Using Analytical Hierarchy Process Integrated With Geographic Information System and Remote Sensing (AHP/GIS/RS) For Mapping Groundwater Potentiality in West El-Minia Area, Upper Egypt

Abstract

Water resources management is considered a major socio-economic issue and a central component for future development; this implies an increasing demand for exploration of groundwater of high potentiality to cope with the excessive needs. In this work, Analytic Hierarchy Process (AHP) which is a widely used Multi-Criteria Decision Analysis (MCDA) has been used with Geographic Information System and Remote Sensing for classifying and mapping zones that intrinsically control and reflect groundwater recharge potentiality in the western area of El Minia Governorate, Upper Egypt. Six parameters of high attributes to groundwater recharge potentiality (Geology, Geomorphology, Slope, Lineaments Density, Drainage Density, and land use/land cover) have been selected. Assigned weights based on their relative importance to groundwater recharge, the weights were compared in a pair-wise matrix, the Eigen values were determined and the consistency ratio was calculated to validate the assigned weights; the ranges of these parameters are classed and rated. Overlay analysis was done to integrate the thematic layers of the parameters in Arc GIS domain for the development of a groundwater recharge potential map which has been verified using stable isotopic content (δ 18 O and δD) of 67 groundwater samples collected from the study Physico-Chemical and Organolyptical Characteristics Of Cake Fortified By Irradiated Broccoli (Brassica Oleracea L.Var Italica) Powder ( 15 )

GIS-based multi-criteria decision making for delineation of potential groundwater recharge zones for sustainable resource management in the Eastern Mediterranean: a case study

“…The analytic hierarchy process (AHP), developed by Saaty (1980), is considered a commonly utilized approach with MCDA for solving socioeconomic decision-making problems (Alsafadi et al 2020;Sarkar et al 2022;Rendana et al 2023). The AHP model simplifies complicated judgments by creating several pair-wise comparisons, and then combining the findings (Saaty 2001). The integration between the AHP model and Geographic Information Systems (GIS) technologies is a valuable tool for developing GPZs maps worldwide.…”