizer sales and distributions within the state. USDA records, covering the period 1945 through 1973, provide annual statewide total fertilizer distributions, as nitrogen in tons. CoA data for 1964, 1969, 1974, 1978, 1982, 1987, 1992, 1997 provide fertilizer expenditures on a county-by-county and statewide basis. DACS records, from 1974 through 1999, give statewide total fertilizer distributions on a county-by-county basis. Annual TN load estimates based on these data are given in Figure 45.
With no by-county fertilizer sales data prior to 1974, countywide loads were estimated using the same method as Battaglin and Goolsby (1994). State tonnages of total N for each year were obtained from the USDA and converted to kg/yr. These data were then multiplied by the ratio of county expenditures to state expenditures. For example, in 1964 the Leon County expenditure for nitrogen fertilizer was $314,648 and the Wakulla County expenditure was $22,967. Dividing these numbers by the statewide expenditure of $84,570,575 yields county/state ratios of 3.72 X10 -3 

# for Leon County and 2.72x10 -4 

# for Wakulla County. Multiplying the USDS statewide nitrogen total (117,729,907 kg-N) by these ratios results in an approximate application of 438,073 kg-N in Leon County and 32,022 kg-N in Wakulla County in 1964. For the years 1945 to 1964, the 1964 expenditure ratios were used. From 1965 to 1973, the 1969 county/state expenditure ratios of 3.85x10 -3 

# for Leon County and 2.73x10 -4 

# for Wakulla County were used.
More recent data, from 1974 to present, are derived from reported county tonnages for different types of fertilizer, as reported by fertilizer distributors to DACS. Multi-nutrient fertilizer tonnages were multiplied by the percent nitrogen in each to estimate total N. Assumptions were required regarding the percent nitrogen in: liquid fertilizers, nitrogen solutions, and miscellaneous formulations (20 percent each); urea (46 percent); and ammonium nitrate, anhydrous ammonia and ammonium Poly-P (32 percent each) (Bill Cox, DACS, personal communication, 2000). The resulting nitrogen tonnages were subsequently converted to kg/yr.
Both the USDA and DACS numbers are reported distribution amounts from fertilizer distributors/manufacturers and are reported by fertilizer years (July 1 to June 30). The numbers do not account for fertilizer sold in one county and used in another. They assume that fertilizer distributed to a particular county is used in that county. There is also no differentiation between fertilizer used for agriculture purposes and that used for lawn, golf course, recreation area, or other purposes. It is assumed that the predominant use is agricultural in nature. However, to the extent that large, non-farm retailers purchase fertilizer through distributors reporting to DACS, these figures capture fertilizer sold for application in residential settings. It is believed that most of the fertilizer destined for residential application is included in the DACS data. DACS data for the 1992, 1994, and 1996 fertilizer years were incomplete and no values are provided for those years.
To apportion the nitrogen fertilizer application between the unconfined and semi-confined portions of the study area, GIS land-use maps were used to calculate the total area of “pasture and cropland” land use within each county. Land use data were as of 1994-1995. The totalarea in “pasture and cropland” was further disaggregated into what lies within the semiconfined, unconfined and confined portions of the two counties. Leon County had a total of

# 93 14,272 ha of “pasture and cropland”, with 13,002 ha (91 percent) lying in the semi-confined area and 1,071 ha (7.5 percent) in the unconfined area. The remainder (199 ha or 1.5 percent) lies in the confined portion of the county. The attribution of most of the county’s pasture and cultivable land to the semi-confined area is consistent with the disparity in soil suitability for agriculture between unconfined and semi-confined areas. These areal weightings were subsequently applied to the 1999 DACS countywide nitrogen application of 197,000 kg-N. This approach resulted in an estimated 179,000 kg-N having been applied to the semi-confined portion of Leon County and 15,000 kg-N in the unconfined portion of the county in 2000.
This disaggregation of commercial fertilizer use between semi-confined and unconfined underestimates the actual application to the unconfined area, as based on fertilizer application data for the SESF (provided by the City of Tallahassee). According to the “pasture and cropland” land use data available for the unconfined portion of Leon County, SESF is the only such land use. City of Tallahassee records indicate a 1999 nitrogen application of 44,000 kg-N to 691 ha at their facility. Since SESF is the only area designated “pasture and cropland” in the unconfined portion of the Leon County, the nitrogen application to SESF is assumed to represent the entirety of commercial fertilizer applied to this area (Table 9). Inherent in this approach is the assumption that there is no other significant fertilizer application in the unconfined portion of Leon County. The application to the semi-confined portion of Leon County was estimated at 150,000 kg-N. This is the result of 194,000 kg-N (98.5 percent of the countywide total) less that previously attributed to the unconfined portion of the county (44,000 kg-N).
2,294 ha (82 percent) of Wakulla County’s total 2,787 ha of “pasture and cropland” lie within the unconfined portion of the county. The estimated nitrogen application to this area was 18,000 kg-N (82 percent) of the county total 1999 application of 22,000 kg-N.

Table 9. Estimated 1999 Nitrogen (IN) Loads from Commercial Fertilizer.
Area Kg-N/Yr Leon Semi-confined 150,000

Leon Unconfined 44,000 Wakulla Unconfined 18,000

# 94 Livestock
Animal waste is a source of organic nitrogen (ON). In other areas of the state, elevated levels of nitrogen in ground water have been seen beneath concentrated animal populations such as dairies, feed lots and chicken sheds. To estimate the total nitrogen load from this source, CoA livestock population data were multiplied by the estimated nitrogen mass discharged in waste for each type of livestock. Annual total ON load estimates based on these data are given in Figure 45.
Due to the small number of livestock operations in Leon and Wakulla counties, CoA withheld data for many years to avoid disclosure of information for individual farms. The most recently available data were used to provide estimates of “current” N loads from this source. This means that, in Leon County, 1992 data were used to estimate current populations of beef cattle, 1992 data for dairy cattle, 1987 data for broiler chickens, 1997 data for layer chickens, and 1997 data for swine. In Wakulla County, 1987 data were used to estimate populations of beef cattle, 1982 data for dairy cattle, 1992 data for broiler chickens, 1992 data for layer chickens, and 1997 data for swine. Empirically, this approach probably overestimates “current” N loads from this source, given land use changes that have occurred in Leon and Wakulla counties since these population data were collected. Uncertainty in estimates based on these data is an unavoidable consequence of the limitations associated with these data.
Based on 454 kg (1,000 pounds) of each type of animal, the following daily nitrogen dischargeswere estimated (American Society of Agricultural Engineers, 1996): (1) dairy cattle—0.18 kgN/day; (2) beef cattle and broiler chickens—0.5 kg/N/day; (3) egg-laying chickens—0.38 kgN/day; (4) swine—0.24 kg-N/day. The following average animal masses, in kg, were alsoassumed: (1) dairy cattle—635 kg; (2) beef cattle—364 kg; (3) broiler chickens—0.9 kg; (4) egglaying chickens—1.4 kg; (5) swine—61 kg (American Society of Agricultural Engineers, 1996). Combining numbers of animals, average animal mass and N yield per unit animal mass, annual total N loads from this source were estimated.
Using land use mapping and GIS techniques described previously, the countywide total “pasture and cropland” acreage in each county was disaggregated into those portions lying within the semi-confined and unconfined areas. In Leon County 91 percent of “pasture and cropland” lies in the semi-confined area and 7.5 percent in the unconfined area. In Wakulla County 82 percent of the “pasture and cropland” lies in the unconfined area. In Leon County, the countywide total livestock N load was linearly apportioned to semi-confined and unconfined areas based on the above percentages (Table 10). In Wakulla County, this entire load was empirically attributed to the unconfined area.
Table 10. Estimated “Recent” Nitrogen (ON) Loads from Livestock.
Area % of County LU Pasture Land Kg-N/Yr

Leon Semi-confined 91 124,000

Leon Unconfined 7.5 10,000 Wakulla Unconfined 82 23,000

# 95 Sinking Streams
Four significant sinking streams flow into the Floridan Aquifer from the surrounding landscape. These include Munson Slough and Fisher, Black and Lost creeks. Munson Slough drains much of the southern portion of the City of Tallahassee, eventually sinking at Ames Sink. There are 13 years of continuous streamflow data for Munson Slough at Capital Circle (1987-2000), one mile north of Lake Munson. These data were collected by the NWFWMD. Fisher, Black and Lost creeks flow east through wet pine flatwoods west of the Woodville Karst Plain, eventually sinking on the plain’s western edge. Lost Creek has a short period of USGS continuous stream flow data. Fisher and Black creeks have no continuous data and only a few instantaneous data.
Nitrogen is present in these sinking surface waters, almost exclusively in organic form. Inorganic nitrogen is typically present at only very low concentrations. It is believed that the conversion of organic nitrogen to inorganic forms is relatively inefficient within the Floridan Aquifer. As a consequence, sinking streams were not considered to represent a significant loading of inorganic nitrogen to ground waters. Nonetheless, and in attempt to be complete, an effort was made to estimate the total nitrogen load from these sources using existing, limited flow and concentration data (Table 11).
Munson Slough and Ames Sink Much of the water conveyed south through Munson Slough is stormwater runoff originating from the southern portion of the City of Tallahassee. Ultimately, Munson Slough discharges to the Floridan Aquifer via Ames Sink in southern Leon County. Prior to discharging to the Floridan Aquifer, surface waters flow through Lake Munson and, further south, through Eightmile Pond. Lake Munson is about four miles north of Ames Sink. Eightmile Pond is about a mile north of the sink.

The Lake Munson Basin has an area of 17,800 ha or 68.75 mi 2 

# (Bartel et al., 1991). Of this area, only about 75 percent (13,350 ha) is thought to contribute stormwater runoff to the lake. The remainder of the basin consists of sub-basins closed in all but the most extreme hydrologic conditions. Bartel et al. (1991) state that, based on long-term hydrologic modeling, only about 12 percent of the total volume of water entering the basin leaves as surface water runoff through Eightmile Pond. The remaining 88 percent evaporates, transpires or recharges ground water as leakage through the beds of Lake Munson and Eightmile Pond.
The majority of water leaving Eightmile Pond flows into the Floridan Aquifer via Ames Sink. Assuming an effective basin area of 13,350 ha and an average rainfall depth of 63 inches, this equates to an average runoff of 29 cfs or 7.6 inches per year. The observed daily mean flow at the point where Munson Slough crosses Highway 319 (about one mile north of the lake) is 44.7 cfs (period of record 1987—2000). Considering evaporation and subsurface infiltration from the lake, the lower of these two estimations was considered more accurate and 30 cfs was used to estimate the long-term surface water inflow at this point to the Floridan Aquifer.
Nitrogen samples were collected from Munson Slough at Oak Ridge Road by the NWFWMD between 02/00 to 01/01. These data had a median total nitrogen concentration of 0.51 mg-N/L (mean=0.57, stdev=0.16, n=7). The median NH 4 

# -N concentration was 0.018 mg/L (mean=0.039, stdev=0.042). The median TKN-N concentration was 0.50 mg/L (mean=0.55, stdev=0.15). The median NO 2 

# +NO 3 

# -N concentration was 0.015 mg/L (mean=0.014, stdev=0.011). The TN median concentration was multiplied by the estimated long-term average flow of 30 cfs to yield an annual load estimate of 13,600 kg-N/yr.

# 96 Fisher Creek Fisher Creek has a basin area of about 11,084 ha (42.8 mi 2 

# ). It sinks at a sinkhole located within the Leon Sinks Geologic Area, approximately 0.7 miles due west of Crawfordville Hwy. (30 ° 18’35.115”/84 ° 21’22.783”). Through mid-2001, no continuous streamflow monitoring has been conducted on Fisher Creek. However, a limited number of instantaneous discharge measurements are available. These data were collected by the NWFWMD in the early 1980s at various locations along the lower end of the creek, at or east of the Springhill Road Bridge and by the FDEP at the Springhill Road Bridge. Flow data collection during the study period was beyond the scope of this investigation. Fisher Creek is believed to discharge to the Floridan Aquifer within the Wakulla Springs capture zone.
Fisher Creek at Springhill Road Bridge 03.04.1982 19.8 cfs Fisher Creek at Springhill Road Bridge 04.07.1982 20.7 cfs Fisher Creek at Springhill Road Bridge 05.06.1982 3.1 cfs Fisher Creek 2.7 miles east of Springhill Rd 06.10.1982 4.7 cfs Fisher Creek at Springhill Road Bridge* 03.07.1997 18.5 cfs Fisher Creek at Springhill Road Bridge* 08.04.1999 26.6 cfs Fisher Creek at Springhill Road Bridge* 02.29.2000 4.1 cfs
*Obtained from Richard Wieckowicz, FDEP, personal communication, 2001.
Nitrogen samples were collected from Fisher Creek at Springhill Road by the NWFWMD between 02/00 to 01/01. These data had a median total nitrogen concentration of 0.74 mg-N/L (mean=0.74, stdev=0.18, n=9). The median NH 4 

# -N concentration was 0.017 mg/L (mean=0.016, stdev=0.005). The median TKN-N concentration was 0.72 mg/L (mean=0.73, stdev=0.18). The median NO 2 

# +NO 3 

# -N concentration was 0.004 mg/L (mean=0.008, stdev=0.008). The median of six flow measurements at the Springhill Road Bridge is 19.2 cfs. Multiplying the estimated long-term average flow of 20 cfs by the observed median TN concentration (0.74 mg/L) resulted in a total N load estimate for Fisher Creek of 13,200 kg-N/yr.

Black Creek Black Creek has a basin area of about 3,800 ha (14.7 mi 2 

# ). It sinks at a sinkhole located approximately two miles northwest of the intersection of Crawfordville Hwy and Bloxham Cutoff (30 ° 17’15”/84 ° 22’39”). To date, no continuous flow data has been collected on Black Creek; however, a few miscellaneous measurements are available. Black Creek is believed to discharge to the Floridan Aquifer within the Wakulla Springs capture zone.

