Multi-Criteria Decision Making (MCDM)
2 articles filed under this keyword.
Integration of GIS and Analytic Hierarchy Process (AHP) for Optimal Dam Site Selection in the Ranya River Basin
Muhammad Ali Qadir, Nali Jawad Hamad
The decline in water resources is one of the main environmental and economic issues in the world. The Kurdistan Region is not immune to these effects. Building small and medium-sized dams is one of the strategic solutions for storing water and managing water resources. Nevertheless, selecting suitable locations is a complex decision-making process and requires the analysis of many different criteria in order to achieve and accurate results while avoiding high costs and risks. The purpose of this research is to determine the most suitable sites for building dams in the Ranya River Basin by using the Geographic Information System (GIS), the method of Multi-Criteria Decision-Making (MCDM), and the model of Analytic Hierarchy Process (AHP) Model. Ten main criteria were selected from various aspects of geology, topography, hydrology, and environment. The relative weight of each criterion was determined through the AHP model, and subsequently, all criteria were standardized in the GIS. By utilizing the Pairwise Comparison Matrix between the criteria and combining them based on their weights (Weighted Overlay), the final map of site suitability was produced. The results show that the study area has been divided into five categories based on suitability level: very suitable (15.0%), suitable (26.7%), moderately suitable (28.4%), less suitable (21.6%), and not suitable (8.3%). This map can serve as an effective scientific tool for developers and decision-makers for the development of water harvesting projects in the area.
Volume 12 · Issue 1 · February 2025Spatial Suitability of Solar Energy Production in the Garmian Administration implementing Multi-Criteria Decision Making (MCDM) Methods
Hemin Nasraldin M.Amin, Khalel Kareem Muhammed, Miqdad Omer Abdulla, Ako Hameed Mala Qadir
This research was conducted in the field of applied climatology & relied on several technics, software programs, and advanced geographical methods. The research area encompasses Garmian District, which is located in the southeastern part of the Kurdistan Region. It borders Sulaymaniyah Province to the north, Halabja Province to the northeast, Kirkuk Province to the northwest, Saladin Province to the west, and Diyala Province to the west and southwest. In addition to that, on its eastern side, it shares a 122.5 km border with Kermanshah Province. The total area of the Garmian District is approximately (6,017.95Km2). The research area encompasses Kifri & Khanaqin Districts, as well as Maydan & Qoratoo sub districts. The main objective of this study is to determine the most suitable site for the installation of solar energy plants in the Garmian District, with the goal of addressing the electricity shortage in the research area by providing an optimal solution. In conclusion, the physical characteristics of the study area are highly suitable for the installation of photovoltaic power plants. Specifically, around half of the research area is considered very well-suited for this purpose.