污染
环境科学
分水岭
非点源污染
水污染
水质
阿卡克信息准则
废水
支流
环境工程
水文学(农业)
计算机科学
工程类
数学
环境化学
地理
统计
生态学
化学
地图学
岩土工程
机器学习
生物
作者
Mallory A. Jordan,Ann Ojeda,Eleanore A. Larson,Stephanie R. Rogers
标识
DOI:10.1021/acs.est.2c09590
摘要
Onsite wastewater treatment systems (OWTSs) are important nonpoint sources (NPSs) of pollution to consider in watershed management. However, limited OWTS data availability makes it challenging to account for them as an NPS of water pollution. In this study, we succeeded in obtaining OWTS permits and integrated them with environmental data to model the pollution potential from OWTSs at the watershed scale using GIS-based multicriteria decision analysis. Then, in situ water quality parameters─Escherichia coli (E. coli), total nitrogen, total phosphorus, temperature, and pH─were measured along the main tributary at base-flow conditions. Three general linear models were developed to relate E. coli to water quality parameters and OWTS pollution indicators. It was found that the model with the OWTS pollution potential had the lowest corrected Akaike information criterion (AICc) value (35.01) compared to the models that included classified OWTS pollution potential input criteria (AICc = 36.76) and land cover (AICc = 36.74). These results demonstrate that OWTSs are a significant contributor to surface water pollution, and future efforts should be made to improve access to OWTS data (i.e., location and age) to account for these systems as an NPS of water pollution.
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