Fuzzy modelling to identify key drivers of ecological water quality to support decision and policy making

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• 作者：Marie Anne Eurie Forio^a ; ^{marie.forio@ugent.be} ; ^{anne_forio@yahoo.com} ; Ans Mouton^a ; Koen Lock^a ; Pieter Boets^a ; ^b ; Thi Hanh Tien Nguyen^a ; ^c ; Minar Naomi Damanik Ambarita^a ; Peace Liz Sasha Musonge^a ; Luis Dominguez-Granda^d ; Peter L.M. Goethals^a
• 关键词：Fuzzy logic ; Environmental variables ; Decision support systems ; River basin management
• 刊名：Environmental Science & Policy
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：68
• 期：Complete
• 页码：58-68
• 全文大小：1094 K
• 卷排序：68

文摘

Fuzzy models were developed for analysing ecological water quality (EWQ). Determination of relevant input variables and use of expert knowledge are key strengths. Land use in the Guayas basin had a dominant effect on the EWQ expressed as BMWP/Col. Multivariate effects were considered via sensitivity analyses. Fuzzy logic models can support spatial planning and water policy development.