Delineation of groundwater potential zones in the hilly topographic region of Serchhip, Mizoram, using Geospatial and analytical hierarchy process
Article Main
Abstract
Groundwater is the most important source of freshwater next to the surface water. Delineation of groundwater potential is critically essential, particularly in hilly complex topographic regions, where the surface water dries up during the dry season. The present study aimed to delineate groundwater potential areas to address the issue of water scarcity in the Serchhip district, Mizoram. The integration of different thematic layers such as lithology, Normalized Difference Vegetation Index (NDVI), rainfall, slope, soil texture, geomorphology, drainage density, lineament density and Topographic Wetness Index (TWI), the groundwater potential zone layers was prepared by Analytical Hierarchy Process (AHP) method. The groundwater potential zones (GWPZ) were classified into five: poor, fair, moderate, good, and excellent. The study revealed that the moderate-good zone occupied about 79.27 % (1126.77 km2), and the fair zone covered an area of about 9.52 % (135.3 km²), while the poor area was only 5.30 % (75.3 km²) out of the total study area (1421.5 km2). The demarcation of groundwater potential zones in Serchhip, Mizoram, served to combat water scarcity in mountainous areas. The amalgamation of geospatial data and AHP methodologies offered pivotal insights for the sustainable management of water resources, facilitating informed decision-making and conservation endeavours amidst the challenges posed by climate fluctuations and population expansion.
Article Details
Article Details
Keywords
Analytical hierarchy process (AHP), Geographical information system (GIS), Geospatial, Groundwater potential zone (GWPZ), Serchhip
References
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Lalbiakmawia, F. (2015). Application of Remote sensing and GIS techniques for ground water potential zones mapping in Aizawl district, Mizoram, India. International Journal of Engineering Sciences & Research Technology, 4(1), 292-299.
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Lawmchullova, I. & Rao, C. U. B. (2024). Estimation of siltation in Tuirial dam: a spatio-temporal analysis using GIS technique and bathymetry survey. Journal of Sedimentary Environments, 9(1), 81-97. https://doi.org/10.1007/s43217-023-00158-2
Lawmchullova, I., Rao, C.U. B. & Lal rinkimi (2023). Soil loss modelling in Himalayan region; A case of Tuirial Basin, Mizoram. Advance Online Publication. https://doi.org/10.21203/rs.3.rs-3235471/v1
Miraki, S., Zanganeh, S. H., Chapi, K., Singh, V. P., Shirzadi, A., Shahabi, H. & Pham, B. T. (2019). Mapping groundwater potential using a novel hybrid intelligence approach. Water resources management, 33, 281-302. https://doi.org/10.1007/s11269-018-2102-6
Mondal, N. C., Adike, S. & Ahmed, S. (2018). Development of entropy-based model for pollution risk assessment of hydrogeological system. Arabian Journal of Geosciences, 11, 1-15. https://doi.org/10.1007/s12517-018-3721-1
Nguyen, P. T., Ha, D. H., Avand, M., Jaafari, A., Nguyen, H. D., Al-Ansari, N.& Pham, B. T. (2020). Soft computing ensemble models based on logistic regression for groundwater potential mapping. Applied Sciences, 10(7), 2469. https://doi.org/10.3390/app10072469
Ombasa, D. T., Kosgei, J. R., Nyandwaro, G. & Munishi, E. S. (2022). Multi-criteria approach to assess groundwater potential: a case study of Baringo County, Kenya. Water Practice & Technology, 17(10), 2199-2223. https://doi.org/10.2166/wpt.2022.122
Rajasekhar, M., Upendra, B., Raju, G. S. & Anand. (2022). Identification of groundwater potential zones in southern India using geospatial and decision-making approaches. Applied Water Science, 12(4), 68. https://doi.org/10.1007/s13201-022-01603-9
Saaty, T. L. (1988). What is the analytic hierarchy process? In Mathematical models for decision support (pp. 109-121). Springer Berlin Heidelberg.
Sałabun, W., Wątróbski, J. & Shekhovtsov, A. (2020). Are mcda methods benchmarkable? a comparative study of topsis, vikor, copras, and promethee ii methods.
Symmetry, 12(9), 1549. https://doi.org/10.3390/sym12091549
Sarkar, S. K., Esraz-Ul-Zannat, M., Das, P. C. & Mohiuddin Ekram, K. M. (2022). Delineating the groundwater potential zones in Bangladesh, 22, 4500–4516. https://doi.org/10.2166/ws.2022.113
Silwal, C. B., Nepal, M., Pathak, D., Karkee, B., Dahal, K. & Acharya, S. (2023). Groundwater potential zonation in the Siwalik of the Kankai River Basin, Eastern Nepal. Water Supply, 23(6), 2332-2348. https://doi.org/10.2166/ws.2023.137
Swetha, T. V., Gopinath, G., Thrivikramji, K. P. & Jesiya, N. P. (2017). Geospatial and MCDM tool mix for
identification of potential groundwater prospects in a tropical river basin, Kerala. Environmental Earth Scien
ces, 76, 1-17. https://doi.org/10.1007/s12665-017-6749-8.
