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首页> 外文期刊>Journal of the American Water Resources Association >ESTIMATING POTENTIAL E. COLI SOURCES IN A WATERSHED USING SPATIALLY EXPLICIT MODELING TECHNIQUES
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ESTIMATING POTENTIAL E. COLI SOURCES IN A WATERSHED USING SPATIALLY EXPLICIT MODELING TECHNIQUES

机译：利用空间显式建模技术估算流域潜在大肠杆菌来源。

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The Spatially Explicit Load Enrichment Calculation Tool (SELECT) was automated to characterize waste and the associated pathogens from various sources within a mixed land use watershed. Potential Escheri-chia coli loads in Lake Granbury watershed were estimated using spatially variable governing factors, such as land use, soil condition, and distance to streams. A new approach for characterizing E. coli loads resulting from malfunctioning on-site wastewater treatment systems (OWTSs) was incorporated into SELECT along with the Pollutant Connectivity Factor (PCF) module. The PCF component was applied to identify areas contributing E. coli loads during runoff events by incorporating the influence of potential E. coli loading, runoff potential, and travel distance to waterbodies. Simulation results indicated livestock and wildlife are potential E. coli contributing sources in the watershed. The areas in which these sources are potentially contributing are not currently monitored for E. coli. The bacterial water quality violations seen around Lake Granbury are most likely the result of malfunctioning OWTSs and pet wastes. SELECT results demonstrate the need to evaluate each contributing source separately to effectively allocate site specific best management practices (BMPs) utilizing stakeholder inputs. It also serves as a powerful screening tool for determining areas where detailed investigation is merited.
机译：空间显式负荷富集计算工具（SELECT）是自动进行的，用于表征混合土地利用流域内各种来源的废物和相关病原体。格兰伯里湖流域的潜在大肠杆菌负荷量是根据空间可变的控制因素估算的，例如土地利用，土壤状况和溪流距离。 SELECT与污染物连通性因子（PCF）模块一起被用于表征由现场废水处理系统（OWTS）故障导致的大肠杆菌负荷的新方法。通过将潜在的大肠杆菌载量，径流潜力和到水体的行进距离的影响合并在一起，将PCF组件应用于识别径流事件中造成大肠杆菌负荷的区域。模拟结果表明，牲畜和野生生物是流域中潜在的大肠杆菌贡献来源。这些来源可能在其中起作用的区域目前未监测到大肠杆菌。格兰伯里湖周围发现的细菌水质违规现象很可能是OWTS和宠物废物失灵的结果。 SELECT结果表明，有必要分别评估每个贡献来源，以利用利益相关者的意见有效地分配特定于站点的最佳管理实践（BMP）。它还可以用作确定需要进行详细调查的区域的强大筛选工具。

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