Skip to main content
Log in

Application of e-TOPSIS for Ground Water Potentiality Zonation using Morphometric Parameters and Geospatial Technology of Vanvate Lui Basin, Mizoram, NE India

  • Original Article
  • Published:
Journal of the Geological Society of India

Abstract

Morphometric analysis is the mathematical analysis of a watershed. Groundwater storage is directly related to the morphometry of a watershed. Remote sensing and GIS gives an opportunity for the scientific and empirical investigation towards groundwater potentiality. The utilization of RS/GIS for scientific investigation into ground water potentiality is quite innovative for the hilly state of Mizoram of India, which faces acute water shortage during the winter season. Vanvate Lui basin of Mizoram was thus chosen for the present study. It is an important source of water for a significant number of rural villages like Zote, Chhipphir, and Lungmovi. The present study analyzed the groundwater potentiality of Vanvate lui basin and undertook groundwater potentiality zonation of Vanvate lui basin using eTOPSIS model. eTOPSIS is an intregated knowledge-based multi-criteria decision-making model assimilating TOPSIS objective weighting method and Shannon Entropy. Areal, relief and linear morphometric aspects of Vanvate lui basin were extracted from ALOS PALSAR DEM for conducting MCDM. It was found that sub-basins 1, 6, 8 and 2 have high potentiality for groundwater storage. Similar, studies were also done on the Donor basin adjacent to the study area for model validation. After applying e-TOPSIS in the Donor basin, it was found that the result of the study matches the groundwater data of Donor basin as provided by the PHE department, Mizoram. The zones found to be under high potential of groundwater in the sub-basins 14, 9, 2, 11, 6 and 5 are the ones where the ground water depth is less than 70 meters as measured by the ground water department of Mizoram state. The present study will help the policymakers, village governance system, district development authorities and P.W.D of Mizoram to take proper steps towards developing the rural life quality, identifying suitable groundwater storage and ensuring proper steps towards watershed management. It is hoped that the research work will help in mitigating the water scarcity problem of the study area during the dry winter season.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Abrishamchi, A., Ebrahimian, A., Tajrishi, M., & Marino, M. A. (2005) Case study: application of multi-criteria decision making to urban water supply. Jour. Water Resour. Plann. Managmt, v.131(4), pp.326–335.

    Article  Google Scholar 

  • Allafta, H., Opp, C. and Patra, S. (2021) Identification of groundwater potential zones using remote sensing and GIS techniques: A case study of the Shatt Al-Arab Basin. Remote Sensing, v.13(1), p.112.

    Article  Google Scholar 

  • Aouragh, M.H. and Essahlaoui, A. (2018) A TOPSIS approach-based morphometric analysis for sub-watersheds prioritization of high Oum ErRbia basin, Morocco. Spatial Inform. Res., v.26(2), pp.187–202.

    Article  Google Scholar 

  • Ayzel, G., Kurochkina, L., Kazakov, E. and Zhuravlev, S. (2020). Streamflow prediction in ungauged basins: benchmarking the efficiency of deep learning. In: E3S Web of Conferences (v.163, p. 01001). EDP Sciences.

    Article  Google Scholar 

  • Barman, B.K., Rao, Ch U.B., Rao, K.S., Patel, A., Kushwaha, K. and Singh, S.K. (2021) Geomorphic Analysis, Morphometric-based Prioritization and Tectonic Implications in Chite Lui River, Northeast India. Jour. Geol. Soc. India, v.97, pp.385–395.

    Article  Google Scholar 

  • Barman, B.K., Gogoi, C. and Rao, K.S. (2019) Remote sensing and GIS application for morphometric analysis of Upper Mat watershed, Serchhip district, Mizoram. Jour. Appl. Geochem., v.21(2), pp.185–195.

    Google Scholar 

  • Bera, K. and Bandyopadhyay, J. (2012) Ground water potential mapping in Dulung watershed using remote sensing & GIS techniques, West Bengal, India. Internat. Jour. Scient. Res. Publ., v.2(12), pp.1–7.

    Google Scholar 

  • Bharathkumar, L. and Mohammed-Aslam, M.A. (2016) Prioritizing groundwater potential zones using morphometric analysis: a case study of Gulbarga watershed. IOSR Jour. Appl. Geol. Geophys., v.4(3), pp.78–84.

    Google Scholar 

  • Biswas, B. and Jadhav, R.S. (2019) Drainage Analysis and Hydrological implication of Kulu watershaded, Maharashtra, India. Research Reinforcement, v.6(2), pp.81–91.

