Delineation of Groundwater Prospect Zones in Arang Block, Raipur District, Chhattisgarh, Central India, Using Analytical Network Process


The increasing trend of population growth, freshwater demand and unscientific land use planning lead to the shortage of precious groundwater resources. Present research aims to delineate the groundwater prospect zones with the help of analytic network process (ANP) based multi-criteria decision analysis (MCDA) coupled with geographical information system (GIS) and remote sensing (RS) in Arang block of Raipur district, India. Various hydrogeological and earth surface features including aquifer, soil texture, geomorphology, slope, drainage density, land use land cover (LULC), normalized difference vegetation index (NDVI) and rainfall distribution are selected and assigned with the ANP-based weights and integrated into GIS platform by layer overlaying operation to develop the groundwater prospect zone index (GPZI) map. A total of five sub-categories of GPZI, namely excellent, good, moderate, poor and very poor are considered to understand the existing scenario of groundwater potentiality of the study area. Results indicate that about 64% of the total area having groundwater potentiality within moderate to excellent GPZI category, whereas; 36% area falls within poor to very poor GPZI category. Model accuracy measurement is verified by groundwater level data of 21 locations and the accuracy value with r=0.73 is achieved using a linear regression plot, which justifies the precision of the ANP-based model.

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Authors acknowledge the support received from faculty members and authorities of ISM, Dhanbad during the research work. Authors sincerely thank organizations such as Central Ground Water Board (CGWB), Raipur, State Data Center, Raipur and Chhattisgarh Infotech Promotion Society (CHIPS), Raipur, for providing the necessary data and information utilized in the present work.

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Correspondence to Srinivas Pasupuleti.

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Singha, S., Pasupuleti, S. Delineation of Groundwater Prospect Zones in Arang Block, Raipur District, Chhattisgarh, Central India, Using Analytical Network Process. J Geol Soc India 95, 609–615 (2020).

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