Efficiency of Geospatial Technology and Multi-Criteria Decision Analysis for Groundwater Potential Mapping in a Semi-Arid Region

The increasing water demand in Egypt causes massive stress on groundwater resources. The high variability in the groundwater depth, aquifer properties, terrain characteristics, and shortage of rainfall make it necessary to identify the groundwater potentiality in semi-arid regions. This study used t...

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Main Authors: Ahmed M. Masoud, Quoc Bao Pham, Ahmed K. Alezabawy, Sherif A. Abu El-Magd
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/14/6/882
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author Ahmed M. Masoud
Quoc Bao Pham
Ahmed K. Alezabawy
Sherif A. Abu El-Magd
author_facet Ahmed M. Masoud
Quoc Bao Pham
Ahmed K. Alezabawy
Sherif A. Abu El-Magd
author_sort Ahmed M. Masoud
collection DOAJ
description The increasing water demand in Egypt causes massive stress on groundwater resources. The high variability in the groundwater depth, aquifer properties, terrain characteristics, and shortage of rainfall make it necessary to identify the groundwater potentiality in semi-arid regions. This study used the possibilities of multi-criteria decision approaches (MCDA), geographical information system (GIS), and groundwater field data to delineate potential groundwater zones in the Tushka area, west of Lake Nasser, South Egypt. Furthermore, groundwater potentiality identification can help decision-makers better plan and manage the water resources in this promising area. Eight controlling factors were utilized to achieve the objective of the present work using multi-criteria decision analysis (MCDA) approaches, namely the analytical hierarchy process (AHP) and frequency ratio (FR) models. The controlling parameters were integrated with the geographic information system (GIS) to develop the zones of groundwater potentialities. The results revealed that high and moderate-potential zones cover approximately 61% and 52% of the total area in the AHP and FR models, respectively. A total of 44 groundwater production wells along with the well yield were collected and used to validate the models. The results were evaluated using the receiver operating characteristics (ROC) curve. The best-performing prediction rates achieved by AHP and FR were 83% and 81%, respectively. Finally, the obtained results indicated that the AHP model achieved better performance than the FR model.
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spelling doaj.art-514277945a624a5b86b5330018e4dae12023-11-30T22:48:39ZengMDPI AGWater2073-44412022-03-0114688210.3390/w14060882Efficiency of Geospatial Technology and Multi-Criteria Decision Analysis for Groundwater Potential Mapping in a Semi-Arid RegionAhmed M. Masoud0Quoc Bao Pham1Ahmed K. Alezabawy2Sherif A. Abu El-Magd3Geology Department, Faculty of Science, Sohag University, Sohag 82524, EgyptFaculty of Natural Sciences, Institute of Earth Sciences, University of Silesia in Katowice, Będzińska Street 60, 41-200 Sosnowiec, PolandGeology Department, Faculty of Science, Helwan University, Cairo 11795, EgyptGeology Department, Faculty of Science, Suez University, Suez 43518, EgyptThe increasing water demand in Egypt causes massive stress on groundwater resources. The high variability in the groundwater depth, aquifer properties, terrain characteristics, and shortage of rainfall make it necessary to identify the groundwater potentiality in semi-arid regions. This study used the possibilities of multi-criteria decision approaches (MCDA), geographical information system (GIS), and groundwater field data to delineate potential groundwater zones in the Tushka area, west of Lake Nasser, South Egypt. Furthermore, groundwater potentiality identification can help decision-makers better plan and manage the water resources in this promising area. Eight controlling factors were utilized to achieve the objective of the present work using multi-criteria decision analysis (MCDA) approaches, namely the analytical hierarchy process (AHP) and frequency ratio (FR) models. The controlling parameters were integrated with the geographic information system (GIS) to develop the zones of groundwater potentialities. The results revealed that high and moderate-potential zones cover approximately 61% and 52% of the total area in the AHP and FR models, respectively. A total of 44 groundwater production wells along with the well yield were collected and used to validate the models. The results were evaluated using the receiver operating characteristics (ROC) curve. The best-performing prediction rates achieved by AHP and FR were 83% and 81%, respectively. Finally, the obtained results indicated that the AHP model achieved better performance than the FR model.https://www.mdpi.com/2073-4441/14/6/882groundwater potential zonethe analytic hierarchy processfrequency ratio modelGISLake Nasser
spellingShingle Ahmed M. Masoud
Quoc Bao Pham
Ahmed K. Alezabawy
Sherif A. Abu El-Magd
Efficiency of Geospatial Technology and Multi-Criteria Decision Analysis for Groundwater Potential Mapping in a Semi-Arid Region
Water
groundwater potential zone
the analytic hierarchy process
frequency ratio model
GIS
Lake Nasser
title Efficiency of Geospatial Technology and Multi-Criteria Decision Analysis for Groundwater Potential Mapping in a Semi-Arid Region
title_full Efficiency of Geospatial Technology and Multi-Criteria Decision Analysis for Groundwater Potential Mapping in a Semi-Arid Region
title_fullStr Efficiency of Geospatial Technology and Multi-Criteria Decision Analysis for Groundwater Potential Mapping in a Semi-Arid Region
title_full_unstemmed Efficiency of Geospatial Technology and Multi-Criteria Decision Analysis for Groundwater Potential Mapping in a Semi-Arid Region
title_short Efficiency of Geospatial Technology and Multi-Criteria Decision Analysis for Groundwater Potential Mapping in a Semi-Arid Region
title_sort efficiency of geospatial technology and multi criteria decision analysis for groundwater potential mapping in a semi arid region
topic groundwater potential zone
the analytic hierarchy process
frequency ratio model
GIS
Lake Nasser
url https://www.mdpi.com/2073-4441/14/6/882
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