Thakuriah, G. (2023). Geographic information system and analytical hierarchical process approach for groundwater potential zone of lower Kulsi basin, India. Sustainable Water Resources Management, 9(3), 85. https://doi.org/10.1007/s40899-023-00870-x
Vellaikannu, A., Palaniraj, U., Karthikeyan, S., Senapathi, V., Viswanathan, P. M. & Sekar, S. (2021). Identification of groundwater potential zones using geospatial approach in Sivagangai district, South India. Arabian Journal of Geosciences, 14(1), 8. https://doi.org/10.1007/s12517-020-06316-4
Ajay Kumar V, Mondal, N.C. &Ahmed, S. (2020). Identification of groundwater potential zones using RS, GIS and AHP techniques: a case study in a part of Deccan Volcanic Province (DVP), Maharashtra, India. Journal of Indian Society of Remote Sensing, 48(3),497–511. https://doi.org/10.1007/s12524-019-01086-3
Andualem, T. G. & Demeke, G. G. (2019). Groundwater potential assessment using GIS and remote sensing: A case study of Guna tana landscape, upper Blue Nile Basin, Ethiopia. Journal of Hydrology: Regional Studies, 24, 100610. https://doi.org/10.1016/j.ejrh.2019.100610
Arabameri, A., Rezaei, K., Cerda, A., Lombardo, L. & Rodrigo-Comino, J. (2019). GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches. Science of the total environment, 658, 160-177. https://doi.org/10.1016/j.scitotenv.2018.12.115
Arulbalaji, P., Padmalal, D. & Sreelash, K. (2019). GIS and AHP techniques based delineation of groundwater potential zones: a case study from southern Western Ghats, India. Scientific reports, 9(1), 2082. https://doi.org/10.1038/s41598-019-38567-x
Barman, J., Soren, D.D.L., Rao, S.K. & Biswas, B. (2023). Preference Selection Index and Geospatial Technique for Groundwater Potentiality Zonation in Aizawl district, Mizoram, India. Transactions, 45(2), 237-252.
Barman, J. & Biswas, B. (2022). Application of e-TOPSIS for ground water potentiality zonation using morphometric parameters and geospatial technology of Vanvate Lui Basin, Mizoram, NE India. Journal of the Geological Society of India, 98(10), 1385-1394. https://doi.org/10.1007/s12594-022-2186-8
Dikshit, A., Pradhan, B. & Alamri, A. M. (2020). Temporal hydrological drought index forecasting for New South Wales, Australia using machine learning approaches. Atmosphere, 11(6), 585. https://doi.org/10.3390/atmos11060585
Dwivedi, L., Gupta, D. S. & Tripathi, S. (2016). Groundwater potential mapping of Ukmeh River watershed area of upper Vindhyan region using remote sensing and GIS. Indian Journal of Science and Technology, 9(36), 1–7. https://oi.org/10.17485/ijst/2016/v9i36/93781
Ghosh, D., Mandal, M., Banerjee, M. & Karmakar, M. (2020). Impact of hydro-geological environment on availability of groundwater using analytical hierarchy process (AHP) and geospatial techniques: A study from the upper Kangsabati river basin. Groundwater for sustainable development, 11, 100419. https://doi.org/10.1016/j.gsd.2020.100419.
Jhariya, D. C., Khan, R., Mondal, K. C., Kumar, T., K, I. & Singh, V. K. (2021). Assessment of groundwater potential zone using GIS-based multi-influencing factor (MIF), multi-criteria decision analysis (MCDA) and electrical resistivity survey techniques in Raipur city, Chhattisgarh, India. AQUA—Water Infrastructure, Ecosystems and Society, 70(3), 375-400. https://doi.org/10.2166/aqua.2021.129
Karmakar, M., Banerjee, M., Mandal, M. & Ghosh, D. (2021). Application of AHP for groundwater potential zones mapping in plateau fringe terrain: study from Western Province of West Bengal. Groundwater and Society: Applications of Geospatial Technology, 189-219. https://doi.org/10.1007/978-3-030-64136-8_9.
Kassa, A. K., Tessema, N., Habtamu, A., Girma, B. & Adane, Z. (2023). Identifying groundwater recharge potential zone using analytical hierarchy process (AHP) in the semi-arid Shinile watershed, Eastern Ethiopia. Water Practice & Technology, 18(11), 2834-2850. https://doi.org/10.2166/wpt.2023.168
Lalbiakmawia, F. (2015). Application of Remote sensing and GIS techniques for ground water potential zones mapping in Aizawl district, Mizoram, India. International Journal of Engineering Sciences & Research Technology, 4(1), 292-299.
