Abstract
The most important resources for the survival of human race are water resources. Sustainable development cannot be possible without proper monitoring and preserving of groundwater resources. Therefore, this becomes necessary to develop robust approaches and methods to identify groundwater potential zones and manage it. The main aim of this study is to identify the groundwater potential zones in the surrounding regions of Mawphlang Dam which falls in East Khasi Hills of Meghalaya. Different factors such as landuse/landcover, elevation, slope, drainage density, geology and soil have been identified as influencing factors. Techniques such as knowledge-based GIS overlay, AHP-based overlay and fuzzy AHP-based overlay have been employed. Results obtained from the study have been compared with the groundwater potential map prepared by Bhuvan. This shows that results are in right direction, and these findings have also been validated based on field observation. Significant variations in the results of different techniques have been found. This helps in analyzing the intrinsic characteristics of the model and event in a more effective manner.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Nilawar, A.L.: Identification of groundwater potential zone using remote sensing and GIS technique. Shri Guru Gobind Singhji Institute of Engineering and Technology 3, 1 (2014)
Adeyeeye, O.A., Ikopokonte, E.A., Arabi, S.A.: GIS based groundwater potential mapping within this Dengri area, North Central Nigeria. 1,5,7–8 (2018)
Ryngnga, P.K.: Land evaluation for landuse planning: a case of Mawphlang, East Khasi Hills Meghalaya. vol. 2, Issue 2, pp. 34
Balasubramanian, A.: Meghalaya- At a Glance, pp. 2 (2017)
Whitaker, R.: The analytic hierarchy process- what it is and how it is used, vol. 9 (1987)
Wang, Y.M., Chim, K.S.: Fuzzy analytic hierarchy process: a logarithmic fuzzy preference programming methodology (2010)
Thapa, R., Gupta, S., Guin, S., Kaur, H.: Assessment of groundwater potential zones using multi influencing factor and GIS: a case study from Birbhum Distict, West Bengal. pp. 10, May 2017
Razavi Termeh, S.V., Sadeghi- Niaraki, A., Choi, S.M.: Groundwater potential mapping using an integrated ensemble of three bivariate statistical models with random forest and logistic model tree model. pp. 5 (2019)
Hussein, A.A., Govindu, V., Nigusse, A.G.M.: Evaluation of groundwater potential using geospatial techniques. pp. 5,9 (2016)
Acknowledgements
The author would like to thank Dr. AlokBhushan Mukherjee, Prof. S. Dey, Department of Geography, North Eastern Hills University Shillong, for their meticulous supervision, affectionate advice, support and encouragement.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Thabah, H., Mipun, B.S. (2022). Delineation and Assessment of Groundwater Potential Zones Using Geospatial Technology and Fuzzy Analytical Hierarchy Process Model. In: Satapathy, S.C., Peer, P., Tang, J., Bhateja, V., Ghosh, A. (eds) Intelligent Data Engineering and Analytics. Smart Innovation, Systems and Technologies, vol 266. Springer, Singapore. https://doi.org/10.1007/978-981-16-6624-7_41
Download citation
DOI: https://doi.org/10.1007/978-981-16-6624-7_41
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-6623-0
Online ISBN: 978-981-16-6624-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)