Departamento Ingeniería de Minas, Universidad de La Serena, Benavente 980, La Serena, Chile.
Universidad de Concepción, Chillán, Bio Bio, Chile.
Environ Monit Assess. 2018 Jun 11;190(7):390. doi: 10.1007/s10661-018-6758-4.
A fuzzy logic approach has been proposed to face the uncertainty caused by sparse data in the assessment of the intrinsic vulnerability of a groundwater system with parametric methods in Las Trancas Valley, Andean Mountain, south-central Chile, a popular touristic place in Chile, but lacking of a centralized drinking and sewage water public systems; this situation is a potentially source of groundwater pollution. Based on DRASTIC, GOD, and EKv and the expert knowledge of the study area, the Mamdani fuzzy approach was generated and the spatial data were processed by ArcGIS. The groundwater system exhibited areas with high, medium, and low intrinsic vulnerability indices. The fuzzy approach results were compared with traditional methods results, which, in general, have shown a good spatial agreement even though significant changes were also identified in the spatial distribution of the indices. The Mamdani logic approach has shown to be a useful and practical tool to assess the intrinsic vulnerability of an aquifer under sparse data conditions.
已提出一种模糊逻辑方法来应对在评估智利中南部安第斯山脉 Las Trancas 山谷地下水系统固有脆弱性时由参数方法引起的稀疏数据不确定性，智利是一个受欢迎的旅游胜地，但缺乏集中的饮用水和污水公共系统；这种情况是地下水污染的潜在来源。基于 DRASTIC、GOD 和 EKv 以及研究区域的专家知识，生成了 Mamdani 模糊方法，并通过 ArcGIS 处理了空间数据。地下水系统显示出高、中、低固有脆弱性指数的区域。模糊方法的结果与传统方法的结果进行了比较，总体而言，即使在指数的空间分布上也发现了显著变化，但结果具有良好的空间一致性。Mamdani 逻辑方法已被证明是在数据稀疏条件下评估含水层固有脆弱性的有用且实用的工具。
