Multimodel, multiple watershed examination of in-stream bacteria modeling

Jeffrey J. Iudicello, David A. Chin

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Excessive bacteria levels are a major water-quality problem in U.S. water bodies, and this study looked at the use of watershed-scale computer models to predict in-stream bacteria concentrations. The study site was the Little River Experimental Watershed (LREW) in Tifton, Georgia, and fecal coliform fate and transport models were built for four of the LREW subwatersheds over the period January 1996-December 2002. Three models were examined: HSPF, the soil and water assessment tool (SWAT), and the characteristic concentration (CC) model based on the principles of hydrograph separation. It was found that the most sensitive HSPF and SWAT water-quality parameters were associated with the in-stream bacteria processes, whereas parameters relating to terrestrial activity varied from sensitive to completely insensitive. Model performance was evaluated using the Nash-Sutcliffe statistic, and HSPF, SWAT, and the CC model performed comparably while showing distinct performance capabilities.

Original languageEnglish
Pages (from-to)719-727
Number of pages9
JournalJournal of Environmental Engineering (United States)
Volume139
Issue number5
DOIs
StatePublished - May 1 2013

Fingerprint

Watersheds
Bacteria
watershed
bacterium
modeling
Water
Soils
Water quality
Rivers
water quality
fecal coliform
hydrograph
river
Statistics
soil and water assessment tool

Keywords

  • Bacteria
  • Fecal coliform
  • HSPF
  • Modeling
  • Soil and water assessment tool (SWAT)
  • Water quality

ASJC Scopus subject areas

  • Environmental Engineering
  • Environmental Science(all)
  • Environmental Chemistry
  • Civil and Structural Engineering

Cite this

Multimodel, multiple watershed examination of in-stream bacteria modeling. / Iudicello, Jeffrey J.; Chin, David A.

In: Journal of Environmental Engineering (United States), Vol. 139, No. 5, 01.05.2013, p. 719-727.

Research output: Contribution to journalArticle

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