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PCB and PBDE Loads in PCB and PBDE Loads in Coyote Creek:Coyote Creek:
Conceptual models and Estimates of Conceptual models and Estimates of Regional Small Tributaries LoadsRegional Small Tributaries Loads
Lester McKee, John Oram and, Jon LeatherbarrowLester McKee, John Oram and, Jon Leatherbarrow
Sources Pathways and Loadings WorkgroupSources Pathways and Loadings Workgroup
November 13November 13thth 2006 2006
San Francisco Estuary Institute
Item #3
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HistoryHistory USGS dischargeUSGS discharge
WY 1999 – 2006 (ongoing)WY 1999 – 2006 (ongoing)
USGS suspended sediment dataUSGS suspended sediment data WY 2005WY 2005 WY 2006WY 2006
Regional Board TMDL laboratory funding Regional Board TMDL laboratory funding ($10k)($10k) WY 2005 PCB, PBDE, HgT, SSC, organic carbonWY 2005 PCB, PBDE, HgT, SSC, organic carbon
SFEI field team able to grab 7 samples during SFEI field team able to grab 7 samples during wading stage only during breaks from wading stage only during breaks from Guadalupe R. samplingGuadalupe R. sampling
Item #3
San Francisco Estuary Institute
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Field LocationField LocationItem #3
San Francisco Estuary Institute
Coyote Ck. at Hwy 237USGS 11172175
Guadalupe R. at Hwy 101USGS 11169026
4
MethodsMethods
Sampling Location
USGS Gage Shelter
Item #3
5
MethodsMethods Grab samples from mid depth at wading Grab samples from mid depth at wading
stagesstages
Regression between instantaneous SSC Regression between instantaneous SSC and PCB/PBDE concentrationsand PCB/PBDE concentrations
USGS 15 minute dischargeUSGS 15 minute discharge
USGS 15 minute SSC estimates from USGS 15 minute SSC estimates from GCLASSGCLASS
Item #3
San Francisco Estuary Institute
6
Results - ConcentrationsResults - ConcentrationsItem #3
San Francisco Estuary Institute
Sample SSC (mg/L) PCB (pg/L) PBDE (pg/L)
CC40 - 3,349 14,889
CC70 51 2,758 12,896
CC80 228 3,499 9,386
CC90 77 5,599 15,949
CC91 110 10,353 36,623
CC92 196 2,660 7,138
CC100 337 6,124 12,831
min - 2,660 7,138
max - 10,353 36,623
mean - 4,906 15,673
FWMC* - 9,305 29,852
* Based on annual load
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Regression EstimatorsRegression EstimatorsPCBsPCBs
Item #3
San Francisco Estuary Institute
y = 17x
R2 = 0.89
y = 82x
R2 = 0.86
0
3,000
6,000
9,000
12,000
0 50 100 150 200 250 300 350 400
Suspended Sediment (mg/L)
To
tal P
CB
s (
pg
/L) Lower
Upper
8
Regression EstimatorsRegression EstimatorsPBDEsPBDEs
Item #3
San Francisco Estuary Institute
y = 286x
R2 = 0.81
y = 39x
R2 = 0.970
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
0 50 100 150 200 250 300 350
SSC (mg/L)
PB
DE
(p
g/L
)
Lower
Upper
9
ProblemProblem How to we apply the two populations of How to we apply the two populations of
data (regression estimators) to published data (regression estimators) to published USGS daily sediment records?USGS daily sediment records?
Solution: Obtain 15 minute recordsSolution: Obtain 15 minute records
ErrorsErrors USGS accurately measures 15-minute USGS accurately measures 15-minute
dischargedischarge USGS only estimates 15 minute SSC based on USGS only estimates 15 minute SSC based on
rating relationships between flow and about rating relationships between flow and about 100 real measurements of SSC100 real measurements of SSC
San Francisco Estuary Institute
10
Results - LoadsResults - LoadsItem #3
San Francisco Estuary Institute
2004 2005
Oct Nov Dec Jan Feb Mar Apr Total
Flow (Mm3) 3.3 1.3 4.9 6.9 10.3 13.1 7.5 47
PCB (g) 79 2 93 33 114 101 16 439
PBDE (g) 259 7 303 107 359 325 48 1,409
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Historic FlowHistoric FlowItem #3
0
50
100
150
200
19
71
19
73
19
75
19
77
19
79
19
81
19
83
19
85
19
87
19
89
19
91
19
93
19
95
19
97
19
99
20
01
20
03
20
05
Water Year
Flo
w (
Mm
3 )
y = 0.7211x
R2 = 0.9206
0
100
200
300
400
500
600
0 200 400 600 800
Guadalupe R. at Hwy 101 (cfs)
Co
yote
Ck.