    Google Scholar 

  • Biswas, B., Kumar, J. and Walker, S. (2018) Hydrological charcterization through morphometric analysis of Churu watershed, Rajasthan using geospatial techniques. Internat. Jour. Adv. Innovat. Res., v.5(3), pp.31–38.

    Google Scholar 

  • Bogale, A. (2021) Morphometric analysis of a drainage basin using geographical information system in Gilgel Abay watershed, Lake Tana Basin, upper Blue Nile Basin, Ethiopia. Appl. Water Sci., v.11(7), pp.1–7.

    Article  Google Scholar 

  • Choubin, B., Solaimani, K., Rezanezhad, F., Roshan, M. H., Malekian, A. and Shamshirband, S. (2019) Streamflow regionalization using a similarity approach in ungauged basins: Application of the geo-environmental signatures in the Karkheh River Basin, Iran. Catena, v.182, 104128.

    Article  Google Scholar 

  • Choudhari, P.P., Nigam, G.K., Singh, S.K. and Thakur, S. (2018) Morphometric based prioritization of watershed for groundwater potential of Mula river basin, Maharashtra, India. Geol. Ecol. Landscapes, v.2(4), pp.256–267.

    Article  Google Scholar 

  • Das, S. (2017) Delineation of groundwater potential zone in hard rock terrain in Gangajalghati block, Bankura district, India using remote sensing and GIS techniques. Modeling Earth Syst. Environ., v.3(4), pp.1589–1599.

    Article  Google Scholar 

  • Doke, A., Pardeshi, S.D. and Das, S. (2020) Drainage morphometry and groundwater potential mapping: application of geoinformatics with frequency ratio and influencing factor approaches. Environ. Earth Sci., 79(16), pp.1–17. doi:https://doi.org/10.1007/s12665-020-09137-6

    Article  Google Scholar 

  • Dove, N. (1957) The ratio of relative and absolute altitude of Mt. Camel. Geog. Rev., v.47, pp.564–569.

    Google Scholar 

  • Ferozur, R.M., Jahan, C.S., Arefin, R. and Mazumder, Q.H. (2019) Groundwater potentiality study in drought prone barind tract, NW Bangladesh using remote sensing and GIS. Groundwater for Sustainable Development, v.8, pp.205–215.

    Article  Google Scholar 

  • Golkarian, A. and Rahmati, O. (2018) Use of a maximum entropy model to identify the key factors that influence groundwater availability on the Gonabad Plain, Iran. Environ. Earth Sci., v.77(10), pp.1–20.

    Article  Google Scholar 

  • Gravelius, H. (1914) Flusskunde. Goschen Verlagshan dlug Berlin. En Zavoianu, I. 1985. In: Morphometry of Drainage Basins. Elsevier, Amsterdam.

    Google Scholar 

  • Guitouni, A. and Martel, J.M. (1998) Tentative guidelines to help choosing an appropriate MCDA method. European Jour. Operat. Res., v.109, pp.501–521.

    Article  Google Scholar 

  • Horton R.E. (1945) Erosional development of streams and their drainage basins: hydrophysical approach to quantitative morphology. Geol. Soc. Amer. Bull., v.56(3), pp.275–370.

    Article  Google Scholar 

  • Horton, R.E. (1932) Drainage basin characteristics. Trans. Amer. Geophys. Union, v.13, pp.350–361

    Article  Google Scholar 

  • Hwang, C.L. and Yoon, K. (1981). Methods for multiple attribute decision making. In: Multiple attribute decision making (pp. 58–191). Springer, Berlin, Heidelberg.

    Chapter  Google Scholar 

  • Jasmin, I. and Mallikarjuna, P. (2013) Morphometric analysis of Araniar river basin using remote sensing and geographical information system in the assessment of groundwater potential. Arabian Jour. Geosci., v.6(10), pp.3683–3692.

    Article  Google Scholar 

  • Lai, Y.J., Liu, T.Y. and Hwang, C.L. (1994) Topsis for MODM. European Jour. Operational Res., v.76(3), pp.486–500. doi:https://doi.org/10.1016/0377-2217(94)90282-8

    Article  Google Scholar 

  • Lalbiakmawia, F. (2015) Application of Remote sensing and GIS techniques for ground water potential zones mapping in Aizawl district, Mizoram, India. Internat. Jour. Engg. Sci. Res. Tech., v.4(1), pp.2921–299.

    Google Scholar 

  • Lalbiakmawia, F. and Kumar, S. (2017) Ground Water Prospecting using Remote Sensing and GIS in Champhai District, Mizoram, India. TTPP, p.131.

