TY - GEN
T1 - Modeling of E. Coli Concentrations in a CSO-impacted stretch of the lower passaic river
AU - Jagupilla, Sarath Chandra K.
AU - Vaccari, David A.
AU - Miskewitz, Robert
AU - Hires, Richard I.
AU - Su, Tsan Liang
AU - Pang, Helen
AU - Cenno, Kimberly
N1 - Publisher Copyright:
Copyright © 2013 Water Environment Federation. All Rights Reserved.
PY - 2013
Y1 - 2013
N2 - Escherichia coli (E. coli) concentrations in a combined sewer overflow (CSO) impacted stretch of the lower Passaic River were modeled using the Water quality Analysis and Simulation Program (WASP). E. coli data were collected over nine sampling events three of which were conducted in dry weather and six during rain events with CSO discharges. Stormwater runoff was simulated using a stormwater management model (SWMM), CSO discharges using Infoworks stormwater management model (Infoworks SWMM), and boundary concentrations using symbolic regression. The E. coli data were split into calibration and validation datasets for the purpose of modeling. Bacteria decay rate was used maximize the Nash-Sutcliffe Efficiency (NSE). A decay rate of 0.2 per day performed best on the calibration dataset with an NSE of 0.61. The validation NSE for the same decay rate was 0.45. The NSE values for individual events ranged from 0.34 to 0.91. The range for individual sites was 0.23 to 0.70.
AB - Escherichia coli (E. coli) concentrations in a combined sewer overflow (CSO) impacted stretch of the lower Passaic River were modeled using the Water quality Analysis and Simulation Program (WASP). E. coli data were collected over nine sampling events three of which were conducted in dry weather and six during rain events with CSO discharges. Stormwater runoff was simulated using a stormwater management model (SWMM), CSO discharges using Infoworks stormwater management model (Infoworks SWMM), and boundary concentrations using symbolic regression. The E. coli data were split into calibration and validation datasets for the purpose of modeling. Bacteria decay rate was used maximize the Nash-Sutcliffe Efficiency (NSE). A decay rate of 0.2 per day performed best on the calibration dataset with an NSE of 0.61. The validation NSE for the same decay rate was 0.45. The NSE values for individual events ranged from 0.34 to 0.91. The range for individual sites was 0.23 to 0.70.
KW - Combined sewer overflows
KW - E. coli
KW - Nash-Sutcliffe Efficiency
KW - Water quality modeling
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M3 - Conference contribution
AN - SCOPUS:84969409431
T3 - 86th Annual Water Environment Federation Technical Exhibition and Conference, WEFTEC 2013
SP - 6256
EP - 6264
BT - 86th Annual Water Environment Federation Technical Exhibition and Conference, WEFTEC 2013
T2 - 86th Annual Water Environment Federation Technical Exhibition and Conference, WEFTEC 2013
Y2 - 5 October 2013 through 9 October 2013
ER -