Black Creek above sink at culvert 03.03.1982 7.1 cfs Black Creek above sink at culvert 04.06.1982 14.2 cfs Black Creek near New Light Church 05.05.1982 1.9 cfs Black Creek near New Light Church 06.08.1982 0.0 cfs Black Creek at SR 267* 02.29.2000 6.5 cfs
*Obtained from Richard Wieckowicz, FDEP, personal communication, 2001.
Nitrogen samples were collected from Black Creek by the NWFWMD between 02/00 to 01/01. These data had a median total nitrogen concentration of 1.0 mg-N/L (mean=1.06, stdev=0.23, n=9). The median NH 4 

# -N concentration was 0.017 mg/L (mean=0.072, stdev=0.126). The median TKN-N concentration was 1.0 mg/L (mean=1.05, stdev=0.23). The median NO 2 

# +NO 3 

# -N concentration was 0.008 mg/L (mean=0.014, stdev=0.01). The median of the above five flow measurements is 6.5 cfs. Multiplying the estimated long-term average flow of 6.5 cfs by the

# 97 median TN concentration (1.0 mg/L) yields an estimated N load of 5,800 kg-N/yr from Black Creek.

Lost Creek Lost Creek has a basin area of about 18,130 ha (70.4 mi 2 

# ). It drains into a sinkhole located on the north side of County Road 374 (30 ° 09’57”/84 ° 23’43”). The USGS has made miscellaneous discharge measurements since 1928. Daily mean flows have been collected since October 1998. For water year 1999, the annual mean flow was 57 cfs (Franklin et al., 1999). This estimated flow may be somewhat low due to low rainfall conditions. At the Tallahassee Airport, 1998 and 1999 experienced a two-year cumulative deficit of 16.6 inches (13 percent of normal rainfall).
Water quality data for Lost Creek are extremely limited. In order to estimate the total N load in the stream, the median TN concentration from Fisher Creek was used to estimate that for Lost Creek. Multiplying the Fisher Creek concentration (0.74 mg/L) by a flow of 60 cfs resulted in an annual TN load of 39,600 kg-N/yr for Lost Creek. Lost Creek is believed to discharge to the Floridan Aquifer outside the Wakulla Springs capture zone.
From anecdotal data and observation, Floridan Aquifer inflow from the sinking streams is quite variable. These streams are often dry during periods of below normal rainfall. During and directly following periods of intense rainfall, the streams may flood and drown the sinks. The water subsides rapidly, however, and inflow returns to relatively low levels. Wakulla Springs’ reaction to high inflows from sinking streams is muted by an overall discharge increase caused by rising ground water levels associated with intense rainfall. Figure 29 shows that the conductivity of water discharging from Wakulla Springs dropped 20 percent while the velocity/discharge more than tripled following Tropical Storm Helene. If this increase in discharge had been caused by a significant influx of surface water, conductivity would have been depressed to a value nearer that of surface water.

Ammonia and NO 3 

# -N levels are typically very low in the sinking inflow from surface water bodies. Most of the total nitrogen present in sinking streams is organic in nature and is believedto be mechanically removed from the flow system. The organic N is usually bound up in largemolecule tannins and lignins. These humics are sensitive to pH and tend to flocculate when the surface water encounters more alkaline ground water. Some of the organic N sorbs readily onto colloids. Only a small percentage of the organic N associated with sinking streams is believed to be transformed, through bacterial digestion, into ammonia and made available for nitrification within the Floridan Aquifer.
As part of the study, a high-flow sampling event was conducted at Wakulla Springs. It was found that nitrate concentrations in water discharging from Wakulla Springs was slightly reduced when compared to the low-flow sampling event. This was despite (or perhaps due to) a relatively high inflow rate from sinking streams. All indications are that water entering the ground water flow system from sinking streams travels quickly and its affect on Wakulla Springs water quality is ephimeral. The transient, variable influx from these sinking streams is believed to have a minor effect on the quality of water discharging from Wakulla Springs.

# 98 Table 11. Estimated “Recent” Nitrogen Loads from Sinking Streams.
Area Surface Water Body Flow (cfs) Median Concentration (mg-N/L) Load (kg-N/yr)

Leon Semi-confined none 0 -- 0

Leon Unconfined Munson Slough 30 0.51 13,600 Wakulla Unconfined Fisher Creek 20 0.74 13,200 Wakulla Unconfined Black Creek 6.5 1.0 5,800 Wakulla Unconfined Lost Creek 60 0.74 39,600

# 99 Landfills
There are 31 active landfills in Leon and Wakulla counties. Twenty-four (24) are construction and demolition landfills and three are household garbage disposal sites (the Highway 27 landfill in Leon County and the Lower Bridge and Medart landfills in Wakulla County). There is also a waste tire disposal facility, a transfer station, a land clearing debris disposal, and an unclassified landfill (total of 31). For the 31 active landfills, there are a total of 29 ground water monitoring wells and two surface water monitoring sites. These monitoring sites are located at the three household garbage disposal sites. In addition, there are 26 ground water wells monitoring 33 inactive or closed landfills.
Forty-nine landfills, active and inactive, lie within the semi-confined and unconfined portions of the study area. Seventeen are in the semi-confined area and 32 are in the unconfined area plain. Ground water quality sampling results indicate that the landfills contribute nitrogen to ground water in the form of NH 4 

# and NO 3 

# . However, no data are available with which to estimate a total nitrogen load emanating from any of these sites. Accordingly, no effort to do so was made as a part of this investigation. At the scale of the study area, landfills are not believed to be a significant source of nitrogen in the Floridan Aquifer.

# 100 Summary

TN loads to the landscape in the semi-confined and unconfined portions of the study area under recent conditions are summarized in Table 12. The various approaches used to spatially apportion load estimates to these areas were discussed previously. Figures in this table summarize N loads contributed to the landscape (but not necessarily to the Floridan Aquifer) within the semi-confined and unconfined portions of the study area.

Table 12. Estimated 1999 Nitrogen Loading to the Study Area by Geographic Subdivision.

Source Predominant form Semi-confined (kg-N/yr) Unconfined (kg-N/yr) Total (kg-N/yr)

Atmospheric Deposition IN 479,000 523,000 1,002,000 WWTF Effluent IN 9,000 331,000 340,000 WWTF Residuals indeterminate 

# 0 177,000 177,000 OSDS IN 172,000 111,000 283,000 Commercial Fertilizer IN 150,000 62,000 212,000 Livestock ON 124,000 33,000 157,000 Sinking Streams ON 0 72,000 72,000 Total 934,000 1,309,000 2,243,000
For each loading class (excepting OSDS, sinking streams and livestock), the average annual load (1990 through 1999) was calculated (Table 13). Figure 54 includes the estimated contributions attributable to atmospheric deposition and sinking streams; Figure 55 does not. OSDS and livestock data were heavily interpolated during that period. As a result, their respective 1999 values are cited in the above table. Effluent data for the small WWTFs were not readily available for 1990 and 1991. Instead, the 1992 small WWTF value was substituted for the two missing years. Average values for atmospheric deposition, WWTF (effluent and residuals) and commercial fertilizer were calculated directly from previously described data.
Table 13. Ten-Year Average Annual Nitrogen Load to the Study Area by Geographic Subdivision.

Source Predominant form Semi-confined (kg-N/yr) Unconfined (kg-N/yr) Total (kg-N/yr)

Atmospheric Deposition IN 619,000 675,000 1,294,000 WWTF Effluent IN 8,000 363,000 371,000 WWTF Residuals indeterminate 

# 0 154,000 154,000 OSDS* IN 172,000 111,000 283,000 Commercial Fertilizer IN 211,000 104,000 315,000 Livestock* ON 124,000 33,000 157,000 Sinking Streams* ON 0 72,000 72,000 Total 1,134,000 1,512,000 2,646,000
*1999 values.

# 101 WWTF 14%

Residuals Disposal 6%

Commercial Fertilizer 12%

Livestock

6% Sinking Streams 3% Atmospheric Deposition 48% OSDS 11%



# Figure 54. Relative Contribution from Inventoried Nitrogen Sources to 1990-1999 Average N Loading in Semi-confined and Unconfined Portions of Leon and Wakulla Counties.

Figure 55. Relative Contribution from Anthropogenic Sources to 1990-1999 Average N Loading in Semi-confined and Unconfined Portions of Leon and Wakulla Counties. WWTF 29%

Residuals Disposal 12% Commercial Fertilizer 25% Livestock 12% OSDS 22%

# 102 Total nitrogen load by source from 1970 to 1999 is given in Figure 45. Open markers on the timelines represent interpolated or estimated data. Atmospheric deposition data prior to 1984 is represented by the period-of-record median. The commercial fertilizer data has several early years of data calculated from State of Florida data, as explained previously. OSDS and livestock time series involve interpolation between decadal census data. Early WWTF effluent data calculations required assumptions that lent uncertainty. Early residuals data was not available and no attempt was undertaken to estimate it. Flow and sampling data from sinking streams were not sufficient to estimate a time series.

# 103 NITROGEN FATE MODELING

One task of this project was to integrate Floridan Aquifer water budget data and information on the fate of nitrogen applied to the landscape into a simple descriptive model. Key aspects of the model are the water budget of a specified aquifer volume, the nitrogen load advected into this volume from up-gradient, and the nitrogen load that originates within the volume. The intent of the model is to anticipate how changes in the nitrogen loading to the landscape could translate into impacts on receiving surface waters. The approach is constrained by the assumptions inherent to the water budget and by an empirically derived model of the landscape’s capacity to provide denitrification. Of necessity, this capacity is reduced to a linear relationship. Further, denitrification of all anthropogenic nitrogen sources is modeled by the same linear relationship.
The model is developed for an area in relatively close proximity to Wakulla Springs. This choice removes a number of assumptions required if a larger volume of the aquifer is evaluated. The area of interest is bounded on the north by the Cody Scarp and on the east, south and west by a line that defines the downgradient limit of the Wakulla Springs “contributory zone”. This is the aquifer volume thought to contribute and/or convey ground water to the spring. Definition of the volume is based on the observed and simulated Floridan Aquifer potentiometric surfaces in near proximity to the spring. Limitations on the flow system conceptualization around the spring are discussed in the following sections.

Water Budget for Wakulla Springs
Davis (1996) describes a calibrated, steady state regional model of the Floridan Aquifer centered on Leon County. That work serves as the basis of efforts to develop a ground water budget for Wakulla Springs below the Cody Scarp. Davis’ work was regional in nature. He did not specifically attempt to develop the capability to simulate local-scale flow in the immediate vicinity of the spring. Attempting to do so here goes somewhat beyond the limits of Davis’ model. However, there presently exists no better representation of the near-vicinity Floridan Aquifer ground-water flow around the spring. Davis’ model was calibrated to October and November 1991 conditions. At this time, generally dry conditions prevailed and inflows to sinking streams were minimal (Davis, personal communication, 2001).
The program “Zonebudget” (Harbaugh, 1990) was used to estimate ground water inflows and outflows to the area around Wakulla Springs. Application of Zonebudget requires the definition of an aquifer volume of interest. The model uses the simulated cell-by-cell flow terms from the MODFLOW output file to summate inflows and outflows to the volume of interest. The volume of interest (contributory area) is outlined in Figure 56 and has an area of 38,825 ha. It consists of the Floridan Aquifer bounded by the Cody Scarp on the north, by the boundary between confined and unconfined Floridan Aquifer in Wakulla County on the west and by what was initially conceptualized as a no-flow boundary on the south and east. Wakulla Springs is located within the volume of interest. The eastern boundary was positioned on the basis of potentiometric surface maps described earlier. Key to positioning a no-flow boundary in the Floridan Aquifer west of Wakulla Springs is the assumption that the Big Dismal—Turner Sink conduit system eventually flows to Wakulla Springs and, further, that it completely captures Floridan Aquifer ground water flow in its vicinity. This volume was, accordingly, considered to constitute the Wakulla Springs ground water capture zone in the near vicinity of the spring. Obviously, the Wakulla Springs capture zone extends far to the northeast, north and northwest, beneath semi-confined Leon County and confined portions of Leon and Wakulla counties.% %% % %% % %% % %% % % % % % % % % %% % %% % %% %% % %% % % % % %% % % %% %%% % % % % % % % % % %% % % % % %% %% %% % % % % % % % % % % %

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0 51 0 Miles District Boundary

County Boundary U.S. Highways
Rivers Conduit System State/County Roads 

# Cody Scarp Semiconfined/ Unconfined Boundary 01-06-027 

# FIGURE 56

# 105 The conceptualization of the southern and eastern boundary as no-flow was overturned when Davis’ simulated two-ft contours were plotted over the volume (Figure 56). Compared to the contours of Davis, there is good agreement between his flow field and the volume boundary defined east of Wakulla Springs. The conceptualization breaks down west of the spring. Here Davis’ model shows significant flow of ground water to the south, past Wakulla Springs and toward Spring Creek. This outflow is consistent with the mapped Floridan Aquifer potentiometric surfaces given earlier. All show a hydraulic gradient to the southwest, away from a line connecting Big Dismal and Wakulla Springs. Indeed, Wakulla Springs itself imparts no perturbation to the potentiometric surface, given the data available to map it.
Likely, ground water flow on the western edge of the Woodville Karst Plain is quite convoluted. Sinking streams have provided large quantities of acidic recharge to the Floridan Aquifer forlong periods of time. This has undoubtedly enhanced the development of complex, threedimensional cavern systems along the boundary where the sinking occurs. The Big Dismal— Turner Sink conduit system may be but one of several systems along this physiographic boundary. It may be that flow in this system entirely bypasses Wakulla Springs. It is possible that the ground water capture zones for Wakulla Springs and Spring Creek overlap in this area with Wakulla capturing water from shallow portions of the Floridan Aquifer and Spring Creek drawing flow from the deeper portions (Figure 57).
Under the presumption that at least part of the water flowing through the Big Dismal—Turner Sink system discharges in Wakulla Springs, positioning a no-flow boundary west of the conduit system is reasonable. However, given the complexity of flow in such a system, the entire concept of being able to locate the two-dimensional expression of a “no-flow” boundary over a complex three-dimensional system may be of limited utility. Thus, while the volume defined earlier is not, in the strictest sense, a “capture zone”, it is deemed to be of some utility in defining the area in which land-surface activities influence the quality of water discharged from Wakulla Springs.
Davis simulated the Floridan Aquifer as consisting of two layers. With Zonebudget the layers were aggregated together into one zone and layer inflows and outflows combined. Per Davis’ model, four sources of water contribute inflow to the designated volume:

• up-gradient underflow across the Cody Scarp—201 cfs;

• direct recharge within the designated volume—178 cfs;

• leakage through the confining unit on the western edge of the volume—9 cfs;

• up-gradient underflow from beneath the confining unit in western Wakulla County—7 cfs.
Inflows equate to 395 cfs. The bulk of the inflow is derived from two sources, underflow across the Cody Scarp and recharge on the karst plain within the designated volume. Inflows are balanced by:

• outflow within the estimated contributory area to river nodes simulating Wakulla Springs— 160 cfs;

• outflow that bypasses the drain cells that represent Wakulla Springs—234 cfs.
These outflows equal the simulated inflow.
Davis conceptualized the Wakulla River as a collection of drain (river) cells extending several miles from the headspring toward the confluence of the Wakulla and St. Marks rivers. The

# 106 aggregate discharge to these cells is 356 cfs. As noted in Figure 56, some of this discharge occurs within the designated contribution area and some occurs outside. However, in aggregation, the simulated Wakulla Springs/River discharge equates to the observed calibration target of 350 cfs. Recalling the regional scale of the model, it was quite sufficient to have the discharge from the spring occur along the reach of the river, as opposed to being concentrated at the headspring. In reality, most of the discharge to the river does occur at the main spring vent.
One way to reconcile the difference between the simulated spring discharge within the contributory area (160 cfs) and the observed discharge (~350 cfs), is to assume that some water simulated as bypassing the spring on the west actually discharges through the spring. This is as opposed to it flowing further south and discharging into the gulf. This equates to assuming that some fraction of the simulated by-pass water eventually discharges from the model via drain (river) cells south of (and outside) the defined aquifer volume. In the absence of a re-calibration of Davis’ model (or development of a new model) to the local vicinity of Wakulla Springs, this question is impossible to answer.
For the present discussion, the relevant question is how much of the 200 cfs simulated as crossing the Cody Scarp actually discharges through Wakulla Springs. The most conservative approach is to assume the majority of it discharges through the spring. In this way the nitrogen it carries also discharges through the spring. To the extent this water bypasses the spring, both the water volume and nitrogen mass originating within the contributory area must increase, to balance the spring outflow. To the extent this water bypasses the spring on the west, the contributory area must rotate to the east and/or get smaller to facilitate the by-pass flow.

