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Article

An Integrated GIS and Remote Sensing Approach for Assessing Rainfall Volume and Groundwater Recharge in Wadi AS SAHBAA, Saudi Arabia

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Department of Geography and GIS, College of Arts, Beni Suef University, Beni Suef 62511, Egypt
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Department of Geography and Environmental Sustainability, College of Humanities and Social Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
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Department of Geography, College of Arts and Social Sciences, Sultan Qaboos University, P.O. Box 79, Muscat City 123, Oman
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Department of Geography, College of Languages and Human Sciences, Qassim University, Buraydah 51452, Saudi Arabia
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Department of Geology, Tanta University, Tanta 31527, Egypt
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Department of Mineralogy and Geology, University of Debrecen, 4032 Debrecen, Hungary
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Department of Natural Studies, General Organization for Physical Planning (GOPP), Ministries District, New Administrative Capital, Cairo 85863, Egypt
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Department of GIS and Environment, Enshaat Al-Sayer General Trading and Contracting Company, Floors 14 & 19, Panasonic Tower, Safat, P.O. Box 126, Kuwait City 13002, Kuwait
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Authors to whom correspondence should be addressed.
Water 2026, 18(16), 2023; https://doi.org/10.3390/w18162023
Submission received: 12 May 2026 / Revised: 3 August 2026 / Accepted: 7 August 2026 / Published: 18 August 2026

Abstract

Water security is a significant challenge for the Saudi Arabia Kingdom’s development and stability, affecting other economic sectors beyond the water sector. Insufficient water resources are causing economic and social crises; addressing this issue is crucial for the country’s growth and stability. This study aims to manage water resources in central Saudi Arabia (Wadi AS SAHBAA) through a two-level approach. The first level involves extracting rainfall amounts from satellite imagery to predict future rainfall intensity using PERSIANN-CCS-CDR data. The second level focuses on monitoring groundwater recharge using geographic information systems (GIS) and remote sensing techniques. The study further seeks to understand rainstorm behavior influenced by climate variability and applies geomatics techniques for quantitative analysis. The results show that the Wadi AS SAHBAA basin receives an annual precipitation of 116.6 mm/year and mean annual precipitation of 9.7 mm. The year 2019 experienced the highest recorded precipitation, reaching 222.3 mm and mean annual precipitation of 18.5 mm. Between 2013 and 2019, the AS SAHBAA region experienced increased rainfall driven by intense storm events; however, it declined during the period 2020–2022. Moreover, 2021 recorded the lowest annual precipitation of 53.8 mm with mean annual precipitation of (4.5 mm), possibly linked to reduced storm activity due to the COVID-19 pandemic. The study uses several methods to estimate groundwater recharge from rainfall and concludes that the average infiltration during 2013–2022 was varying from 1.59–36.63 mm, representing about between 1.03 and 28.5% of total rainfall. This is reflected in groundwater storage capacity, which ranges from approximately 1.65 to 38.27 million m3 yearly. This study provides a framework for monitoring precipitation and groundwater recharge and offers practical recommendations for regional development and sustainable water management.
Keywords: water management strategy; freshwater resources; rainfall intensity; PERSIANN-CCS-CDR; groundwater recharge; geomatics techniques; infiltration; storage capacity water management strategy; freshwater resources; rainfall intensity; PERSIANN-CCS-CDR; groundwater recharge; geomatics techniques; infiltration; storage capacity

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MDPI and ACS Style

Mohamed, H.; Al-Mutiry, M.; Hafez, E.; Al-Balushi, A.; Almohamad, H.; Shebl, A.; Atalla, M.A. An Integrated GIS and Remote Sensing Approach for Assessing Rainfall Volume and Groundwater Recharge in Wadi AS SAHBAA, Saudi Arabia. Water 2026, 18, 2023. https://doi.org/10.3390/w18162023

AMA Style

Mohamed H, Al-Mutiry M, Hafez E, Al-Balushi A, Almohamad H, Shebl A, Atalla MA. An Integrated GIS and Remote Sensing Approach for Assessing Rainfall Volume and Groundwater Recharge in Wadi AS SAHBAA, Saudi Arabia. Water. 2026; 18(16):2023. https://doi.org/10.3390/w18162023

Chicago/Turabian Style

Mohamed, Hany, Motrih Al-Mutiry, Emad Hafez, Ali Al-Balushi, Hussein Almohamad, Ali Shebl, and Mohamed A. Atalla. 2026. "An Integrated GIS and Remote Sensing Approach for Assessing Rainfall Volume and Groundwater Recharge in Wadi AS SAHBAA, Saudi Arabia" Water 18, no. 16: 2023. https://doi.org/10.3390/w18162023

APA Style

Mohamed, H., Al-Mutiry, M., Hafez, E., Al-Balushi, A., Almohamad, H., Shebl, A., & Atalla, M. A. (2026). An Integrated GIS and Remote Sensing Approach for Assessing Rainfall Volume and Groundwater Recharge in Wadi AS SAHBAA, Saudi Arabia. Water, 18(16), 2023. https://doi.org/10.3390/w18162023

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