Literature DB >> 21840561

Contrasts in concentrations and loads of conventional and alternative indicators of fecal contamination in coastal stormwater.

Reagan R Converse1, Michael F Piehler, Rachel T Noble.   

Abstract

Fecal contamination in stormwater is often complex. Because conventional fecal indicator bacteria (FIB) cannot be used to ascertain source of fecal contamination, alternative indicators are being explored to partition these sources. As they are assessed for future use, it is critical to compare alternative indicators to conventional FIB under a range of stormwater delivery conditions. In this study, conventional FIB and fecal Bacteroides spp. were monitored throughout the duration of five storm events from coastal stormwater outfalls in Dare County, North Carolina, USA to characterize relationships among FIB concentrations, alternative fecal markers, and loading of contaminants. Water samples were collected multiple times during each storm and analyzed for Enterococcus sp. and Escherichia coli using enzymatic tests and fecal Bacteroides spp. by QPCR. Both conventional FIB and fecal Bacteroides spp. concentrations in stormwater were generally high and extremely variable over the course of the storm events. Over the very short distances between sites, we observed statistically significant spatial and temporal variability, indicating that stormwater monitoring based on single grab-samples is inappropriate. Loading of FIB and fecal Bacteroides spp. appeared to be affected differently by various hydrologic factors. Specifically, Spearman correlations between fecal Bacteroides spp. and drainage area and antecedent rainfall were lower than those between conventional FIB and these hydrologic factors. Furthermore, the patterns of fecal Bacteroides spp. concentrations generally increased over the duration of the storms, whereas E. coli and Enterococcus sp. concentrations generally followed the patterns of the hydrograph, peaking early and tailing off. Given the greater source-specificity and limited persistence of fecal Bacteroides spp. in oxygenated environments, differences in these patterns suggest multiple delivery modes of fecal contamination (i.e. landscape scouring versus groundwater discharge).
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21840561     DOI: 10.1016/j.watres.2011.07.029

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


  6 in total

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Authors:  Yawei Wang; Yanan Chen; Xiang Zheng; Chengmin Gui; Yuansong Wei
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2.  Antibiotic concentration and antibiotic-resistant bacteria in two shallow urban lakes after stormwater event.

Authors:  Songhe Zhang; Si Pang; PeiFang Wang; Chao Wang; Nini Han; Bin Liu; Bing Han; Yi Li; Kwaku Anim-Larbi
Journal:  Environ Sci Pollut Res Int       Date:  2016-02-11       Impact factor: 4.223

Review 3.  The flux and impact of wastewater infrastructure microorganisms on human and ecosystem health.

Authors:  Ryan J Newton; Jill S McClary
Journal:  Curr Opin Biotechnol       Date:  2019-04-19       Impact factor: 9.740

4.  Automated Sampling Procedures Supported by High Persistence of Bacterial Fecal Indicators and Bacteroidetes Genetic Microbial Source Tracking Markers in Municipal Wastewater during Short-Term Storage at 5°C.

Authors:  R E Mayer; J Vierheilig; L Egle; G H Reischer; E Saracevic; R L Mach; A K T Kirschner; M Zessner; R Sommer; A H Farnleitner
Journal:  Appl Environ Microbiol       Date:  2015-05-22       Impact factor: 4.792

5.  Distribution and abundance of human-specific Bacteroides and relation to traditional indicators in an urban tropical catchment.

Authors:  J P Nshimyimana; E Ekklesia; P Shanahan; L H C Chua; J R Thompson
Journal:  J Appl Microbiol       Date:  2014-02-25       Impact factor: 3.772

6.  Bacterial Indicators Are Ubiquitous Members of Pelagic Microbiome in Anthropogenically Impacted Coastal Ecosystem.

Authors:  Neža Orel; Eduard Fadeev; Katja Klun; Matjaž Ličer; Tinkara Tinta; Valentina Turk
Journal:  Front Microbiol       Date:  2022-01-17       Impact factor: 5.640

  6 in total

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