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Estimation of urban water supply issues at the local scale: a participatory approach

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  • Christelle Legay
  • Geneviève Cloutier
  • Salem Chakhar
  • Florent Joerin
  • Manuel Rodriguez

Abstract

Predicted climate change may significantly affect drinking water supply in urban areas. Local water stakeholders facing climate change will have to deal with uncertain information and unexpected events. To address this lack of data, the knowledge and experience of practitioners might be used to assess the potential impacts of climate change on different issues, including drinking water supply. This paper proposes a participatory approach to identify local issues associated with drinking water supply (from source to tap) in a climate change context. This approach relies on the experience and knowledge of local practitioners. The proposed approach was applied to the Québec City metropolitan area (Province of Quebec, Canada). It is based on assignment examples (in this case, a selected set of districts from the study territory) in order to generalize application to the entire territory. This approach helps stakeholders to rationally consider different dimensions and the complexity of drinking water supply. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Christelle Legay & Geneviève Cloutier & Salem Chakhar & Florent Joerin & Manuel Rodriguez, 2015. "Estimation of urban water supply issues at the local scale: a participatory approach," Climatic Change, Springer, vol. 130(4), pages 491-503, June.
    • Handle: RePEc:spr:climat:v:130:y:2015:i:4:p:491-503
    DOI: 10.1007/s10584-015-1366-6
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    References listed on IDEAS

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    1. Dagmar Haase, 2013. "Participatory modelling of vulnerability and adaptive capacity in flood risk management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(1), pages 77-97, May.
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    4. Hung-Chih Hung & Ling-Yeh Chen, 2013. "Incorporating stakeholders’ knowledge into assessing vulnerability to climatic hazards: application to the river basin management in Taiwan," Climatic Change, Springer, vol. 120(1), pages 491-507, September.
    5. Dias, Luis & Mousseau, Vincent & Figueira, Jose & Climaco, Joao, 2002. "An aggregation/disaggregation approach to obtain robust conclusions with ELECTRE TRI," European Journal of Operational Research, Elsevier, vol. 138(2), pages 332-348, April.
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    Cited by:

    1. Hu, Qiwei & Chakhar, Salem & Siraj, Sajid & Labib, Ashraf, 2017. "Spare parts classification in industrial manufacturing using the dominance-based rough set approach," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1136-1163.
    2. Fatima‐Zohra Younsi & Salem Chakhar & Alessio Ishizaka & Djamila Hamdadou & Omar Boussaid, 2020. "A Dominance‐Based Rough Set Approach for an Enhanced Assessment of Seasonal Influenza Risk," Risk Analysis, John Wiley & Sons, vol. 40(7), pages 1323-1341, July.
    3. Chakhar, Salem & Ishizaka, Alessio & Labib, Ashraf & Saad, Inès, 2016. "Dominance-based rough set approach for group decisions," European Journal of Operational Research, Elsevier, vol. 251(1), pages 206-224.

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