Modeling of E. Coli Concentrations in a CSO-impacted stretch of the lower passaic river

Sarath Chandra K. Jagupilla, David A. Vaccari, Robert Miskewitz, Richard I. Hires, Tsan Liang Su, Helen Pang, Kimberly Cenno

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication86th Annual Water Environment Federation Technical Exhibition and Conference, WEFTEC 2013
Pages6256-6264
Number of pages9
ISBN (Electronic)9781510870444
StatePublished - 2013
Event86th Annual Water Environment Federation Technical Exhibition and Conference, WEFTEC 2013 - Chicago, United States
Duration: 5 Oct 20139 Oct 2013

Publication series

Name86th Annual Water Environment Federation Technical Exhibition and Conference, WEFTEC 2013
Volume10

Conference

Conference86th Annual Water Environment Federation Technical Exhibition and Conference, WEFTEC 2013
Country/TerritoryUnited States
CityChicago
Period5/10/139/10/13

Keywords

  • Combined sewer overflows
  • E. coli
  • Nash-Sutcliffe Efficiency
  • Water quality modeling

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