Delineation of groundwater potential zone in hard rock terrain of India using remote sensing, geographical information system (GIS) and analytic hierarchy process (AHP) techniques

Shekhar, Shashank; Pandey, Arvind Chandra

doi:10.1080/10106049.2014.894584

Cited by 236 publications

(67 citation statements)

References 24 publications

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“…Table 3 provides a comparison of the potential groundwater zone of the West Bokaro coalfield with other studies done by a number of researchers in Jharkhand state, India. Previous studies of Jharkhand (Kumar and Krishna 2016;Shekhar and Pandey 2015;Srivastava et al 2012) have also reported that the hydrogeological factors in a GIS environment play an …”

Section: Resultsmentioning

confidence: 99%

Identification of artificial groundwater recharging zone using a GIS-based fuzzy logic approach: a case study in a coal mine area of the Damodar Valley, India

et al. 2017

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The West Bokaro coalfield is a richest coalmining belt in the Damodar Valley, India. The extensive mining of the area has resulted in disruption of the groundwater availability in terms of both quantity and quality. This has led to a drinking water crisis, especially during the pre-monsoon period in the West Bokaro coalfield area. The characterization of the hydrogeological system and the artificial recharging of the aquifers might help to better manage the problem of the groundwater-level depletion. For this purpose, seven important hydrogeological factors (water depth, slope, drainage, soil, infiltration, lithology, and landuse) have been considered to define the most suitable locations for artificial groundwater recharging in the mining area. Different thematic maps were prepared from existing maps and data sets, remote-sensing images, and field investigations for identification of the most suitable locations for artificial recharge. Thematic layers for these parameters were prepared, classified, weighted, and integrated into a geographic information system (GIS) environment by means of fuzzy logic. The results of the study indicate that about 29 and 31% of the area are very suitable and suitable for recharging purposes in the West Bokaro coalfield. However, the rest of the area is moderate to unsuitable for recharging due to the ongoing mining and related activities in the study area. The groundwater recharging map of the study area was validated with measured electrical conductivity (EC) values in the groundwater, and it indicated that validation can be accepted for the identification of groundwater recharging sites. These findings are providing useful information for the proper planning and sustainable management of the groundwater resources in the study area.

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Section: Resultsmentioning

confidence: 99%

Identification of artificial groundwater recharging zone using a GIS-based fuzzy logic approach: a case study in a coal mine area of the Damodar Valley, India

et al. 2017

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“…The main climatic factor of rainfall (Rf) is one of the most important hydrologic parameters and it was considered as a major source of recharge (Musa et al 2000; Magesh et al 2012; Shekhar and Pandey 2014). It is an important element to assess the water input to the basin and to understand the flourish or deficit condition of water resource Anbazhagan and Jothibasu 2016a, b).…”

Section: Climatic Factorsmentioning

confidence: 97%

“…Several studies have been applied using index based models for producing the GPM (Solomon and Quiel 2006;Prasad et al 2008;Elewa and Qaddah 2011;Manap et al 2014). In some studies, analytical hierarchy process (AHP) (Jha et al 2010;Machiwal et al 2011;Adiat et al 2012;Kaliraj et al 2014;Rahmati et al 2014a;Shekhar and Pandey 2014;Naghibi et al 2014;Nazari et al 2012;Neshat et al 2013;Nosrati and Eeckhaut 2012;Ozdemir 2011a, b;Pourghasemi and Beheshtirad 2014;Pourghasemi et al 2013a, b;Pradhan and Lee 2010;Shahid et al 2002;Singh and Prakash 2003), have been used for groundwater potential mapping. Adiat et al (2012) used the analytic hierarchy process (AHP) for groundwater potentiality mapping in Kedah, Peninsula Malaysia.…”

Section: Introductionmentioning

confidence: 98%

Modeling groundwater probability index in Ponnaiyar River basin of South India using analytic hierarchy process

Jothibasu

Anbazhagan

2016

Model. Earth Syst. Environ.

