Skip to main content

Advertisement

SpringerLink
Log in

Delineation of Groundwater Potential Zones of Coastal Groundwater Basin Using Multi-Criteria Decision Making Technique

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

Delineation of groundwater potential zones (GWPZ) has been performed for a coastal groundwater basin of eastern India. The groundwater potential zone index (GWPZI) map is generated by using Analytic Hierarchy Process (AHP) from different influencing features, e.g., Land Use/Land Cover (LU/LC), soil (S), geomorphology (GM), hydrogeology (HG), surface geology (SG), recharge rate (RR), drainage density (DD), rainfall (RF), slope (Sl), surface water bodies (SW), lineament density (LD), and Normalized Difference Vegetative Index (NDVI). Recharge rate values are estimated from hydrological water balance model. Overlay weighted sum method is used to integrate all thematic feature maps to generate GWPZ map of the study area. Four zones have been identified for the coastal groundwater basin [very good: 36.39 % (273.53 km2, good: 43.57 % (327.47 km2), moderate: 18.27 % (137.30 km2), and poor: 1.77 % (13.27 km2)]. Areas in north to south-west and south-east direction show very good GWPZ due to the presence of low drainage density. GWPZ map and well yield values show good agreement. Sensitivity analysis reveals that exclusion/absence of rainfall and lineament density increases the poor groundwater potential zones. Omission of hydrogeology, soils, surface geology, and NDVI show maximum increase in good GWPZ. Obtained GWPZ map can be utilized effectively for planning of sustainable agriculture. This analysis demonstrates the potential applicability of the methodology for a general coastal groundwater basin.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Abdullah A (2009) A comparison of Landsat TM and SPOT data for lineament mapping in Hulu Lepar area, Pahang, Malaysia. Eur J Sci Res 34(3):406–415

  • Adiat KAN, Nawawi MNM, Abdullah K (2012) Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool – a case of predicting potential zones of sustainable groundwater resources. J Hydrol 440-441:75–89

    Article  Google Scholar 

  • Agarwal R, Garg PK (2016) Remote sensing and GIS based groundwater potential & recharge zones mapping using multi-criteria decision making technique. Water Resour Manag 30:243–260

    Article  Google Scholar 

  • Agarwal E, Agarwal R, Garg RD, Garg PK (2013a) Delineation of groundwater potential zone: an AHP/ANP approach. J Earth Syst Sci 122(3):887–898

    Article  Google Scholar 

  • Agarwal R, Garg PK, Garg RD (2013b) Remote sensing and GIS based approach for identification of artificial recharge sites. Water Resour Manag 27:2671–2689

    Article  Google Scholar 

  • Al-Adamat RAN, Foster IDL, Baban SMJ (2003) Groundwater vulnerability and risk mapping for the basaltic aquifer of the Azraq basin of Jordan using GIS, remote sensing and DRASTIC. Appl Geogr 23(4):303–324

    Article  Google Scholar 

  • Alonso J, Lamata T (2006) Consistency in the analytic hierarchy process: a new approach. Int J Uncertainty Fuzziness Knowledge Based Syst 14:445–459

  • Avtar R, Singh CK, Shashtri S, Singh A, Mukherjee S (2010) Identification and analysis of groundwater potential zones in Ken–Betwa river linking area using remote sensing and geographic information system. Geocarto Int 25(5):379–396

    Article  Google Scholar 

  • Bagyaraj M, Ramkumar T, Venkatramanan S, Gurugnanam B (2013) Application of remote sensing and GIS analysis for identifying groundwater potential zone in parts of Kodaikanal Taluk, South India. Front Earth Sci 7(1):65–75

    Article  Google Scholar 

  • Bhuvan (2014): URL:http://bhuvan-noeda.nrsc.gov.in/download/download/download.php

  • Chenini I, Mammou AB, El May M (2010) Groundwater recharge zone mapping using GIS-based multi-criteria analysis: a case study in Central Tunisia (Maknassy Basin). Water Resour Manag 24(5):921–939

