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Evaluation of the soil and water assessment tool (SWAT) for simulating E. coli concentrations at the watershed-scale

机译:水土水评估工具(SWAT)在流域尺度下模拟大肠杆菌浓度的评价

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摘要

Water quality management at the watershed level requires a framework to identify sources, apportion water quality risks and develop mitigation strategies to reduce health risks. Watershed-scale models have been used as a support tool to understand the sources, fate and transport of fecal bacteria and pathogens in the environment The Soil and Water Assessment Tool (SWAT) model was applied in this study to understand the sources and drivers of microbial water quality in the Clouds Creek watershed in Georgia, USA. A criterion to evaluate the performance of the SWAT bacterial model was also developed in this study using the Nash-Sutcliffe Efficiency (NSE) performance measure. The SWAT model was successfully calibrated and validated for flow with Nash-Sutcliffe Efficiency (NSE) of 0.81 and 0.55. respectively. Escherichia coli (E. coli) predictions were good with NSE of 0.32 and 0.34 for the calibration and validation timeframes, respectively. Based on the criteria developed in this study, SWAT bacterial model for E. coli and fecal coliform can be judged as "satisfactory" when NSE > 0.20. The contribution of sources followed this order: in-stream cattle manure deposition > cattle manure application > poultry manure application > septic systems > wildlife manure, suggesting that a reduction in livestock access to streams would be the most effective approach to reduce fecal bacterial loads in this watershed and others impacted by fecal contamination. Finally, our results suggest that the SWAT model is capable of simulating E. coli dynamics in the Clouds Creek watershed and can provide insights into source impacts for risk management.
机译:流域水平的水质管理需要框架来识别来源,分摊水质风险,并制定减缓策略,以降低健康风险。流域模型已被用作支持工具,以了解粪便细菌的来源,命运和粪便,病原体在环境中应用了土壤和水评估工具(SWAT)模型,以了解微生物的来源和司机水质在云彩小河流域在乔治亚,美国。在本研究中也开发了评估SWAT细菌模型的性能的标准,采用纳什·萨福克夫效率(NSE)性能措施在本研究中开发出来。 SWAT模型已成功校准并验证,纳什Sutcliffe效率(NSE)为0.81和0.55。分别。对于校准和验证时间帧,Escherichia Coli(大肠杆菌)预测良好的NSE为0.32和0.34。基于本研究开发的标准,当NSE> 0.20时,大肠杆菌和粪便大肠杆菌的SWAT细菌模型可以被判断为“令人满意”。消息人士的贡献遵循此订单:流动牛粪沉积>牛粪应用>家禽粪便应用>腐败系统>野生动物粪便,表明牲畜进入流的牲畜是最有效的降低粪便细菌荷载的方法这个流域和其他由粪便污染影响的人。最后,我们的结果表明,SWAT模型能够在云溪流流域模拟大肠杆菌动态,并可以为风险管理的源影响提供洞察。

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  • 来源
    《The Science of the Total Environment》 |2020年第1期|140669.1-140669.11|共11页
  • 作者单位

    Oak Ridge Institute for Science and Education. P.O. Box 117 Oak Ridge. TN 37831 USA U.S.EPA Office of Research and Development. Center for Environmental Measurement and Modeling. 109 T. W. Alexander Dr. RTP NC 27709 USA;

    Oak Ridge Institute for Science and Education. P.O. Box 117 Oak Ridge. TN 37831 USA;

    U.S.EPA Laboratory of Services & Applied Sciences Division 980 College Station Rd Athens CA 30605 USA;

    U.S.EPA Laboratory of Services & Applied Sciences Division 980 College Station Rd Athens CA 30605 USA;

    U.S.EPA Office of Research and Development. Center for Environmental Measurement and Modeling. 109 T. W. Alexander Dr. RTP NC 27709 USA;

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