Vulnerability of a Tunisian Coastal Aquifer to Seawater Intrusion: Insights from the GALDIT Model

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...

Full description

Bibliographic Details
Main Authors: Adel Zghibi, Amira Merzougui, Abubakarr S. Mansaray, Ali Mirchi, Lahcen Zouhri, Anis Chekirbane, Mohamed Haythem Msaddek, Dhekra Souissi, Amina Mabrouk-El-Asmi, Abdelmadjid Boufekane
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/14/7/1177
_version_ 1797437354716168192
author Adel Zghibi
Amira Merzougui
Abubakarr S. Mansaray
Ali Mirchi
Lahcen Zouhri
Anis Chekirbane
Mohamed Haythem Msaddek
Dhekra Souissi
Amina Mabrouk-El-Asmi
Abdelmadjid Boufekane
author_facet Adel Zghibi
Amira Merzougui
Abubakarr S. Mansaray
Ali Mirchi
Lahcen Zouhri
Anis Chekirbane
Mohamed Haythem Msaddek
Dhekra Souissi
Amina Mabrouk-El-Asmi
Abdelmadjid Boufekane
author_sort Adel Zghibi
collection DOAJ
description 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 <2.5), representing very high, high, moderate, and low vulnerability, respectively. Most of the region was found to be highly vulnerable (44.2% of the surface area), followed by areas characterized by very high (20.3%) and moderate (19.3%) vulnerability. Only 16.2% was found to have low vulnerability. A parameter sensitivity analysis showed that distance from shore and depth of GW represent the determining factors for SWI with variation index values of 24.12 and 18.02%, respectively. Inland advancement of seawater is causing GW salinity to rise, as indicated by a strong Pearson correlation coefficient of 0.75 between SWI indices and the electrical conductivity. Suitable areas for artificial recharge were mainly distributed in the alluvial plains, with a total area of 32.85 km<sup>2</sup>. Inhibiting SWI requires about 11.31 MCM of artificial recharge in the two most suitable recharge zones in the region.
first_indexed 2024-03-09T11:19:00Z
format Article
id doaj.art-425267b887e44292bb02ce04298a4536
institution Directory Open Access Journal
issn 2073-4441
language English
last_indexed 2024-03-09T11:19:00Z
publishDate 2022-04-01
publisher MDPI AG
record_format Article
series Water
spelling doaj.art-425267b887e44292bb02ce04298a45362023-12-01T00:23:14ZengMDPI AGWater2073-44412022-04-01147117710.3390/w14071177Vulnerability of a Tunisian Coastal Aquifer to Seawater Intrusion: Insights from the GALDIT ModelAdel Zghibi0Amira Merzougui1Abubakarr S. Mansaray2Ali Mirchi3Lahcen Zouhri4Anis Chekirbane5Mohamed Haythem Msaddek6Dhekra Souissi7Amina Mabrouk-El-Asmi8Abdelmadjid Boufekane9LR01ES06 Laboratory of Geological Resources and Environment, Department of Geology, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 2092, TunisiaNational Institute of Agronomy, University of Carthage, Tunis 1082, TunisiaOklahoma Water Resources Center, Division of Agricultural Sconce and Natural Resources, Oklahoma State University, Stillwater, OK 74078, USADepartment of Biosystems and Agricultural Engineering, Oklahoma State University, 111 Agricultural Hall, Stillwater, OK 74078, USAAGHYLE, SFR Condorcet FR CNRS 3417, Polytechnic Institute UniLaSalle Beauvais, 19 Pierre Waguet Street, 60026 Beauvais, FranceNational Institute of Agronomy, University of Carthage, Tunis 1082, TunisiaLR01ES06 Laboratory of Geological Resources and Environment, Department of Geology, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 2092, TunisiaLR01ES06 Laboratory of Geological Resources and Environment, Department of Geology, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 2092, TunisiaLaboratory of Sedimentary Basins and Petroleum Geology, Department of Geology, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 