Faecal pollution source identification in an urbanising catchment using antibiotic resistance profiling, discriminant analysis and partial least squares regression
Faecal pollution source identification in an urbanising catchment using antibiotic resistance profiling, discriminant analysis and partial least squares regression
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DOI：
10.1016/j.watres.2008.12.017
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发表时间：
2009-03-01
期刊：
影响因子：
12.8
通讯作者：
Goonetilleke, A.
中科院分区：
文献类型：
--
作者：
Carroll, S. P.;Dawes, Les;Goonetilleke, A.
城市化进程的加快和土地利用方式的变化对自然水资源的质量产生了不利影响。使用传统的水质监测技术往往难以确定具体的污染源。这对发展保护自然水资源的适当管理技术是一个重大的限制。因此，确定污染源及其所在地点的替代方法是必要的。在这项研究中，对澳大利亚昆士兰州一个城市化流域的1005个已知大肠杆菌源分离物建立了抗生素耐药性模式（ARP）。这些分离物来自人类和非人类（家畜、家畜和野生）。判别分析（DA）用于区分源分离株的ARP，并确定粪便污染源。然后对确定的人类源分离物使用偏最小二乘（PLS）回归，将其位置与集水区内指定的采样位置相关联。结果表明，农村地区的大部分粪便污染是非人类的。然而，在使用现场污水处理系统的城市化地区，人类分离物的百分比显著增加。PLS回归能够建立预测模型，表明来自城市地区的人类源分离物具有高度相关性。研究结果证实了利用ARP进行地表水粪便污染源跟踪，并预测其源头的可行性。(C) 2008 Elsevier Ltd版权所有。
Increasing urbanisation and changes in land use lead 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 Escherichia 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 confirm the feasibility of using ARP for source tracking faecal contamination in surface waters, as well as predicting their point of origin. (C) 2008 Elsevier Ltd. All rights reserved.