Skip to main content

Multi-criteria decision analysis for planning and management of groundwater resources in Balod District, India

Abstract

Present study is carried out to assess potential groundwater recharge zone and to identify artificial groundwater recharge sites in the Balod district of Chhattisgarh State, India using Remote sensing (RS), Geographical information system (GIS) and Multi-criteria decision analysis (MCDA) technique. In this study different thematic layers were considered viz. drainage, lineament, geology, geomorphology, soil texture, soil depth, land use/land cover, rainfall, groundwater depth and slope for identification of groundwater recharge zones and sites, which are generated in the RS and GIS environment. The relative weights were assigned to different thematic layers using Analytical hierarchical process (AHP), which is a MCDA technique. While determining the weightage of the various parameters, expert opinions were taken and the artificial groundwater recharge zones and suitable sites for groundwater recharge were deduced. In the present study, five categories of groundwater recharge zones were identified viz. very poor, poor, moderate, good and very good according to their suitability of area for groundwater recharge purposes. It was found that about 31, 14, 12, 15 and 28 % of the study area falls under very poor, poor, moderate, good and very good areas for artificial groundwater recharge, respectively. In this study a total of 178 number of suitable recharge structures with their sites were found for water harvesting to enhance the groundwater conditions of the study area.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

References

  • 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 440:75–89

    Article  Google Scholar 

  • Agarwal R, Garg PK, Garg RD (2013a) Remote sensing and GIS based approach for identification of artificial recharge sites. Water Resour Manage 27(7):2671–2689. doi:10.1007/s11269-013-0310-7

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Bhunia GS, Samanta S, Pal B, Memorial R, Agamkuan S (2012) Deciphering prospective ground water zones of Morobe province. Papua New Guinea 2(3):752–766

    Google Scholar 

  • CGWB (2002) Manual on artificial recharge of ground water. Central Groundwater Board, New Delhi

    Google Scholar 

  • CGWB (2006) Dynamic groundwater resource of Chhattisgarh. Central Groundwater Board, Raipur

    Google Scholar 

  • CGWB (2007) Manual on artificial recharge of ground water. Central Groundwater Board, New Delhi

    Google Scholar 

  • CGWB (2013a) Master Plan for Artificial Recharge to Groundwater in India. Central Groundwater Board, Faridabad

    Google Scholar 

  • CGWB (2013b) Manual on artificial recharge of groundwater. Central Groundwater Board, New Delhi

    Google Scholar 

  • Chen H, Wood MD, Linstead C, Maltby E (2011) Uncertainty analysis in a GIS-based multi-criteria analysis tool for river catchment management. Environ Model Softw 26(4):395–405

    Article  Google Scholar 

  • Chowdary VM, Chakraborthy D, Jeyaram A, Murthy YVNK, Sharma JR, Dadhwal VK (2013) Multi-Criteria Decision Making Approach for Watershed Prioritization Using Analytic Hierarchy Process Technique and GIS. Water Resour Manag 27(10):3555–3571. doi:10.1007/s11269-013-0364-6

    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. Intl 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(6):1209–1222

    Article  Google Scholar 

  • Ghayoumian J, Saravi MM, Feiznia S, Nouri B, Malekian A (2007) Application of GIS techniques to determine areas most suitable for artificial groundwater recharge in a coastal aquifer in southern Iran. J Asian Earth Sci 30(2):364–374

    Article  Google Scholar 

  • Glendenning CJ, Vervoort RW (2010) Hydrological impacts of rainwater harvesting (RWH) in a case study catchment: the Arvari River, Rajasthan, India. Part 1: Field-scale impacts. Agric Water Manag 98(2):331–342. doi:10.1016/j.agwat.2010.09.003

    Article  Google Scholar 

  • Gupta M, Srivastava PK (2010) Integrating GIS and remote sensing for identification of groundwater potential zones in the hilly terrain of Pavagarh, Gujarat, India. Water Int 35(2):233–245

    Article  Google Scholar 

  • Horton RE (1932) Drainage Basin Characteristics”. Trans Am Geophys Union 13:35–61

    Article  Google Scholar 

  • Horton RE (1945) Erosional development of streams and their drainage basins. Bulletin of the ecological Society of America 56:275–370

    Article  Google Scholar 

  • Jha MK, Chowdhury A, Chowdary VM, Peiffer S (2007) Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints. Water Resour Manage 21(2):427–467

    Article  Google Scholar 

  • Kadam AK, Kale SS, Pande NN, Pawar NJ, Sankhua RN (2012) Identifying Potential Rainwater Harvesting Sites of a Semi-arid, Basaltic Region of Western India, using SCS-CN Method. Water Resour Manage 26(9):2537–2554. doi:10.1007/s11269-012-0031-3

    Article  Google Scholar 

  • Krishnamurthy J, Mani A, Jayaraman V, Manivel M (2000) Groundwater resources development in hard rock terrain-an approach using remote sensing and GIS techniques. Int J Appl Earth Obs Geoinf 2(3):204–215

