首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Using multi-criteria decision analysis to assess the vulnerability of drinking water utilities
Authors:Florent Joerin  Geneviève Cool  Manuel J Rodriguez  Marc Gignac  Christian Bouchard
Institution:1. Chaire de recherche du Canada en aide à la décision territoriale, Université Laval, Quebec, QC, Canada
2. Chaire de recherche en eau potable de l’Université Laval, Université Laval, 2325, rue des Bibliothèques, Pavillon Félix Antoine Savard (Bureau 1612), Quebec, QC, G1V 0A6, Canada
3. Ministère Développement Durable, Environnement et Parcs, Quebec, QC, Canada
Abstract:Outbreaks of microbiological waterborne disease have increased governmental concern regarding the importance of drinking water safety. Considering the multi-barrier approach to safe drinking water may improve management decisions to reduce contamination risks. However, the application of this approach must consider numerous and diverse kinds of information simultaneously. This makes it difficult for authorities to apply the approach to decision making. For this reason, multi-criteria decision analysis can be helpful in applying the multi-barrier approach to vulnerability assessment. The goal of this study is to propose an approach based on a multi-criteria analysis method in order to rank drinking water systems (DWUs) based on their vulnerability to microbiological contamination. This approach is illustrated with an application carried out on 28 DWUs supplied by groundwater in the Province of Québec, Canada. The multi-criteria analysis method chosen is measuring attractiveness by a categorical based evaluation technique methodology allowing the assessment of a microbiological vulnerability indicator (MVI) for each DWU. Results are presented on a scale ranking DWUs from less vulnerable to most vulnerable to contamination. MVI results are tested using a sensitivity analysis on barrier weights and they are also compared with historical data on contamination at the utilities. The investigation demonstrates that MVI provides a good representation of the vulnerability of DWUs to microbiological contamination.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号