Zytoon, A.; Gharineiat, Z.; Alajarmeh, O. Supplementary Dam Site Selection Using a Geospatial Approach: A Case Study of Wivenhoe Dam. ISPRS Int. J. Geo-Inf.2024, 13, 180.
Zytoon, A.; Gharineiat, Z.; Alajarmeh, O. Supplementary Dam Site Selection Using a Geospatial Approach: A Case Study of Wivenhoe Dam. ISPRS Int. J. Geo-Inf. 2024, 13, 180.
Zytoon, A.; Gharineiat, Z.; Alajarmeh, O. Supplementary Dam Site Selection Using a Geospatial Approach: A Case Study of Wivenhoe Dam. ISPRS Int. J. Geo-Inf.2024, 13, 180.
Zytoon, A.; Gharineiat, Z.; Alajarmeh, O. Supplementary Dam Site Selection Using a Geospatial Approach: A Case Study of Wivenhoe Dam. ISPRS Int. J. Geo-Inf. 2024, 13, 180.
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.