Dam break modeling and downstream flood inundation mapping on Darbandikhan Dam, Iraq

Isam Dhahir Khudhur () and Ahmed N. A. Hamdan ()

Edelweiss Applied Science and Technology, 2024, vol. 8, issue 6, 6383-6403

Abstract: It is important to consider the catastrophic effects of dam collapses to make emergency and evacuation plans. This study simulates the hypothetical collapse of the Darbandikhan Dam in northeastern Iraq. Then, it routes the resulting flood from this collapse to the downstream region with an approximate length of 325 km. The flood impact was analyzed using the 2D HEC-RAS model with the help of ArcGIS software. The outflow peak discharge of the breach at the dam site reached approximately 381.1x103 m3/s. Inundation maps were created using RAS-Mapper, which contains the flood wave's depth, velocity, and arrival time distribution through the study area. The maximum values of depth and velocity were (17.5-58) m and (2-22) m/s, respectively, in Sirwan district near the dam, with an arrival time (0.13-0.6) hr. The minimum values of depth and velocity were in the Al-Aziziyah district, which is located at the farthest point from the dam in the study area, which were (0-0.6) m and (0-0.3) m/s, respectively, with an arrival time of (169-186) hr. It is hoped that this research will contribute through its results to providing valuable data to enhance emergency preparedness and effective evacuation planning in the event of a dam failure.

Keywords: Darbandikhan Dam; Dam collapse; Inundation map; Peak discharge; The flood wave. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://learning-gate.com/index.php/2576-8484/article/view/3382/1271 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ajp:edwast:v:8:y:2024:i:6:p:6383-6403:id:3382

Access Statistics for this article

More articles in Edelweiss Applied Science and Technology from Learning Gate
Bibliographic data for series maintained by Melissa Fernandes ().