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Linking watershed modeling and bacterial source tracking to better assess E. coli sources

机译:将流域建模和细菌源跟踪连接以更好地评估大肠杆菌来源

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摘要

Terrestrial fate and transport processes of E. coil can be complicated by human activities like urbanization or livestock grazing. There is a critical need to address contributing sources of bacterial contamination, properly assess the management of critical sources, and ultimately reduce E. coli concentrations in impaired water bodies. In particular, characterization of wildlife animal contributions and other "background" input sources of microbial pollution are highly uncertain and data are scarce. This study attempts to identify critical sources of E. coil and the efficacy of conservation practices for mitigating E. coil concentrations in the Arroyo Colorado watershed, Texas, using a process-based hydrologic and water quality model. We propose to incorporate a bacterial source tracking assessment into the modeling framework to fill the gap in data on wildlife and human contribution. In addition, other sources identified through a GIS survey, national census, and local expert knowledge were incorporated into the model as E. coil sources. Results suggest that simulated distribution of E. coil sources significantly improved after incorporating this enhanced data on E. coil sources into the model (R-2 = 0.90) compared to the SWAT result without BST (R-2 0.59). Scenario assessments indicate that wildlife contributions may remain significant despite land use change and urbanization, expected to mostly occur in agricultural and range lands. A combination of nonpoint source management measures, voluntary implementation of advanced treatment by wastewater plants where possible, and installation of aerators in the zone of impairment were demonstrated to be effective measures for restoring the recreation and aquatic life uses of the Arroyo Colorado. (C) 2018 Elsevier B.V. All rights reserved.
机译:E.灯圈的地面命运和运输过程可以通过城市化或牲畜放牧等人类活动复杂化。有必要解决有贡献的细菌污染来源,适当地评估关键来源的管理,最终降低水体受损的大肠杆菌浓度。特别是,野生动物动物贡献的表征和其他“背景”的微生物污染的输入来源是高度不确定的,数据是稀缺的。该研究试图识别E.线圈的关键来源以及保护实践的施保实践的效果,用于减轻基于过程的水文和水质模型的Arroyo Colorado流域的卷曲浓度。我们建议将细菌来源跟踪评估纳入建模框架,以填补野生动物和人类贡献数据的差距。此外,通过GIS调查,国家人口普查和本地专家知识确定的其他来源被纳入模型作为E.线圈源。结果表明,在将E中的这种增强的数据纳入模型(R-2 = 0.90)的情况下,卷材的模拟分布显着改善了与没有BST的SWAT结果(R-2 0.59)。情景评估表明,尽管土地利用变化和城市化,但野生动物捐款可能仍然很大,预计大多出现在农业和范围的土地上。在可能的情况下,有可能的污水厂的污水植物的自愿实施和损伤器的曝气器的自愿实施是有效的措施,以实现恢复Arroyo Colorado的娱乐和水生寿命使用的有效措施。 (c)2018年elestvier b.v.保留所有权利。

著录项

  • 来源
    《The Science of the Total Environment》 |2019年第838期|164-175|共12页
  • 作者单位

    Texas A&M Univ Texas A&M AgriLife Res Blackland Res Ctr 720 East Blackland Rd Temple TX 76502 USA;

    Oklahoma State Univ Oklahoma Water Resources Ctr 139 Ag Hall Stillwater OK 74078 USA;

    Texas Water Resources Inst 2260 TAMU College Stn TX 77843 USA;

    Texas Commiss Environm Qual 2100 Pk 35 Circle Austin TX 78753 USA;

    Univ Florida Inst Food & Agr Sci Ctr Trop Res & Educ Agr & Biol Engn Dept Homestead FL 33031 USA;

    Texas A&M Univ Texas A&M AgriLife Res Blackland Res Ctr 720 East Blackland Rd Temple TX 76502 USA;

    Texas A&M Univ Texas A&M AgriLife Res Blackland Res Ctr 720 East Blackland Rd Temple TX 76502 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    E. coil; FIB; SWAT; Modeling; Water quality; Watershed;

    机译:E.线圈;FIB;SWAT;建模;水质;流域;

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