# 107 Nutrient Budget for Wakulla Springs
Developing a nutrient budget for a discrete volume of the Floridan Aquifer entails a number of conceptual difficulties. In addition, a number of simplifying assumptions are required. Given the assumptions and limitations associated with this effort, the budget presented here should be viewed as a first-order approximation of a highly complicated, generally poorly understood hydrodynamic system. Key processes known to be highly variable in time and/or space are (of necessity) reduced to simple approximations. In spite of this, the general framework (distribution of nitrogen sources, nitrate concentrations in ground water and ground water fluxes) is believed to be sufficiently well understood to permit construction of a simple nutrient budget for Wakulla Springs.
Inventoried nitrogen sources include predominantly inorganic sources, predominantly organic sources and mixtures of the two. The nitrogen load discharged from Wakulla Springs is predominantly inorganic, in the form of NO 3 

# . Predominantly inorganic sources include atmospheric deposition, commercial fertilizer, OSDS and WWTF effluent. Predominantly organic sources include livestock, WWTF residuals and sinking streams. In addition to being partitioned between organic and inorganic forms, nitrogen goes onto the landscape at various locations throughout the study area. Some of it goes onto the ground in places where the Floridan Aquifer is poorly confined or unconfined. In these areas it is reasonable to presume short vertical travel times for infiltrating water and relatively efficient delivery of dissolved nitrogen to the water table. In other areas, low-permeability materials that slow the vertical transit of water overburden the Floridan Aquifer.
In addition, there are a host of uptakes, transformations and sequestrations that act on mobilized N as it transits the environment. However, little is known about the relative efficiency of these processes at denitrifying various forms of mobilized N at the scale of this particular study area. Presumptively, organic N is relatively inefficiently converted to inorganic forms within the hydrosphere and, by inference, is less likely to become part of the inorganic N load being discharged from the Floridan Aquifer. Presumptively, N applied to the unconfined Floridan Aquifer is relatively more efficiently delivered further down-gradient than is N applied on the semi-confined areas. Presumptively, atmospheric deposition, with its low application rate per unit area, is more efficiently denitrified in the soil than are other sources. However, the veracity of these assumptions is difficult to assess.
Clearly, the water quality of Wakulla Springs has been adversely influenced by anthropogenic impacts. NO 3 

# concentrations have tripled since the late 1970s. Over the same period it is reasonable to assume that the N load discharged through the spring has also tripled. Further, the increase has occurred over a fairly short time period, on the order of ten years or less. These changes represent a significant impact. Key (and obvious) assumptions are that the nitrogen load discharging through the spring is the product of nitrogen additions to the landscape up-gradient of the spring and that N loadings to the landscape have increased with time.

Because NO 3 

# comprised the greatest fraction of mobilized N in the Floridan Aquifer, the nitrogen balance is expressed in terms of NO 3 

# . The budget presented here consists of the following components: (1) defining a volume of the Floridan Aquifer that contributes water to the spring, (2) estimating the mass of NO 3 

# passing into the aquifer volume from up-gradient portions of the Floridan Aquifer, (3) estimating the mass of NO 3 

# discharging from the spring (4) defining the NO 3 

# load originating within the volume as the difference between the mass discharged from the spring and that advected in from up-gradient, and (5) assuming that the NO 3 

# mass originating

# 108 within the aquifer volume is derivative of the total N mass applied to the landscape on top of the volume. Conceptual limitations and assumptions associated with this effort are outlined below.

Conceptual limitations

• Nitrogen is highly reactive in the hydrosphere.

• Wakulla Springs integrates flow system components over a wide range of time scales.

• The efficiency of de-nitrification processes acting on various anthropogenic N sources is poorly understood.

• The impact of conduit systems on ground-water flow and contaminant transport is poorly understood.

Assumptions

• Water discharging from Wakulla Springs is almost exclusively derived from the Floridan Aquifer much of the time and predominantly from the Floridan Aquifer all of the time.

• Nitrogen sources applied to the landscape in Leon and Wakulla counties are adequately characterized in both time and space.

• Lacking discrete removal efficiencies for each anthropogenic source, removal efficiencies were assumed to be uniform.

• Under steady-state conditions, the flux of Floridan Aquifer water crossing the Cody Scarp that ultimately discharges from Wakulla Springs is about 200 cfs. This is assumed to be about half the steady-state discharge from the spring.

• Within the designated area around Wakulla Springs, recharge to the Floridan Aquifer that ultimately discharges from Wakulla Springs is about 180 cfs. This is assumed to be about half the steady-state discharge from the spring.

• 0.48 mg-N/L is representative of nitrate concentrations in Floridan Aquifer water crossing the Cody Scarp, both presently and in the recent past.

• 0.89 mg-N/L is representative of nitrate concentrations in Floridan Aquifer ground waters discharging from Wakulla Springs, both presently and in the recent past.

• In the near vicinity of Wakulla Springs, nutrients reaching the water table relatively quickly transit the Floridan Aquifer and discharge to surface waters. The presence of conduit flow shortens contaminant travel times relative to a porous media conceptualization.

• The area designated around Wakulla Springs adequately characterizes that portion of the Woodville Karst plain where land use can affect the quality of water discharged from the spring.

# 109 • Underflow from beneath the confining unit on the western edge of the karst plain contributes relatively little flow or nutrients to the discharge of Wakulla Springs.

Conceptual Model of Nutrient Budget
The nutrient budgeting effort reduced to an attempt to balance (on a mass basis) the inflow of nitrate into the area defined around Wakulla Springs with the outflow from the spring. The inflow is further divided into two components; underflow from beneath the Cody Scarp and recharge occurring on the karst plain within the contributory area defined around the spring.



# C semi-confined 

# V semi-confined 

# + 

# C local 

# V local 

# = 

# C spring 

# V spring 

# In this expression C is concentration (mass/volume) and V is ground water flux (volume/time). The expression defines a steady state, instantaneous mixing model of flow and solute transport in an aquifer volume containing Wakulla Springs. In a greatly simplified manner, it approximates the flux of mass into and out of the volume of interest.
One presumptive “known” is the mass of NO 3 

# discharged from Wakulla Springs 

# (C spring 

# V spring 

# ). Based on 266 instantaneous discharge measurements made between 1907 and 1999, Wakulla Springs has a median flow of 340 cfs. For the purpose of budget development, this flow is used
as 

# V spring 

# . As the balance is steady state, use of this flow constrains the inflow ( 

# V semi-confined 

# + V local 

# ) to the same value. For comparison, Davis (1996) calibrated a steady state Floridan Aquifer discharge to the Wakulla River of 356 cfs. For the recent past (1989 to 2000) the median Wakulla Springs NO 3 

# concentration ( 

# C spring 

# ) is 0.89 mg-N/L (n=26). Combining these data (340 cfs and 0.89 mg/L) gives an estimate of the current annual NO 3 

# load ( 

# C spring 

# V spring 

# ) discharging from the spring, 270,000 kg-N/yr.
A second presumptive known is the NO 3 

# mass ( 

# C semi-confined 

# V semi-confined 

# ) flowing south of the Cody Scarp. Combining the model-simulated flow across this boundary with the estimated representative concentration yields an estimate of this mass. The median NO 3 

# concentration of 0.48 mg-N/L (n=208, mean=0.48, stdev=0.16) from the six southernmost City of Tallahassee wells in the semi-confined portion of the Floridan Aquifer is used for 

# C semi-confined 

# . Reasons why these data are considered to be broadly representative of conditions in the ground waterdischarging from beneath the semi-confining unit in Leon County include: relatively long openhole intervals; wide dispersal of wells; regular pumping at high rates; relatively time-invariant data going as far back as 20 years and relatively small variance in space.
The previously described water budget (Davis, 1996) for the area defined around the spring was 395 cfs, of which 201 cfs represents underflow from the semi-confined area and 178 cfs represents direct recharge. As V has already been constrained to 340 cfs, the model simulated underflow (201 cfs) and local recharge (178 cfs) cannot be directly applied to the balance. For the purpose of budget development and referencing Davis’ approximate 50-50 split between underflow and recharge, 340 cfs was equally divided between underflow and direct recharge. Using the NO 3 

# median concentration ( 

# C semi-confined 

# ) of 0.48 mg-N/L and 170 cfs ( 

# V semi-confined 

# ), a load ( 

# C semi-confined 

# V semi-confined 

# ) of 73,000 kg-N/yr was estimated to discharge across the Cody Scarp into the Wakulla Springs contributory area. The discrepancy ( 

# C local 

# V local 

# or 197,000 kg-N/yr) between the NO 3 

# mass originating from beneath the semi-confined area and the mass discharged at the spring vent, of necessity, means that a

# 110 significant portion of the mass discharged from the spring originates on the karst plain (Figure 56). Whereas, the recharge rate for the contributory area is estimated to be 170 cfs ( 

# V local 

# ), there is no equivalent area-wide median NO 3 

# concentration associable with this recharge. However, the combination of this mass flux and volumetric flux equates to an effective NO 3 

# recharge concentration (distributed over the entire contributory area) of 1.3 mg-N/L. In an effort to gain insight into nitrate-contributing sources, each of the seven principal nitrogen sources was spatially apportioned as being either inside the Wakulla Springs contributory area or outside it according to the following (Table 24).

• WWTF effluent is the annual average (1990-1999) N load discharged from the City of Tallahassee facilities and three small package plants located within the contributory area. The average load from these facilities is 360,000 kg-N/yr.

• Atmospheric deposition is the contributory area (38,825 ha) multiplied by the estimatedaverage (1990-1999) N deposition (wet + dry) per unit area (5.98 kg-N/yr), or 232,000 kgN/yr. The median loading rate over the same period was 5.89 kg-N/yr.

• The WWTF residuals load is the (1990-1999) average of N amounts reported by the City ofTallahassee as being spread at the airport sites within the contributory area, or 130,000 kgN/yr.

• OSDS is the estimated total number of systems presently found in the contributory area (5,600) multiplied by a loading rate of 4.2 kg-N/yr per capita multiplied by an occupancy rate of 2.4, or 56,000 kg-N/yr.

• Commercial fertilizer is based on N amounts sold in Wakulla County, as reported by DACS and actual SESF usage obtained from the City of Tallahassee. The load applied to the Wakulla County portion of the contributory area is estimated by calculating the percentage of the total countywide agricultural land area in the contributory area and multiplying that percentage by the county total average N sales for 1990-1999. The load applied to the Leon County portion of the contributory area is solely the average (1990-1999) N load applied at the SESF as reported by the farm manager. The (1990-1999) estimated average N load applied to the contributory area in both counties is 60,000 kg-N/yr.

• Sinking streams is the sum of the estimated annual load for Munson Slough at Ames Sink, and Fisher and Black creeks, or 32,600 kg-N/yr.

• Livestock is the number of each type of livestock in each county (per the Census of Agriculture) multiplied by literature based loads per animal. These amounts were then disaggregated using the percent of county pastureland within the contributory area in each county. The total for both counties is 14,000 kg-N/yr.
Within the contributory area the 1990-1999 average aggregate load from the above seven sources is about 885,000 kg-N/yr (Table 14). For the purposes of comparison, 1990-1999 median values were calculated and are also presented in this table. The percent apportionment of this load is illustrated in Figure 58.

# 111 Table 14. Ten-Year Average and Median Annual Nitrogen Loads to the Wakulla Springs Contributory Area.

Source Average N Load (kg/yr) Median N Load (kg/yr) Percent of Total

WWTF Effluent 360,000 345,000 40 Atmospheric Deposition 232,000 229,000 26 WWTF Residuals 130,000 126,000 15 OSDS 56,000 56,000 6 Commercial Fertilizer 60,000 65,000 7 Sinking Streams 33,000 33,000 4 Livestock 14,000 14,000 2 Total 885,000 868,000 100

OSDS

6%

WWTF 40%

Commercial Fertilizer 7% Livestock

2% Sinking Streams 4% Atmospheric Deposition 26%

Residuals Disposal 15%



# Figure 58. Relative Contribution from Inventoried Nitrogen Sources to 1990-1999 Average N Loading in the Wakulla Springs Contributory Area.
885,000 kg-N/yr represents the 1990-1999 average nitrogen load applied to the landscape within the contributory area. Obviously, this load is subject to de-nitrification as it reacts with the landscape and the hydrosphere. Under the presumption that the nitrogen load applied to the landscape is responsible for nitrate load applied to the underlying ground water, it is possible to estimate the nitrogen removal efficiency of the landscape and the hydrosphere.