2092, TunisiaDepartment of Geology Geo-Environment Laboratory, Faculty of Earth Sciences and Country Planning, University of Sciences and Technology Houari Boumediene, Algiers 09000, AlgeriaThe 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 <2.5), representing very high, high, moderate, and low vulnerability, respectively. Most of the region was found to be highly vulnerable (44.2% of the surface area), followed by areas characterized by very high (20.3%) and moderate (19.3%) vulnerability. Only 16.2% was found to have low vulnerability. A parameter sensitivity analysis showed that distance from shore and depth of GW represent the determining factors for SWI with variation index values of 24.12 and 18.02%, respectively. Inland advancement of seawater is causing GW salinity to rise, as indicated by a strong Pearson correlation coefficient of 0.75 between SWI indices and the electrical conductivity. Suitable areas for artificial recharge were mainly distributed in the alluvial plains, with a total area of 32.85 km<sup>2</sup>. Inhibiting SWI requires about 11.31 MCM of artificial recharge in the two most suitable recharge zones in the region.https://www.mdpi.com/2073-4441/14/7/1177groundwater (GW) vulnerability indexGALDIT indexparameters’ sensitivityartificial rechargeseawater intrusion (SWI)Korba aquifer
spellingShingle Adel Zghibi
Amira Merzougui
Abubakarr S. Mansaray
Ali Mirchi
Lahcen Zouhri
Anis Chekirbane
Mohamed Haythem Msaddek
Dhekra Souissi
Amina Mabrouk-El-Asmi
Abdelmadjid Boufekane
Vulnerability of a Tunisian Coastal Aquifer to Seawater Intrusion: Insights from the GALDIT Model
Water
groundwater (GW) vulnerability index
GALDIT index
parameters’ sensitivity
artificial recharge
seawater intrusion (SWI)
Korba aquifer
title Vulnerability of a Tunisian Coastal Aquifer to Seawater Intrusion: Insights from the GALDIT Model
title_full Vulnerability of a Tunisian Coastal Aquifer to Seawater Intrusion: Insights from the GALDIT Model
title_fullStr Vulnerability of a Tunisian Coastal Aquifer to Seawater Intrusion: Insights from the GALDIT Model
title_full_unstemmed Vulnerability of a Tunisian Coastal Aquifer to Seawater Intrusion: Insights from the GALDIT Model
title_short Vulnerability of a Tunisian Coastal Aquifer to Seawater Intrusion: Insights from the GALDIT Model
title_sort vulnerability of a tunisian coastal aquifer to seawater intrusion insights from the galdit model
topic groundwater (GW) vulnerability index
GALDIT index
parameters’ sensitivity
artificial recharge
seawater intrusion (SWI)
Korba aquifer
url https://www.mdpi.com/2073-4441/14/7/1177
work_keys_str_mv AT adelzghibi vulnerabilityofatunisiancoastalaquifertoseawaterintrusioninsightsfromthegalditmodel
AT amiramerzougui vulnerabilityofatunisiancoastalaquifertoseawaterintrusioninsightsfromthegalditmodel
AT abubakarrsmansaray vulnerabilityofatunisiancoastalaquifertoseawaterintrusioninsightsfromthegalditmodel
AT alimirchi vulnerabilityofatunisiancoastalaquifertoseawaterintrusioninsightsfromthegalditmodel
AT lahcenzouhri vulnerabilityofatunisiancoastalaquifertoseawaterintrusioninsightsfromthegalditmodel
AT anischekirbane vulnerabilityofatunisiancoastalaquifertoseawaterintrusioninsightsfromthegalditmodel
AT mohamedhaythemmsaddek vulnerabilityofatunisiancoastalaquifertoseawaterintrusioninsightsfromthegalditmodel
AT dhekrasouissi vulnerabilityofatunisiancoastalaquifertoseawaterintrusioninsightsfromthegalditmodel
AT aminamabroukelasmi vulnerabilityofatunisiancoastalaquifertoseawaterintrusioninsightsfromthegalditmodel
AT abdelmadjidboufekane vulnerabilityofatunisiancoastalaquifertoseawaterintrusioninsightsfromthegalditmodel