Vulnerability of a Tunisian Coastal Aquifer to Seawater Intrusion: Insights from the GALDIT Model
Adel Zghibi,
Amira Merzougui,
Abubakarr S. Mansaray,
Ali Mirchi,
Lahcen Zouhri,
Anis Chekirbane,
Mohamed Haythem Msaddek,
Dhekra Souissi,
Amina Mabrouk-El-Asmi,
Abdelmadjid Boufekane
Affiliations
Adel Zghibi
LR01ES06 Laboratory of Geological Resources and Environment, Department of Geology, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 2092, Tunisia
Amira Merzougui
National Institute of Agronomy, University of Carthage, Tunis 1082, Tunisia
Abubakarr S. Mansaray
Oklahoma Water Resources Center, Division of Agricultural Sconce and Natural Resources, Oklahoma State University, Stillwater, OK 74078, USA
Ali Mirchi
Department of Biosystems and Agricultural Engineering, Oklahoma State University, 111 Agricultural Hall, Stillwater, OK 74078, USA
Lahcen Zouhri
AGHYLE, SFR Condorcet FR CNRS 3417, Polytechnic Institute UniLaSalle Beauvais, 19 Pierre Waguet Street, 60026 Beauvais, France
Anis Chekirbane
National Institute of Agronomy, University of Carthage, Tunis 1082, Tunisia
Mohamed Haythem Msaddek
LR01ES06 Laboratory of Geological Resources and Environment, Department of Geology, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 2092, Tunisia
Dhekra Souissi
LR01ES06 Laboratory of Geological Resources and Environment, Department of Geology, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 2092, Tunisia
Amina Mabrouk-El-Asmi
Laboratory of Sedimentary Basins and Petroleum Geology, Department of Geology, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 2092, Tunisia
Abdelmadjid Boufekane
Department of Geology Geo-Environment Laboratory, Faculty of Earth Sciences and Country Planning, University of Sciences and Technology Houari Boumediene, Algiers 09000, Algeria
The Korba region in northwestern Tunisia has a coastal aquifer that is impacted by intensive irrigation, urban expansion, and sensitivity to SWI. We assessed the vulnerability extent of Korba’s GW to SWI. We utilized a parametric model for GW vulnerability assessment, the GALDIT, which considers six parameters to determine SWI effects. The GALDIT map has four rating categories (≥7.5, 7.5–5, 5–2.5, and 2. Inhibiting SWI requires about 11.31 MCM of artificial recharge in the two most suitable recharge zones in the region.