# 112 Katz et al. (1999) conducted a study of the sources and fate of anthropogenic nitrogen in a similar hydrologic setting within the Suwannee River Water Management District. Specifically, they undertook a comparison of long-term nitrate concentrations in Floridan Aquifer ground water discharging from springs and estimated nitrogen inputs to the landscape up-gradient of the springs. Nitrogen loads identified in their study were principally derivative of agricultural fertilizers. By assuming that the entire fertilizer N load applied to the landscape was converted to nitrate and dissolved in recharge water, they estimated nitrogen removal efficiencies between the point of application and the point of discharge ranging between 50 and 66 percent. When all nitrogen sources (including atmospheric deposition) were considered, they estimated N removal efficiencies ranging between 66 and 75 percent. Under a similar set of assumptions, and assuming that both the estimated annual N landscape load and the estimated annual Wakulla Springs N discharge load are representative of the recent past, the N removal efficiency within the Wakulla Springs contributory area is approximately 78 percent.
That portion of the total Wakulla Springs N load estimated to derive from the contributory area (C local 

# V local 

# or 197,000 kg-N/yr) is assumed to originate from the N load applied to this area. Further, when estimating the removal efficiency it is assumed that local N sources have fully broken through into the spring. That is, sufficient time has elapsed for plumes derivative of these sources to reach the spring and become part of the discharged N load. Put another way, no N released from these local sources is going into storage within the Floridan Aquifer. While there is no way to prove the hypothesis regarding the in=out nature of local N loading to the Floridan Aquifer, to assume otherwise implies that N loads discharged through the spring will increase as more sources break through.
As noted above, nitrogen is applied to the contributory area in a variety of forms (DIN, DON, PIN, and PON). Depending on the form, some sources have a greater potential to impact ground waters than others do. However, little is known about source specific removals. Atmospheric deposition (DIN and PIN) appears to be subject to removals of at least 80 percent between the land surface and immediately underlying ground waters. Based on comparisons between TN in WWTF effluent and DIN in underlying ground waters, effluent is subject to at least a 50-percent removal efficiency between land surface and the water table. PON applied to the land surface is presumed to be inefficiently converted to DIN that eventually reaches ground water, but how poorly is unknown. OSDS are efficient at converting ON to DIN. They are less efficient at de-nitrifying and are relatively efficient at delivering DIN to ground water, particularly in the unconfined part of the sturdy area. The efficiency of de-nitrification within the Floridan Aquifer is virtually unknown. The 77 percent removal efficiency estimated here is an integration of all processes (conversion to DIN and de-nitrification) acting on N applied to the landscape. It appears to be consistent with both the limited information regarding local-scale, source-specific removals and with global-scale removals estimated elsewhere in similar settings.
Based on the load magnitudes involved it seems reasonable to assume that all available sources are required to account for the N load discharged from Wakulla Springs. Three individual sources (OSDS, commercial fertilizer and livestock) are collectively insufficient toaccount of the spring load, even assuming 100 percent conversion to DIN and zero denitrification. If atmospheric deposition were a principal source, DIN concentrations in Middle River Sink would be more similar to those observed in Wakulla Springs. Although the apportionment of impacts at Wakulla Springs to specific sources is beyond both the scope of this work and the limitations of existing data, there is evidence development (including WWTFs and OSDS in Leon and Wakulla counties) is having an impact on the quality of water discharged from the spring.

# 113 CONCLUSIONS AND RECOMMENDATIONS

• The quality of water discharged from Wakulla Springs is predominantly determined by the quality of ground water in the Floridan Aquifer. Under low-flow conditions, discharge from Wakulla Springs is composed almost entirely of ground water from the Floridan Aquifer. Under high-flow conditions, discharge from Wakulla Springs is still primarily composed of Floridan Aquifer ground water. Surface water inputs (via sinking streams and other direct, conduit-type inputs to the Floridan Aquifer) at all times constitute a relatively small fraction of the total discharge from the spring.

• The capture zone for Floridan Aquifer discharge features in coastal Wakulla County extends as far north as Mitchell County in southwest Georgia. Volumetrically, most of the water discharged through Wakulla Springs is recharge that occurs on the Woodville Karst plain near the spring or further north in Leon County. The spring is imbedded in a zone of very high Floridan Aquifer hydraulic conductivity that funnels water to the spring from the northwest, north and northeast. The cities of Tallahassee and Woodville, suburbanized Leon County and developing portions of Wakulla County overlie the spring capture zone.

• Given its proximity to both the spring and to the high hydraulic conductivity zone lying north of the spring, it is a virtual certainty that Ames Sink contributes water to Wakulla Springs. Fisher and Black creeks, which lie near the presumptive western edge of the capture zone probably contribute water to Wakulla Springs. Lost Creek sinks too far south to contribute water to the spring. This water likely discharges through the Spring Creek group.

• Potentiometric surface mapping efforts suggest a significant ground water bypass flow occurring west of Wakulla Springs. To date, efforts to prove the existence of a direct connection between the Big Dismal—Turner Sink conduit system and Wakulla Springs have been unsuccessful. Management and protection efforts for Wakulla Springs will benefit from resolution of this question.

• Based on measurements of stream condition index and other observations, the biota of Wakulla Springs and the upper river have been adversely perturbed by anthropogenic impacts. These appear to result from the introduction of invasive exotic plants and increased nutrient discharge from the spring. Effective efforts to manage Wakulla Springs as an esthetic and recreational resource require an improved understanding of the complex interrelationship between nutrient concentrations in spring water and attendant biological perturbations.

• Existing data indicate that nitrate concentrations in waters discharging from Wakulla Springs have increased threefold in the past 25 years. This represents a tripling of the total nitrate-N mass discharged from the spring, from an estimated 80,000 kg-N/yr in the mid- to late 1970s to an estimated 270,000 kg-N/yr presently. Isotopic analyses indicate that both inorganic and organic sources contribute to the nitrogen load discharged by the spring.

• Assuming that removal efficiencies remain at present levels, the nitrogen load discharged through the spring will increase as the population of Leon and Wakulla counties increases.

• Existing data indicate that nitrate concentrations in Floridan Aquifer ground waters beneath the semi-confined potion of Leon County have been constant or slightly increasing over the

# 114 past 20 years. This implies that the flux of nitrate-N from the semi-confined Floridan Aquifer into the unconfined Floridan Aquifer (along the Cody Scarp) has been relatively constant over this period. The estimated nitrate-N mass flux across this boundary under present conditions is 73,000 kg-N/yr.

• Analyses presented here indicate that the increase in nitrate-N output from Wakulla Springs over the past 25 years is largely attributable to nitrogen inputs that have occurred south of the Cody Scarp.

• At the scale of the entire study area and under current conditions, atmospheric deposition accounts for about half the total N load applied to the landscape. OSDS, WWTF, commercial fertilizer, livestock and sinking streams account for the other half. Ignoring atmospheric deposition and sinking stream inputs, OSDS, livestock and commercial fertilizers are estimated to contribute about 60 percent of the total nitrogen load applied to the landscape. WWTFs contribute the remaining 40 percent.

• At the scale of the Wakulla Springs contributory area and under current conditions, WWTFs are estimated to contribute just over half of the nitrogen load applied to the landscape. Atmospheric deposition, OSDS, livestock, commercial fertilizer and sinking streams contribute the remainder.

• The analysis presented here presumes a state of quasi-equilibrium between nitrogen applications to the landscape and nitrogen loads discharged through downgradient springs. Assuming that the ability of the landscape and hydrosphere to provide de-nitrification is more or less constant, decreasing the nutrient discharge from springs will require reducing nitrogen loads to the landscape.

• Technologies that provide for OSDS de-nitrification (beyond what currently applied technologies give) should be encouraged, particularly south of the Cody Scarp and within the Wakulla Springs contributory area. To the extent they reduce potential numbers of OSDS (or other pollution sources), land acquisitions provide positive water quality benefits.

• If additional de-nitrification of large, more concentrated sources (e.g. WWTFs) is contemplated, this should be preceded by consideration of the benefit likely to be derived. Effective cost-benefit analysis presumes a better understanding of both the fate and transport of nutrients derivative of these facilities and the adverse effect of elevated nutrient levels on receiving surface waters.

• Nitrogen introduced to the environment via WWTF effluent and residuals disposal comprises a relatively large fraction of the total nutrient budget of the study area. The fate of nitrogen introduced to ground water from these sites is poorly understood, beyond the immediate site perimeters. While the nitrogen budget presented here assumes this nitrogen is reaching Wakulla Springs, there is no direct evidence for this. Additional data collection and monitoring will be required to prove this hypothesis.

• Monitoring the evolution of nutrient plumes emanating from concentrated points of application is not a trivial undertaking. The effort is significantly complicated by the length scales involved and by the cryptic way in which conduit flow in a karst environment influences contaminant transport.

# 115 • Continuing, long-term monitoring of streamflow and water quality (potentially Munson Slough, Black, Fisher and Lost creeks, and St. Marks River) and spring flow (WakullaSprings and St. Marks Rise) will provide a better understanding of ground-water/surfacewater interactions on the Woodville Karst Plain.

• The age dating of ground and surface waters is an important tool in the identification ground water/surface water interactions (and associated time scales). Continued speciation of nitrogen isotopes will further elucidate the significance of various inputs of organic and inorganic nitrogen to ground waters.

• This study greatly benefited from accurate and precise data on effluent and residual loads. Future studies in this (and other areas) will benefit from similar high quality data for other nitrogen streams, in addition to effluent and residuals.

# 116 REFERENCES

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# 119 BIBLIOGRAPHY

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# 122 

# APPENDIX A

# 123 Table A1. Construction Details of Wells Used for Water Level Monitoring.

NWF ID Site ID FLUID Well Name Total Depth Casing Depth Land Surface Elevation Latitude Longitude
372 300645084223701 AAA0525 WAKULLA PK REC WELL 120 35 32.14 300654.83 842236.93 467 300907084172701 WELCH WELL 185 26 20.64 300904.695 841727.756 507 300930084210301 AAA6529 R. BREG 100 28 20.72 300931.168 842105.795 554 301008084123801 AAA0526 PURDOM #4 106 71 11 301008.08 841238.12 556 301011084190401 AAA6514 P. HAND 90 19 25.54 301008.561 841859.923 585 301032084144001 AAA6530 T&T HIDEAWAY 100 60 3.95 301033.448 841440.886 607 301053084192101 AAA6769 N. WOOTEN 98 40 20.94 301053.145 841923.184 613 301059084204002 AAA6499 D. BRAZIER 35 13.87 301104.351 842040.028 635 301115084241201 AAA0523 USGS ARRAN WORK CTR 129 75 32.23 301114.08 842412.23 654 301130084215801 AAA6526 R. WARREN 70 60 27.56 301125.886 842155.712 663 301145084192201 AAA6527 N. GARCIA 60 38 23.39 301144.655 841925.53 671 301156084103501 AAA0527 NEWPORT RECREATION 69 12 6.96 301156.1 841035.73 705 301300084152501 AAA0245 GODARD PLANTATION 48 21 21.04 301258.45 841524.41 713 301315084202801 AAA6506 CLEMENS / HICKS 60 40 15.58 301311.397 842026.961 715 301323084133001 RUTHERFORD WELL 0 0 14.53 301319.582 841327.906 728 301337084204001 AAA6522 R. MCKEITHON 75 36 18.32 301335.989 842039.067 746 301402084222801 AAA6521 P. CAUSSEAUX 60 23 21.26 301402.922 842227.469 769 301427084144601 AAA6534 PENNINGTON,DAU-VAUSE 65 37 18.08 301426.367 841439.587 802 301505084200801 AAA6516 C WELCH 57 25 14.96 301503.678 842017.345 876 301700084205201 AAA6519 MARSHALL WELL 70 42 20.17 301701.015 842052.088 900 301725084122601 AAA0296 WALTER GERREL 70 40 30.26 301725.62 841227.07 977 301844084173501 AAA6984 CHARLES DONAHUE 80 56 25.69 301840.88 841738.27 978 301844084173502 AAA6985 C DONAHUE DEEP 157 113 25.21 301839.49 841738.07 1003 301857084180401 AAA0262 SPRIGGS AG WELL 148 110 25.04 301857.52 841804.01 1017 301904084183601 AAA6778 S CAMPELL 80 36 23.27 301903.86 841835.75 1028 301910084174901 AAA0260 J. LEWIS 50 35 23.03 301909.74 841748.59 1164 302051084120901 AAA2999 SE22 (1164) 127 102 27.96 302051.093 841208.793 1204 302109084154701 AAA0281 BIKE TRAIL WELL 90 80 37.33 302110.05 841543.34 1276 302135084202001 AAA0258 LS20 (1276) 145 145 29.24 302133.76 842019.13 1344 302203084110001 AAA2976 SE48 (1344) 95 89 54.18 302148.151 841039.476 1417 302235084190301 AAA0255 LS04 (1417) 53 38 44.56 302235.53 841902.33 1427 302237084211301 BETTY KELLY 160 33.1 302236.977 842112.247 1569 302315084192801 AAA2936 LS21 (1569) 248 247 58.32 302317.474 841927.976 6101 301230084215001 AAA2122 JIMMIE PETTY 80 29 18.54 301238.69 842147.05 6102 301322084204001 AAA2121 DENHARDT 140 32 19.34 301324.65 842040.19 6105 300755084211301 AAB2403 JAMES EMMONS 60 38 20.43 300750.85 842121.78 6108 301104084255401 AAB2406 RICHARD SANDERS 74 52 44.87 301059.8 842546.52 6127 301242084213201 AAB2407 J.W. COOPER 80 28 24.85 301744.96 842132.05 6128 301736084194601 AAB2408 J.J. FLORES 60 20 17.22 301742.67 841950.64 6135 301712084211401 AAB2409 A. SCOTT 28 22 24.05 301714.09 842115.9 6200 301819084134001 AAA3053 DISC VILLAGE 140 40 44.13 301819.865 841340.22 6282 301050084150101 AAB2413 CHRIS RACKLEY 80 60 10.52 301050.04 841501.09 6311 301230084214001 AAB2411 MARK SMITH 65 55 24.91 301226.4 842131.96 7105 301422084183601 AAA6779 WAKULLA SPRINGS PARK 65 57 16.01 301423.212 841837.263 7221 301546084163001 ROBERT SMITH 100 30 34.83 301617.703 841542.005 7222 301158084135501 AAA3011 MARTHA DINGLER 100 21 13.99 301158.51 841355.74 7223 302050084110502 SE53 (7223) 100 93 27.9 302050.127 841105.812

# 124 Table A1. Construction Details of Wells Used for Water Level Monitoring [cont].

NWF ID Site ID FLUID Well Name Total Depth Casing Depth Land Surface Elevation Latitude Longitu de

7234 301550084153001 AAA7793 KATHY CAUSSEAX 99 42 26.96 301550.14 841530.16 7238 301815084092601 AAG8892 DICK WEST 56 26 21.30 301829.703 840926.607 7239 301548084130301 AAA7822 WINCO #1 150 60 41.2 301548.337 841303.009 7492 300911084162301 AAB2437 NITRATE #1 247 229 16.97 300911.978 841623.956 7493 300915084162501 AAB2438 NITRATE #2 120 105 16.36 300915.464 841625.286 7494 301446084184601 AAB2439 NITRATE #3 270 250 13.12 301446.984 841846.815 7495 301448084184601 AAB2440 NITRATE #4 70 50 13.46 301448.235 841846.882 7498 302037084082701 AAB2441 NITRATE #5 270 253 28.56 302037.881 840827.329 7499 302039084082601 AAB2442 NITRATE #6 90 70 28 .35 302039.364 840826.19

