[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content

Advertisement

Springer Nature Link
Log in

Geospatial Data Analysis Using Fuzzy Analytical Hierarchy Process to Delineate Groundwater Potential Zone in a Semi-arid Hard Rock Terrain

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

Abstract

Delineation of groundwater potential zone (GWPZ) is the fundamental need to achieve sustainable development/management of groundwater resources. The hybrid approach of geospatial data analysis using fuzzy analytical hierarchy process (FAHP) is a very potent application which can effectively delineate GWPZ. The present research is carried out with an aim to evaluate the applicability of this hybrid method towards groundwater sustainability in semi-arid hard rock terrain of South Indian shield region, Mahabubnagar district of Telangana. Geomorphology, lineament density (LD), lithology, landuse, slope, soil texture, drainage density (DD) and rainfall are used as controlling thematic variables. The derived result classified the study area into five distinct GWPZ namely, very poor, poor, moderate, good and very good GWPZ. Around 70% of the study area falls under moderate to very poor GWPZ, whereas only around 30% of the study area is falling under good to very good GWPZ. Research authenticity is carried out by comparing well yield data with GWPZ index (GWPZI). Critical parameter overall quality percentage (OQP) (81.75%) value demonstrated very good prediction accuracy.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Arulbalaji, P., Padmalal, D. and Sreelash, K. (2019) GIS and AHP techniques based delineation of groundwater potential zones: a case study from southern Western Ghats, India. Scientific Reports, v.9(1), pp.1–17.

    Article  Google Scholar 

  • Bali, B.A., Kumawat, B.L., Singh, A.J., Chopra, R.A. (2015) Evaluation of ground water in Sriganganagar district of Rajasthan. Ecoscan, v.(1&2), pp.133–6.

    Google Scholar 

  • Buckley, J.J. (1985) Fuzzy hierarchical analysis. Fuzzy Sets and Systems, v.17(3), pp.233–247.

    Article  Google Scholar 

  • CGWB-Central Ground Water Board (2013) Groundwater Brochure Mahabubnagar district, Andhra Pradesh, Southern region, Hyderabad, India

  • Charan, V.S., Jyothi, B.N., Saha, R., Wankhede, T., Das, I.C. and Venkatesh, J. (2020) An Integrated Geohydrology and Geomorphology Based Subsurface Solid Modelling for Site Suitability of Artificial Groundwater Recharge: Bhalki Micro-watershed, Karnataka. Jour. Geol. Soc. India, v.96(5), pp.458–466

    Article  Google Scholar 

  • Chaudhary, B.S. and Kumar, S. (2018) Identification of groundwater potential zones using remote sensing and GIS of KJ Watershed, India. Jour. Geol. Soc. India, v.91(6), pp.717–721.

    Article  Google Scholar 

  • Chaudhry, A.K., Kumar, K. and Alam, M.A., 2021. Mapping of groundwater potential zones using the fuzzy analytic hierarchy process and geospatial technique. Geocarto Internat., v.36(20), pp.2323–2344.

    Article  Google Scholar 

  • Ganapuram, S., Nagarajan, R. and Chandra Sekhar, G. (2016) Identification of groundwater drought prone zones in Pedda vagu and Ookachetti vagu watersheds, tributaries of the Krishna River, India. Geocarto Internat., v.31(4), pp.385–407.

    Article  Google Scholar 

  • Gopaiah, M., Saha, R., Das, I.C., Sankar, G.J. and Kumar, K.V. (2021). Quantitative assessment of aquifer potential in near shore coastal region using geospatial techniques and ground penetrating radar. Estuarine, Coastal and Shelf Science, v.262, 107590

    Article  Google Scholar 

  • Halder, S., Roy, M.B. and Roy, P.K. (2020) Fuzzy logic algorithm based analytic hierarchy process for delineation of groundwater potential zones in complex topography. Arab. Jour. Geosci., v.13(13), pp.1–22.

    Google Scholar 

  • Jahan, C.S., Rahaman, M., Arefin, R., Ali, M. and Mazumder, Q.H. (2019) Delineation of groundwater potential zones of Atrai-Sib river basin in north-west Bangladesh using remote sensing and GIS techniques. Sustainable Water Resour. Managmt., v.5(2), pp.689–702.

    Article  Google Scholar 

  • Javadi, S., Saatsaz, M., Shahdany, S.M.H., Neshat, A., Milan, S.G. and Akbari, S. (2021) A new hybrid framework of site selection for groundwater recharge. Geosci. Front., v.12(4), 101144.

    Article  Google Scholar 

  • Kannan, D., Khodaverdi, R., Olfat, L., Jafarian, A. and Diabat, A. (2013) Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain. Jour. Cleaner Prod., v.47, pp.355–367.

    Article  Google Scholar 

  • Kumar, A. and Krishna, A.P. (2018) Assessment of groundwater potential zones in coal mining impacted hard-rock terrain of India by integrating geospatial and analytic hierarchy process (AHP) approach. Geocarto Internat., v.33(2), pp.105–129.

    Article  Google Scholar 

  • Kumar Ajay, V., Mondal, N.C. and 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. Jour. Indian Soc. Remote Sensing, v.48(3), pp.497–511.

    Article  Google Scholar 

  • Kumar, M., Singh, P. and Singh, P. (2021a) Fuzzy AHP based GIS and remote sensing techniques for the groundwater potential zonation for Bundelkhand Craton Region, India. Geocarto Internat., pp.1–24.