    Article  Google Scholar 

  • Krois J, Schulte A (2014) GIS-based multi-criteria evaluation to identify potential sites for soil and water conservation techniques in the Ronquillo watershed, northern Peru. Appl Geogr 51:131–142. doi:10.1016/j.apgeog.2014.04.006

    Article  Google Scholar 

  • Kumar MG, Agarwal AK, Bali R (2008) Delineation of potential sites for water harvesting structures using remote sensing and GIS. J Indian Soc Remote Sens 36(4):323–334

    Article  Google Scholar 

  • Kumar T, Gautam AK, Kumar T (2014) Appraising the accuracy of GIS-based multi-criteria decision making technique for delineation of groundwater potential zones. Water Resour Manage 28(13):4449–4466. doi:10.1007/s11269-014-0663-6

    Article  Google Scholar 

  • Lewis SA, Lentile LB, Hudak AT, Robichaud PR, Morgan P, Bobbitt MJ (2007) Mapping ground cover using hyperspectral remote sensing. Fire Eco 3(1):109–128

    Article  Google Scholar 

  • Machiwal D, Jha MK, Mal BC (2011) Assessment of groundwater potential in a semi-arid region of India using remote sensing, GIS and MCDM techniques. Water Resour Manage 25(5):1359–1386

    Article  Google Scholar 

  • Madani A, Niyazi B (2015) Evaluation of the relationship between the main lineament trends and the geometry of the drainage network using SPOT-5 and SRTM data: a case study from Bulghah area, Saudi Arabia. Arab J Geosci 8(12):10995–11005. doi:10.1007/s12517-015-1934-0

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Mallick J, Singh CK, Al Wadi H, Ahmed M, Rahman A, Shashtri S, Mukherjee S (2015) Geospatial and geostatistical approach for groundwater potential zone delineation. Hydrol Process 29(3):395–418

    Article  Google Scholar 

  • Manap MA, Sulaiman WNA, Ramli MF, Pradhan B, Surip N (2013) A knowledge-driven GIS modeling technique for groundwater potential mapping at the Upper Langat Basin, Malaysia. Arab J Geosci 6(5):1621–1637

    Article  Google Scholar 

  • Manikandan J, Kiruthika AM, Sureshbabu S (2014) Evaluation of groundwater potential zones in Krishnagiri District, Tamil Nadu using MIF Technique. Int J Innov Res Sci Eng Technol 3(3):10524–10534

    Google Scholar 

  • Mendoza GA, Martins H (2006) Multi-criteria decision analysis in natural resource management: a critical review of methods and new modelling paradigms. For Ecol Manage 230(1):1–22

    Article  Google Scholar 

  • Murthy KSR, Mamo AG (2009) Multi-criteria decision evaluation in groundwater zones identification in Moyale-Teltele subbasin, South Ethiopia. Int J Remote Sens 30(11):2729–2740

    Article  Google Scholar 

  • Nnaji CC, Mama NC (2014) Preliminary Assessment of Rainwater Harvesting Potential in Nigeria: focus on Flood Mitigation and Domestic. Water Supply 28(7):1907–1920. doi:10.1007/s11269-014-0579-1

    Google Scholar 

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

    Article  Google Scholar 

  • Rahman MA, Rusteberg B, Gogu RC, Ferreira JL, Sauter M (2012) A new spatial multi-criteria decision support tool for site selection for implementation of managed aquifer recharge. J Environ Manage 99:61–75

    Article  Google Scholar 

  • Rais S, Javed A (2014) Identification of artificial recharge sites in Manchi Basin, Eastern Rajasthan (India) using remote sensing and GIS techniques. J Geogr Inf Syst 6:162–175

    Google Scholar 

  • Ramakrishnan D, Bandyopadhyay A, Kusuma KN (2009) SCS-CN and GIS-based approach for identifying potential water harvesting sites in the Kali Watershed, Mahi River Basin, India. J Earth Syst Sci 118(4):355–368

    Article  Google Scholar 

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

    Google Scholar 

  • Saaty TL (2004) Decision making—the analytic hierarchy and network processes (AHP/ANP). J Syst Sci Syst Eng 13(1):1–35

    Article  Google Scholar 

  • Saaty TL (2008) Decision making with the analytic hierarchy process. Int J Serv Sci 1(1):83–98

    Google Scholar 

  • Sar N, Khan A, Chatterjee S, Das A (2015) Hydrologic delineation of ground water potential zones using geospatial technique for Keleghai river basin, India. Model Earth Syst Environ 1(3):25. doi:10.1007/s40808-015-0024-3

    Article  Google Scholar 

  • Strahler AN (1952) Hypsometric (area-altitude) analysis of erosional topography. Geol Soc Am Bull 63(11):1117–1142

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Amar Kant Gautam.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Kumar, T., Gautam, A.K. & Jhariya, D.C. Multi-criteria decision analysis for planning and management of groundwater resources in Balod District, India. Environ Earth Sci 75, 649 (2016). https://doi.org/10.1007/s12665-016-5462-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12665-016-5462-3

Keywords

  • Artificial groundwater recharge zone
  • Water resource development plan
  • Multi-criteria decision making
  • Remote sensing
  • Geographic information system