# 125 Table A2. Construction Details for Wells Used in 1997 Sampling Event.

NWF ID Site ID FLUID Well Name Total Depth Casing Depth Land Surface Elevation Latitude Longitude 231 295953084290101 AAA0524 OCHLOCKONEE ST PK #1 74 41 11.54 295957.743 842859.776 251 300117084330501 AAA6504 J. GLOW 142 116 10 300120.271 843303.995 276 300320084285201 AAA6775 GRIFFIN HM & CRM STR 110 60 17 300319.068 842850.962 278 300328084292201 AAA6770 REVELL WELL BACKYARD 181 131 28 300328.311 842920.746 280 300330084301501 AAA6502 B. PORTER 100 97 12 300327.271 843013.751 313 300422084304001 AAA6771 F. LAWHON 153 123 30 300441.358 843103.182 325 300500084232001 AAA6776 BROWN TRLR & SEAFOOD 95 78 34 300500.706 842319.066 326 300500084373501 AAA6512 L ROBERTS 210 166 35 300501.748 843740.395 330 300516084311101 AAA6772 J CRAIG 98 65 15 300511.885 843108.078 334 300526084300301 AAA6503 PATRICK HARRINGTON 140 66 40 300520.051 842956.618 338 300529084321501 AAA6773 MCCAULEY FLOWER SHOP 139 88 43 300527.213 843215.796 339 300530084221501 AAA6508 MCDONALD #2 63 52 32 300534.588 842220.049 343 300550084224401 M. WIGGINS 120 60 37 300550 842244 344 300550084315201 AAA6501 B. AREND 123 100 35 300550.623 843156.107 351 300618084193801 AAA7842 TEC-GULF COAST 1 205 131 14.07 300614.746 841936.133 354 300628084213801 AAA6538 J. EWING 127 68 27 300622.036 842143.617 356 300629084294701 AAA6510 LYNN FORMERLY QUIGG 120 70 45 300626.297 842948.062 363 300638084223101 AAA6537 GAIL DEFEND 190 37 35 300643.443 842227.557 372 300645084223701 AAA0525 WAKULLA PK REC WELL 120 35 32.14 300654.83 842236.93 381 300705084220901 AAA6774 CRONAN 80 40 28 300708.737 842207.477 391 300740084235201 AAA6536 D. SHORES 41 32 25 300739.691 842354.6 399 300755084184801 AAA6531 C. COOMBS 150 38 23 300754.644 841848.801 402 300757084240501 AAA6524 R. GILLESPIE 70 58 43 300751.153 842422.741 412 300810084202501 AAA6532 R. HUGUENIN 90 87 10 300812.514 842030.139 507 300930084210301 AAA6529 R. BREG 100 28 20.72 300931.168 842105.795 527 300943084234301 AAA6535 W. HARVEY 55 23 23 300940.245 842342.519 544 300957084240901 AAA6539 J. REEVES 118 97 32 300956.55 842409.692 547 300959084244701 AAA6513 VIRGO IS THE BUILDER 106 66 37 301005.715 842435.674 564 301018084242301 AAA6498 S. EDWARDS 95 55 35 301017.629 842424.071 607 301053084192101 AAA6769 N. WOOTEN 98 40 20.94 301053.145 841923.184 613 301059084204002 AAA6499 D. BRAZIER 35 13.87 301104.351 842040.028 635 301115084241201 AAA0523 USGS ARRAN WORK CTR 129 75 32.23 301114.08 842412.23 641 301119084210601 AAA6525 D. BLACKSTAD 60 44 18 301120.086 842103.815 648 301124084153701 GODDARD PLANT. #1 45 18 6 301124 841537 653 301128084251401 AAA6515 DONNIE SPARKMAN WELL 105 76 41 301134.741 842520.629 654 301130084215801 AAA6526 R. WARREN 70 60 27.56 301125.886 842155.712 658 301135084183402 AAA7841 TEC-GULF COAST #3 322 140 27 301134.067 841833.519 663 301145084192201 AAA6527 N. GARCIA 60 38 23.39 301144.655 841925.53 674 301200084183601 AAA6528 JOHNSON, THOMAS 86 22 25.46 301201.552 841835.776 698 301252084214101 AAA6523 G. RUIS 48 36 18 301251.137 842141.247 701 301256084202001 AAA6500 A. CONNER 49 25 17 301253.909 842028.474 702 301256084202501 AAA6509 K. KEY 50 16 16 301253.123 842028.908 710 301310084402001 AAA6511 M. BERG 170 94 60 301311.632 844020.202 713 301315084202801 AAA6506 CLEMENS / HICKS 60 40 15.58 301311.397 842026.961 717 301324084132601 AAA6517 S. B. SMITH 50 18 17 301323.868 841427.306 728 301337084204001 AAA6522 R. MCKEITHON 75 36 18.32 301335.989 842039.067 746 301402084222801 AAA6521 P. CAUSSEAUX 60 23 21.26 301402.922 842227.469 769 301427084144601 AAA6534 PENNINGTON,DAU-VAUSE 65 37 18.08 301426.367 841439.587

# 126 NWF ID Site ID FLUID Well Name Total Depth Casing Depth Land Surface Elevation Latitude Longitude 801 301505084080401 AAA6505 NETTLES 43 12 301505.123 840905.821 802 301505084200801 AAA6516 C WELCH 57 25 14.96 301503.678 842017.345 831 301609084145201 AAA6518 J. MCCABE 115 39 43 301604.597 841453.6 977 301844084173501 AAA6984 CHARLES DONAHUE 80 56 25.69 301840.88 841738.27 978 301844084173502 AAA6985 C DONAHUE DEEP 157 113 25.21 301839.49 841738.07 998 301855084145001 AAA3056 WOODVILLE #1 199 117 35 301900.12 841449.564 1007 301900084141801 AAA3055 WOODVILLE #2 200 122 35 301859.579 841419.674 1020 301905084201701 TEC-SOUTHERN PINES 287 286 35 301905.23 842018.305 1056 301930084185801 TEC-FOREST PARK #1 200 112 27 301941.204 841923.219 1103 302007084231901 AAA0290 TROUT POND 340 307 92 302008.47 842317.96 1156 302049084120901 AAA2994 SE02 (1156) 46 42 26.05 302049.917 841208.043 1164 302051084120901 AAA2999 SE22 (1164) 127 102 27.96 302051.093 841208.793 1166 302051084123502 AAA2996 SE16 (1166) 70 60 29.84 302052.148 841234.927 1233 302116084123701 AAA2960 SE01 (1233) 71 57 20.38 302115.897 841237.083 1240 302117084113801 AAA2989 SE19 (1240) 74 52 46.88 302117.909 841137.766 1290 302141084123602 AAA2962 SE15 (1209) 102 96 34.8 302141.996 841234.172 1511 302303084190901 AAA2937 LS25 (1511) 69 54 65 302303.984 841909.125 1512 302303084213701 SF01 (1512) 40 26 35.28 302304.129 842136.789 1542 302309084185701 AAA8325 LS32 (1542) 80 58 64.05 302317.474 841927.976 1569 302315084192801 AAA2936 LS21 (1569) 248 247 58.32 302334 842229 1663 302334084222901 SF03 (1663) 88 60 76.73 302442.119 841536.721 2043 302445084154501 AAA3695 TALLAHASSEE #27 316 150 70 302454 842004 2106 302513084160901 AAA3697 TALLAHASSEE #12 365 192 125 302536.846 841328.567 2196 302535084132902 AAA3702 TALLAHASSEE #17 483 314 210 302559.878 841628.907 2333 302558084162601 AAA3698 TALLAHASSEE #3 380 185 150 302609.601 841853.267 2375 302607084185201 AAA3696 TALLAHASSEE #15 315 127 116 302609.243 841640.086 2377 302608084164101 AAA3084 TALLAHASSEE #1 341 176 125 302644.516 841701.674 2573 302644084170101 AAA3704 TALLAHASSEE #9 347 187 140 302655 840730 2621 302655084175502 AAA3707 TALLAHASSEE #5 390 222 141 302710.797 841633.961 2692 302710084163002 AAA3083 TALLAHASSEE #2 415 213 186.82 302713.682 841627.121 2706 302714084162701 AAA3703 TALLAHASSEE #4 424 228 193 302713.684 841709.227 2707 302714084170701 AAA3705 TALLAHASSEE #7 355 170 162 302713.684 841723.288 2708 302714084172301 AAA3706 TALLAHASSEE #6 281 150 137.5 302723.4 841838.16 2742 302722084184101 AAA3157 TALLAHASSEE #13 365 192 157 302727 841111 2782 302731084154301 AAA3699 TALLAHASSEE #10 442 242 192 302802.278 841632.149 2863 302801084163401 AAA3082 TALLAHASSEE #8 466 233 187 302829 841233 2957 302838084204302 AAA3087 TALLAHASSEE #23 410 250 120 302858.44 841146.667 2990 302856084112101 AAA3694 TALLAHASSEE #22 190 101 90 302905.283 841009.465 3013 302903084101001 AAA3085 TALLAHASSEE #21 280 180 110 302940.199 842018.96 3021 302908084202002 AAA3700 TALLAHASSEE #19 428 290 193 302909.603 841054.482 3028 302910084105601 AAA3693 TALLAHASSEE #20 245 151 145 302936.243 841710.326 3108 302939084164301 AAA3692 TALLAHASSEE #11 454 274 230 303010.799 841354.468 3181 303012084135302 AAA3088 TALLAHASSEE #16 310 257 180 303030 841734 3379 303126084141302 AAA3086 TALLAHASSEE #18 388 267 185 303206 840744 3522 303225084103001 AAA3089 TALLAHASSEE #29 405 250 158 303228 841827 3691 303335084163701 AAA3691 TALLAHASSEE #25 450 305 235 303347 841938 3946 303522084154401 AAA3090 TALLAHASSEE #31—AH2 317 190 206 302847.275 841903.349 5851 302847084190502 AAA3156 TALLAHASSEE #26 407 309 135 302050.127 841105.812 7223 302050084110502 SE53 (7223) 100 93 27.9 302146 841103 7268 302146084110301 AAA3011 SE11N (7268) 70 55.23 302146 841103 7269 302146084110302 AAA3012 SE11S (7269) 88 55.21 302051.303 841205.68

# 127 NWF ID Site ID FLUID Well Name Total Depth Casing Depth Land Surface Elevation Latitude Longitude 7270 302051084120501 AAA2969 SE22A (7270) 121 31.87 302050.365 841105.868 7285 302050084110501 AAA2972 SE52 (7285) 53 29.41 302838.317 840422.761 7796 301408084180501 WAKULLA BOAT DOCK 2 301900 841835 7831 302325084221701 SF04 (7831) 98 90 100.02 302230.12 842131.32 7832 302230084213101 SF05 (7832) 29 35.17 302303.84 842110.86 7833 302303084211001 SF06 (7833) 63 60.26 302304.05 841857.76

# 128 Table A3. Construction Details for Project Sampling Sites.

NWF ID Site ID FLUID Well Name Total Depth Casing Depth Land Surface Elevation Latitude Longitude 318 300436084251902 AAA0244 SOPCHOPPY #2 200 85 25.35 300437.24 842511.27 329 300516084094801 AAA0528 REFUGE HEADQUARTERS 65 45 13 300532.287 840942.005 351 300618084193801 AAA7842 TEC-GULF COAST #1 205 131 14.07 300614.746 841936.133 372 300645084223701 AAA0525 WAKULLA PK REC WELL 120 35 32.14 300654.83 842236.93 391 300740084235201 AAA6536 D. SHORES 41 32 25 300739.691 842354.6 544 300957084240901 AAA6539 J. REEVES 118 97 32 300956.55 842409.692 564 301018084242301 AAA6498 S. EDWARDS 95 55 35 301017.629 842424.071 607 301053084192101 AAA6769 N. WOOTEN 98 40 20.94 301053.145 841923.184 635 301115084241201 AAA0523 USGS ARRAN WORK CTR 129 75 32.23 301114.08 842412.23 641 301119084210601 AAA6525 D. BLACKSTAD 60 44 18 301120.086 842103.815 650 301126084050601 AAB2427 GAME CHECK STATION 36 14 14.78 301128.601 840505.59 653 301128084251401 AAA6515 DONNIE SPARKMAN WELL 105 76 41 301134.741 842520.629 658 301135084183402 AAA7841 TEC-GULF COAST #3 322 140 27 301134.067 841833.519 663 301145084192201 AAA6527 N. GARCIA 60 38 23.39 301144.655 841925.53 674 301200084183601 AAA6528 THOMAS JOHNSON 86 22 25.46 301201.552 841835.776 705 301300084152501 AAA0245 GODARD PLANTATION 48 21 21.04 301258.45 841524.41 713 301315084202801 AAA6506 CLEMENS / HICKS 60 40 15.58 301311.397 842026.961 717 301324084132601 AAA6517 S. B. SMITH 50 18 17 301323.868 841427.306 774 301430084184001 SALLY WARD 55 5 301430 841840 801 301505084080401 AAA6505 NETTLES 43 12 301505.123 840905.821 900 301725084122601 AAA0296 WALTER GERREL 70 40 30.26 301725.62 841227.07 1020 301905084201701 TEC-SOUTHERN PINES 287 286 35 301905.23 842018.305 1056 301930084185801 TEC-FOREST PARK #1 200 112 27 301941.204 841923.219 1176 302056084214901 BRATCHER 80 45.9 302055.312 842150.846 1261 302125084182301 HIERS 100 27 302126.483 841822.072 1399 302229084064902 AAA0297 TUNNINGTON NEW 211 150 150 302231.686 840644.565 1427 302237084211301 BETTY KELLY 160 33.1 302236.977 842112.247 2045 302445084194101 AAA6767 GOLF COURSE WELL 80 60 38.38 302445.46 841940.72 2562 302642084041501 WINDHAM 73 66 151.27 302641.718 840412.345 2749 302724084114501 AAA3064 MEADOW HILL S/D 253 123 135 302736.426 841150.216 2923 302829084123301 JIM GREGORY 187 97 120 302829 841233 6493 301542084213501 AAA1786 K.L. CLAYCOMB 180 25 301542.415 842135.071 7240 301547084131101 AAA7823 WINCO #2 160 60 20 301547.687 841311.714 7261 300007084283801 AAA7844 OCHLOCKONEE ST PK #2 80 66 10 300007.797 842838.855 7348 300826084175301 AAB1683 STEVE GRANTHAM 142 25 13 300826.9 841753.49 7353 300844084183001 CHARLIE MILLER 151 148 25 300846.008 841831.956 7492 300911084162301 AAB2437 NITRATE #1 247 229 16.97 300911.978 841623.956 7493 300915084162501 AAB2438 NITRATE #2 120 105 16.36 300915.464 841625.286 7494 301446084184601 AAB2439 NITRATE #3 270 250 13.12 301446.984 841846.815 7495 301448084184601 AAB2440 NITRATE #4 70 50 13.46 301448.235 841846.882 7498 302037084082701 AAB2441 NITRATE #5 270 253 28.56 302037.881 840827.329 7499 302039084082601 AAB2442 NITRATE #6 90 70 28.35 302039.364 840826.19 7734 301421084161201 MCBRIDE SLOUGH 7 301421 841612 7735 301033084240101 LOST CREEK @FR13 17 301033 842401 7736 301926084182001 MUNSON 

