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Indian Journal of Ecology
Year : 2024, Volume : 51, Issue : 1
First page : ( 118) Last page : ( 125)
Print ISSN : 0304-5250.
Article DOI : 10.55362/IJE/2024/4204

Validation of Derived Groundwater Potential Zones Using Well Yield Data through Agreement Scheme Approach with Geoinformatics in Ken River Basin

Patle Deepak*, Awasthi Manoj Kumar, Nema Sourabh1

Department of Soil and Water Engineering, College of Agricultural Engineering, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur-482 004, India

1National Institute of Hydrology, North West Regional Centre, Jodhpur-342 003, India

*E-mail: deepak.patle12@gmail.com

Online Published on 20 February, 2024.

Abstract

This study focused on validation of derived groundwater potential zones (GPZ) map from well yield data using the Agreement Scheme approach in Ken River Basin with the help of geoinformatics. Total 100 random points were generated over the classified GPZ map of the study area. Information regarding different groundwater potential zones were extracted for each random point. Then, theses points were imported in to Bhujal-Bhuvan Portal of ISRO. In this portal, the “Ground Water Prospects” map represents different well depth and well yield ranges, which is developed by Rajiv Gandhi National Drinking Water Mission Project with collaboration of CGWB and NRSC, Hyderabad. In order to validate the groundwater potential zones map, the well yield data was classified into five classes namely, Very Poor (< 50 LPM), Poor (50-100 LPM), Moderate (100-200 LPM), Good (200-400 LPM), and Very Good (> 400 LPM). After that, 100 random points were superimposed over the Ground Water Prospects map and extracted well yield data. The accuracy of the GPZ was cross-validated with the well yield data using agreement scheme. The overall validation accuracy was about 84%, which shows a very good correlation between groundwater potential zones and the well yield. It proves that the applied approach provided significant reliable outcomes for the present study, allowing decision makers to create an effective plan.

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Keywords

Groundwater, Well yield, Validation, Ken River Basin, Geoinformatics.

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