2020
DOI: 10.1016/j.gsd.2020.100390
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Synthesizing existing frameworks to identify the potential for Managed Aquifer Recharge in a karstic and semi-arid region using GIS Multi Criteria Decision Analysis

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Cited by 17 publications
(8 citation statements)
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“…Some studies considered the usage and conservation of groundwater resources. For instance, areas suitable for Managed Aquifer Recharge (MAR) were identified near the South Africa/ Botswana border using SAW with nine criteria (land slope, land-use, soil, rainfall, proximity to water bodies, drainage density, depth to groundwater, lineament density, lithology), [155]. That study recognized that there were correlations between the criteria and took account of this in assigning weights.…”
Section: Focus On Water Supplymentioning
confidence: 99%
“…Some studies considered the usage and conservation of groundwater resources. For instance, areas suitable for Managed Aquifer Recharge (MAR) were identified near the South Africa/ Botswana border using SAW with nine criteria (land slope, land-use, soil, rainfall, proximity to water bodies, drainage density, depth to groundwater, lineament density, lithology), [155]. That study recognized that there were correlations between the criteria and took account of this in assigning weights.…”
Section: Focus On Water Supplymentioning
confidence: 99%
“…The combination of GIS techniques with MCDA methods allows an efficient spatial analysis of the involved criteria. GIS-MCDA for MAR suitability mapping as part of a decision-making process should pursue the scheme of: (1) problem definition, (2) screening of suitable areas, (3) suitability mapping including the classification of thematic layers or criteria, standardization, weighting of the criteria, and layers overlaying, and (4) sensitivity analysis (Rahman et al 2012;Valverde et al 2016;Sallwey et al 2018;Fathi et al 2020) (see Fig. 2.…”
Section: Managed Aquifer Recharge Suitability Mappingmentioning
confidence: 99%
“…This method includes the computation of the consistency ratio, an indicator for the pairwise judgment consistency, and thus a reference factor for determining the goodness of judgment (Chandio et al 2013;Sallwey et al Fig. 2.2 Flowchart of GIS-MCDA methodology for MAR suitability mapping (Fathi et al 2020) 2018). The decision rules manifest how weighted criteria are integrated to obtain the MAR suitability map (Malczewski 2000), and can be based on either threshold values (Boolean logic) or membership functions (fuzzy logic).…”
Section: )mentioning
confidence: 99%
“…Considering the availability of detailed geological knowledge at the local scale and many known cave entrances, the present study is expected to allow the construction of a model that spatially represents the underground karstification potential. Using GIS potentialities, a prototype of the endokarst potential map for the study area was produced with the primary objective of enhancing and better directing the speleological prospection that should precede environmental impact studies and the diversified tasks related to cave protection/conservation [39][40][41], scientific research/divulgation [42][43][44], territorial planning, and management in karst areas [45][46][47][48]. The focus of the present work is to contribute to a more efficient management of the karst territory under study.…”
Section: Introductionmentioning
confidence: 99%