Delineation of Ground Water Prospect Zone in hard rock terrine part of Purulia District of West Bengal-India using Remote Sensing & GIS Approach

Authors

  • Surajit Bera  Department of NREM, CSIR-Central Institute of Mining & Fuel Research, Barwa Road, Dhanbad, Jharkhand, India

Keywords:

Remote Sensing & GIS, SOI, GSI, NBSS, LISS-III, DEM, MIF, Hydro-Geomorphology, Drainage Density, Lineament Density, Weighted Overlay, Ground Water Prospects.

Abstract

In the field of ground water resource uses of Remote Sensing and Geographic Information System (GIS) assume a crucial part in ground water investigation. Using Remote Sensing data (satellite image) and the Geographic Information System we can undoubtedly get to, observing, preserving and economically dealing with the ground water resource. In this work utilizing Remote Sensing and GIS system, different ground water prospect zones depicted of ground water accessibility in Purulia district. Different thematic layers viz. Topography, soil, hydro geomorphology, land use, slope, drainage density, lineament density and water level depth were prepared utilizing Survey of India (SOI) Toposheets, satellite image (IRS-1C, LISS-III and Cartosat-1, DEM), National Bureau of Soil Survey (NBSS), and Geological Survey of India (GSI) maps in GIS environment. The multi influence factor (MIF) technique used to process a weighted score of each raster class. Additionally, each weighted thematic layer statistically compute to get the ground water prospect zones utilizing the weighted overlay analysis tool in Arc GIS software. Five classes (Restricted, Not Suitable, Suitable, Moderate and Highly Suitable) of ground water prospect zones found in the study area, the restricted zone covers 1412.35 sq km around 22.57 %, not suitable zone covers 151.75 sq km around 2.42 %, suitable zone covers 1333.97 sq km around 21.31 %, moderate zone covers 2912.47 sq km around 46.53 and high suitable zone covers 448.47 sq km around 7.17 % of the total study area. The result delineate the ground water prospect zones in the study area and observed to be useful in better planning, management and sustainable development of ground water resource in future.

