Groundwater potential zone identification at Plio-Pleistocene elevated tract, Bangladesh: AHP-GIS and remote sensing approach

Arefin, Riad

doi:10.1016/j.gsd.2020.100340

Cited by 53 publications

(19 citation statements)

References 13 publications

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“…MRSA was conducted to determine the most or the least influential thematic layer for groundwater recharge zones [30]. The sensitivity index, S, was computed using Equation 11:…”

Section: Map Removal Sensitivity Analysis (Mrsa)mentioning

confidence: 99%

“…A variety of methods have been implemented for groundwater recharge zone mapping worldwide [24][25][26][27] such as frequency ratio (FR), certainty factor (CF), weights-of-evidence (WOE), fuzzy logic index models, analytical hierarchy process (AHP) and multi-influencing factors (MIF). In particular, the AHP and MIF techniques have gained attention as useful approaches for groundwater prediction for rapid, precise and cost-effective assessment of groundwater recharge potential [28][29][30][31][32][33] by significantly reducing the mathematical complexity of decision-making based on systematic expert judgment. AHP is a GIS-based multi-criteria decision-making (MCDM) technique for pairwise comparison of spatial parameters by assigning weights based on expert opinion [34][35][36][37].…”

Section: Introductionmentioning

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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“…MRSA was conducted to determine the most or the least influential thematic layer for groundwater recharge zones [30]. The sensitivity index, S, was computed using Equation 11:…”

Section: Map Removal Sensitivity Analysis (Mrsa)mentioning

confidence: 99%

Section: Introductionmentioning

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 numerous methods for exploring groundwater resources, for example, drilling, geological, hydrogeological and geophysical methods [8], the most generally used techniques for investigating groundwater resources are drilled tests and stratigraphic investigation [6,9,30]. These methods require extensive time, money, resources, and expert participation [8,9,[30][31][32]. The usage of GIS and RS is, on the other hand, less expensive, more responsive, and more convenient [8,9,33,34].…”

Section: Introductionmentioning

confidence: 99%

“…The ability of RS and GIS to gather, manipulate, and cover vast amounts of data in a short amount of time makes it a more effective tool for identifying, analyzing, and preserving groundwater resources. As a result, multiple data sources can be incorporated into a GIS platform to build conceptual models for identifying potential groundwater zones in a given area [31,32,37,44,45].…”

Section: Introductionmentioning

confidence: 99%

An Approach to Delineate Potential Groundwater Zones in Kilinochchi District, Sri Lanka, Using GIS Techniques

Pathmanandakumar

Thasarathan

Ranagalage

2021

IJGI

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The scarcity of surface water resources in the dry season in the Kilinochchi district increases the demand for freshwater. Therefore, the main objective of this study is to delineate potential groundwater zones in Kilinochchi, Sri Lanka, using integrated remote sensing (RS), geographic information systems (GIS) and the analytical hierarchy process (AHP). Groundwater potential zones are demarcated for the Kilinochchi district by overlaying thematic layers: geology, geomorphology, land use/land cover, soil types, drainage density, slope, lineament, and rainfall. The thematic layers were integrated into a geographic information system, and a weighted overlay analysis was carried out to delineate groundwater zones. Thus the resultant map is categorized into five different potential zones: very low (59.12 km2), low (207.78 km2), moderate (309.89 km2), high (507.74 km2), and very high (111.26 km2). The groundwater potential map was validated with the existing seventy-nine wells, which indicated a good prediction accuracy of 81.8%. This suggests that the results obtained by integrating RS-GIS and AHP are well-matched with the existing well water depth. The AHP approach based on RS-GIS was a handy and efficient technique for assessing potential groundwater zones. This research will help policymakers better manage the Kilinochchi district’s groundwater resources and give scope for further research into groundwater exploration in the area.

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“…The integrated utilization of remote sensing and geographic information system (GIS) are being widely used for groundwater prospecting, as remote sensing offers good functionality for mapping the groundwater recharge area, and can differentiate and identify various structures including rocks, vegetation, and water [29]. Moreover, integration of different techniques can solve problems associated with the hidden subsurface heterogeneity and identify different structures like rocks, water, and vegetation [16,[30][31][32]. Potential groundwater zone boundaries include routes and fault zones [33][34][35], rainfall, soil, lithology, and texture.…”

Section: Introductionmentioning

confidence: 99%

Mapping Groundwater Potential for Irrigation, by Geographical Information System and Remote Sensing Techniques: A Case Study of District Lower Dir, Pakistan

et al. 2021

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The changing climate and global warming have rendered existing surface water insufficient, which is projected to adversely influence the irrigated farming systems globally. Consequently, groundwater demand has increased significantly owing to increasing population and demand for plant-based foods especially in South Asia and Pakistan. This study aimed to determine the potential areas for groundwater use for agriculture sector development in the study area Lower Dir District. ArcGIS 10.4 was utilized for geospatial analysis, which is referred to as Multi Influencing Factor (MIF) methodology. Seven parameters including land cover, geology, soil, rainfall, underground faults (liniment) density, drainage density, and slope, were utilized for delineation purpose. Considering relative significance and influence of each parameter in the groundwater recharge rating and weightage was given and potential groundwater areas were classified into very high, high, good, and poor. The result of classification disclosed that the areas of 113.10, 659.38, 674.68, and 124.17 km2 had very high, high, good, and poor potential for groundwater agricultural uses, respectively. Field surveys for water table indicated groundwater potentiality, which was high for Kotkay and Lalqila union councils having shallow water table. However, groundwater potentiality was poor in Zimdara, Khal, and Talash, characterized with a very deep water table. Moreover, the study effectively revealed that remote sensing and GIS could be developed as potent tools for mapping potential sites for groundwater utilization. Furthermore, MIF technique could be a suitable approach for delineation of groundwater potential zone, which can be applied for further research in different areas.

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Groundwater potential zone identification at Plio-Pleistocene elevated tract, Bangladesh: AHP-GIS and remote sensing approach

Cited by 53 publications

References 13 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

An Approach to Delineate Potential Groundwater Zones in Kilinochchi District, Sri Lanka, Using GIS Techniques

Mapping Groundwater Potential for Irrigation, by Geographical Information System and Remote Sensing Techniques: A Case Study of District Lower Dir, Pakistan

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