1 Using Historical Data to Assess Potential Fecal Coliform Contribution During Storms at Kensico Reservoir: A Case Study Christian Pace, NYCDEP and Kerri Alderisio, NYCDEP NYC Watershed/Tifft Science and Technical Symposium Thayer Hotel West Point, NY September 19, 2013
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Christian Pace, NYCDEP and Kerri Alderisio, NYCDEP
Using Historical Data to Assess Potential Fecal Coliform Contribution During Storms at Kensico Reservoir: A Case Study. Christian Pace, NYCDEP and Kerri Alderisio, NYCDEP. NYC Watershed/Tifft Science and Technical Symposium Thayer Hotel West Point, NY September 19, 2013. - PowerPoint PPT Presentation
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Using Historical Data to Assess Potential Fecal Coliform Contribution During Storms at Kensico
Reservoir: A Case Study
Christian Pace, NYCDEP and Kerri Alderisio, NYCDEP
NYC Watershed/Tifft Science and Technical Symposium Thayer Hotel West Point, NY September 19, 2013
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Presentation Outline
Kensico Reservoir Effect of storms on concentrationCase Study: TS Irene / LeeHistorical FC dataLoading estimate from flow and concentrationCompare low flow + storm loads to other
HDR/Gannett Fleming (JV) contracted to : - Review events and DEP operational response
- Create fecal coliform loading estimate for these storms
- Assess function of BMPs during the storm
- Make recommendations on future response measures and program enhancements to protect WQ
Final Summary Report – May 2012
Tropical Storms Irene and Lee
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Alderisio, Kerri
i still think you should do yours first and then say this and then compare
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Tropical Storms Irene and Lee
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Alderisio, Kerri
i would move this later with previous slide
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Tropical Storms Irene and Lee
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80,000
60,000
40,000
20,000
JV used 2 approaches to “fill in” daily concentration data for FC load estimates:
1. Interpolated concentrations between samples & geometric means for ungauged areas
2. Missing values set to the median concentration from historical data (Jul ‘99 – Nov ‘11)
MB-1 Hydrograph from Aug 26 – Sept 13, 2011
FC C
once
ntra
tions
(FC
/ 10
0mL)
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Kensico Input Loading Estimates
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Arithmetic Mean Estimate 249.0 trillion FC
Median Estimate 162.0 trillion FC
JV Median Estimate61 trillion FC
JV Interpolated Estimate170 trillion FC
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Summary Many ways to do loading calculations for a complex
system such as Kensico Goal to estimate worst case scenario during timeframe Separating historical samples by storm size allowed us
to differentiate loading calculations by storm size Use of “0” for non-detect samples did not significantly
affect mean or median concentrations Worst case load estimate = 249.0 trillion FC Sample sizes:
DEP 132 - 549 samples from each siteJV 58 - 184 samples from each site
DEP estimates:High estimates are almost 1.5X JV highLow estimate is more than 2.6X JV low
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Acknowledgements
WWQO East of Hudson Field Staff
Kensico Laboratory Staff
Kurt Gabel and James Alair
Kelly Seelbach
Glenn Horton and Jim Machung
*2012. HDR Gannett Fleming. Kensico Reservoir Watershed Assessment, Fecal Coliform Occurrence, and Operation Response During and After Tropical Storms Irene and Lee – Final Summary Report. May 2012.