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Survey‐Based Approach for Hydrological Vulnerability Indicators Due to Climate Change: Case Study of Small‐Scale Rivers 1
Author(s) -
Jung Yong,
Choi Minha
Publication year - 2012
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/j.1752-1688.2011.00608.x
Subject(s) - delphi method , vulnerability (computing) , weighting , climate change , scale (ratio) , context (archaeology) , environmental resource management , adaptive capacity , delphi , water resources , environmental science , computer science , water resource management , operations research , statistics , geography , mathematics , medicine , ecology , computer security , cartography , archaeology , biology , radiology , operating system
Jung, Yong and Minha Choi, 2012. Survey‐Based Approach for Hydrological Vulnerability Indicators Due to Climate Change: Case Study of Small‐Scale Rivers. Journal of the American Water Resources Association (JAWRA) 48(2): 256‐265. DOI: 10.1111/j.1752‐1688.2011.00608.x Abstract: The vulnerability indicators can be used to develop water resource policy in the context of climate change. The Delphi method, an interactive prediction technique, is an efficient way to apply weighting functionality to vulnerability indicators consisting of three parts: Exposure, Sensitivity, and Adaptive Capacity on climate change. The Delphi method is an anonymous iterative survey of expert opinion, which is then shared with other participants. A total of three different rounds were carried out. The first round was a problem selection set, and the second and third were the standard Delphi survey. Fifty‐eight experts (66% academic and 34% practitioner) were invited. The rates of reply were 59, 50, and 38% for the first, second, and third Delphi processes, respectively. The degree of consensus of the Delphi survey was validated via variance changes and Kendall’s W test. Exposure and Adaptive Capacity presented increased levels of agreement among respondents in their given priorities. Particularly strong convergence (0.20 to 0.71 in Kendall’s W ) of the experts’ opinions for Adaptive Capacity was observed. The results of this study indicate that finalized factors with ultimate weights through the Delphi method can be a strong support for governmental policy making with respect to climate change.