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Robust Prioritization of Climate Change Adaptation Strategies Using the VIKOR Method with Objective Weights
Author(s) -
Kim Yeonjoo,
Chung EunSung
Publication year - 2015
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/jawr.12291
Subject(s) - regret , climate change , computer science , entropy (arrow of time) , prioritization , sustainability , environmental science , environmental economics , environmental resource management , mathematical optimization , operations research , mathematics , management science , economics , machine learning , ecology , physics , quantum mechanics , biology
Abstract This study proposes a robust prioritization framework for climate change adaptation strategies under uncertain climate change scenarios, using the VI seKriterijumska Optimizacija I Kompromisno Resenje ( VIKOR ) method, a multi‐criteria decision‐making approach, together with the Shannon entropy‐based weights. The VIKOR method allows us to find a compromise solution between two decision strategies of maximizing group utility and minimizing individual regret, and the Shannon entropy is used to determine objective weights among multiple climate change scenarios. The proposed methodology was applied to the problem of selecting locations of subwatersheds for reusing treated wastewater ( TWW ) in a Korean urban watershed. Selected based on the sustainability concept, hydro‐environmental and socioeconomic indicators were used to evaluate the sustainability of TWW reuse under multiple climate change scenarios, using the hydrologic simulation model results and statistical data. Finally, sustainability scores under multiple scenarios were aggregated using the VIKOR together with the Shannon entropy‐based weights for the robust prioritization of adaptation strategies. According to the different levels of regret aversion or affinity, our results for water quality showed different sets of adaptation strategies as the best options, suggesting that our framework would help stakeholders seeking the robust options considering both the utility and regret.