Groundwater Recharge Zone Mapping Using GIS-Based Multi-criteria Analysis: A Case Study in Central Tunisia (Maknassy Basin)

Abstract

The groundwater recharge zone mapping often requires a large amount of spatial information and criteria. Geographic information systems are capable of managing large amount of spatially related information, providing the ability to integrate multiple layers of information for multi-criteria analysis. To show the capabilities of GIS techniques for mapping groundwater refill zone in arid area, a study was carried out in the Maknassy basin located in Central Tunisia. This evaluation incorporates historic rainfall data analysis, watershed drainage density, surficial geology and aquifer boundary conditions. The study basin is categorized according to the previous criteria. Multi-criteria analysis is performed to evaluate suitability to the groundwater recharge for each factor, according to its associated weight. The thematic layers were integrated with one another using the weighted aggregation method to derive the groundwater recharge map. The results demonstrated that the GIS methodology has good functionality for mapping groundwater recharge zone.

Coupling distributed stormwater collection and managed aquifer recharge: Field application and implications

“…Field analyses provide valuable ground-truth for models evaluating locations for future MAR projects (Saraf and Choudhury, 1998;Jha et al, 2007;Yeh et al, 2009;Chenini et al, 2010;Rahman et al, 2012Rahman et al, , 2013Russo et al, 2014) and elucidate important site conditions that may not be represented in regional studies. We analyze the dynamics of, and relations between, precipitation, runoff generation, infiltration, and sediment transport at this site and discuss broader water resource management implications.…”

Delineation of Suitable Zones for the Application of Managed Aquifer Recharge (MAR) in Coastal Aquifers Using Quantitative Parameters and the Analytical Hierarchy Process

“…Chenini et al [20] developed a multi-criteria method in a GIS environment for the selection of optimal sites for MAR application in Tunisia. Saud [21] was the first to introduce an index for site suitability in Saudi Arabia. Chowdhury et al [22] followed the established parameters to develop an index of site suitability for MAR using the Analytical Hierarchy Process (AHP).…”

Application of remote sensing, GIS and MCA techniques for delineating groundwater prospect zones in Kashipur block, Purulia district, West Bengal

“…In recent times, digital techniques come out as a rapid and cost-effective tool, and are being used to integrate different data to decipher groundwater potential zones. In recent times, many workers have used the approach of RS and GIS for delineation of groundwater potential zones and artificial recharge sites (Chatterjee and Bhattacharya 1995;Teeuw 1995;Krishnamurthy et al 1996;Saraf and Choudhary 1998;Shahid and Nath 1999;Goyal et al 1999;Murthy 2000;Obi et al 2000;Pratap et al 2000;Shahid et al 2000;Jaiswal et al 2003;Srinivasa and Jugran 2003;Kamal and Midorikawa 2004;Nag 2005;Sener et al 2005;Sreedevi et al 2005;Gustavsson et al 2006;Srivastava and Bhattacharya 2006;Singh et al 2007Jasrotia et al2007Kumar et al 2007;Chenini et al 2010;Machiwal et al 2011;Talabi and Tijani 2011;Kuria et al 2012;Gumma and Pavelic 2013;Nag and Ghosh 2013;Nag and Saha 2014;Olutoyin 2014;Nag and Ray 2015). Furthermore, GIS is also being used for multi-criteria analysis for groundwater resource evaluation (Saraf et al 2004;Rao and Jugran 2003).…”