    Article  Google Scholar 

  • Chowdhury A, Jha MK, Chowdary VM, Mal BC (2009) Integrated remote sensing and GIS-based approach for assessing groundwater potential in West Medinipur district, West Bengal, India. Int J Remote Sens 30(1):231–250

    Article  Google Scholar 

  • Chowdhury A, Jha MK, Chowdary VM (2010) Delineation of groundwater recharge zones and identification of artificial recharge sites in West Medinipur district, West Bengal, using RS, GIS and MCDM techniques. Environ Earth Sci 59:1209–1222

    Article  Google Scholar 

  • Deepika B, Avinash K, Jayappa KS (2013) Integration of hydrological factors and demarcation of groundwater prospect zones: insights from remote sensing and GIS techniques. Environ Earth Sci 70(3):1319–1338

    Article  Google Scholar 

  • Dhar A, Sahoo S, Dey S, Sahoo M (2014) Evaluation of recharge and groundwater dynamics of a shallow alluvial aquifer in central Ganga Basin, Kanpur (India). Nat Resour Res 23(4):409–422

    Article  Google Scholar 

  • Dhar A, Sahoo S, Mandal U, Dey S, Bishi N, Kar A (2015a) Hydro-environmental assessment of a regional groundwater aquifer: Hirakud command area (India). Environ Earth Sci 73(8):4165–4178

    Article  Google Scholar 

  • Dhar A, Sahoo S, Sahoo M (2015b) Identification of groundwater potential zones considering water quality aspect. Environ Earth Sci 74(7):5663–5675

    Article  Google Scholar 

  • Gumma MK, Pavelic P (2013) Mapping of groundwater potential zones across Ghana using remote sensing, geographic information systems, and spatial modeling. Environ Monit Assess 185(4):3561–3579

    Article  Google Scholar 

  • http://power.larc.nasa.gov/cgi-bin/cgiwrap/solar/agro.cgi?email=agroclim@larc.nasa.gov

  • Jha MK, Chowdary VM, Chowdhury A (2010) Groundwater assessment in Salboni block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques. Hydrogeol J 18(7):1713–1728

    Article  Google Scholar 

  • Machiwal D, Jha MK, Mal BC (2010) Assessment of groundwater potential in a semi-arid region of India using remote sensing, GIS and MCDM techniques. Water Resour Manag 25(5):1359–1386

    Article  Google Scholar 

  • Madrucci V, Taioli F, de Araújo CC (2008) Groundwater favorability map using GIS multicriteria data analysis on crystalline terrain, São Paulo State, Brazil. J Hydrol 357(3–4):153–173

    Article  Google Scholar 

  • Magesh NS, Chandrasekar N, Soundranayagam JP (2012) Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geosci Front 3(2):189–196

    Article  Google Scholar 

  • Mahmoud SH, Alazba AA, Amin MT (2014) Identification of potential sites for groundwater recharge using a GIS-based decision support system in Jazan region-Saudi Arabia. Water Resour Manag 28(10):3319–3340

    Article  Google Scholar 

  • Moreaux M, Reynaud A (2006) Urban freshwater needs and spatial cost externalities for coastal aquifers: a theoretical approach. Reg Sci Urban Econ 36(2):163–186

    Article  Google Scholar 

  • Mukherjee P, Singh CK, Mukherjee S (2012) Delineation of groundwater potential zones in arid region of India—a remote sensing and GIS approach. Water Resour Manag 26(9):2643–2672

    Article  Google Scholar 

  • Nag SK, Ghosh P (2012) Delineation of groundwater potential zone in Chhatna block, Bankura District, West Bengal, India using remote sensing and GIS techniques. Environ Earth Sci 70(5):2115–2127

    Article  Google Scholar 

  • Nagarajan M, Singh S (2009) Assessment of groundwater potential zones using GIS technique. J Indian Soc Remote Sens 37:69–77

