Abstract
The problem regarding the uses of groundwater and daily needs is very high in the third world countries like India. Kolkata is one of the metropolitan cities in India, facing several problems, like lack of drinking water, lack of water for daily uses etc. This study is focus to delineate groundwater potential areas of Kolkata with the help of geospatial techniques. Weightage indices have been calculated with the help of few criteria’s like geo-morphological map, hydro-logical map, land use and land cover map etc. Results show most of the area in Kolkata city comes under the low potential zone for groundwater. This type of study will throw a new light over the future studies in the field of groundwater management. Side by side efforts has been made to recommend few suggestive measures to mitigate the problems of groundwater in Kolkata city.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adhikary, P. P., Chandrasekharan, H., Dubey, S. K., Trivedi, S. M., & Dash, Ch. J. (2015). Electrical resistivity tomography for assessment of groundwater salinity in west Delhi. India. Arabian Journal of Geosciences, 8(5), 2687–2698.
Chowdhury, A., Jha, M. K., & Chowdary, 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.
Das, D., Chatterjee, A., Mandal, B. K., Samanta, G., Chanda, B., & Chakraborti, D. (1997). Arsenic in ground water in six districts of West Bengal, India, The biggest arsenic calamity in the world. Part-2. Arsenic concentration in drinking water, hair, nail, urine, skin-scale and liver tissue (biopsy) of the affected people. Analyst, 120, 917–924.
Edet, A. E., & Okereke, C.S. (1997). Assessment of hydrogeological conditions in basement aquifers of the Precambrian Oban massif, southeastern Nigeria, Journal of Applied Geophysics, 36(4), 195–204. ISSN 0926-9851. https://doi.org/10.1016/S0926-9851(96)00049-3.
Harinarayana, P., Gopalakrishna, G. S., & Balasubramanian, A. (2000). Remote sensing data for groundwater development and management in Keralapura watersheds of Cauvery basin, Karnataka, India. The Indian Mineralogists, 34, 11–17.
Kolkata Municipal Corporation. (2012). Water level in Kolkata City, Bulletin of Kolkata (pp. 36–42).
Kumar Dinesh, P. K., Gopinath, G., & Seralathan, P. (2012). Application of remote sensing and GIS for the demarcation of groundwater potential zones of a river basin in Kerala, southwest coast of India. International Journal of Remote Sensing, 28(24), 5583–5601.
Lillesand, T. M., & Kiefer, R. W. (1994). Remote sensing and image interpretation. (3rd ed., pp. 750). Hoboken: Wiley, Inc.
Mohammadi-Behzad, H. R., Charchi, A., & Kalantari, N. (2019). Delineation of groundwater potential zones using remote sensing (RS), geographical information system (GIS) and analytic hierarchy process (AHP) techniques: a case study in the Leylia–Keynow watershed, southwest of Iran. Carbonates Evaporites, 1307–1319. https://doi.org/10.1007/s13146-018-0420-7.
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 rainfed area, Warangal district, Andhra Pradesh. The Indian Mineralogists, 34, 33–40.
Musa, K. A., Juhari Mat, A., & Abdullah, I. (2000). Groundwater prediction potential zone in Langat Basin using the integration of remote sensing and GIS. In The 21st Asian Conference on Remote Sensing, Taipei (Taiwan).
Renji, R., & Panda, R. K. (2008). Remote sensing and GIS application for groundwater quality and risk mapping. In The 3rd International Conference on Water Resources and Arid Environments (2008) and the 1st Arab Water Forum.
Sander, J., Ester, M., & Kriegel, H. P. (1996). Density-based clustering in spatial databases: the algorithm GDBSCAN and its applications. Data Mining and Knowledge Discovery, 2, 169–194. https://doi.org/10.1023/A:1009745219419.
Sciences, E. (2013). Groundwater potential zonation by remote sensing and GIS techniques and its relation to the Groundwater level in the Coastal part of the Arani and Koratalai River Basin. Southern India, 17(2), 87–95.
Soumen, D. (2014). Delineation of groundwater prospect zones using remote sensing, GIS techniques—a case study of Baghmundi development block of Puruliya district, West Bengal. International Journal Geology Earth Environment Science, 4(2), 62–72. ISSN: 2277-2081 (online). An open access, online international journal available at https://www.cibtech.org/jgee.htm.
Srivastava, P. K., & Bhattacharya, A. K. (2006). Groundwater assessment through an integrated approach using remote sensing, GIS and resistivity techniques: A case study from a hard rock terrain. International Journal Remote Sensing, 27(20), 4599–4620.
Subramani, T., Krishnan, S., & Kumaresan, P. K. (2012). Study of groundwater quality with GIS application for Coonoor Taluk in Nilgiri District. International Journal of Modern Engineering Research, 2(3), 586–592.
Taylor, R., & Howard, K. (2000). A tectono-geomorphic model of the hydrogeology of deeply weathered crystalline rock: evidence from Uganda. Hydrogeology Journal, 8(3), 279–294.
Teeuw, R. (1995). Groundwater exploration using remote sensing and a low-cost geographical information system. HYJO, 3, 21–30. https://doi.org/10.1007/s100400050057.
Thomas, B. C., Kuriakose, S. L., & Jaydev, S. K. (2009). A method for groundwater prospect zonation in data poor areas using remote sensing and GIS: a case study in Kalikavu Panchayath of Malappuram district, Kerala, India. International Journal of Digital Earth, 2(2), 155–170.
Tiwari, A. K., Lavy, M., & Mahato, M. K. (2017). 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. Applied Water Science, 7(8), 4513–4524.
Tiwari, A., & Rai, B. (1996). Journal of Indian Society of Remote Sensing, 24, 281–285.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Majumdar, S., Chatterjee, U., Shit, P.K., Bhunia, G.S. (2021). Identification of Groundwater Potential Areas Using Geospatial Technologies: A Case Study of Kolkata, India. In: Adhikary, P.P., Shit, P.K., Santra, P., Bhunia, G.S., Tiwari, A.K., Chaudhary, B.S. (eds) Geostatistics and Geospatial Technologies for Groundwater Resources in India. Springer Hydrogeology. Springer, Cham. https://doi.org/10.1007/978-3-030-62397-5_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-62397-5_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-62396-8
Online ISBN: 978-3-030-62397-5
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)