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King Fahd University of Petroleum and Minerals. (KFUPM) 2022

IDENTIFICATION OF AQUIFER STORAGE AND RECOVERY POTENTIAL SITES IN CENTRAL – EAST REGION OF SAUDI ARABIA

RATNO PAMBUDI

Titre : IDENTIFICATION OF AQUIFER STORAGE AND RECOVERY POTENTIAL SITES IN CENTRAL – EAST REGION OF SAUDI ARABIA

Auteur : RATNO PAMBUDI

Université de soutenance : King Fahd University of Petroleum and Minerals. (KFUPM)

Grade : Master thesis 2022

Résumé
Groundwater is a significant source of water supply in arid and semi-arid countries, like Saudi Arabia. It accommodates approximately 75–85 percent of the country’s entire water supply during the last decades. Due to domestic, industrial, and agricultural purposes, groundwater’s abstraction was increased significantly. As a result, several areas of the country are experiencing groundwater depletion and water supply scarcity. Alternative solutions are required to explore new other water sources and to develop innovative management strategies to meet current and future water demand. Aquifer Storage & Recovery (ASR) is a significant approach for managing and restoring water resources that could provide water to the community. In establishing the ASR project, selecting suitable sites is an essential and critical factor of project success. The goal of this research is to identify potential sites for Aquifer Storage and Recovery (ASR) in central–east region of Saudi Arabia by integrating GIS, remote sensing, and Multi-Criteria Decision Analysis (MCDA) methodologies. The thematic data layers including Aquifer system, Geomorphology, Slope, Soil Textures, distance to lineament, Land cover, Aquifer depth, Aquifer thickness, Aquifer transmissivity, Groundwater salinity, and sources of injecting water (e.g. desalination plant and sewage treatment plant) were developed and utilized for the delineation of ASR potential sites. Each thematic layer was weighted according to its characteristics and relationship to groundwater recharge. Finally, a weighted sum overlay analysis technique was used to integrate the thematic maps in order to identify suitable ASR locations. The map of artificial recharge zones was categorized into four different types, namely Good, Moderate, Low, and Very low. The good categories of ASR potential sites was selected as high priority depending on their proximity to the sources of injecting water (e.g. desalination plant and sewage treatment plant). The integration of GIS, Remote Sensing, and MCDA - Weighted Overlay Analysis (WOA) methods is assumed powerful tool for delineating ASR potential sites in the semi-arid region.

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Page publiée le 18 janvier 2023