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

Geostatistical Modelling Of Groundwater Storage Variations Using Insar Remote Sensing Data.

GHOZIAN KARAM

Titre : Geostatistical Modelling Of Groundwater Storage Variations Using Insar Remote Sensing Data.

Auteur : GHOZIAN KARAM

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

Grade : Master of Science (MS) 2022

Résumé
Solving the water shortage problem and estimating groundwater depletion in aquifers is a primary concern to water planners in Saudi Arabia. One of the common issues in Saudi Arabia is the existence of limited in-situ groundwater data. Hence, monitoring the groundwater abstraction and storage variations becomes more difficult. The main objective of this study is to use InSAR and GRACE satellite data to remotely assess groundwater storage changes in a cultivated area. Geostatistics is used to estimate the unknown values due to the lack of coherence in cultivated areas. A high rate of groundwater extraction is displayed in Wadi Al Sirhan Basin, Saudi Arabia, from February to March 2021. The groundwater extraction from GRACE (443.68 MCM) represents the whole affected aquifer area, including all overlying aquifers. Meanwhile, InSAR (113.68 MCM) estimates the Tawil Aquifer only. This study assumes that groundwater depletion happened because of the agricultural area’s groundwater extraction activities. The positive correlation between the groundwater storage change generated by GRACE satellite data and the groundwater storage change generated from InSAR confirms the model validity. The examined approach could provide planners with a tool to remotely monitor hydraulic head variations and estimate groundwater storage changes due to groundwater pumping without much dependency on in-situ data. This advanced practice could help reduce costs, sustain aquifers, and manage groundwater resources.

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Page publiée le 6 mai 2022