Literature DB >> 26050960

Storm loads of culturable and molecular fecal indicators in an inland urban stream.

Hehuan Liao1, Leigh-Anne H Krometis2, W Cully Hession2, Romina Benitez3, Richard Sawyer3, Erin Schaberg2, Emily von Wagoner2, Brian D Badgley3.   

Abstract

Elevated concentrations of fecal indicator bacteria in receiving waters during wet-weather flows are a considerable public health concern that is likely to be exacerbated by future climate change and urbanization. Knowledge of factors driving the fate and transport of fecal indicator bacteria in stormwater is limited, and even less is known about molecular fecal indicators, which may eventually supplant traditional culturable indicators. In this study, concentrations and loading rates of both culturable and molecular fecal indicators were quantified throughout six storm events in an instrumented inland urban stream. While both concentrations and loading rates of each fecal indicator increased rapidly during the rising limb of the storm hydrographs, it is the loading rates rather than instantaneous concentrations that provide a better estimate of transport through the stream during the entire storm. Concentrations of general fecal indicators (both culturable and molecular) correlated most highly with each other during storm events but not with the human-associated HF183 Bacteroides marker. Event loads of general fecal indicators most strongly correlated with total runoff volume, maximum discharge, and maximum turbidity, while event loads of HF183 most strongly correlated with the time to peak flow in a hydrograph. These observations suggest that collection of multiple samples during a storm event is critical for accurate predictions of fecal indicator loading rates and total loads during wet-weather flows, which are required for effective watershed management. In addition, existing predictive models based on general fecal indicators may not be sufficient to predict source-specific genetic markers of fecal contamination.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Fecal indicator bacteria; Loading rates; Microbial source tracking; Storm events; Urban runoff

Mesh:

Substances:

Year:  2015        PMID: 26050960     DOI: 10.1016/j.scitotenv.2015.05.098

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

Review 1.  A review on microbial contaminants in stormwater runoff and outfalls: Potential health risks and mitigation strategies.

Authors:  Warish Ahmed; Kerry Hamilton; Simon Toze; Stephen Cook; Declan Page
Journal:  Sci Total Environ       Date:  2019-07-05       Impact factor: 7.963

2.  Tracking Major Sources of Water Contamination Using Machine Learning.

Authors:  Jianyong Wu; Conghe Song; Eric A Dubinsky; Jill R Stewart
Journal:  Front Microbiol       Date:  2021-01-20       Impact factor: 5.640

3.  Land use influences stream bacterial communities in lowland tropical watersheds.

Authors:  Karina A Chavarria; Kristin Saltonstall; Jorge Vinda; Jorge Batista; Megan Lindmark; Robert F Stallard; Jefferson S Hall
Journal:  Sci Rep       Date:  2021-11-05       Impact factor: 4.379

4.  Identifying Sources of Faecal Contamination in a Small Urban Stream Catchment: A Multiparametric Approach.

Authors:  Liam J Reynolds; Niamh A Martin; Laura Sala-Comorera; Kevin Callanan; Padraig Doyle; Clare O'Leary; Paul Buggy; Tristan M Nolan; Gregory M P O'Hare; John J O'Sullivan; Wim G Meijer
Journal:  Front Microbiol       Date:  2021-06-29       Impact factor: 5.640

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.