# SL@OAKRIDGE R 13 301926 841820 7737 301848084233601 FISHER 

# CR@SPGHILL R 37 301848 842336 7757 301636084202701 MIDDLE RIVER SINK 5 301636.24 842027.396 7796 301408084180501 WAKULLA BOAT DOCK 2 301408.381 841805.199129Table A4. Project Sampling Results.NWF ID STATION NAME DATE



# Temperature oCSC DO pH CA MG NA K NH4-N



# NH4+ONN
NO2+NO3- NCL SO4 HCO3 F PO4-P DOC SIO27261 OCHLOCKONEE STATE PARK 2 03/08/99 25.0 530 0.1 7.2 66 7.7 28 1.7 0.10 <0.20 <0.02 39.0 1.7 257 <0.10 0.02 1.9 6.8318 SOPCHOPPY WELL 2 03/08/99 20.5 238 0.1 7.8 43 1 3.4 0.7 0.10 <0.20 <0.02 5.6 2.8 135 0.13 0.18 0.5 11.0329 REFUGE HEADQUARTERS 03/17/99 21.6 635 0.1 7.2 55 7.8 58 2.7 0.30 0.52 <0.02 83.0 7.7 222 <0.10 0.64 9.0 8.5351 TEC GULF COAST03/10/99 20.9 356 0.1 7.6 48 3.4 16 0.8 0.04 <0.20 <0.02 30.0 11.0 149 <0.10 0.07 0.5 5.5372 WAKULLA PARKS AND REC 03/08/99 22.7 204 8.3 7.8 36 0.7 1.6 0.4 <0.01 <0.20 4.00 6.3 7.6 84 <0.10 0.04 <0.1 6.0391 DANIEL SHORES03/08/99 21.1 224 5.0 7.8 39 1.4 3.8 0.4 <0.01 <0.20 0.24 6.7 4.2 122 <0.10 0.02 <0.1 5.97348 STEVE GRANTHAM08/11/99 20.6 354 0.7 7.3 64 2.8 3.8 1.4 0.20 <0.20 <0.02 7.9 8.5 199 0.41 0.27 1.8 16.07353 CHARLIE MILLER08/11/99 21.0 264 0.4 7.5 50 1.2 3 0.7 0.20 0.21 <0.02 4.1 1.0 158 0.55 0.24 1.0 9.57492 NITRATE #102/14/00 21.1 583 0.6 7.6 62 11 33 1.5 0.02 <0.20 0.66 62.0 18.0 207 0.13 0.07 0.2 8.47492 NITRATE #110/11/00 21.1 635 0.7 7.6 69 11 39 1.9 <0.01 <0.20 1.10 71.0 20.0 235 0.1 0.06 0.5 8.57493 NITRATE #202/14/00 20.8 454 0.1 7.2 78 6.2 5.3 1.6 0.08 <0.20 <0.02 10.0 1.9 268 0.35 0.03 1.6 24.07493 NITRATE #210/11/00 20.7 455 0.2 7.1 76 6.5 5.3 1.8 0.06 <0.20 <0.02 10.0 1.7 272 0.3 0.02 2.1 24.0544 JERRY REEVES WELL 03/11/99 20.8 359 0.1 7.4 69 0.9 2.7 0.4 0.05 <0.20 <0.02 3.9 0.1 223 <0.10 0.07 1.5 9.2564 STEVE EDWARDS JR WELL 03/11/99 21.0 226 11.9 7.5 41 0.5 3.5 0.7 0.06 <0.20 0.04 3.8 5.1 129 <0.10 0.04 0.6 7.97735 LOST CREEK AT ARRAN FL 02/17/99 13.0 41 9.3 5.3 6.2 0.4 2 0.05 0.02 0.72 <0.02 3.9 1.2 10 <0.10 0.04 31.0 7.1607 NICK WOOTEN03/11/99 20.2 382 3.6 7.4 71 2.6 2.9 0.4 0.02 <0.20 0.52 6.2 5.4 228 0.11 0.04 <0.1 10.0635 ARRAN WORK CENTER 03/18/99 22.7 274 0.1 7.5 53 0.7 2.7 0.5 0.05 <0.20 <0.02 3.6 1.9 166 <0.10 0.04 1.6 7.8641 DUANE BLACKSTEAD WELL 03/11/99 20.5 291 1.3 7.7 53 1 3.1 0.6 <0.01 0.280 1.40 7.0 11.0 149 <0.10 0.01 <0.1 5.7650 GAME CHECK STATION 03/31/99 20.9 519 0.1 7.1 95 5.3 4 0.4 0.20 <0.20 <0.02 8.5 0.1 322 0.17 0.02 7.5 16.0653 DONNIE SPARKMAN WELL 03/11/99 21.1 182 0.2 7.9 34 0.5 1.7 0.6 0.03 <0.20 <0.02 3.3 3.5 104 <0.10 0.03 0.2 6.8658 TEC GULF COAST 303/10/99 20.8 304 0.1 7.6 46 7.2 3.8 0.4 <0.01 <0.20 0.05 6.6 8.2 173 0.12 0.03 0.5 9.3663 N. GARCIA03/18/99 21.1 306 3.9 7.4 53 4.1 3.6 0.4 <0.01 <0.20 0.34 6.2 9.5 169 <0.10 0.03 0.3 8.5674 THOMAS JOHNSON03/18/99 21.5 321 7.3 7.5 54 3.4 2.9 1.4 <0.01 <0.20 7.30 9.1 7.4 138 <0.10 0.02 0.3 9.0705 GODDARD PLANTATION 03/17/99 21.0 318 1.1 7.4 54 5.3 3.1 0.3 0.02 <0.20 0.18 5.0 7.7 184 0.1 0.02 0.5 9.4713 LINDA CLEMENS/HICKS 03/10/99 21.1 358 10.6 7.4 63 3.1 4.5 0.6 <0.01 <0.20 0.34 8.1 11.0 200 <0.10 0.02 0.2 8.6717 STEVE SMITH03/18/99 20.3 503 1.5 7.1 97 2.7 4.4 0.6 <0.01 <0.20 0.97 8.0 6.8 301 0.11 0.02 0.6 14.07796 WAKULLA SPRINGS03/19/99 20.7 211 1.0 7.0 43 9.7 5.5 0.5 0.20 <0.20 0.86 8.1 9.9 169 0.14 0.04 0.2 12.07796 WAKULLA SPRINGS02/17/00 20.6 268 6.2 7.9 42 9.3 5.4 0.6 0.02 <0.20 0.83 7.8 11.0 171 0.14 0.03 0.5 11.07796WAKULLA SPRINGS10/05/0020.92821.87.5418.904.700.500.02<0.200.707.79.21560.100.023.711.0130Table A4. Project Sampling Results [cont].NWF ID STATION NAME DATE



# Temperature oCSC DO pH CA MG NA K NH4-N



# NH4+ONN
NO2+NO3- NCL SO4 HCO3 F PO4-P DOC SIO27734 MCBRIDE SLOUGH 02/17/99 20.0 337 4.0 6.7 53 7.1 4.2 0.5 0.02 <0.20 0.58 6.5 10.3 190 0.13 0.05 0.1 11.0774 SALLY WARD SPRING 03/19/99 20.9 211 1.5 7.5 42 10 5.5 0.5 <0.01 <0.20 1.00 8.1 9.6 167 0.14 0.03 0.3 12.07494 NITRATE #302/15/00 21.1 268 0.1 8.1 37 8.5 3.6 1.1 0.02 <0.20 <0.02 5.0 8.8 146 0.16 0.02 <0.1 11.07494 NITRATE #310/11/00 21.2 269 0.1 8.2 35 8.5 4.2 3.7 0.02 <0.20 <0.02 5.5 11.0 149 0.2 0.02 0.4 11.07495 NITRATE #402/15/00 20.4 385 0.1 7.3 71 3.5 2.6 1 0.02 <0.20 <0.02 4.2 2.5 232 0.1 0.02 0.2 10.07495 NITRATE #410/11/00 20.6 377 0.1 7.3 68 3.6 2.6 1 <0.01 <0.20 <0.02 4.5 2.9 232 0.1 0.01 0.3 11.0801 LEON NETTLES03/17/99 20.0 1180 0.1 6.8 130 8.1 84 1.2 0.06 0.26 <0.02 210.0 2.4 337 0.2 0.01 5.8 20.06493 CLAYCOMB WELL03/18/99 22.1 274 6.2 7.5 42 6.6 2.8 0.5 <0.01 <0.20 1.60 4.8 7.1 149 <0.10 0.03 0.2 7.27240 WINCO-2 WELL06/23/99 20.2 282 0.3 7.4 44 6.4 3.3 0.4 0.02 <0.20 0.14 4.8 8.3 160 0.12 0.04 0.5 11.07757 MIDDLE RIVERSINK02/19/99 20.0 226 1.6 7.2 29 6.80 5.00 0.30 0.02 <0.20 0.19 8.0 11.0 110 <0.10 0.04 1.8 7.37757 MIDDLE RIVERSINK02/14/00 20.0 222 3.5 7.7 30 6.8 4.9 0.3 0.02 <0.20 0.20 7.5 11.0 113 <0.10 0.02 2.6 7.17757 MIDDLE RIVERSINK10/05/00 21.1 151.0 1.6 6.8 22 4.5 3.7 0.3 0.02 <0.20 0.12 5.9 6.8 76 <0.10 <0.01 18.0 6.6900 WALTER GERREL03/17/99 21.2 332 2.2 7.5 50 8.2 3.7 0.5 <0.01 0.30 0.59 6.1 9.5 184 0.17 0.02 0.1 14.07737 FISHER CREEK02/16/99 12.5 56 9.2 3.5 0 0.2 1.8 0.05 0.02 0.61 <0.02 3.6 0.7 1 <0.10 0.04 24.0 7.51020 TEC SOUTHERN PINES 03/10/99 21.2 204 1.2 7.8 28 6.4 3 0.2 <0.01 <0.20 0.24 5.3 6.0 112 <0.10 0.02 <0.1 6.97736 MUNSON SLOUGH-8 02/18/99 16.0 130 3.7 6.4 12 3 6.9 2.5 0.03 0.40 <0.02 10.7 1.3 55 <0.10 0.06 6.6 0.31056 TEC FOREST PARK 103/10/99 21.0 169 3.4 7.9 26 3.6 1.8 0.2 <0.01 <0.20 0.31 3.0 1.1 99 <0.10 0.01 <0.1 5.77498 NITRATE #502/15/00 21.1 291 0.3 7.6 43 7.4 3.5 0.9 0.03 <0.20 0.17 4.5 13.0 158 0.16 0.04 0.6 12.07498 NITRATE #510/12/00 20.9 298 0.2 7.5 44 7.9 3.4 0.5 <0.01 <0.20 0.19 5.3 12.0 166 0.2 0.04 1.3 13.07499 NITRATE #602/15/00 20.6 293 0.1 7.4 54 2.6 1.8 0.4 0.02 <0.20 <0.02 2.7 1.0 232 0.11 0.01 0.7 11.07499 NITRATE #610/12/00 20.6 294 0.2 7.4 53 2.7 1.9 0.4 <0.01 <0.20 <0.02 3.0 1.0 232 0.11 0.01 1.6 11.01176 HENRY BRATCHER03/05/99 21.7 193 7.0 8.1 25 6.5 3.3 0.3 <0.01 <0.20 0.68 4.9 2.0 107 <0.10 0.01 <0.1 8.81261 CARMEN HIERS03/05/99 20.9 219 2.8 7.9 35 2.8 4.2 0.3 <0.01 <0.20 0.76 6.7 1.6 121 <0.10 0.02 <0.1 6.01399 FRED TUNNINGTON WELL 03/04/99 21.3 170 6.3 8.2 25 4.1 2.4 0.3 <0.01 <0.20 1.20 4.8 4.9 85 0.1 0.02 <0.1 10.01427 BETTY KELLY WELL03/05/99 21.8 215 1.8 8.0 28 7.8 2.7 0.3 <0.01 <0.20 0.63 3.8 6.4 118 <0.10 0.02 <0.1 7.42045 SEMINOLE GOLF COURSE 04/12/99 21.3 60 0.1 5.3 4 1.3 3.2 1.1 0.02 <0.20 0.07 9.7 0.7 12 <0.10 0.02 1.5 9.42562 WINDHAM WELL03/31/99 20.7 152 8.5 7.9 20 4.9 2.5 0.6 <0.01 <0.20 0.70 4.0 0.5 84 0.3 0.02 <0.1 32.02749 MEADOWHILL SUBDIVISION 04/12/99 21.0 280 5.6 7.8 36 11 2.9 0.4 <0.01 <0.20 0.58 4.5 12.0 154 0.16 0.05 0.2 13.02923 JIM GREGORY03/04/99 20.7 288 7.2 7.7 43 7.9 3.2 0.5 <0.01 <0.20 0.38 5.6 2.0 172 0.11 0.03 <0.1 14.0