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In the present study, an effort has been made to investigate the analytical hierarchy process has been applied to delineate groundwater potential based on integrated geographic information system (GIS) and remote sensing (RS) techniques in Ponnaiyar River basin, Tamil Nadu, India. At first, the climatic factor, topographic factors, water related factors, geological factors, hydrogeological factors and other ecological factors such as land use/land cover and soil depth were derived from the spatial geo-database. Secondly, the 74 groundwater data with high potential yield values of C40 m 3 /h were collected and mapped in GIS. Out these, 44 (60 %) cases were randomly selected for models training, and the remaining 31 (40 %) cases were used for the validation purposes. Then, the assigned weights of thematic layers based on expert knowledge were normalized by eigenvector technique of AHP. To prepare the groundwater potential index, the weighted linear combination (WLC) method was applied in GIS. Finally, the receiver operating characteristic (ROC) curve was drawn for groundwater potential map, and the area under curve (AUC) was computed. Results indicated that the rainfall and slope percent factors have taken the highest and lowest weights, respectively. Validation of results showed that the AHP method (AUC = 76.90 %) performed fairly good predication accuracy. Results of this study could be helpful for better management of groundwater resources in the study area and give planners and decision makers an opportunity to prepare appropriate groundwater investment plans for sustainable environment.

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“…This coefficient was obtained by calculating the weights of the criteria that made up the groundwater potential by the AHP and GIS-based MCDM method as shown in Equation (3) [52]. This indicator gives information about groundwater potential in different regions [53].…”

Section: Dd = L/a (1)mentioning

confidence: 99%

Evaluation of Groundwater Potential by GIS-Based Multicriteria Decision Making as a Spatial Prediction Tool: Case Study in the Tigris River Batman-Hasankeyf Sub-Basin, Turkey

Çelik

2019

Water

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The Tigris River Batman-Hasankeyf region sub-basin drainage area is in the Upper Tigris basin and lies between the area where the Batman stream joins the river and the Yanarsu stream flows into the river. Intensive agricultural activities are carried out in this region, and irrigation is generally obtained from groundwater just as it moves away from the riverfront. The study area is a valuable basin for both Turkey and the Middle East. In this study, the effectiveness of the Geographic Information System (GIS)-based multicriteria decision-making (MCDM) analytic hierarchy process (AHP) as a spatial prediction tool was utilized in exploring the groundwater potential of the drainage area. In the analysis, eight hydrological and hydrogeological criteria were considered as influencing factors, namely, geomorphology, geology, rainfall, drainage density, slope, lineament density, land use, and soil properties. The weights of these criteria were determined through the AHP method; the Arc GIS 10.2.2 program and its submodules were used. The major findings of the study were that groundwater-potential index values of the basin were derived. Groundwater-potential-zone evaluation of the basin was obtained as follows: very poor (19%), poor (17%), moderate (34%), good (17%), very good (13%); and groundwater potential zone (GWPZ) maps of the sub-basin were created. 2 of 16 model [8]. Most of these methods are based on multivariate statistical techniques [9]. In contrast, the analytical hierarchy process (AHP) is considered to be a simple, effective, transparent, and reliable technique [10]. The AHP method is easy to identify in a useful way by integrating geographic information system (GIS) and remote sensing (RS) data. Groundwater parameters such as precipitation, aquifers, land use, and soil type can easily be defined as spatial data in a GIS environment. Thus, the method is very useful for identifying potential groundwater areas and is well-suited for the useful identification of groundwater-potential regions [11][12][13]. AHP is an approach that was developed by Thomas L. Saaty in the early 1980s [14]. It was developed with planned criteria according to a certain stage, evaluating the weights of these criteria, and comparing the criteria with other similar studies [15,16]. It is possible and preferable to determine hydrological and hydrogeological parameters that influence groundwater formation and their effects on groundwater formation and generate potential groundwater maps with GIS-based Multicriteria Decision-Making (MCDM) techniques. GIS-based multicriteria decision analysis (MCDA) has been extensively used in the field of hydrological and water resources [16,17]. It has gained popularity in the last decade as it provides GIS-based mapping [18].Most current studies [19][20][21][22] widely applied RS-and GIS-based AHP-MCDM techniques for the assessment of Groundwater Potential Zones (GWPZs) with effective results. When these studies were examined, it was found that land use (LU), geomorphology (GM), geology (G), recharge...

show abstract

Delineation of groundwater potential zone in hard rock terrain of India using remote sensing, geographical information system (GIS) and analytic hierarchy process (AHP) techniques

Cited by 236 publications

References 24 publications

Identification of artificial groundwater recharging zone using a GIS-based fuzzy logic approach: a case study in a coal mine area of the Damodar Valley, India

Identification of artificial groundwater recharging zone using a GIS-based fuzzy logic approach: a case study in a coal mine area of the Damodar Valley, India

Modeling groundwater probability index in Ponnaiyar River basin of South India using analytic hierarchy process

Evaluation of Groundwater Potential by GIS-Based Multicriteria Decision Making as a Spatial Prediction Tool: Case Study in the Tigris River Batman-Hasankeyf Sub-Basin, Turkey

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