Delineation of groundwater potential zones using geospatial techniques and analytical hierarchy process in Dumka district, Jharkhand, India

Murmu, Preetilata; Kumar, M.; Lal, Deepak; Sonker, Irjesh; Singh, Sudhir Kumar

doi:10.1016/j.gsd.2019.100239

Cited by 196 publications

(71 citation statements)

References 65 publications

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“…The principal Eigen vector was obtained by averaging across the rows to quantify relative weights of each parameter [57,59,66]. A consistency vector was obtained by multiplying two different matrix values from selected thematic layers (Equation (6)), namely, pair-wise comparison matrix value and normalized pair-wise matrix value [3,4,67].…”

Section: Estimating Relative Weightsmentioning

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: Estimating Relative Weightsmentioning

confidence: 99%

“…Excessive groundwater pumping is a global problem, which particularly affects arid/semi-arid regions where surface water is scarce [1][2][3][4]. Demand for fresh water resources is noticeably increasing as a result of growing agricultural water demand, population growth and rapid industrialization.…”

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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“…A significant factor controlling the recharge of groundwater is the land use pattern. (Ghosh et al, 2016;Murmu et al, 2019). The land use pattern is significantly affected by human activities.…”

Section: Land Usementioning

confidence: 99%

Mapping of Potential Groundwater Recharge Zones: A Case Study of Maputaland Coastal Plain, South Africa

Ponnusamy¹,

Rajmohan²,

Li³

et al. 2021

Preprint

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The potential groundwater zones of the Maputaland coastal plain of Kwazulu-Natal is identified by comparing the Analytic hierarchy process (AHP)-Multi criteria decision-making (MCDM)techniqueand Boolean logical approach. The map of groundwater potential zones was prepared by generation and integration of 8 thematic layers, i.e. geology, geomorphology, lineament density, soils, slope, rainfall and land use. Each thematic layer wereassigned with subjective relative weights under AHP-MCDM technique and Boolean logic and were overlaid in aGIS platform to identify the groundwater potential zones. The groundwater potential zones were delineated under two different GIS techniques to obtain confident results. Weights of thematic layers were allocated using AHP normalized eigen vector methodology and weighted linear combination method was employed to find the groundwater potential index.Whereas in a Boolean approach, AND operator was appliedin order to integrate thematic layers to delineate the groundwater potential zones. The delineated groundwater potential maps using AHP-MCDM technique indicates that 6.0% (310.5 km2) from total area falls under very good; 67% (3467 km2) good; 25% (1294 km2) poor and 2% (103.5 km2) under very poor, whereas in Boolean logic about 70 % of the area (i.e. 3623 km2) constitutes good and 30 % (1552 km2) of the areasconstitutes poor groundwater potential zone. Further, the obtained results indicate thatthe geology, geomorphology, landuse and slope playeda vital role in groundwater recharge. Thispioneer study in maputaland coastal plainexplores the baseline data of the potential groundwater zones. The resultsemanating from this study can be used in further understanding of the available groundwater resources and can be helpful in future to find the suitable groundwater exploration sites in the area.

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“…MCDA is applicable to a group decisionmaking environment when it is impractical to formulate criteria evaluation, i.e., it allows qualitative assessment, as well as quantitative evaluation. MCDA is considered a useful tool in resolving inconsistencies associated with the decisionmaking process (Javanbarg et al 2012;Chadetrik 2018;Murmu et al 2019). A SAHP is the most used MCDA tool, which uses hierarchical structures to demonstrate the issue and then improves priorities for the alternatives according to the user decision (Sahani 2020).…”

Section: Introductionmentioning

confidence: 99%

Classification of groundwater suitability for irrigation purposes using a comprehensive approach based on the AHP and GIS techniques in North Kurdufan Province, Sudan

2021

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Deterioration of groundwater quality due to drastic human interventions is rising at an alarming rate particularly in lower- and middle-income countries. Yet, limited research effort has been devoted to monitoring and ascertaining groundwater quality. The present study develops a comprehensive irrigation water quality index (IWQI) for rating water quality of shallow and deep aquifers in North Kurdufan province, Sudan. The new approach is developed to overcome the deficiencies of the existing irrigation indices and coming up with a unified decision for classifying water quality for irrigation purposes. Because of these indices like permeability index (PI), sodium absorption ratio (SAR), etc., depending on specific elements, entirely subjective, as well as the great variations in their results, particularly when classifying water quality. Thus, IWQI is created based on eight indices that are generally used to evaluate irrigation water quality, plus three physicochemical parameters have been proven an impact on water quality. The analytic hierarchy process (AHP) is applied to minimize the subjectivity at assign parameter weights under multiple criteria decision analysis tools (MCDA). The spatial distribution of IWQI agrees with the spatial distribution of the most parameters. The results of our approach reveal that the majority of samples are suitable for irrigation uses for both aquifers except few wells in the confined aquifer. Also, noted that there are very variations in the irrigation indices results for classifying water quality. The comparison result showed that the new index robust, fair calculations and has best classifying of water quality.

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Delineation of groundwater potential zones using geospatial techniques and analytical hierarchy process in Dumka district, Jharkhand, India

Cited by 196 publications

References 65 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

Mapping of Potential Groundwater Recharge Zones: A Case Study of Maputaland Coastal Plain, South Africa

Classification of groundwater suitability for irrigation purposes using a comprehensive approach based on the AHP and GIS techniques in North Kurdufan Province, Sudan

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