at H
wy
23
7 (
cfs)
Average = 41 Mm3
MeasuredEstimated
San Francisco Estuary Institute
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Average Load Estimate – Average Load Estimate – MethodMethod
PCBPCB
Item #3
San Francisco Estuary Institute
y = 1.4612x2.8603
R2 = 0.94
y = 0.1565x2.606
R2 = 0.68
0.1
1
10
100
1000
10000
1 10 100
Monthly Flow (Mm3)
PC
B (
g/M
on
th)
13
Average Load Estimate – Average Load Estimate – MethodMethodPBDEPBDE
Item #3
San Francisco Estuary Institute
y = 4.4468x2.9083
R2 = 0.94
y = 0.4449x2.6514
R2 = 0.67
0.1
1
10
100
1000
10000
1 10 100
Flow (Mm3)
PB
DE
(g
/Mo
nth
)
14
Estimated Average LoadsEstimated Average Loads
Using the range in flow experienced from Using the range in flow experienced from WY 1971 to WY 2006 we estimate the WY 1971 to WY 2006 we estimate the following:following:
Item #3
San Francisco Estuary Institute
Flow
(Mm3)PCB(kg)
PBDE(kg)
Minimum ~2 ~0 ~0
Maximum ~174 ~12 ~40
Average ~41 ~1.5 ~5
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Guadalupe R.Guadalupe R.
Estimate of Average LoadsEstimate of Average Loads
Item #3
San Francisco Estuary Institute
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MethodsMethods
Develop a regression estimator using Develop a regression estimator using monthly flow and monthly loadmonthly flow and monthly load
Obtain historic monthly flow records for Obtain historic monthly flow records for the period 1971 – 2006the period 1971 – 2006
Estimate monthly loadsEstimate monthly loads
Calculate averageCalculate average
Item #3
San Francisco Estuary Institute
17
Guadalupe Regression Guadalupe Regression EstimatorsEstimators
Item #3
y = 7.2596x1.2475
R2 = 0.80
0
200
400
600
800
1,000
1,200
0 10 20 30 40 50 60
Flow (Mm3)
PC
B (
g/M
on
th)
y = 18.082x1.2712
R2 = 0.89
0
500
1,000
1,500
2,000
2,500
3,000
0 10 20 30 40 50 60
Flow (Mm3)
PB
DE
(g
/Mo
nth
)
San Francisco Estuary Institute
18
Estimated Average LoadsEstimated Average Loads
Using the range in flow experienced from Using the range in flow experienced from WY 1971 to WY 2006 we estimate the WY 1971 to WY 2006 we estimate the following:following:
Item #3
Flow(Mm3)
PCB(kg)
PBDE(kg)
Minimum 2.8 ~0 ~0
Maximum 247.8 ~5 ~13
Average 58.2 ~1 ~2.5
San Francisco Estuary Institute
19
Coyote – Guadalupe Coyote – Guadalupe ComparisonComparison
Are the estimates Are the estimates reasonable?reasonable?
