Journal of Geographic Information System, 2022, 14, 113-133 https://www.scirp.org/journal/jgis ISSN Online: 2151-1969 ISSN Print: 2151-1950 DOI: 10.4236/jgis.2022.142007 Mar. 3, 2022 113 Journal of Geographic Information System A GIS-Agriflux Modeling and AHP Techniques for Groundwater Potential Zones Mapping Nadia Trabelsi 1* , Imen Hentati 1 , Ibtissem Triki 1 , Moncef Zairi 1 , Olivier Banton 2 1 Laboratoire Eau, Energie, Environnement, Ecole Nationale d’Ingénieurs de Sfax, Sfax, Tunisia 2 Laboratoire d’Hydrogéologie d’Avignon, Avignon, France Abstract Groundwater is considered as the main portion of the water supply in arid and semi-arid regions. The Sfax plain area is part of the arid/semi-arid areas of Tunisia that are subject to the impact of climatic and human pressures. Water scarcity in combination with groundwater exploitation is a major con- cern in this region. Therefore, sustainable management and protection of groundwater resources, it necessary. The delineation of groundwater potential (GP) zones becomes an increasingly important tool for implementing success- ful management programs. The purpose of the present paper is to assess the potential zone of groundwater resources in the study area. An efficient ap- proach using geographical information system (GIS), hydrological modelling and analytical hierarchy process (AHP) was developed. At first, six ground- water parameters that affect groundwater occurrences are derived from the spatial geodatabase. Those parameters are: Infiltration rate estimated from a GIS linked model, lineament density, drainage density, slope, rainfall and Land use/land cover. Then, the assigned weights of thematic layers based on expert knowledge were normalized by eigenvector technique of AHP. The parameter layers were integrated and modeled using a weighted linear combination (WLC). The resulting map was classified into four categories: very low, low, good, and excellent. The results showed that about 26% of the study area falls under very-low-potential zone, with 30% on low-potential zone, 21% with good potential zone, and 23% falling under excellent zone. The results of the analysis were validated using pumping rate data and curve trend of sensitivity classes theory validation of outcomes indicated a good prediction accuracy. The results of the present study can serve to prepare a comprehensive ground- water development and management plans proving its efficacy in this art of exploratory investigations. How to cite this paper: Trabelsi, N., Hen- tati, I., Triki, I., Zairi, M. and Banton, O. (2022) A GIS-Agriflux Modeling and AHP Techniques for Groundwater Potential Zones Mapping. Journal of Geographic Informa- tion System, 14, 113-133. https://doi.org/10.4236/jgis.2022.142007 Received: December 29, 2021 Accepted: February 28, 2022 Published: March 3, 2022 Copyright © 2022 by author(s) and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ Open Access