Application of Remote Sensing and GIS for Groundwater Recharge Potential Zone Mapping in Upper Betwa Watershed

Authors

  • CSIR-Advanced Materials and Processes Research Institute, Bhopal – 462 026
  • CSIR-Advanced Materials and Processes Research Institute, Bhopal – 462 026
  • CSIR-Advanced Materials and Processes Research Institute, Bhopal – 462 026
  • CSIR-Advanced Materials and Processes Research Institute, Bhopal – 462 026

DOI:

https://doi.org/10.1007/s12594-020-1430-3

Keywords:

No Keywords.

Abstract

Groundwater is unevenly distributed and limited in hard rock terrains. The study has been carried out using remote sensing and GIS to delineate the potential recharge zones of groundwater in upper Betwa watershed, Raisen district, Madhya Pradesh, India. The different thematic layers viz; geology, lineament density, soil, slope, land use/land cover (LU/LC) and drainage density were prepared for assessment of groundwater recharge potential in the area. District Resource Map (DRM) of Geological Survey of India (GSI) 2002 has been used for geological study. SRTM Digital Elevation Model (DEM) was used to obtain the slope. LANDSAT- 8 OLI data has been processed for lineament density and LU/LC analysis. Survey of India toposheets were used for drainage density analyses and National Bureau of Soil Survey & Land Use Planning Nagpur (NBSS&LUP) map used for soil study. Weightage has been given to parameters in thematic maps as per the relative influence of each parameter in the groundwater recharge. Rating to each class of parameters was given as per there relative significance in groundwater recharge. Finally, groundwater recharge potential map has been prepared by overlaying all thematic maps in terms of the weighted index overlay (WIO) method. The output map has been further classified into three zones (i) low ground-water potential zone (121.80 km2) (ii) moderate groundwater potential zone (387.78 km2) and (iii) high groundwater potential zone (173.35 km2). The output results were validated by plotting the specific yield data and groundwater level of selected wells in delineated groundwater recharge potential zones using GPS locations. It has been seen that most of the groundwater productive wells functioning in the area is falling in high and moderate groundwater recharge potential zone.

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Section

Research Articles

Published

2020-03-31

How to Cite

Ahirwar, S., Subzar Malik, M., Ahirwar, R., & Shukla, J. P. (2020). Application of Remote Sensing and GIS for Groundwater Recharge Potential Zone Mapping in Upper Betwa Watershed. Journal of Geological Society of India, 95(3), 308–314. https://doi.org/10.1007/s12594-020-1430-3

References

Ahmed, S.A. (2016) Geospatial technology for delineating groundwater potential zones in Doddahalla watershed of Chitradurga district, India. The Egyptian Journal of Remote Sensing and Space Sciences, v.19(2), pp. 223–234.

Ali, H. Y., Priju, C. P., and Prasad, N. N. (2015) Delineation of groundwater potential zones in deep midland aquifers along Bharathapuzha river basin, Kerala using geophysical methods. Aquatic Procedia, v.4, pp.1039-1046.

Balachandar, D., Alaguraja, P., Sundaraj P., Rutharvelmurthy, K. and Kumaraswamy, K. (2010) Application of Remote Sensing and GIS for Artificial Recharge Zone in Sivaganga District, Tamilnadu, India. Internat. Jour. Geomatics and Geosci., v.1(1), pp. 84-97.

Balamurugan, G., Seshan, K. and Bera, S. (2017) Frequency ratio model for groundwater potential mapping and its sustainable management in cold desert, India. Jour. King Saud University - Science, v.29(3), pp.333–347.

Binay Kumar and Uday Kumar (2011) Groundwater recharge zonation mapping and modelling using Geomatics techniques. Internat. Jour. Environ. Sci., v.1(7), pp. 1670-1681.

Brema, J., and Prince Arulraj, G. (2012) Identification of sites suitable for artificial recharging and groundwater flow modeling in Noyyal river basin, Tamilnadu, India. Internat. Jour. Sustainable Development, v.3(8), pp. 45-58.

Chaudhary, B.S., Kumar, M., Roy, A.K., and Ruhal, D.S. (1996) Applications of remote sensing and geographic information systems in groundwater investigations in Soha block, Gurgaon district, Haryana (India). International Archives of Photogrammetry and Remote Sensing, v.31 (B6), pp. 18-23.

Chenini, I., Mammou, A. B., and El May, M. (2010) Groundwater recharge zone mapping using GIS-based multi-criteria analysis: A case study in Central Tunisia (Maknassy Basin). Water Resources Management, v. 24(5), pp. 921-939.

Elbeih, S F. (2015) An overview of integrated remote sensing and GIS for groundwater mapping in Egypt. Ain Shams Engg. Jour., v.6(1), pp.1–15.

Golla, V., Etikala, B., Veeranjaneyulu, A., Subbarao, M., Surekha, A. and Narasimhlu, K. (2018) Data sets on delineation of groundwater potential zones identified by geospatial tool in Gudur area, Nellore district, Andhra Pradesh, India. Data in brief, v.20, pp.1984-1991.

Hammouri, N., El-Naqa, A. and Barakat, M. (2012) An integrated approach to ground-water exploration using remote sensing and geographic information system. Jour. Water Resour. Protect., v.4, pp.717-724.

Jaiswal, R. K., Mukherjee, S., Krishnamurthy, J. and Saxena, R. (2003) Role of remote sensing and GIS techniques for generation of groundwater prospect zones towards rural development: an approach. Internat. Jour. Remote Sensing, v.24(5), pp. 993–1008.

