Literature DB >> 23021518

Characterization of nonpoint source microbial contamination in an urbanizing watershed serving as a municipal water supply.

Jakob G Rowny1, Jill R Stewart.   

Abstract

Inland watersheds in the southeastern United States are transitioning from agricultural and forested land uses to urban and exurban uses at a rate greater than the national average. This study sampled creeks representing a variety of land use factors in a rapidly urbanizing watershed that also serves as a drinking water supply. Samples were collected bimonthly under dry-weather conditions and four times during each of three storm events and assessed for microbial indicators of water quality. Concentrations of fecal indicator bacteria (FIB) including fecal coliforms and Escherichia coli were measured using standard membrane filtration techniques. Results showed that FIB concentrations varied between 10(0) and 10(4) colony forming units (CFU) per 100 mL. An analysis of variance (ANOVA) showed that FIB were generally higher in more developed watersheds (p < 0.01). Concentrations were also significantly greater during storm events than during dry-weather conditions (p < 0.02), although concentrations demonstrated both intra and inter-storm variability. These results indicate that the magnitude of microbial contamination is influenced by intensity of watershed development, streamflow and antecedent precipitation. Dry-weather FIB loads showed considerable seasonal variation, but the average storm event delivered contaminant loads equivalent to months of dry-weather loading. Analysis of intra-storm loading patterns provided little evidence to support "first-flush" loading of either FIB, results that are consistent with environmental reservoirs of FIB. These findings demonstrate that single sampling monitoring efforts are inadequate to capture the variability of microbial contaminants in a watershed, particularly if sampling is conducted during dry weather. This study also helps to identify timing and conditions for public health vulnerabilities, and for effective management interventions.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23021518     DOI: 10.1016/j.watres.2012.09.009

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  5 in total

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Journal:  Appl Environ Microbiol       Date:  2016-05-31       Impact factor: 4.792

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Authors:  Monyque Palagano da Rocha; Priscila Leocadia Rosa Dourado; Claudia Andrea Lima Cardoso; Liliam Silva Cândido; Joelson Gonçalves Pereira; Kelly Mari Pires de Oliveira; Alexeia Barufatti Grisolia
Journal:  Environ Monit Assess       Date:  2018-01-05       Impact factor: 2.513

3.  The influence of industrial and agricultural waste on water quality in the Água Boa stream (Dourados, Mato Grosso do Sul, Brazil).

Authors:  Monyque Palagano da Rocha; Priscila Leocadia Rosa Dourado; Mayara de Souza Rodrigues; Jorge Luiz Raposo; Alexeia Barufatti Grisolia; Kelly Mari Pires de Oliveira
Journal:  Environ Monit Assess       Date:  2015-06-19       Impact factor: 2.513

4.  High levels of sewage contamination released from urban areas after storm events: A quantitative survey with sewage specific bacterial indicators.

Authors:  Hayley T Olds; Steven R Corsi; Deborah K Dila; Katherine M Halmo; Melinda J Bootsma; Sandra L McLellan
Journal:  PLoS Med       Date:  2018-07-24       Impact factor: 11.069

5.  A novel approach for assessing watershed susceptibility using weighted overlay and analytical hierarchy process (AHP) methodology: a case study in Eagle Creek Watershed, USA.

Authors:  Fadhil K Jabbar; Katherine Grote; Robert E Tucker
Journal:  Environ Sci Pollut Res Int       Date:  2019-09-06       Impact factor: 4.223

  5 in total

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