# 131 Table A5. Construction Details for City of Tallahassee Public Supply Wells.

NWF ID Site ID FLUID Well Name Total Depth Casing Depth Land Surface Elevation Latitude Longitude 998 301855084145001 AAA3056 WOODVILLE #1 199 117 35 301900.12 841449.564 1007 301900084141801 AAA3055 WOODVILLE #2 200 122 35 301859.579 841419.674 2043 302445084154501 AAA3695 TALLAHASSEE #27 316 150 70 302442.119 841536.721 2106 302513084160901 AAA3697 TALLAHASSEE #12 365 192 125 302513.796 841609.845 2196 302535084132902 AAA3702 TALLAHASSEE #17 483 314 210 302536.846 841328.567 2333 302558084162601 AAA3698 TALLAHASSEE #3 380 185 150 302559.878 841628.907 2375 302607084185201 AAA3696 TALLAHASSEE #15 315 127 116 302609.601 841853.267 2377 302608084164101 AAA3084 TALLAHASSEE #1 341 176 125 302609.243 841640.086 2573 302644084170101 AAA3704 TALLAHASSEE #9 347 187 140 302644.516 841701.674 2621 302655084175502 AAA3707 TALLAHASSEE #5 390 222 141 302655.673 841754.244 2692 302710084163002 AAA3083 TALLAHASSEE #2 415 213 186.82 302710.797 841633.961 2706 302714084162701 AAA3703 TALLAHASSEE #4 424 228 193 302713.682 841627.121 2707 302714084170701 AAA3705 TALLAHASSEE #7 355 170 162 302713.684 841709.227 2708 302714084172301 AAA3706 TALLAHASSEE #6 281 150 137.5 302713.684 841723.288 2742 302722084184101 AAA3157 TALLAHASSEE #13 365 192 157 302723.4 841838.16 2782 302731084154301 AAA3699 TALLAHASSEE #10 442 242 192 302731.677 841541.39 2863 302801084163401 AAA3082 TALLAHASSEE #8 466 233 187 302802.278 841632.149 2957 302838084204302 AAA3087 TALLAHASSEE #23 410 250 120 302836.487 842041.646 2990 302856084112101 AAA3694 TALLAHASSEE #22 190 101 90 302858.44 841146.667 3013 302903084101001 AAA3085 TALLAHASSEE #21 280 180 110 302905.283 841009.465 3021 302908084202002 AAA3700 TALLAHASSEE #19 428 290 193 302940.199 842018.96 3028 302910084105601 AAA3693 TALLAHASSEE #20 245 151 145 302909.603 841054.482 3108 302939084164301 AAA3692 TALLAHASSEE #11 454 274 230 302936.243 841710.326 3181 303012084135302 AAA3088 TALLAHASSEE #16 310 257 180 303010.799 841354.468 3379 303126084141302 AAA3086 TALLAHASSEE #18 388 267 185 303126.4 841413.197 3522 303225084103001 AAA3089 TALLAHASSEE #29 405 250 158 303227.239 841033.61 3691 303335084163701 AAA3691 TALLAHASSEE #25 450 305 235 303344.997 841636.844 3940 303520084153501 TALLAHASSEE #30 315 186 224 303520 841535 5851 302847084190502 AAA3156 TALLAHASSEE #26 407 309 135 302847.275 841903.349132Table A6. WWTFs in Leon and Wakulla Counties (from FDEP permitting records)FACILITY NAMEPERMIT NO.COUNTYFACILITYTYPEOWNERTYPEDESIGNCAPACITYDISPOSALMETHODFACILITY STATUS*DD_LATDD_LONGDATUMARVAH B. HOPKINS GENERATING STATION FL0025518 Leon Industrial City1.87 Surface water Active 30.4509 -84.3997 83WOODVILLE ELEM SCHOOLFLA010136 Leon Domestic Public0.01 Reuse system Active 30.3139 -84.2466 83DISC VILLAGE WWTPFLA010137 Leon Domestic Public0.02 SprayActive 30.3046 -84.2285 83FORT BRADEN ELEMENTARY SCHOOLFLA010138 Leon Domestic Public 0.011 PercolationActive 30.4404 -84.5161 83T P SMITH WATER RECLAMATION FACILITY FLA010139 Leon Domestic Public27.5 SprayActive 30.3915 -84.3225 83LAKE BRADFORD ROAD WWTPFLA010140 Leon Domestic Public4.5 SprayActive 30.4262 -84.3014 83TALLAHASSEE MUNICIPAL AIRPORT STPFLA010141 Leon Domestic Public0.06 PercolationActive 30.4076 -84.3557 83BORDEN INC. DISTRIBUTION CENTERFLA010143 Leon Industrial Private30.4306 -84.3361BUDGET RENT A CARFLA010144 Leon Industrial Private30.4303 -84.3528CAPITAL EUROCARS, INC.FLA010145 Leon Industrial Private30.4569 -84.3572WESTVIEW MOBILE HOME PARKFLA010146 Leon Domestic Private 0.01530.4428 -84.4033LAKE BRADFORD ESTATES STPFLA010148 Leon Domestic Private 0.036 PercolationActive 30.4067 -84.3240 83RAINBOW CAR WASHFLA010149 Leon Industrial PrivateDrainfield30.4351 -84.3729PROCTOR ACURAFLA010150 Leon Industrial Private30.4585 -84.4543SOUTHERN BELL TRAILER PARKFLA010151 Leon Domestic Private 0.015 Reuse system Active 30.4579 -84.3737 83WESTERN ESTATES MHPFLA010152 Leon Domestic Private 0.02 Reuse system Active 30.4351 -84.3729 83LAFAYETTE KENNELSFLA010153 Leon Industrial Private30.4314 -84.1886COURTESY CARSFLA010154 Leon Industrial Private 0.001 DrainfieldActive 30.4566 -84.3704 83LEWISWOOD CENTER & SELF SVC STORAGE FLA010155 Leon Industrial Private 0.0013 DrainfieldActive 30.3266 -84.2498 83MIKE’S LAUNDRYFLA010156 Leon Industrial Private 0.0027 DrainfieldActive 30.3181 -84.2486 83LAKE JACKSON ANIMAL HOSPITALFLA010158 Leon Industrial Private 0.0005 DrainfieldActive 30.4940 -84.3255 83MEADOWS-AT-WOODRUN WWTFFLA010159 Leon Domestic Private 0.07 Reuse system Active 30.4216 -84.1362 83FLINT EQUIPMENT CO.FLA010160 Leon Industrial PrivateRecycleActive 30.4582 -84.3817 83ISLAND FOOD STORE, LTD.FLA010161 Leon Industrial PrivateRecycleActive 30.4403 -84.3141 83ISLAND FOOD STORE, LTDFLA010162 Leon Industrial PrivateRecycleActive 30.4377 -84.2701 83DOLLAR RENT A CARFLA010163 Leon Industrial PrivateRecycleActive 30.4025 -84.3518 83JACKSON-COOK INC.FLA010164 Leon Industrial Private30.4389 -84.3347AMOCO/SING OIL CO.FLA010165 Leon Industrial PrivateClosedActive 30.5648 -84.2145 83G.W. HUNTER, INC. # 337 (CHEVRON)FLA010166 Leon Industrial Private30.4000 -84.2667SANDSTONE RANCH WWTFFLA010167 Leon Domestic Private 0.0707 PercolationActive 30.4347 -84.3954 83SOUTHDOWN, INC. / TALLAHASSEEFLA010168 Leon Industrial Private 0.8146 PercolationActive 30.4344 -84.2988 83DAVIS REFINING CORPORATIONFLA010169 Leon Industrial Private30.4117 -84.3036LAKE JACKSON WWTF (AKA LAKEWOOD) FLA010171 Leon Domestic Private0.3 Reuse system Active 30.5357 -84.3668 83FALLSCHASE FLA010172Leon DomesticPrivate0.175PercolationActive30.4632 -84.212983KILLEARN LAKES SUBDIVISIONFLA010173 Leon Domestic Private0.7 Spray/percActive 30.5931 -84.2202 83133Table A6. WWTFs in Leon and Wakulla Counties (from FDEP permitting records) [cont]FACILITY NAMEPERMIT NO.COUNTYFACILITYTYPEOWNERTYPEDESIGNCAPACITYDISPOSALMETHODFACILITY STATUSDD_LATDD_LONGDATUMNATIONAL HIGH MAGNETIC FIELD LAB – FSU FLA016533 Leon Industrial State 0.075 SprayActive 30.4246 -84.3265 83SOUTHDOWN, INC. / TALLAHASSEEFLA016653 Leon Industrial PrivatePercolationActive 30.4350 -84.2969 83SOUTHERN CONCRETE – TALLAHASSEE PLANT FLA016709 Leon Industrial PrivatePercolationActive 30.3770 -84.2731 83HERTZ EQUIPMENT RENTAL CORPORATION FLA016876 Leon Industrial PrivateRecycle Under Construction 30.4359 -84.3639 83ENTERPRISE CAR RENTALFLA016985 Leon Industrial PrivateRecycle Under Construction 30.4370 -84.3499 83DIVISION OF FORESTRY DISTRICT OFFICE FLA017296 Leon Industrial StateRecycle Under Construction 30.4566 -84.3999 83HYCREST DAIRY, INC.FLA181803 Leon Industrial PrivateActive 30.5263 -84.0254 83NEFF RENTAL – TALLAHASSEEFLA188590 Leon Industrial PrivateUnder Construction 30.3863 -84.2746BP OIL COMPANYFLG910291 Leon Industrial PrivateDrainfieldActive 30.4802 -84.3039 83FDOT KATE IRELAND/FOSHALEE FARMFLG910616 Leon Industrial StateDrainfieldActive 30.6605 -84.1897 83FORMER NORTHSIDE CITGOFLG910976 Leon Industrial PrivateDrainfieldActive 30.4699 -84.3609 83PRIMEX TECHNOLOGIES, INC.FL0002518 Wakulla Industrial Private 0.79 Surface watActive 30.1810 -84.2201 83SAM O. PURDOM GEN STATIONFL0025526 Wakulla Industrial CityActive 30.1630 -84.1992 83MURPHY OIL CORPORATIONFL0032433 Wakulla Industrial PrivateSprayActive 30.1670 -84.2006 83ST MARKS REFINERYFL0035220 Wakulla Industrial Private 0.03 Surface watActive 30.1647 -84.2065 83MCKENZIE SERVICE CO. INC.FL0042161 Wakulla Industrial PrivateSurface watActive 30.1600 -84.1992 83WAKULLA COUNTY WWTFFLA010225 Wakulla Domestic Public0.2 SprayfieldActive 30.0821 -84.4168 83WAKULLA CO HIGH SCHOOLFLA010226 Wakulla Domestic Public 0.018Active 30.1063 -84.3749 83SHADEVILLE ELEMENTARY WWTFFLA010227 Wakulla Domestic Public 0.016 PercolationActive 30.2150 -84.3203 83WAKULLA COUNTY LAW ENFORCEMENT CTR FLA010228 Wakulla Domestic Public0.0230.1929 -84.3722 83WAKULLA MIDDLE SCHOOLFLA010229 Wakulla Domestic Public 0.018 Reuse system Active 30.1268 -84.3722 83ACE COIN LAUNDRYFLA010232 Wakulla Industrial Private 0.0068Active 30.1846 -84.3745 83MUDBUSTERS FLA010233Wakulla IndustrialPrivate30.2114 -84.3703OYSTER BAY ESTATES STPFLA010237 Wakulla Domestic Private 0.06 Reuse system Active 30.0670 -84.2967 83WAKULLA MANORFLA010238 Wakulla Domestic Private 0.024 Reuse system Active 30.0849 -84.3869 83LAND OF WAKULLA D.B.A. QUIK LUBEFLA010239 Wakulla Industrial PrivateActive 30.2066 -84.3660 83HANNON LIMESTONE PITFLA010240 Wakulla Industrial PrivateActive 30.1603 -84.2918 83RIVER PLANTATION ESTATES WWTPFLA010241 Wakulla Domestic Private 0.025 PercolationActive 30.2050 -84.2517 83SHELL POINT STPFLA010242 Wakulla Domestic Private 0.024 PercolationActive 30.0587 -84.2895 83WINCO UTILITIES, INC.FLA016544 Wakulla Domestic Private 0.495 SprayfieldActive 30.2566 -84.2184 83ST. MARKS WWTFFLA102318 Wakulla Domestic City0.05 Industrial reuse30.1532 -84.2076WAKULLA STATION CNTY CAFÉ & LAUNDROMAT FLA185965 Wakulla Industrial Private 0.003Under Construction 30.2329 -84.2304 83SANDERS & SON INC CRAB PROCESSING FACILITY FLA188824 Wakulla Industrial Private 0.0005Active 30.0608 -84.4897 83BROOKS CONCRETEFLG110265 Wakulla Industrial PrivateActive 30.0363 -84.2882134Table A7. Domestic WWTF Effluent Total Nitrogen (kg-N/yr) Loading Rates.FACILITY NAMEPERMIT NO.COUNTYMETHOD DATA SOURCE FACTORUSED**19921993199419951996199719981999DISC VILLAGE WWTPFLA010137 LEON design flow factor Wakulla High School 2 343 390 254 284 512 235FALLSCHASEFLA010172 LEON design flow factor Wakulla County 0.871025* 2367*KILLEARN LAKES SUBDIVISION FLA010173 LEON design flow factor Lake Jackson 1.17 5221 3676 4288 3916 3532 3076LAKE BRADFORD ESTATES STP FLA010148 LEON design flow factor Shadeville Elem 2.25 346 634 235 204LAKE JACKSON WWTFFLA010171 LEON concentration sub T.P. Smith 4462 3142 3665 3347 3018 2629MEADOWS-AT-WOODRUN WWTF FLA010159 LEON design flow factor St. Marks 1.2231T.P. SMITHFLA010139 LEON283431 193830 253445 202634 226619 258305 213391 222624LAKE BRADFORD ROAD WWTP FLA010140 LEON127932 128941 96726 108424 87554 95080 124146 102184TALLAHASSEE MUNICIPAL AIRPORT FLA010141 LEON1186 1436 1191 1179 1129 1058WOODVILLE ELEM SCHOOLFLA010136 LEON design flow factor Shadeville Elem 0.62 95 175 65 56OYSTER BAY ESTATES STP FLA010237 WAKULLA design flow factor St. Marks 1193RIVER PLANTATION ESTATES WWTP FLA010241 WAKULLA design flow factor Shell Point 1 220 147 96 100 206 141SHELL POINT STPFLA010242 WAKULLA concentration sub T.P. Smith 220 147 96 100 206 141WAKULLA COUNTY WWTFFLA010225 WAKULLA concentration sub T.P. Smith 2087 1861 1881 1963 1827 2085 10591853SHADEVILLE ELEMENTARY WWTF FLA010227 WAKULLA154 282 104 90ST. MARKS WWTFFL0040835 WAKULLA193WAKULLA CO HIGH SCHOOL FLA010226 WAKULLA concentration sub Shadeville Elem 172 195 127 142 256 118WAKULLA COUNTY LAWENFORCEMENT CTRFLA010228 WAKULLA 147 81 80 290 182 146 173*WAKULLA MANORFLA010238 WAKULLA202* 301WAKULLA MIDDLE SCHOOLFLA010229 WAKULLA concentration sub Shadeville Elem 190 230 112 82 78 122 108*WINCO UTILITIES, INC.FLA016544 WAKULLA concentration sub T.P. Smith478* 1313 1219*Calculated from less than six months data**Conversion factor based on design capacity

