Literature DB >> 18057638

Escherichia coli in urban stormwater: explaining their variability.

D T McCarthy1, V G Mitchell, A Deletic, C Diaper.   

Abstract

The development of a model that predicts the levels of microorganisms in urban stormwater will aid in the assessment of health risks when using stormwater for both recreational uses and as an alternate water resource. However, the development of such a model requires an understanding of the dominant processes that influence the behaviour of microorganisms in urban systems. Using simple and multiple regression analyses this paper determines the dominant processes which affect the inter-event variability of the microbial indicator Escherichia coli (E. coli ) in four urbanised catchments. The results reveal that a number of antecedent climatic conditions, together with rainfall intensity, can significantly explain the inter-event variation in wet weather E. coli levels.

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Year:  2007        PMID: 18057638     DOI: 10.2166/wst.2007.752

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  2 in total

1.  Organism Detection in Permeable Pavement Parking Lot Infiltrates at the Edison Environmental Center, New Jersey.

Authors:  Ariamalar Selvakumar; Thomas P O'Connor
Journal:  Water Environ Res       Date:  2017-05-23       Impact factor: 1.946

2.  Evaluation of Techniques for Measuring Microbial Hazards in Bathing Waters: A Comparative Study.

Authors:  Christelle Schang; Rebekah Henry; Peter A Kolotelo; Toby Prosser; Nick Crosbie; Trish Grant; Darren Cottam; Peter O'Brien; Scott Coutts; Ana Deletic; David T McCarthy
Journal:  PLoS One       Date:  2016-05-23       Impact factor: 3.240

  2 in total

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