    Article  Google Scholar 

  • Oh H-J, Kim Y-S, Choi J-K, Park E, Lee S (2011) GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea. J Hydrol 399(3–4):158–172

    Article  Google Scholar 

  • Prasad RK, Mondal NC, Banerjee P, Nandakumar MV, Singh VS (2007) Deciphering potential groundwater zone in hard rock through the application of GIS. Environ Geol 55(3):467–475

    Article  Google Scholar 

  • Ravi Shankar MN, Mohan G (2005) A GIS based hydrogeomorphic approach for identification of site-specific artificial-recharge techniques in the Deccan Volcanic Province. J Earth Syst Sci 114(5):505–514

    Article  Google Scholar 

  • Rejani R, Jha MK, Panda SN, Mull R (2003) Hydrologic and hydrogeologic analyses in a coastal groundwater Basin, Orissa, India. Appl Eng Agric 19(2):177–186

    Article  Google Scholar 

  • Saaty TL (1980) The analytic hierarchy process: planning, priority setting, resource allocation. McGraw-Hill, New York

    Google Scholar 

  • Sahoo, S., Dhar, A., Kar, A., & Ram, P. (2016). Grey analytic hierarchy process applied to effectiveness evaluation for groundwater potential zone delineation. Geocarto Int, 1–18. doi:10.1080/10106049.2016.1195888

  • Senanayake IP, Dissanayake DMDOK, Mayadunna BB, Weerasekera WL (2016) An approach to delineate groundwater recharge potential sites in Ambalantota, Sri Lanka using GIS techniques. Geosci Front 7(1):115–124

    Article  Google Scholar 

  • Srivastava PK, Bhattacharya AK (2006) Groundwater assessment through an integrated approach using remote sensing, GIS and resistivity techniques: a case study from a hard rock terrain. Int J Remote Sens 27(20):4599–4620

    Article  Google Scholar 

  • UNCED (1992) “Agenda 21: Chapter 17.3”, URL: http://www.un.org/depts/los/consultative_process/documents/A21-Ch17.htm [June, 2015].

  • Zaidi FK, Nazzal Y, Ahmed I, Naeem M, Jafri MK (2015) Identification of potential artificial groundwater recharge zones in Northwestern Saudi Arabia using GIS and Boolean logic. J Afr Earth Sci 111:156–169

    Article  Google Scholar 

Download references

Acknowledgments

The authors are thankful to GSI Division, Baripada and Department of Water Resources, Goverenment of Odisha; and the Central Ground Water Board (CGWB), Bhubeneswar and the Chairman, CGWB, Faridabad for providing necessary input data.

Author information

Authors and Affiliations

  1. Hydrology and Engineering Division, ICAR-Indian Institute of Soil & Water Conservation, Dehradun, 248195, India

    Uday Mandal

  2. School of Water Resources, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India

    Satiprasad Sahoo

  3. Department of Civil Engineering, Indian Institute of Technology Kharagpur, Kharagpur, WB, 721302, India

    Selva Balaji Munusamy & Anirban Dhar

  4. Department of Agricultural and Food Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India

    Sudhindra N. Panda

  5. CGWB, Bhujal Bhawan, Faridabad, Haryana, India

    Amlanjyoti Kar

  6. ICAR-Indian Institute of Soil & Water Conservation Dehradun, Dehradun, 248195, India

    Prasanta K. Mishra

Authors
  1. Uday Mandal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Satiprasad Sahoo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Selva Balaji Munusamy
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Anirban Dhar
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Sudhindra N. Panda
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Amlanjyoti Kar
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Prasanta K. Mishra
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Anirban Dhar.

Electronic Supplementary Material

ESM 1

(DOC 423 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mandal, U., Sahoo, S., Munusamy, S.B. et al. Delineation of Groundwater Potential Zones of Coastal Groundwater Basin Using Multi-Criteria Decision Making Technique. Water Resour Manage 30, 4293–4310 (2016). https://doi.org/10.1007/s11269-016-1421-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-016-1421-8

Keywords

Search

Navigation