# 135 Table A8. Construction Details for Southeast Sprayfield Monitor Wells.

NWF ID Site ID FLUID Well Name Total Depth Casing Depth Land Surface Elevation Latitude Longitude 1148 302045084120901 AAA2956 SE04 (1148) 47 42 27.57 302044.638 841207.691 1149 302045084123701 AAA2955 SE23 (1149) 57 48 32.48 302047.191 841235.817 1150 302045084123702 AAA2953 SE50 (1150) 129 125 32.93 302047.313 841235.897 1153 302046084113801 AAA2954 SE24 (1153) 58 56 24.55 302046.749 841137.816 1154 302046084113802 AAA2952 SE51 (1154) 170 146 25.67 302046.916 841137.904 1156 302049084120901 AAA2994 SE02 (1156) 46 42 26.05 302049.917 841208.043 1162 302051084113801 AAA2992 SE21 (1162) 139 125 27 302051.579 841138.048 1163 302051084113802 AAA2991 SE20 (1163) 53 50 30.22 302051.808 841138.317 1164 302051084120901 AAA2999 SE22 (1164) 127 102 27.96 302051.093 841208.793 1165 302051084123501 AAA2998 SE17 (1165) 122 112 31.38 302051.713 841235.515 1166 302051084123502 AAA2996 SE16 (1166) 70 60 29.84 302052.148 841234.927 1171 302053084115101 AAA3023 SE09 (1171) 52 51 36.99 302052.479 841151.201 1172 302053084115102 AAA3022 SE10 (1172) 133 124 39.2 302052.57 841151.771 1183 302058084105101 AAA3018 SE46 (1183) 174 171 27.41 302059.351 841051.024 1184 302058084105102 AAA3019 SE47 (1184) 45 31 27.71 302059.351 841051.024 1185 302058084105103 SE57 (1185) 25 20 29.32 302058 841051 1208 302110084110601 AAA2975 SE43 (1208) 183 174 40.3 302112 841107 1209 302110084110602 AAA2974 SE44 (1209) 120 109 41.67 302112 841107 1210 302110084110603 AAA2973 SE45 (1210) 72 55 42.39 302112 841107 1223 302114084105201 AAA3015 SE37 (1223) 240 191 32.17 302118.416 841052.563 1224 302114084105202 AAA3017 SE38 (1224) 115 101 32.73 302118.254 841052.177 1225 302114084105203 AAA3016 SE39 (1225) 73 63 32.28 302118.038 841052.56 1232 302116084120701 AAA2957 SE03 (1232) 62 54 42.02 302115.355 841203.194 1233 302116084123701 AAA2960 SE01 (1233) 71 57 20.38 302115.897 841237.083 1240 302117084113801 AAA2989 SE19 (1240) 74 52 46.88 302117.909 841137.766 1288 302141084114001 AAA2965 SE18 (1288) 62 52 59.44 302141.89 841139.696 1289 302141084123601 AAA2963 SE14 (1289) 51 47 35.44 302142.681 841234.201 1290 302141084123602 AAA2962 SE15 (1209) 102 96 34.8 302141.996 841234.172 1291 302141084123603 AAA2961 SE68 (1291) 35 35 36.28 302142.166 841234.472 1307 302150084103801 AAA3014 SE49 (1307) 55 47 33.41 302148.119 841039.432 1311 302151084111901 AAA2906 SE40 (1311) 194 164 47.2 302149.645 841120.318 1312 302151084111902 AAA2907 SE41 (1312) 134 120 47.27 302149.458 841120.009 1313 302151084111903 AAA2908 SE42 (1313) 65 43 47.84 302149.328 841120.355 1333 302157084115101 AAA2968 SE06 (1333) 102 101 50.16 302159.494 841151.288 1334 302157084115102 AAA2967 SE07 (1334) 242 214 51.11 302159.468 841151.772 1344 302203084110001 AAA2976 SE48 (1344) 95 89 54.18 302148.151 841039.476 1348 302204084102401 SE05 (1348) 122 120 40 302204 841024 1352 302208084123801 AAA2964 SE12 (1352) 55 51 46.56 302208.894 841236.845 7223 302050084110502 SE53 (7223) 100 93 27.9 302050.127 841105.812 7268 302146084110301 AAA3011 SE11N (7268) 70 55.23 302146 841103 7269 302146084110302 AAA3012 SE11S (7269) 88 55.21 302146 841103 7270 302051084120501 AAA2969 SE22A (7270) 121 31.87 302051.303 841205.68 7279 302115084120501 AAA2958 SE28 (7279) 23 42 302115.361 841205.867 7280 302051084113803 AAA2993 SE29 (7280) 22 30.21 302051.58 841138.098 7281 302049084120902 AAA3000 SE30 (7281) 12 29.64 302050.58 841208.6 7282 302118084113701 AAA2990 SE31 (7282) 22 49.16 302118.086 841137.566 7283 302101084123701 AAA2995 SE33 (7283) 17 26.95 302104.299 841237.055 7284 302051084123503 AAA2997 SE34 (7284) 22 33.77 302051.972 841235.078

# 136 Table A8. Construction Details for Southeast Sprayfield Monitor Wells [cont].

7285 302050084110501 AAA2972 SE52 (7285) 53 29.41 302050.365 841105.868 7290 302157084115104 AAA2966 SE54 (7290) 43 52.89 302159.744 841151.771 7291 302045084120902 AAA2951 SE55 (7291) 34 29.39 302044.723 841207.765 7292 302053084115103 AAA3021 SE56 (7292) 35 39.09 302052.661 841151.623 7293 302114084105204 SE58 (7293) 36 33.45 302114 841052 7294 302150084103802 AAA3013 SE59 (7294) 30 34.65 302148.06 841039.423 7295 302117084113803 AAA2988 SE60 (7295) 36 44 302117.732 841137.152 7296 302125084120601 AAA2956 SE61 (7296) 35 29 47 302210.84 841143.83 7297 302212084114402 AAA3010 SE62 (7297) 35 26 45 302210.845 841143.83 7298 302209084123601 AAA2935 SE63 (7298) 46 302209.044 841236.278 7299 302123084120901 AAA2950 SE64 (7299) 32 27 38 302117.359 841207.807 7300 302110084110604 SE65 (7300) 30 25 42.28 302110 841106 7301 302050084115101 AAA3020 SE66 (7301) 35 30 33.27 302049.772 841151.545 7302 302050084110503 AAA2970 SE67 (7302) 35 30 29 302050.312 841106.025 7303 302048084115101 AAA2909 SE69 (7303) 30 25 22.9 302047.489 841151.558 7304 302046084113803 AAA2949 SE70 (7304) 17 12 27.13 302046.81 841137.788 7836 302212084114401 SES (7836) 200 84 46.61 302210.5 841144.04 7864 302129084091701 SE75 (7864) 32 22 36.69 302129.52 840917.94 7865 302129084091801 SE76 (7865) 57 47 36.04 302129.46 840918.78 7866 302053084100401 SE77 (7866) 57 47 32.17 302053.76 841004.56 7867 302153084100402 SE78 (7867) 127 105 32.9 302053.64 841004.74 7868 302104084094801 SE79 (7868) 43 34 45.35 302104.2 840948.6 7869 302102084094801 SE80 (7869) 57 47 44.97 302102.76 840948.3 7870 302149084094201 SE81 (7870) 37 27 33.7 302149.32 840942.48 7871 302148084094101 SE82 (7871) 50 40 33.41 302148.06 840941.58 7872 302202084091901 SE83 (7872) 27 17 36.77 302202.04 840919.2 7873 302204084091901 SE84 (7873) 45 35 36.22 302204.32 840919.5 7874 302100084092401 SE85 (7874) 17 7 28.65 302100.48 840924 7875 302100084092001 SE86(7875) 127 105 30.33 302100 840920 7888 302208084114101 SE FARMERS (7888) 50 302208.478 841141.726 7889 302209084084801 MESSER WELL (7889) 40 302209.628 840848.056 7890 302236084075601 BARKER WELL (7890) 120 302236.119 840756.475

# 137 Table A9. Construction Details for Southwest Sprayfield Monitor Wells.

NWF

ID Site ID FLUID Well Name Total Depth Casing Depth Land Surface Elevation Latitude Longitude 1253 302122084194001 LS19 (1253) 80 78 39.34 302122 841940 1276 302135084202001 AAA0258 LS20 (1276) 145 145 29.24 302133.76 842019.13 1351 302206084194001 LS13 (1351) 37 35 42.2 302206 841940 1411 302233084194101 LS05 (1411) 51 33 50.37 302256 841935 1412 302234084193901 LS14 (1412) 55 53 44.52 302234 841939 1417 302235084190301 AAA0255 LS04 (1417) 53 38 44.56 302235.53 841902.33 1460 302252084192901 LS22 (1460) 268 268 48.64 302252 841929 1466 302256084185801 LS02 (1466) 75 51 52.05 302256 841858 1470 302257084191101 LS26 (1470) 185 185 55 302257 841911 1474 302258084193001 LS17 (1475) 152 152 48.73 302258 841930 1496 302301084192901 LS10 (1496) 43 41 58 302301 841929 1497 302301084192902 LS18 (1497) 160 54 58.25 302301 841929 1511 302303084190901 AAA2937 LS25 (1511) 69 54 65 302303.984 841909.125 1534 302308084185601 BOG 2-7 (1534) 36 34 63.7 302308 841856 1535 302308084195301 LS06 (1535) 45 35 40.58 302308 841953 1542 302309084185701 AAA8325 LS32 (1542) 80 58 64.05 302304.059 841857.765 1543 302309084191101 LS12 (1543) 50 48 58.36 302309 841911 1550 302310084191901 LS23 (1550) 240 240 52.48 302310 841919 1554 302313084191001 BOG 2-1 (1554) 25 23 55.57 302313 841910 1555 302313084191301 LS01 (1555) 61 45 56.32 302313 841913 1556 302313084191302 LS15 (1556) 47 45 55.6 302313 841913 1557 302313084192201 LS09 (1557) 42 40 48.54 302313 841922 1559 302314084190901 BOG 6-4 (1559) 43 41 55.57 302314 841909 1560 302314084190902 BOG 4-2 (1560) 70 60 55 302314 841909 1561 302314084192201 BOG 2-2 (1561) 22 20 69 302314 841922 1568 302315084192401 BOG 2-3 (1568) 26 24 56.6 302315 841924 1569 302315084192801 AAA2936 LS21 (1569) 248 247 58.32 302317.474 841927.976 1573 302316084191101 LS08 (1573) 49 47 57.3 302316 841911 1584 302318084192801 BOG 6-3 (1584) 52 44 60.21 302318 841928 1590 302319084220601 LS24 (1590) 260 260 105.5 302319 842206 1595 302320084192901 BOG 2-4 (1595) 48 46 55.95 302320 841929 1599 302321084193001 BOG 4-1 (1599) 89 87 57.37 302321 841930 1608 302322084193201 BOG 2-5 (1608) 49 47 54.75 302322 841932 1609 302322084193601 LS07 (1609) 35 27 37.42 302322 841936 1613 302323084191201 LS11 (1613) 40 38 51.72 302323 841912 1614 302323084193001 BOG 2-6 (1614) 50 48 61.15 302323 841930 1625 302325084191601 LS16 (1625) 67 65 58.54 302325 841916 1640 302328084192701 BOG 6-1 (1640) 292 80 67.43 302328 841927 1656 302332084191901 LS03 (1656) 104 93 69 302332 841919 7860 302314084191501 LS27 (7860) 150 54 302315 841915 7861 302314084191502 LS28 (7861) 158 145 54 302314 841915 7862 302312084191301 LS29 (7862) 250 153 54 302312 841916 7863 302206084194002 LS30 (7863) 150 148 42 302206 841940

# 138 Table A10. Construction Details for Residual Disposal Monitor Wells.

NWF ID Site ID FLUID Well Name Total Depth Casing Depth Land Surface Elevation Latitude Longitude 1512 302303084213701 SF01 (1512) 40 26 35.28 302304.129 842136.789 1663 302334084222901 SF03 (1663) 88 60 76.73 302334 842229 1685 302341084222501 SF02 (1685) 102 94 40 302341 842225 7831 302325084221701 SF04 (7831) 98 90 100.02 302325.98 842217.34 7832 302230084213101 SF05 (7832) 29 35.17 302230.12 842131.32 7833 302303084211001 SF06 (7833) 63 60.26 302303.84 842110.86 7838 302351084200701 T01 (7838) 62 72.9 302351.24 842007.62 7839 302341084195201 T02 (7839) 79 44.96 302342.96 841953.58 7840 302336084201101 T03 (7840) 31 50 302336 842011 7841 302335084193801 T04 (7841) 44 60 302335 841938 7842 302324084194501 T05 (7842) 39 40 302324 841945 7843 302323084195401 T06 (7843) 40 35.83 302322.56 841949.44 7844 302325084201001 T07 (7844) 65 40 302325 842010 7845 302327084200801 T08 (7845) 40 40 302327 842008 7846 302327084200802 T09 (7846) 16 40 302327 842008 7847 302328084201201 T10 (7847) 42 40 302328 842012 7848 302336084201301 T12 (7848) 56 50 302336 842013 7849 302335084193601 T13 (7849) 50 60 302335 841936 7850 302335084193602 T14 (7850) 45 60 302335 841936 7851 302321084194701 T15 (7851) 47 30 302321 841947 7852 302321084194702 T16 (7852) 29 30 302321 841947 7853 302320084194401 T17 (7853) 31 30 302320 841944 7854 302320084194402 T18 (7854) 16 30 302320 841944 7855 302318084194901 T19 (7855) 34 30 302318 841949 7856 302318084194902 T20 (7856) 14 50 302318 841945 7857 302328084201203 T23 (7857) 99 35.4 302325.38 842012.12 7858 302343084195101 T24 (7858) 81 70 302343 841951 7859 302343084195102 T25 (7859) 52 70 302342 841951 7879 300904084212001 YOUNG FARM (7879) 15 300903.598 842119.924 7880 300833084214401 DAVIS FARM (7880) 20 300832.997 842144.419 7881 300859084215501 COUNCIL #1 (7881) 15 300859.743 842155.49 7882 300848084215101 COUNCIL #2 (7882) 15 300848.291 842151.568 7883 301410084210601 RAKER FARM (7883) 20 301409.894 842106.477 7884 300844084172701 LAWHON WELL 15 300844.13 841727.396 7885 300901084175401 PETTY #1 (7885) 25 300900.872 841753.735 7886 300906084174101 PETTY #2 (7886) 25 300906.068 841741.803 7887 300941084172201 PETTY #3 (7887) 25 300941.748 841722.382