Content area

Abstract

Groundwater is a rare and valuable resource in arid and hyperarid areas. Over the past few decades, population growth, urbanization, and agricultural activities—particularly in developing countries like Egypt—have greatly increased the demand for water supplies. The purpose of this study is to apply a multi-criteria analytical hierarchy process (AHP) in conjunction with remote sensing and geographic information systems methodologies to identify potential zones for groundwater recharge in Wadi Qena, Eastern Desert of Egypt. This valley is considered as one of the most potential valleys for government-led land reclamation and development initiatives. Using several data sources (e.g., Landsat-8 Enhanced Thematic Mapper Plus and Shuttle Radar Topography Mission), as well as all available geologic and hydrogeological data, thematic maps were prepared and combined based on 15 spatial criteria. Using AHP-based specialized knowledge and expert judgment, the study assigned weights to spatial criteria layers and classified Wadi Qena catchment area into five zones: very high (11.75%), high (29.30%), moderate (8.86%), low (47.55%), and very low (2.50%), with the southwestern part having a very high recharge and storage capacity. The model's accuracy was confirmed by comparing the obtained groundwater potential map with the available borehole data and daily productivity from the groundwater aquifers within the valley (e.g., ROC curve with AUC = 0.94). The results demonstrate that the integration of AHP, remote sensing, and GIS techniques is effective for precise groundwater resource assessment, planning, and monitoring in arid regions like Wadi Qena. These insights can assist decision-makers in water-scarce areas in making informed decisions regarding the conservation and sustainable management of groundwater resources.

Details

1009240
Title
Geospatial intelligence and multi-criteria analysis for mapping groundwater potential zones and sustainable resource management in Wadi Qena Basin, Eastern Desert, Egypt
Publication title
Volume
15
Issue
7
Pages
145
Publication year
2025
Publication date
Jul 2025
Publisher
Springer Nature B.V.
Place of publication
Heidelberg
Country of publication
Netherlands
Publication subject
ISSN
21905487
e-ISSN
21905495
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-05-30
Milestone dates
2025-04-21 (Registration); 2024-08-10 (Received); 2025-04-18 (Accepted)
Publication history
 
 
   First posting date
30 May 2025
ProQuest document ID
3214008578
Document URL
https://www.proquest.com/scholarly-journals/geospatial-intelligence-multi-criteria-analysis/docview/3214008578/se-2?accountid=208611
Copyright
Copyright Springer Nature B.V. Jul 2025
Last updated
2025-08-22
Database
ProQuest One Academic