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评价流域尺度下土壤和水评估工具(SWAT)模拟大肠杆菌浓度的能力。

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

机构信息

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.

出版信息

Sci Total Environ. 2020 Dec 1;746:140669. doi: 10.1016/j.scitotenv.2020.140669. Epub 2020 Jul 2.

Abstract

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.

摘要

流域层面的水质管理需要一个框架来识别污染源,分配水质风险,并制定减轻策略以降低健康风险。流域尺度模型已被用作支持工具,以了解环境中粪便细菌和病原体的来源、归宿和迁移。本研究应用土壤和水评估工具(SWAT)模型来了解美国佐治亚州Clouds Creek 流域微生物水质的来源和驱动因素。本研究还开发了一种标准,用于使用纳什-萨克利夫效率(NSE)性能度量来评估 SWAT 细菌模型的性能。SWAT 模型成功地进行了校准和验证,流量的纳什-萨克利夫效率(NSE)分别为 0.81 和 0.55。大肠杆菌(E. coli)预测结果良好,校准和验证时间框架的 NSE 分别为 0.32 和 0.34。根据本研究制定的标准,当 NSE>0.20 时,SWAT 大肠杆菌和粪大肠菌群模型可判断为“满意”。来源的贡献如下:溪流中牛粪便沉积>牛粪便施用量>家禽粪便施用量>化粪池系统>野生动物粪便,这表明减少牲畜进入溪流将是减少该流域和其他受粪便污染影响的流域中粪便细菌负荷的最有效方法。最后,我们的结果表明,SWAT 模型能够模拟 Clouds Creek 流域的大肠杆菌动态,并为风险管理提供来源影响的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c14/8804978/671ce6822b64/nihms-1622389-f0002.jpg

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