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Faecal pollution source identification in an urbanising catchment using antibiotic resistance profiling, discriminant analysis and partial least squares regression

Carroll, Steven Paige, Dawes, Les A., Hargreaves, Megan, & Goonetilleke, Ashantha (2009) Faecal pollution source identification in an urbanising catchment using antibiotic resistance profiling, discriminant analysis and partial least squares regression. Water Research, 43(5), pp. 1237-1246.

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Abstract

Increasing urbanisation and changes in land use leads to adverse impacts on the quality of natural water resources. The specific sources of contamination are often difficult to identify using conventional water quality monitoring techniques. This acts as a significant constraint to the development of appropriate management techniques to protect natural water resources. Consequently, alternative means of identifying pollutant sources and their locality are necessary. In this study, Antibiotic Resistance Patterns (ARP) were established for a library of 1005 known E. coli source isolates obtained from human and non-human (domesticated animals, livestock and wild) sources in an urbanising catchment in Queensland State, Australia. Discriminant Analysis (DA) was used to differentiate between the ARP of source isolates and to identify the sources of faecal contamination. Partial Least Square (PLS) regression was then utilised on identified human source isolates to correlate their locality with specified sampling locations within the catchment. The resulting ARP DA indicated that a majority of the faecal contamination in the rural areas was non-human. However, the percentage of human isolates increased significantly in urbanised areas using onsite systems for wastewater treatment. The PLS regression was able to develop predictive models which indicated a high correlation of human source isolates from the urban area. The study results confirms the feasibility of using ARP for source tracking faecal contamination in surface waters, as well as predicting their point of origin.

Impact and interest:

11 citations in Scopus
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11 citations in Web of Science®

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ID Code: 19108
Item Type: Journal Article
Keywords: Onsite Systems, E. coli, Antibiotic Resistance Analysis, Discriminant Analysis, Partial Least Squares Regression
DOI: 10.1016/j.watres.2008.12.017
ISSN: 0043-1354
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ENVIRONMENTAL ENGINEERING (090700) > Environmental Engineering Modelling (090702)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ENVIRONMENTAL ENGINEERING (090700) > Environmental Engineering Design (090701)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > School of Life Sciences
Past > Schools > School of Urban Development
Copyright Owner: Copyright 2009 Elsevier Ltd
Deposited On: 25 Mar 2009 08:26
Last Modified: 29 Feb 2012 23:52

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