PBDE(kg)
PCB(kg) Ratio
Coyote Ck. 5 1.5 3.3
Guadalupe R. 2.5 1 2.5
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Area(below Dams) Ind Com Res
Open/Ag
PCBAverage
PCBMaximum
Coyote Ck. (km2) 335 15 16 83 222 3.41 26.75
Percentage (%)Percentage (%) 100 4 5 25 66
Guadalupe R. (km2) 236 30 30 137 38 0.26 1.22
Percentage (%)Percentage (%) 100 13 13 58 16
(mg/kg)
San Francisco Estuary Institute
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Estuary Estuary Interface Interface
Pilot StudyPilot Study
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Leatherbarrow et al., 2002
CoyoteCreek
GuadalupeRiver
Water (pg/L) Wet 7,000 6,100
Dry 4,000 7,169
Sediment (ug/kg) Wet 45 43
Dry 46 31
San Francisco Estuary Institute
21
Estimating Total Estimating Total Regional Small Regional Small
Tributaries Loads:Tributaries Loads:
Extrapolation methods Extrapolation methods in the absence of in the absence of hydrologic modelshydrologic models
Item #3
San Francisco Estuary Institute
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MethodsMethods(PCBs and PBDEs)(PCBs and PBDEs)
1.1. Add Guadalupe and Coyote estimated Add Guadalupe and Coyote estimated average annual loads together and average annual loads together and scale by areascale by area
a)a) Total areaTotal areab)b) Excluding area above reservoirsExcluding area above reservoirs
2.2. Assume most load is associated with Assume most load is associated with urban area and scale the sum of urban area and scale the sum of Guadalupe and Coyote estimated Guadalupe and Coyote estimated average annual loads by an urban land average annual loads by an urban land use factor.use factor.
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San Francisco Estuary Institute
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MethodsMethods(PCBs only)(PCBs only)
3. 3. Use the sum of Coyote+Guadalupe Use the sum of Coyote+Guadalupe average loads to scale (calibrate) average loads to scale (calibrate) land use specific estimates of PCB land use specific estimates of PCB export derived by an extensive export derived by an extensive literature review and mass balance literature review and mass balance model (SFEI Prop 13). Apply these model (SFEI Prop 13). Apply these to land use statistics below to land use statistics below reservoirs for the Bay Area (Davis reservoirs for the Bay Area (Davis et al., 2000).et al., 2000).
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San Francisco Estuary Institute
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MethodsMethods(PBDEs only)(PBDEs only)
4. 4. Scale PBDE loads to PCB loads Scale PBDE loads to PCB loads using a ratio of 3:1using a ratio of 3:1
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San Francisco Estuary Institute
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Statistics for Statistics for CalculationsCalculations
Item #3
Area(km2)
Ind(km2)
Com(km2)
Res(km2)
Open/Ag(km2)
Guadalupe R. 414 30 30 137 216
Coyote Ck. 826 15 16 83 713
Bay Area Small Tributaries 6,650 374 404 1,726 4,147
AreaExcludingReservoirs
(km2)Ind
(km2)Com(km2)
Res(km2)
Open/Ag(km2)
Guadalupe R. 236 30 30 137 38
Coyote Ck. 336 16 15 83 222
Bay Area Small Tributaries 5,050 374 404 1,726 2,547
San Francisco Estuary Institute
26
Prop 13 export Prop 13 export estimatesestimates
(Ref: Mangarella et al., (Ref: Mangarella et al., 2006)2006)
Item #3
San Francisco Estuary Institute
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Scaled (Calibrated) Unit Scaled (Calibrated) Unit ExportsExports
Item #3
Land UseUnit Loading(g/km2/yr)
Unit LoadingNormalized
toOpen Space
Industrial 23.1 16
Commercial 9.6 7
Residential 2.9 2
Open/Agriculture 1.4 1
San Francisco Estuary Institute
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Results Results Annual Average Loads Estimates for Annual Average Loads Estimates for
Total Bay Area Small TributariesTotal Bay Area Small Tributaries
Item #3
MethodPCB(kg)
Range*(kg)
PBDE(kg)
Range*(kg)
1a Area Ratio 13 40
1b Area Ratio (excl. reservoirs) 22 66
2 Area Ratio (urban only) 20 60
3 Calibrated unit export 21 63
Best estimate** 21 11-42 63 32-126
* Assumed - 50% error + 100% error based author’s hypothesis that Coyoteand Guadalupe are not representative of other Bay Area urban watershedsdue to large size and relatively low connectivity / drainage density ** Authors judgment
San Francisco Estuary Institute