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The New Hybrid Method for Vulnerability Assessment in Floodplain Area due to Dam Break
  • Mohammad Ali Nekooie,
  • Saeed Gholizadeh
Mohammad Ali Nekooie
Malek-Ashtar University of Technology

Corresponding Author:[email protected]

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Saeed Gholizadeh
Malek-Ashtar University of Technology
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Abstract

Despite all the importance of dams, dam failure, always threatens downstream areas by both natural and man-made sources and caused great human and financial losses. Vulnerability analysis is one of the main assessments to achieve a risk map and help policymakers reduce the losses and consequences of the failure. Therefore, this study aims to develop a new integrated hybrid model based on the security vulnerability assessment (SVA) and hydraulic analysis of flood and Source-Pathway-Receptor–Consequences (SPRC) approach. For SVA forms, data were collected by questionnaires survey, and for flood mapping, the open-source software, HEC-RAS was used. Geographical Information System (GIS) was applied to a combination of layers based on the SPRC approach. Five different scenarios were modeled to obtain the flood map due to a dam break. Then, the output data from the HEC-RAS software were transferred to the GIS software to be merged with other data achieved from the survey based on the SVA approach. Finally, the risk map for a case study was developed by this new hybrid approach. The results of the modeling showed that the highest vulnerability was achieved by residential areas and the lowest vulnerability is achieved by agricultural land due to floods by the dam failure.
03 Sep 2021Submitted to Engineering Reports
06 Sep 2021Submission Checks Completed
06 Sep 2021Assigned to Editor
12 Sep 2021Reviewer(s) Assigned
11 Oct 2021Editorial Decision: Revise Major
08 Nov 20211st Revision Received
09 Nov 2021Submission Checks Completed
09 Nov 2021Assigned to Editor
11 Nov 2021Reviewer(s) Assigned
04 Dec 2021Editorial Decision: Revise Major
25 Mar 20222nd Revision Received
28 Mar 2022Submission Checks Completed
28 Mar 2022Assigned to Editor
29 Mar 2022Reviewer(s) Assigned
03 Jun 2022Editorial Decision: Revise Major
18 Feb 20233rd Revision Received
20 Feb 2023Assigned to Editor
20 Feb 2023Submission Checks Completed
20 Feb 2023Review(s) Completed, Editorial Evaluation Pending
02 Mar 2023Reviewer(s) Assigned
18 Mar 2023Editorial Decision: Accept