  • Li, Q., Sui, W., Sun, B. et al. (2022) Application of TOPSIS water abundance comprehensive evaluation method for karst aquifers in a lead zinc mine, China. Earth Sci. Inform., v.15, pp.397–411. doi:https://doi.org/10.1007/s12145-021-00730-2

    Article  Google Scholar 

  • Lin, M.C., Wang, C.C., Chen, M.S. and Chang, C.A. (2008) Using AHP and TOPSIS approaches in customer-driven product design process. Computers in Industry, v.59(1), pp.17–31.

    Article  Google Scholar 

  • Magesh, N. S., Jitheshlal, K. V., Chandrasekar, N., & Jini, K. V. (2013). Geographical information system-based morphometric analysis of Bharathapuzha river basin, Kerala, India. Appl. Water Sci., v.3(2), pp.467–477.

    Article  Google Scholar 

  • Malekian, A. and Azarnivand, A. (2016) Application of integrated Shannon’s entropy and VIKOR techniques in prioritization of flood risk in the Shemshak watershed, Iran. Water Resour. Managmt, v.30(1), pp.409–425.

    Article  Google Scholar 

  • Mandal, T., Saha, S., Das, J. and Sarkar, A. (2021) Groundwater depletion susceptibility zonation using TOPSIS model in Bhagirathi river basin, India. Model. Earth Syst. Environ., v.8, pp.1711–1731.

    Article  Google Scholar 

  • Miller, V. C. (1953) A quantitative geomorphic study of drainage basin characteristics in the clinch mountain area, Virginia and Tennessee; Department of Geology, Columbia University, New York.

    Google Scholar 

  • Moarefi, A., Sweis, R.J., Hoseini-Amiri, S.M., and Al Balkhy, W. A. (2018) Shannon entropy weighting technique as a practical weighting decision-making tool in project management. Internat. Jour. Managmt. Concep. Phil., v.11(4), pp.377–392.

    Google Scholar 

  • Mukherjee, P., Singh, C.K. and Mukherjee, S. (2012) Delineation of groundwater potential zones in arid region of India—a remote sensing and GIS approach. Water Resour. Managmt., 26(9), pp.2643–2672. https://doi.org/10.1007/s11269-012-0038-9

    Article  Google Scholar 

  • Najafabadi, R.M., Ramesht, M.H., Ghazi, I., Khajedin, S.J., Seif, A., Nohegar, A. and Mahdavi, A. (2016) Identification of natural hazards and classification of urban areas by TOPSIS model (case study: Bandar Abbas city, Iran). Geomatics, Natural Hazards and Risk, v.7(1), pp.85–100.

    Article  Google Scholar 

  • Nampak, H., Pradhan, B. and Abd Manap, M. (2014) Application of GIS based data driven evidential belief function model to predict groundwater potential zonation. Jour. Hydrol., v.513, pp.283–300. doi:https://doi.org/10.1016/j.jhydrol.2014.02.053

    Article  Google Scholar 

  • Olson, D.L. (2004) Comparison of weights in TOPSIS models. Mathematical and Computer Modelling, v.40(7–8), pp.721–727. doi:https://doi.org/10.1016/j.mcm.2004.10.003

    Article  Google Scholar 

  • Pande, C.B., Khadri, S.F.R., Moharir, K.N. and Patode, R.S. (2018) Assessment of groundwater potential zonation of Mahesh River basin Akola and Buldhana districts, Maharashtra, India using remote sensing and GIS techniques. Sustain. Water Resour.Managmt., v.4(4), pp.965–979.

    Article  Google Scholar 

  • Patton, P.C., and Baker, V.R., (1976) Morphometry and floods in small drainage basins subject to diverse hydrogeomorphic controls. Water Resour. Res., v.12, pp.941–952.

    Article  Google Scholar 

  • Qamar, M.U., Ganora, D., Claps, P., Azmat, M., Shahid, M.A. and Khushnood, R.A. (2018) Flow duration curve regionalization with enhanced selection of donor basins. Jour. Appl. Water Engg. Res., v.6(1), pp.70–84. doi:https://doi.org/10.1080/23249676.2016.1196621

    Article  Google Scholar 

  • Rahmati, O., Samani, A.N., Mahdavi, M., Pourghasemi, H.R. and Zeinivand, H. (2015) Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS. Arabian Jour. Geosci., v.8(9), pp.7059–7071. doi:https://doi.org/10.1007/s12517-014-1668-4

    Article  Google Scholar 

  • Rai, P.K., Chandel, R.S., Mishra, V.N. and Singh, P. (2018) Hydrological inferences through morphometric analysis of lower Kosi river basin of India for water resource management based on remote sensing data. Appl. Water Sci., v.8(1), pp.1–16.