Lawmchullova, I., Lalrinkimi, Rao, C.U.B. (2024a). Morphometric analysis of the Middle Tuirial watershed Mizoram, India and its significance for soil loss risk. Science Vision 1:12-22. https://doi.org/10.33493/scivis.24.01.01
Lawmchullova, I., Lalrinawman, J., Lalrinkimi, Lalngaihawma, J., Rao, C.U.B., Biswas, B. (2024b). Un-planned Urban Growth Monitoring from 1991-2021 of Aizawl city, North-east India by Multi-Temporal Changes and CA-ANN Model. Advance Online Publication. https://doi.org/10.21203/rs.3.rs-4253784/v1
Lawmchullova, I. & Rao, C. U. B. (2024). Estimation of siltation in Tuirial dam: a spatio-temporal analysis using GIS technique and bathymetry survey. Journal of Sedimentary Environments, 9(1), 81-97. https://doi.org/10.1007/s43217-023-00158-2
Lawmchullova, I., Rao, C.U. B. & Lal rinkimi (2023). Soil loss modelling in Himalayan region; A case of Tuirial Basin, Mizoram. Advance Online Publication. https://doi.org/10.21203/rs.3.rs-3235471/v1
Miraki, S., Zanganeh, S. H., Chapi, K., Singh, V. P., Shirzadi, A., Shahabi, H. & Pham, B. T. (2019). Mapping groundwater potential using a novel hybrid intelligence approach. Water resources management, 33, 281-302. https://doi.org/10.1007/s11269-018-2102-6
Mondal, N. C., Adike, S. & Ahmed, S. (2018). Development of entropy-based model for pollution risk assessment of hydrogeological system. Arabian Journal of Geosciences, 11, 1-15. https://doi.org/10.1007/s12517-018-3721-1
Nguyen, P. T., Ha, D. H., Avand, M., Jaafari, A., Nguyen, H. D., Al-Ansari, N.& Pham, B. T. (2020). Soft computing ensemble models based on logistic regression for groundwater potential mapping. Applied Sciences, 10(7), 2469. https://doi.org/10.3390/app10072469
Ombasa, D. T., Kosgei, J. R., Nyandwaro, G. & Munishi, E. S. (2022). Multi-criteria approach to assess groundwater potential: a case study of Baringo County, Kenya. Water Practice & Technology, 17(10), 2199-2223. https://doi.org/10.2166/wpt.2022.122
Rajasekhar, M., Upendra, B., Raju, G. S. & Anand. (2022). Identification of groundwater potential zones in southern India using geospatial and decision-making approaches. Applied Water Science, 12(4), 68. https://doi.org/10.1007/s13201-022-01603-9
Saaty, T. L. (1988). What is the analytic hierarchy process? In Mathematical models for decision support (pp. 109-121). Springer Berlin Heidelberg.
Sałabun, W., Wątróbski, J. & Shekhovtsov, A. (2020). Are mcda methods benchmarkable? a comparative study of topsis, vikor, copras, and promethee ii methods.
Symmetry, 12(9), 1549. https://doi.org/10.3390/sym12091549
Sarkar, S. K., Esraz-Ul-Zannat, M., Das, P. C. & Mohiuddin Ekram, K. M. (2022). Delineating the groundwater potential zones in Bangladesh, 22, 4500–4516. https://doi.org/10.2166/ws.2022.113
Silwal, C. B., Nepal, M., Pathak, D., Karkee, B., Dahal, K. & Acharya, S. (2023). Groundwater potential zonation in the Siwalik of the Kankai River Basin, Eastern Nepal. Water Supply, 23(6), 2332-2348. https://doi.org/10.2166/ws.2023.137
Swetha, T. V., Gopinath, G., Thrivikramji, K. P. & Jesiya, N. P. (2017). Geospatial and MCDM tool mix for
identification of potential groundwater prospects in a tropical river basin, Kerala. Environmental Earth Scien
ces, 76, 1-17. https://doi.org/10.1007/s12665-017-6749-8.
Thakuriah, G. (2023). Geographic information system and analytical hierarchical process approach for groundwater potential zone of lower Kulsi basin, India. Sustainable Water Resources Management, 9(3), 85. https://doi.org/10.1007/s40899-023-00870-x
Vellaikannu, A., Palaniraj, U., Karthikeyan, S., Senapathi, V., Viswanathan, P. M. & Sekar, S. (2021). Identification of groundwater potential zones using geospatial approach in Sivagangai district, South India. Arabian Journal of Geosciences, 14(1), 8. https://doi.org/10.1007/s12517-020-06316-4
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Delineation of groundwater potential zones in the hilly topographic region of Serchhip, Mizoram, using Geospatial and analytical hierarchy process. (2024). Journal of Applied and Natural Science, 16(2), 623-636. https://doi.org/10.31018/jans.v16i2.5482