Javed, A., and Wani, M.H. (2009) Delineation of groundwater potential zones in Kakund watershed, Eastern Rajasthan, using remote sensing and GIS techniques. Jour. Geol. Soc. India, v.73(2), pp.229-236.

Jothiprakash, V., Marimuthu G., Muralidharan, R. and Senthilkumar, N. (2003) Delineation of potential zones for artificial recharge using GIS. Jour. Indian Soc. Remote Sensing, v.31(1), pp.37-47.

Jyoti, S., Tiwari, M.K. and Khatediya, V. (2011) Delineation of groundwater prospect zones and identification of artificial recharge sites using g eospatial technique. Internat. Jour. Adv. Tech. Engg. Res., v.1(1), pp. 6-20.

Kaliraj, S., Chandrasekar, N. and Magesh, N.S. (2014) Identification of potential groundwater recharge zones in Vaigai upper basin, Tamil Nadu, using GIS-based analytical hierarchical process (AHP) technique. Arabian Jour. Geosci., v.7(4), pp.1385-1401.

Krishnamurthy, J., Kumar, N. V., Jayaraman, V. and Manivel, M. (1996) An approach to demarcate groundwater potential zones through remote sensing and a geographic information system. Internat. Jour. Remote Sensing, v.17(10), pp.1867–1884.

Magesh, N.S., Chandrasekar, N. and Soundranayagam, J. P. (2012) Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geoscience Frontiers, v.3(2), pp.189-196.

Mishra, R.C., Chandrasekhar, B., and Naik, R.D. (2010) Remote Sensing and GIS for Groundwater Mapping and Identification of Artificial Recharge Sites. In Geoenvironmental Engineering and Geotechnics: Progress in Modeling and Applications, pp. 216-223.

Mondal, N.C., Singh, V.P. and Sankaran, S. (2011) Demarcation of prospective groundwater recharge zones in hard rock area from Southern India. Science Research Essays, v.6(16), pp.3539-3552.

Narendra, K., Rao, N.K. and Latha, S.P. (2013) Integrating remote sensing and GIS for identification of groundwater prospective zones in the Narava basin, Visakhapatnam region, Andhra Pradesh. Jour. Geol. Soc. India, v.81(2), pp. 248-260.

National Bureau of Soil Survey and Land Use Planning, (NBSS & LUP), ICAR, Nagpur (1996). Soils of Madhya Pradesh. NBSS Publ.59.

Prabhu, M.V. and Venkateswaran, S. (2015) Delineation of Artificial Recharge zones using Geospatial Techniques in Sarabanga sub-Basin Cauvery River, Tamil Nadu. Aquatic Procedia, v.4(Icwrcoe), pp.1265–1274.

Saraf, A.K. and Choudhary, P.R. (1998) Integrated remote sensing and GIS for groundwater exploration and identification of recharge sites. Internat. Jour. Remote Sensing, v.19 (10), pp.1825–1841.

Saraf, A.K., Choudhury, P.R., Roy, B., Sarma, B., Vijay, S. and Choudhury, S. (2004) GIS-based surface hydrological modelling in identification of groundwater recharge zones. Internat. Jour. Remote Sensing, v.25(24), pp.5759-5770.

Senanayake, I.P., Dissanayake, D.M.D.O.K., Mayadunna, B.B., and Weerasekera, W.L. (2016) An approach to delineate groundwater recharge potential sites in Ambalantota, Sri Lanka using GIS techniques. Geoscience Frontiers, v.7(1), pp.115-124.

Sharma, A. K., and Shukla, J. P. (2014), Ground Water Prospects Mapping in & around Ambikapur Town, Chhattisgarh, India Using Index Overlay Model”, Internat. Jour. Earth Sci. Engg., v.7(3), pp.938-947.

Sharma, A.K. and Shukla, J.P. (2015) A Remote Sensing and GIS-Based Approach to Evaluate the Ground Water Prospects of Baghain Watershed, Panna and Satna Districts of íŒ.í., India: a Case Study. Jour. Geol. Soc. India, v.86(6), pp. 733-741.

Solomon, S., and Quiel, F. (2006) Groundwater study using remote sensing and geographic information systems (GIS) in the central highlands of Eritrea. Hydrogeol. Jour., v.14(6), pp.1029-1041.

Srinivasa Rao, Y., and Jugran, D. K. (2003) Delineation of groundwater potential zones and zones of groundwater quality suitable for domestic purposes using remote sensing and GIS. Hydrolog. Sci. Jour., v.48(5), pp.821-833.

Subagunasekar, M. and Sashikkumar, M.C. (2012) GIS for the assessment of the groundwater recharge potential zone in Karunakulam block, Thoothukudi district, Tamilnadu, India, Internat. Jour. Curr. Sci., v.1, pp.159-162.

Suryabhagavan, K.V. (2017) Application of remote sensing and GIS for groundwater potential zones identification in Bata river basin, Himachal Pradesh, India. Jour. Geomatics, v.11(1), pp.66-76.

Thapa, R., Gupta, S., Guin, S., and Kaur, H. (2017) Assessment of groundwater potential zones using Multi-Influencing Factor (MIF) and GIS: A case study from Birbhum district, West Bengal. Appld. Water Sci., v.7(7), pp.4117-4131.

Yeh, H. F., Cheng, Y. S., Lin, H. I., and Lee, C. H. (2016) Mapping groundwater recharge potential zone using a GIS approach in Hualian River, Taiwan. Sustainable Environ. Res., v. 26(1), pp.33-43.

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