  • Kumar, R., Dwivedi, S.B. and Gaur, S. (2021b) A comparative study of machine learning and Fuzzy-AHP technique to groundwater potential mapping in the data-scarce region. Computers & Geosciences, v.155, 104855.

    Article  Google Scholar 

  • Maity, D.K. and Mandal, S. (2019) Identification of groundwater potential zones of the Kumari river basin, India: an RS & GIS based semiquantitative approach. Environ., Develop. Sustain., v.21(2), pp.1013–1034.

    Article  Google Scholar 

  • Malczewski, J. (1999) GIS and multicriteria decision analysis. John Wiley & Sons

  • Mandal, K.K., Ranjan, A. and Dharanirajan, K. (2021) Delineation of Groundwater Potential Zones (GWPZ) of Port Blair, Andaman Islands, India, using Multi Influencing Factors (MIF) method and geospatial techniques. Remote Sens. Appl.: Soc. and Environ., v.24, 100631.

    Google Scholar 

  • Mandal, U., Sahoo, S., Munusamy, S.B., Dhar, A., Panda, S.N., Kar, A. and Mishra, P.K. (2016) Delineation of groundwater potential zones of coastal groundwater basin using multi-criteria decision making technique. Water Resour. Managmt., v.30(12), pp.4293–4310.

    Article  Google Scholar 

  • Mehrjerdi, Y.Z. (2012) Developing fuzzy TOPSIS method based on interval valued fuzzy sets. Internat. Jour. Computer Applications, v.42(14), pp.7–18.

    Article  Google Scholar 

  • Rajasekhar, M., Raju, G.S., Sreenivasulu, Y. and Raju, R.S. (2019) Delineation of groundwater potential zones in semi-arid region of Jilledubanderu river basin, Anantapur District, Andhra Pradesh, India using fuzzy logic, AHP and integrated fuzzy-AHP approaches. Hydrol. Res., v.2, pp.97–108.

    Google Scholar 

  • Roy, P., Martha, T.R., Khanna, K., Jain, N. and Kumar, K.V. (2022) Time and path prediction of landslides using InSAR and flow model. Remote Sens. Environ., v.271, 112899.

    Article  Google Scholar 

  • Saaty, T.L (1980) The analytic hierarchy process. New York: McGraw-Hill International

    Google Scholar 

  • Saaty, T.L. and Tran, L.T. (2007) On the invalidity of fuzzifying numerical judgments in the Analytic Hierarchy Process. Mathematical and Computer Modelling, v.46(7–8), pp.962–975.

    Article  Google Scholar 

  • Saha, R., Mitran, T., Mukherjee, S., Das, I. C., & Kumar, K. V. (2021) Groundwater Management for Irrigated Agriculture Through Geospatial Techniques. In Geospatial Technologies for Crops and Soils (pp. 455–488). Springer, Singapore.

    Google Scholar 

  • Sener, E., Sener, S. and Davraz, A. (2018) Groundwater potential mapping by combining fuzzy-analytic hierarchy process and GIS in Bey°ehir Lake Basin, Turkey. Arab. Jour. Geosci. v.11(8), pp.1–21.

    Google Scholar 

  • Sresto, M.A., Siddika, S., Haque, M.N. and Saroar, M. (2021) Application of fuzzy analytic hierarchy process and geospatial technology to identify groundwater potential zones in north-west region of Bangladesh. Environ. Challenges, v.5, 100214.

    Article  Google Scholar 

  • SGWDT-State Ground Water Department (2018) Dynamic groundwater resources of Telangana State (2016–17), Government of Telangana, Hyderabad & Central Ground Water Board Southern Region Hyderabad

  • Zimmermann, H.J. (2011) Fuzzy set theory—and its applications. Springer Science & Business Media.

Download references

Acknowledgments

The authors wish to express their sincere thanks to Dr. Prakash Chauhan, Director, NRSC, Dr. V V. Rao, Deputy Director, RSA NRSC, colleagues of Geosciences and of NRSC, for their encouragement and help to carry out this study.

Author information

Authors and Affiliations

  1. Geosciences Group, National Remote Sensing Centre, ISRO, Hyderabad, 500 037, India

    Rajarshi Saha, Tushar Wankhede, Iswar Chandra Das & Vinod Kumar Kumaranchat

  2. Department of Geology, College of Science & Technology, Andhra University, Visakhapatnam, 530 003, India

    K. Satyanarayana Reddy

Authors
  1. Rajarshi Saha
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tushar Wankhede
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Iswar Chandra Das
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Vinod Kumar Kumaranchat
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. K. Satyanarayana Reddy
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rajarshi Saha.

Electronic Supplementary Material

12594_2023_2275_MOESM1_ESM.pdf

Geospatial Data Analysis Using Fuzzy Analytical Hierarchy Process to Delineate Groundwater Potential Zone in a Semi-arid Hard Rock Terrain

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Saha, R., Wankhede, T., Das, I.C. et al. Geospatial Data Analysis Using Fuzzy Analytical Hierarchy Process to Delineate Groundwater Potential Zone in a Semi-arid Hard Rock Terrain. J Geol Soc India 99, 129–138 (2023). https://doi.org/10.1007/s12594-023-2275-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12594-023-2275-3

Search

Navigation