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Author |
Edjossan-Sossou, A.; Selouane, K.; Sayah, M.A.; Ouabou, M.; Vignote, C.; Capitaine, M.; Soto, D.; Edelblutte, E. |
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Title |
An innovative scenario-based modeling tool for the management of resilient water resources |
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Conference Article |
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Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
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Pages |
808-821 |
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Keywords |
Climate Change; Resilience Performance Assessment; Water Resources Management; Scenario-Based Analysis; Predictive Modelling |
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Abstract |
As freshwater availability for domestic and agro-industrial uses is highly sensitive to climate change, there is an urgent need for the management of this critical resource to be resilient, i.e., to cope with and rapidly recover from climate risks. To achieve this resilient goal, decision-makers need to have a comprehensive understanding of (i) the current and future local water resources, (ii) the ways these resources are and will be impacted by climate change, and (iii) the effects their management decisions can have. In this paper, we present an innovative scenario based modeling tool that help decision-makers make the most appropriate decision towards managing water resources: the Resilience Performance Assessment (RPA). This GIS-based decision support tool illustrates the current and future effects of climate change on local water resources and simulates the outcomes of different water resources management strategies. The RPA helps guide decision-makers towards the implementation of context specific adaptation strategies. |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
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Language |
English |
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Series Editor |
Hosssein Baharmand |
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Edition |
1 |
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Track |
Geospatial Technologies, Location Analytics, and Geographic Information Science |
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Notes |
http://dx.doi.org/10.59297/AHXP6903 |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2568 |
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