Mapping groundwater recharge potential zones in arid region using GIS and Landsat approaches, southeast Tunisia

Souissi, Dhekra; Msaddek, Mohamed Haythem; Zouhri, Lahcen; Chenini, Ismail; May, Moufida El; Dlala, Mahmoud

doi:10.1080/02626667.2017.1414383

Cited by 80 publications

(29 citation statements)

References 41 publications

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“…We identified suitable sites for groundwater recharge through a knowledge-based analysis of eight factors, namely rainfall, lineament density, slope, drainage density, land use/land cover, lithology, geomorphology and soil type layers [41][42][43][44]. These factors were examined independently for groundwater recharge zoning to estimate recharge rates.…”

Section: Methodsmentioning

confidence: 99%

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Using Analytical Hierarchy Process and Multi-Influencing Factors to Map Groundwater Recharge Zones in a Semi-Arid Mediterranean Coastal Aquifer

Zghibi

Mirchi

Msaddek

et al. 2020

Water

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Mapping groundwater recharge zones (GWRZs) is essential for planning artificial recharge programs to mitigate groundwater decline and saltwater intrusion into coastal aquifers. We applied two multi-criteria decision-making approaches, namely the analytical hierarchy process (AHP) and the multi-influencing factors (MIF), to map GWRZs in the Korba aquifer in northeastern Tunisia. GWRZ results from the AHP indicate that the majority (69%) of the area can be classified as very good and good for groundwater recharge. The MIF results suggest larger (80.7%) very good and good GWRZs. The GWRZ maps improve groundwater balance calculations by providing estimates of recharge-precipitation ratios to quantify percolation. Lithology, land use/cover and slope were the most sensitive parameters followed by geomorphology, lineament density, rainfall, drainage density and soil type. The AHP approach produced relatively more accurate results than the MIF technique based on correlation of the obtained GWRZs with groundwater well discharge data from 20 wells across the study area. The accuracy of the approaches ultimately depends on the classification criteria, mean rating score and weights assigned to the thematic layers. Nonetheless, the GWRZ maps suggest that there is ample opportunity to implement aquifer recharge programs to reduce groundwater stress in the Korba aquifer.

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Section: Methodsmentioning

confidence: 99%

“…Drainage density (DD): DD is another factor that affects the movement of water and groundwater recharge [44,48,55]. It is a measure of how a watershed is drained by stream channels.…”

Section: Evaluation Of Factors Governing Groundwater Recharge Zonesmentioning

confidence: 99%

Using Analytical Hierarchy Process and Multi-Influencing Factors to Map Groundwater Recharge Zones in a Semi-Arid Mediterranean Coastal Aquifer

Zghibi

Mirchi

Msaddek

et al. 2020

Water

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“…Despite the many methods used in MCDM applications, the most common is AHP. In the selection of the appropriate areas, considering the relative impact of the various criteria in relation to each other [67] gives useful results in groundwater-discharge assessment [68][69][70][71]. The model used in this study allowed us to identify areas with high, medium, and low potential for groundwater charging zones.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Groundwater Potential by GIS-Based Multicriteria Decision Making as a Spatial Prediction Tool: Case Study in the Tigris River Batman-Hasankeyf Sub-Basin, Turkey

