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首页> 外文期刊>Journal of the American Water Resources Association >STATEWIDE EMPIRICAL MODELING OF BACTERIAL CONTAMINATION OF SURFACE WATERS
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STATEWIDE EMPIRICAL MODELING OF BACTERIAL CONTAMINATION OF SURFACE WATERS

机译：地表水细菌污染的全状态经验建模

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摘要

Bacterial contamination of surface waters is attributed to both urban and agricultural land use practices and is one of the most frequently cited reasons for failure to meet standards established under the Clean Water Act (CWA) (P.L. 92-500). Statewide modeling can be used to determine if bacterial contamination occurs predominantly in urban or agricultural settings. Such information is useful for directing future monitoring and allocating resources for protection and restoration activities. Logistic regression was used to model the likelihood of bacterial contamination using watershed factors for the state of Maryland. Watershed factors included land cover, soils, topography, hydrography, locations of septic systems, and animal feeding operations. Results indicated that bacterial contamination occurred predominantly in urban settings. Likelihood of bacterial contamination was highest for small watersheds with well drained and erodible soils and a high proportion of urban land adjacent to streams. The number of septic systems and animal feeding operations and the amount of agricultural land were not significant explanatory factors. The urban infrastructure tends to "connect" more of the watershed to the stream network through the creation of roads, storm sewers, and wastewater treatment plants. This may partly explain the relationship between urbanization and bacterial contamination found in this study.
机译：地表水的细菌污染归因于城市和农业用地实践，并且是未能达到《清洁水法》（CWA）（P.L. 92-500）确立的标准的最经常提及的原因之一。州级建模可用于确定细菌污染是否主要发生在城市或农业环境中。此类信息对于指导将来的监视和分配资源进行保护和恢复活动很有用。 Logistic回归用于使用马里兰州的分水岭因子对细菌污染的可能性进行建模。流域因素包括土地覆盖，土壤，地形，水文，化粪池系统的位置以及动物饲养操作。结果表明，细菌污染主要发生在城市环境中。对于排水良好且易蚀土壤且流域邻近的城市土地比例较高的小流域，细菌污染的可能性最高。化粪系统和动物饲养活动的数量以及农地的数量并不是重要的解释性因素。城市基础设施倾向于通过建立道路，雨水管道和废水处理厂，将更多的流域“连接”到河流网络。这可能部分解释了这项研究中发现的城市化与细菌污染之间的关系。

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