Pathogen source identification and characterization by designed sampling

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

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

2 Scopus citations

Abstract

Nine sampling events, in dry and wet weather, were executed in a combined sewer overflow impacted stretch of the lower Passaic River at Paterson, New Jersey. Multiple water quality parameters were measured at 18 sites which included in-stream sites and representative locations at combined sewer outfalls, stormwater outfalls, and tributaries. The data was analyzed using ttests and simple linear regression. Analysis of dry weather samples indicated all tributaries in the study area act to increase in-stream bacteria concentrations. Bacteria concentrations were higher at 6 AM than at 10 AM or 1 PM, possibly due to increased bacteria decay due to sunlight and temperature or unknown sources. Total suspended solids concentration was highly correlated with bacteria concentration at shallow sites, suggesting the possibility of sediment resuspension as a possible source at these sites. DO is a significant predictor variable at all sites except the upstream boundary suggesting sewage is a contributor.

Original languageEnglish
Title of host publicationWEFTEC 2012 - 85th Annual Technical Exhibition and Conference
Pages6562-6568
Number of pages7
ISBN (Electronic)9781510870437
DOIs
StatePublished - 2012
Event85th Annual Water Environment Federation Technical Exhibition and Conference, WEFTEC 2012 - New Orleans, United States
Duration: 29 Sep 20123 Oct 2012

Publication series

NameWEFTEC 2012 - 85th Annual Technical Exhibition and Conference
Volume10

Conference

Conference85th Annual Water Environment Federation Technical Exhibition and Conference, WEFTEC 2012
Country/TerritoryUnited States
CityNew Orleans
Period29/09/123/10/12

Keywords

  • Hypothesis Testing
  • Pathogen Indicators
  • Simple Linear Regression
  • Total Maximum Daily Load
  • Water Quality Sampling

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