Flood vulnerability analysis using different aggregation frameworks across watersheds of Ardabil province, northwestern Iran

被引:8
|
作者
Azizi, Elham [1 ]
Nikoo, Mohammad Reza [2 ]
Mostafazadeh, Raoof [3 ]
Hazbavi, Zeinab [3 ]
机构
[1] Univ Mohaghegh Ardabili, Fac Agr & Nat Resources, Dept Nat Resources Engn, Ardebil, Iran
[2] Sultan Qaboos Univ, Dept Civil & Architectural Engn, Muscat, Oman
[3] Univ Mohaghegh Ardabili, Fac Agr & Nat Resources, Water Management Res Ctr, Dept Nat Resources, Ardebil, Iran
关键词
Environmental impact; Flood zoning; Index-oriented evaluation; Resilience; Weighting and ranking;
D O I
10.1016/j.ijdrr.2023.103680
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Flood-vulnerable-area selection could be interpreted as an intricate multiple-criteria decision -making (MCDM) problem. Lacking systematic flood vulnerability maps in Iran usually leaves the National Disaster Management Organization and provincial authorities to rely on limited knowledge to inform their emergency actions. Therefore, the present study was conducted as pioneer research in flood problematization for solving disaster issues that have not been adequately considered in the country. To obtain a more trustworthy and safer decision, a complex set of multivariate flood vulnerability assessments was done for 26 watersheds of Ardabil prov-ince using the novel-ensemble MCDM frameworks. Towards this, the complex proportional assessment of alternatives (COPRAS) and the UK Department for International Development (DFID) approach was integrated with widely used weighting methods of Shannon's entropy (Entropy) and analytical hierarchy process (AHP). Finally, four different aggregation frameworks of COPRAS-Entropy, COPRAS-AHP, DFID-Entropy, and DFID-AHP were developed and compared based on 19 criteria and three factors (exposure, sensitivity, and resilience). The flood vulnera-bility was obtained as 0.70 +/- 0.13, 0.66 +/- 0.18, 0.17 +/- 0.10, and 0.20 +/- 0.15, respectively, based on COPRAS-Entropy, COPRAS-AHP, DFID-Entropy, and DFID-AHP. As can be seen, higher values were estimated according to COPRAS-based frameworks rather than DFID-based frame-works, except for resilience. The top-ranked watersheds in terms of exposure (i.e., Mashiran) and sensitivity (i.e., Samian) produced by aggregation frameworks match entirely. However, the top -ranked watersheds based on resilience and flood vulnerability slightly mismatch among the used aggregation's frameworks. These findings help the responsible authorities for natural disaster risk reduction to promote sustainable development processes and equitable access to financial resources.
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页数:22
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