Appraising the accuracy of GIS-based Multi-criteria decision making technique for delineation of Groundwater potential zones

Kumar, Tarun; Gautam, Amar Kant; Kumar, T M Mohan

doi:10.1007/s11269-014-0663-6

Cited by 157 publications

(61 citation statements)

References 16 publications

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“…Several statistical methods can also be adopted for groundwater mapping where adequate information on different influencing parameters to groundwater accumulation and movement are available. These include frequency ratio (Davoodi et al 2013), multi-criteria decision evaluation (Murthy and Mamo 2009;Kumar et al 2014), logistic regression model (Ozdemir 2011), weights-of-evidence model (Ozdemir 2011;Pourtaghi and Pourghasemi 2014), random forest model (Rahmati et al 2016Naghibi et al 2016, maximum entropy model (Rahmati et al 2016), boosted regression tree (Naghibi et al 2016;Naghibi and Pourghasemi 2015), classification and regression tree (Naghibi et al 2016), multivariate adaptive regression spline model (Zabihi et al 2016), certainty factor model (Zabihi et al 2016), evidential belief function (Pourghasemi and Beheshtirad 2015;Naghibi and Pourghasemi 2015), and generalized linear model (Naghibi and Pourghasemi 2015). These information are lacking in many third world country hence proper understanding of hydrogeological characteristics for successful exploitation of groundwater in basement areas depend largely on geophysical methods.…”

Section: Introductionmentioning

confidence: 99%

Geophysical evaluation of groundwater potential in part of southwestern Basement Complex terrain of Nigeria

et al. 2017

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The geophysical assessment of groundwater in Awa-Ilaporu, near Ago Iwoye southwestern Nigeria was carried out with the aim of delineating probable areas of high groundwater potential. The area falls within the Crystalline Basement Complex of southwestern Nigeria which is predominantly underlain by banded gneiss, granite gneiss and pegmatite. The geophysical investigation involves the very low frequency electromagnetic (VLF-EM) and Vertical Electrical Sounding (VES) methods. The VLF-EM survey was at 10 m interval along eight traverses ranging between 290 and 700 m in length using ABEM WADI VLF-EM unit. The VLF-EM survey was used to delineate areas with conductive/fractured zones. Twenty-three VES surveys were carried out with the use of Campus Ohmega resistivity meter at different location and at locations areas delineated as high conductive areas by VLF-EM survey. The result of VLF-EM survey along its traverse was used in delineating high conductive/fractured zones, it is, however, in agreement with the delineation of the VES survey. The VES results showed 3-4 geoelectric layers inferred as sandy topsoil, sandy clay, clayey and fractured/fresh basement. The combination of these two methods, therefore, helped in resolving the prospecting location for the groundwater yield in the study area.

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Section: Introductionmentioning

confidence: 99%

Geophysical evaluation of groundwater potential in part of southwestern Basement Complex terrain of Nigeria

et al. 2017

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“…In the cur rent study, the soil has a mi nor ef fect on ground wa ter po ten tial. Kumar et al (2014) found a dif fer ent weighted rat ing for the influ enc ing fac tors in the Durg dis trict, In dia. The same con clusion was re ported by Machiwal et al (2011) in a semi-arid region in In dia.…”

Section: Map Of Groundwater Potential Zonesmentioning

confidence: 94%

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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“…The relationship between the different thematic layers has been derived using AHP and relationship between their various classes. The methodology for deriving the weights to the thematic layers and their corresponding classes using AHP involves the following steps (Saaty 1999(Saaty , 2004Agarwal et al 2013;Kumar et al 2014). …”

Section: Deriving the Weights Using Ahpmentioning

confidence: 99%

Land quality index assessment for agricultural purpose using multi-criteria decision analysis (MCDA)

Kumar

Jhariya

2015

Geocarto International

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In this study, an attempt has been made to apply Remote Sensing (RS) and geographic information system (GIS) to determine land quality for agriculture purpose using analytic hierarchy process technique. In this study, various thematic layers were used like organic matter content, soil texture, soil depth, soil pH, soil P, soil K, geomorphology, run-off potential, slope and land use/land cover to assess the land quality index of the study area for the agriculture purpose which were generated in the RS and GIS environment. The study area can be divided into four zones, viz. high quality, moderately quality, marginally quality and low quality according to their suitability of land quality for agriculture purpose. It was found that about 39.09, 31.24, 20.41 and 9.26% of the study area falls under high quality zone, moderately quality, marginally quality and low quality zone, respectively, for agricultural purpose.

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Appraising the accuracy of GIS-based Multi-criteria decision making technique for delineation of Groundwater potential zones

Cited by 157 publications

References 16 publications

Geophysical evaluation of groundwater potential in part of southwestern Basement Complex terrain of Nigeria

Geophysical evaluation of groundwater potential in part of southwestern Basement Complex terrain of Nigeria

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

Land quality index assessment for agricultural purpose using multi-criteria decision analysis (MCDA)

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