References

  1. Bhunia, G, S., Samanta, S., Pal, B. (2012). Deciphering prospective ground water zones of Morobe province, Papua New Guinea. International Journal of Engineering Research and Applications, 2 (3), 752-766.
  2. Bonham-Carter, G. F. (1994). Geographic Information Systems for Geoscientists: Modeling with GIS. Elsevier Science Ltd., 398. 
  3. Burrough, P.A. (1986). Principles of Geographical Information Systems for Land Resources Assessment. Oxford University Press, New York, 50.
  4. Chowdhury, A., Jha, M.K., Chowdhury, V.M. (2010). Delineation of groundwater recharge zones and identification of artificial recharge sites in West Medinipur district, West Bengal, using RS, GIS and MCDM techniques. Environmental Earth Science, 59, 1209-1222.
  5. Dar, I.A., Sankar, K., Dar, M.A. (2010). Deciphering groundwater potential zones in hard rock terrain using geospatial technology. Environmental Monitoring and Assessment, 173, 597-610.
  6. Das, S., Behera, S.C., Kar, A., Narendra, P., Guha, S. (1997). Hydro-geomorphological mapping in groundwater exploration using remotely sensed data - A case study in Keonjhar District, Orissa. Journal of Indian Society of Remote Sensing, 25, 247-259.
  7. Haridas, V.R., Aravindan, S., Girish, G. (1998). Remote sensing and its applications for groundwater favorable area identification. Quarterly Journal of GARC, 6, 18-22.
  8. Harinarayana, P., Gopalakrishna, G.S., Balasubramanian, A. (2000). Remote sensing data for groundwater development and management in Keralapura watersheds of Cauvery basin, Karnataka, India. Indian Mineralogists, 34, 11-17.
  9. Jagadeeswara, R.P., Harikrishna, P., Rao, B.S. (2004). An integrated study of groundwater resources of Pedda Gedda Watershed. J. Indian Soc. Remote Sensing, 32, 307-311.
  10. Krishna Kumar, S., Chandrasekar, N., Seralathan, P., Godson, Prince S., Magesh, N.S. (2011). Hydro geochemical study of shallow carbonate aquifers, Rameswaram Island, India. Environmental Monitoring and Assessment, 184(7), 4127-38.
  11. Krishnamurty, J., Srinivas. (1996). Demarcation of geological and geomorphological features of the parts of Dharwar Craton, Karnataka is using IRS LISS-II data. Int. J. Remote Sensing, 17, 3271-3288.
  12. Leblanc, M., Leduc, C., Razack, M., Lemoalle, J., Dagorne, D., Mofor, L. (2003). Application of remote sensing and GIS for groundwater modeling of large semi arid areas: example of the Lake Chad Basin, Africa. In: Hydrology of Mediterranean and Semiarid Regions Conference, Montpieller, France. Red Books Series, 278. IAHS, Wallingford, 186-192.
  13. Magesh, N.S., Chandrasekar, N., Soundranayagam, J. P. (2012). Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geosciences Frontiers, 3 (2), 189-196.
  14. Magesh, N.S., Chandrasekar, N., Soundranayagam, J.P. (2011a). Morph metric evaluation of Papanasam and Manimuthar watersheds, parts of Western Ghats, Tirunelveli district, Tamil Nadu India: a GIS approach. Environmental Earth Science, 64, 373-381.
  15. Magesh, N.S., Chandrasekar, N., Vetha Roy, D. (2011b). Spatial analysis of trace element contamination in sediments of Tamiraparani estuary, southeast coast of India. Estuarine, Coastal and Shelf Science, 92, 618-628.
  16. Muralidhar, M., Raju, K.R.K., Raju, K.S.V.P., Prasad, J.R. (2000). Remote sensing applications for the evaluation of water resources in rain fed area, Warangal district, Andhra Pradesh. Indian Mineralogists, 34, 33-40.
  17. Murthy, K.S.R. (2000). Groundwater potential in a semi-arid region of Andhra Pradesh - a geographical information system approach. International Journal of Remote Sensing, 21, 1867-1884.
  18. Pani, S., Chakrabarty, A., Bhadury, S. (2016). Groundwater Potential Zone Identification by Analytical Hierarchy Process (AHP) Weighted Overlay in GIS Environment A Case Study of Jhargram Block, Paschim Medinipur., International Journal of Remote Sensing & Geoscience, 5 (3), 1-10.
  19. Prasad, R.K., Mondal, N.C., Banerjee, P., Nandakumar, M.V., Singh, V.S. (2008). Deciphering potential groundwater zone in hard rock through the application of GIS. Environmental Geology 55, 467-475.
  20. Ravindran, K.V., Jeyaram, A. (1997). Groundwater prospectus of Shahba Teshil, Bahrain district, eastern Rajasthan: A remote sensing approach. J. Indian Soc. Remote Sensing, 25, 239-246.
  21. Reddy, K.R., Adams, J.A. (1996). In situ air sparging: a new approach for ground water remediation. Geotech News, 14 (4), 27-32.
  22. Sankar, K. (2002). Evaluation of groundwater potential zones using remote sensing data in the upper Vaigai river basin, Tamilnadu, India. J. Indian Soc. Remote Sensing 30(3), 119–130.
  23. Sener, E., Davraz, A., Ozcelik, M. (2005). An integration of GIS and remote sensing in groundwater investigations: a case study in Burdur, Turkey. Hydrogeology Journal 13, 826-834.
  24. Shaban, A., Khawlie, M., Abdallah, C. (2006). Use of remote sensing and GIS to determine recharge potential zone: the case of Occidental Lebanon. Hydrogeology Journal 14, 433 - 443.
  25. Shankar, M.N.R., Mohan, G. (2006). Assessment of the groundwater potential and quality in Bhatsa and Kalu river basins of Thane district, western Deccan Volcanic Province of India. Environmental Geology, 49, 990-998.
  26. Sree Devi, P. D., Srinivasulu, S., Raju, K. K. (2001). Hydro geomorphological and groundwater prospects of the Pageru river basin by using remote sensing data. Environ. Geol. 40, 1088–1094.
  27. Thomas, A., Sharma, P.K., Sharma, M.K., Sood, Anil. (1999). Hydro-geomorphological mapping in assessing groundwater by using remote sensing data the case study in Lehra Gage Block, Sangrur district, Punjab. Journal of Indian Society of Remote Sensing, 27, 31-42.
  28. Tiwari, A., Rai, B. (1996). Hydro morphological mapping for groundwater prospecting using Landsat-MSS image data - case study of Part of Dhanbad District, Bihar. Journal of Indian Society of Remote Sensing, 24, 281-285.
  29. Tweed, S.O., Leblanc, M., Webb, J.A., Lubczynski, M.W. (2007). Remote sensing and GIS for mapping groundwater recharge and discharge areas in salinity prone catchments, southeastern Australia. Hydrogeology Journal, 15, 75-96.

Downloads

Published

2018-02-28

Issue

Section

Research Articles

How to Cite

[1]
Surajit Bera, " Delineation of Ground Water Prospect Zone in hard rock terrine part of Purulia District of West Bengal-India using Remote Sensing & GIS Approach, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1361-1370, January-February-2018.