LithoSFR Model for Mapping Groundwater Potential Zones Using Remote Sensing and GIS

Author:

Shaban Amin1,Farhat Nasser2ORCID,El-Hage Mhamad3ORCID,Fadel Batoul2,Sheib Ali4,Bitar Alaa2,Darwish Doha2

Affiliation:

1. National Council for Scientific Research (CNRS-L), Beirut P.O. Box 11-8281, Lebanon

2. The Lebanese Center for Water and Environment (LCWE), Beirut, Lebanon

3. Geospatial Studies Laboratory, Lebanese University (LU), Tripoli 1300, Lebanon

4. Department of Geography, University of Zurich (ZUH), 8057 Zürich, Switzerland

Abstract

Groundwater is a significant source of water supply, especially with depleted and quality-deteriorated surface water. The number of drilled boreholes for groundwater has been increased, but erroneous results often occur while selecting sites for digging boreholes. This makes it necessary to follow a science-based method indicating potential zones for groundwater storage. The LithoSFR Model is a systematic approach we built to create an indicative map with various categories for potential groundwater sites. It is based mainly on retrieved geospatial data from satellite images and from available thematic maps, plus borehole data. The geospatial data were systematically manipulated in a GIS with multi-criteria applications. The novelty of this model includes the empirical calculation of the level each controlling factor (i.e., weights and rates), as well as the LithoSFR Model, adopting new factors in its design. This study was applied on a representative Mediterranean region, i.e., Lebanon. Results showed that 44% of the studied region is characterized by a very high to high potentiality for groundwater storage, mainly in areas with fractured and karstified carbonate rocks. The obtained results from the produced map were compared with datasets which were surveyed from representative boreholes to identify the discharge in the dug boreholes, and then to compare them with the potential zones in the produced map The reliability of the produced map exceeded 87%, making it a significant tool to identify potential zones for groundwater investment.

Funder

Water and Development Partnership Programme (DUPC3), IHE Delft, the Netherlands

Publisher

MDPI AG

Reference72 articles.

1. Shaban, A. (2020). Water Resources of Lebanon, Springer Science Publisher.

2. Shaban, A., and Hamzé, M. (2016). Shared Water Resources of Lebanon, Nova.

3. Massoud, E., Liu, Z., Shaban, A., and El Hage, M. (2021). Groundwater depletion signals in the Beqaa Plain, Lebanon: Evidence from GRACE and Sentinel-1 data. Remote Sens., 13.

4. MoPW (2023, November 19). National Water Sector Strategy. Available online: http://extwprlegs1.fao.org/docs/pdf/leb166572E.pdf.

5. FAO (2023, November 19). Information System on Water and Agriculture-Aqua-stat Lebanon. Available online: http://www.fao.org/nr/water/aquastat/countries/lebanon/index.stm.

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