Assistant Professor, Department of Hydrology and Water Resources Development, Soil Conservation and Watershed Management Research Institute, Agricultural Research, Education and Extension Organization, Tehran, Iran. Email: majidi_geo@yahoo.com & Agricultural Research, Education and Extension Organization
Abstract: (424 Views)
The strong capacity of Geographic Information System (GIS) in spatial data analysis, especially the integration of information layers, helps in selecting the optimal location for an underground dam, considering time and cost savings. Multi-criteria analysis (MCA) is a Geographic Information System (GIS)-based decision-making technique designed based on various criteria. Multi-criteria analysis (MCA) is used to identify the most suitable locations for constructing structures or implementing construction projects, especially at regional and sub-regional scales. Multi-criteria analysis, integrated with GIS, combines various criteria/parameters into a single result and location.The main objective of this paper is to find a practical and applicable method in locations similar to this project by making decisions on the dam's location. The use of GIS and RS techniques was employed to create a weighting model, compare, and prioritize suitable areas for underground dam construction using information and decision support systems. The main socio-economic criteria, water runoff, and water quality and quantity were utilized to determine the dam's location. The results indicated that the southern regions have a high priority for underground dam construction. Based on the ranking of the disaggregated maps, the final range varies between 4.7 and 8.19. Despite the high EC rate and lower permeability class, these areas achieved better results in the final weighting due to shorter distances from settlements, better land use/cover classes, and greater socio-economic impact.
Majidi A. Locating and prioritizing areas susceptible to underground dam construction within the Fashand Watershed in Alborz Province. Journal of Rainwater Catchment Systems 2024; 12 (4) : 8 URL: http://jircsa.ir/article-1-578-en.html
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