Integrating of remote sensing, GIS and geophysical data for recharge potentiality evaluation in Wadi El Tarfa, eastern desert, Egypt

Date

2020

Authors

Ahmed, A.A.
Shabana, A.R.

Editors

Advisors

Journal Title

Journal ISSN

Volume Title

Type:

Journal article

Citation

Journal of African Earth Sciences, 2020; 172(103957):1-15

Statement of Responsibility

Conference Name

Abstract

In Egypt, water resources management is considered a major socio-economic issue and a central component for future development. With the increasing rate of population growth, urbanization and agricultural expansion, groundwater resources are gaining more demand and attention. Wadi El Tarfa area is one of the semi-arid areas located in the Eastern Desert of Egypt, composed of Cretaceous and Eocene limestone and Quaternary sediments. This study focused on delineation, evaluation and verification of the groundwater potential zones using remote sensing, geospatial techniques and field work. In this regard, thematic maps of the contributing factors such as stream networks, lineaments, lithology, slope, landcover/landuse and rainfall were generated using the Geographic Information Systems (GIS) and Remote Sensing (RS) techniques. Based on the determined recharge favorability, weighing, and overlaying, a groundwater potential of the study area was prepared. The output recharge potential map shows three zones of groundwater prospective potential: good, moderate and low constituting 25%, 69% and 6% of the study area respectively. Of them, the high and moderate zones are strongly recommended for further exploration. The geophysical, water data and transmissivity data for some water points located within the targeted area confirmed the recommended zones. The overall results reflect the effectiveness of using the remote sensing data and geospatial techniques to target areas for groundwater exploration.

School/Discipline

Dissertation Note

Provenance

Description

Data source: Supplementary data, https://doi.org/10.1016/j.jafrearsci.2020.103957

Access Status

Rights

Copyright 2020 Elsevier

License

Grant ID

Call number

Persistent link to this record