Home
Resource
Pathogen simulation using soil and water tool (SWAT) model and bacteroides source tracking technique
PDF
PDF format is widely accepted and good for printing.
Plug-in required
PDF-1(4.56 MB)
Citation & Export
View Usage Statistics
Staff View

Citation & Export
Hide

Simple citation

Niazi, Mehran. Pathogen simulation using soil and water tool (SWAT) model and bacteroides source tracking technique. Retrieved from https://doi.org/doi:10.7282/T3833R2R

Export

Click here for information about Citation Management Tools at Rutgers.

Statistics
Hide

Description

TitlePathogen simulation using soil and water tool (SWAT) model and bacteroides source tracking technique
NameNiazi, Mehran (author); Obropta, Christopher C (chair); Uchrin, Christopher G (internal member); Strom, Peter F (internal member); Miskewitz, Robert (internal member); Westendorf, Michael L (outside member); Rutgers University; Graduate School - New Brunswick
Date Created2012
Other Date2012-01 (degree)
SubjectEnvironmental Sciences, Pathogenic microorganisms--Detection--New Jersey--Salem River Watershed, Viral pollution of water--New Jersey--Salem River Watershed, Salem River Watershed (N.J.)
Extentix, 131 p. : ill., maps
DescriptionThe Upper Salem River Watershed (USRW), located in southern New Jersey, is listed as impaired for pathogens by The New Jersey Department of Environmental Protection (NJDEP) (NJDEP 2011). A 2003 Total Maximum Daily Load (TMDL) for the watershed recommended the use of pathogen source tracking to identify pathogen sources and develop a quantitative model to simulate pathogen pollution in the watershed (NJDEP 2003). This research comprises three parts: a) Fecal coliform and E. coli simulation using the Soil and Water Assessment Tool (SWAT) model in the USRW; this is the first study to conduct sensitivity analysis, calibration and validation of the SWAT model for two widely used pathogen indicators for multiple sampling stations in one watershed. The results of the sensitivity analysis indicate that pathogen input is the most sensitive parameter in the simulation of both indicators. Fecal coliform and E. coli simulation at five of six sampling stations generally showed good calibration and validation based on Nash-Sutcliffe efficiency values (0.04 to 0.71). b) Investigation of temperature effects on the persistence of bovine-Bacteroides; the primary goal of this part of the research was to identify the decay rate of bovine- Bacteroides in stream water at 4°C, 20°C and 30°C. The decay constant of bovine-Bacteroides was calculated between 0.01 h-1 in the mesocosm incubated at 4°C to 0.05 h-1 in the mesocosm at 30°C. Comparison of this study with other similar studies indicates that as temperature increased, a greater discrepancy in compared constant values was observed. c) Pathogen source tracking was done using a multiple linear regression analysis in the USRW. The primary goals of this research phase were to use a bovine-Bactreroides source tracking technique to investigate if bovine feces are a contributing pathogen source to the river system and to identify the spatial distribution of bovine pathogen discharge to the USRW. The results of the simulated model showed agreement with the potential bovine distribution sources (i.e., animal feeding facilities). A probability of occurrence map of bovine derived pathogens was also developed to spatially identify which sub-watersheds have greater likelihood of pathogen contributions from bovine sources.
NotePh.D.
NoteIncludes bibliographical references
Noteby Mehran Niazi
Genretheses, ETD doctoral
Persistent URLhttps://doi.org/doi:10.7282/T3833R2R
Languageeng
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
Version 8.5.5
Rutgers University Libraries - Copyright ©2024