Çelik

2019

Water

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The Tigris River Batman-Hasankeyf region sub-basin drainage area is in the Upper Tigris basin and lies between the area where the Batman stream joins the river and the Yanarsu stream flows into the river. Intensive agricultural activities are carried out in this region, and irrigation is generally obtained from groundwater just as it moves away from the riverfront. The study area is a valuable basin for both Turkey and the Middle East. In this study, the effectiveness of the Geographic Information System (GIS)-based multicriteria decision-making (MCDM) analytic hierarchy process (AHP) as a spatial prediction tool was utilized in exploring the groundwater potential of the drainage area. In the analysis, eight hydrological and hydrogeological criteria were considered as influencing factors, namely, geomorphology, geology, rainfall, drainage density, slope, lineament density, land use, and soil properties. The weights of these criteria were determined through the AHP method; the Arc GIS 10.2.2 program and its submodules were used. The major findings of the study were that groundwater-potential index values of the basin were derived. Groundwater-potential-zone evaluation of the basin was obtained as follows: very poor (19%), poor (17%), moderate (34%), good (17%), very good (13%); and groundwater potential zone (GWPZ) maps of the sub-basin were created. 2 of 16 model [8]. Most of these methods are based on multivariate statistical techniques [9]. In contrast, the analytical hierarchy process (AHP) is considered to be a simple, effective, transparent, and reliable technique [10]. The AHP method is easy to identify in a useful way by integrating geographic information system (GIS) and remote sensing (RS) data. Groundwater parameters such as precipitation, aquifers, land use, and soil type can easily be defined as spatial data in a GIS environment. Thus, the method is very useful for identifying potential groundwater areas and is well-suited for the useful identification of groundwater-potential regions [11][12][13]. AHP is an approach that was developed by Thomas L. Saaty in the early 1980s [14]. It was developed with planned criteria according to a certain stage, evaluating the weights of these criteria, and comparing the criteria with other similar studies [15,16]. It is possible and preferable to determine hydrological and hydrogeological parameters that influence groundwater formation and their effects on groundwater formation and generate potential groundwater maps with GIS-based Multicriteria Decision-Making (MCDM) techniques. GIS-based multicriteria decision analysis (MCDA) has been extensively used in the field of hydrological and water resources [16,17]. It has gained popularity in the last decade as it provides GIS-based mapping [18].Most current studies [19][20][21][22] widely applied RS-and GIS-based AHP-MCDM techniques for the assessment of Groundwater Potential Zones (GWPZs) with effective results. When these studies were examined, it was found that land use (LU), geomorphology (GM), geology (G), recharge...

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“…In re cent years, spread-out use of re motely sensed data from sat el lite im ages has made it eas ier to es tab lish a large and con sis tent da ta base for ground wa ter po ten tial zones (Saraf and Choudhury, 1998;Al-Adamat et al, 2003;Becker, 2006;Jha et al, 2007;Machiwal et al, 2011;Selvam et al, 2016). Remote sens ing not only pro vides a spec i fied and clear data of the spa tial dis tri bu tion of ob ser va tions, but also saves time and money (Ozesmi and Bauer, 2002;Blaschke, 2010;Souissi et al, 2018). In ad di tion, it is widely used to char ac ter ize the earth sur face (such as lin ea ments, land use, drain age pat terns, slope and geo mor phol ogy) as well as to ex am ine the ground wa ter poten tial zones (Dasho et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Sev eral stud ies cur rently ex ist for the in ves ti ga tion and map ping of ground wa ter po ten ti al ity in the arid re gion in Tu ni sia (Chenini and Ben Mammou, 2010;Msaddek et al, 2017;Mokadem et al, 2018;Souissi et al, 2018) and in the world (Gustafsson et al, 1993;Al-Adamat et al, 2003;Scanlon et al, 2006;Ghayoumian et al, 2007;Chowdhury et al, 2009;Mukherjee et al, 2012;Naghibi et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Groundwater potentiality assessment in an arid zone using a statistical approach and multi-criteria evaluation, southwestern Tunisia

Msaddek¹,

Souissi²,

Moumni³

et al. 2019

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Mapping groundwater recharge potential zones in arid region using GIS and Landsat approaches, southeast Tunisia

Cited by 80 publications

References 41 publications

Using Analytical Hierarchy Process and Multi-Influencing Factors to Map Groundwater Recharge Zones in a Semi-Arid Mediterranean Coastal Aquifer

Using Analytical Hierarchy Process and Multi-Influencing Factors to Map Groundwater Recharge Zones in a Semi-Arid Mediterranean Coastal Aquifer

Evaluation of Groundwater Potential by GIS-Based Multicriteria Decision Making as a Spatial Prediction Tool: Case Study in the Tigris River Batman-Hasankeyf Sub-Basin, Turkey

Groundwater potentiality assessment in an arid zone using a statistical approach and multi-criteria evaluation, southwestern Tunisia

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