Version 1
: Received: 3 April 2024 / Approved: 3 April 2024 / Online: 3 April 2024 (11:06:53 CEST)
How to cite:
Zytoon, A.; Gharineiat, Z.; Alajarmeh, O. Supplementary Dam Site Selection Using GIS-Remote Sensing Approach: A Case Study of Wivenhoe Dam. Preprints2024, 2024040244. https://doi.org/10.20944/preprints202404.0244.v1
Zytoon, A.; Gharineiat, Z.; Alajarmeh, O. Supplementary Dam Site Selection Using GIS-Remote Sensing Approach: A Case Study of Wivenhoe Dam. Preprints 2024, 2024040244. https://doi.org/10.20944/preprints202404.0244.v1
Zytoon, A.; Gharineiat, Z.; Alajarmeh, O. Supplementary Dam Site Selection Using GIS-Remote Sensing Approach: A Case Study of Wivenhoe Dam. Preprints2024, 2024040244. https://doi.org/10.20944/preprints202404.0244.v1
APA Style
Zytoon, A., Gharineiat, Z., & Alajarmeh, O. (2024). Supplementary Dam Site Selection Using GIS-Remote Sensing Approach: A Case Study of Wivenhoe Dam. Preprints. https://doi.org/10.20944/preprints202404.0244.v1
Chicago/Turabian Style
Zytoon, A., Zahra Gharineiat and Omar Alajarmeh. 2024 "Supplementary Dam Site Selection Using GIS-Remote Sensing Approach: A Case Study of Wivenhoe Dam" Preprints. https://doi.org/10.20944/preprints202404.0244.v1
Abstract
Flooding, exacerbated by climate change, poses a significant threat to certain areas, increasing in frequency and severity. In response, the construction of supplementary dams has emerged as a reliable solution for flood management. This study employs a Remote Sensing (RS) approach integrated with GIS to assess the feasibility of constructing a supplementary dam near Linville, Brisbane, Australia, with the aim of mit-igating floods and preventing overtopping failure at the Wivenhoe Dam. Using QGIS software and a 25-meter resolution DEM from the Queensland Spatial Catalogue ‘QSpatial’ website, four potential dam sites were analysed, considering cross-sections, watershed characteristics, and water volume calculations. Systematic selection criteria were applied to identify the most optimal option based on dam wall di-mensions, volume-to-area, and volume-to-cost ratios. The selected option was further assessed against predefined criteria, yielding one optimal choice. The study provides insights into the feasibility and ef-fectiveness of supplementary dam construction for flood mitigation in the region, with recommendations for future research and implementation.
Keywords
Climate Change; Flooding; Dam Surveying; GIS, DEM; Selection criteria
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