    Article  Google Scholar 

  • Roy, A., Keesari, T., Sinha, U.K. and Sabarathinam, C. (2019) Delineating groundwater prospect zones in a region with extreme climatic conditions using GIS and remote sensing techniques: A case study from central India. Jour. Earth Syst. Sci., v.128(8), pp.1–19.

    Google Scholar 

  • Salehi, V., Zarei, H., Shirali, G.A. and Hajizadeh, K. (2020) An entropy-based TOPSIS approach for analyzing and assessing crisis management systems in petrochemical industries. Jour. Loss Prevention in the Process Industries, v.67, 104241.

    Article  Google Scholar 

  • Schumm, S.A. (1956) Evolution of drainage systems and slopes in Badlands at Perth Amboy, New Jersey. Geol. Soc. Amer. Bull., v.67: pp.597–646.

    Article  Google Scholar 

  • Smith, G.H. (1935) The relative relief of Ohio. Geogr. Rev., v.25, pp.272–284

    Article  Google Scholar 

  • Smith, K.G. (1950) Standards for grading texture of erosional topography. Amer. Jour. Sci., v.248(9), pp.655–668.

    Article  Google Scholar 

  • Sreedevi, P.D., Subrahmanyam, K. and Ahmed, S. (2005) The significance of morphometric analysis for obtaining groundwater potential zones in a structurally controlled terrain. Environ. Geol., v.47(3), pp.412–420.

    Article  Google Scholar 

  • Strahler A.N. (1964) Handbook of applied hydrology. In: Chow VT, editor. Quantitative geomorphology of drainage basins and channel networks. New York: Mc-Graw Hill Book Company, pp.39–76.

    Google Scholar 

  • Tarek, M., Arsenault, R., Brissette, F. and Martel, J.L. (2021) Daily streamflow prediction in ungauged basins: an analysis of common regionalization methods over the African continent. Hydrol. Sci. Jour., v.66(11), pp.1695–1711.

    Article  Google Scholar 

  • Velasquez, M., and Hester, P. T. (2013). An analysis of multi-criteria decision-making methods. Internat. Jour. Operations Res., v.10(2), pp.56–66.

    Google Scholar 

  • Wang, J.J., Jing, Y.Y., Zhang, C.F. and Zhao, J.H. (2009) Review on multi-criteria decision analysis aid in sustainable energy decision-making. Renewable and Sustainable Energy Reviews, v.13(9), pp.2263–2278.

    Article  Google Scholar 

  • Wang, Y., Qiu, M., Shi, L., Xu, D., Liu, T. and Qu, X. (2019) A GIS-based Model of Potential Groundwater Yield Zonation for a Sandstone Aquifer based on the EWM and TOPSIS Methods. IMWA “Mine water: technological and ecological challenges, pp.387–393.

  • Yadav, S.K., Singh, S.K., Gupta, M. and Srivastava, P.K. (2014) Morphometric analysis of Upper Tons basin from Northern Foreland of Peninsular India using CARTOSAT satellite and GIS. Geocarto Internat., v.29(8), pp.895–914.

    Article  Google Scholar 

  • Yilmaz, M.U. and Onoz, B. (2020) A Comparative Study of Statistical Methods for Daily Streamflow Estimation at Ungauged Basins in Turkey. Water, v.12(2), pp.459.

    Article  Google Scholar 

  • Zou, Z.H., Yi, Y. and Sun, J.N. (2006) Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. Jour. Environ. Sci., v.18(5), pp.1020–1023.

    Article  Google Scholar 

Download references

Acknowledgement

Author would like to express their heartfelt gratitude to PHE department, Govt. of Mizoram for providing sample well depth data. We would also like to acknowledge Dr. Jayanta Das of Rampurhat College, West Bengal and Dr. Binoy Kr. Barman of Bharat Construction (I) Pvt. Ltd, Nagaland for their constructive suggestions for the overall development of the present study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Brototi Biswas.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Barman, J., Biswas, B. Application of e-TOPSIS for Ground Water Potentiality Zonation using Morphometric Parameters and Geospatial Technology of Vanvate Lui Basin, Mizoram, NE India. J Geol Soc India 98, 1385–1394 (2022). https://doi.org/10.1007/s12594-022-2186-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12594-022-2186-8

Navigation