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Evaluation of Multiple Hydrometerological Factors for Prioritization of Water Stress Areas in the Upper Yerala River Basin, Satara, Maharashtra, India

  • Mustaq Shaikh
  • Milind Herlekar
  • Bhavana Umrikar
Conference paper

Abstract

The purpose of this paper is to develop an approach for the prioritization of the water stress areas by using the multi-criteria decision-making technique to target water risk management practices. The Survey of India toposheet maps on a scale of 1:50,000 were used for the preparation of base map of the study area. In order to prioritize the water stress area, six thematic layers, viz. groundwater draft, groundwater recharge, groundwater level, rainfall, population, and abstraction structures were chosen as the effective factors. The weights have been assigned to thematic layers based on an expert knowledge. A database was built for managing the various thematic layers generated in GIS framework by using multiple criteria decision-making techniques. MCDM techniques and approaches meliorate the quality of decisions by making the development more overt, proficient, and cogent. Further, the area classified into three categories based on the water stress scores; viz high, moderate and low. The water-stressed map showed that the study area is generally of low water stress region (66.16%). The moderate and high water stress classes occupy 29.26 and 4.58% of the study area, respectively. The paper helps to unveil that the MCDM methods are better suited for uncertain situations where the parameters with different scales and units are used in the analysis. It is observed from the study that the MCDM approach results in reliable illustration of factual picture of the groundwater scenario of the area. This work demonstrates the integrated use of GIS technique with the multicriteria approach to relating the various hydrometerological, demographical datasets to classify the water stress area for future preparedness. It can be concluded that the approach of this study, and parameters used, is a useful framework for the prioritization of water stress region and can be recommended to be applied in such similar areas.

Keywords

GIS Groundwater stress areas MCDM techniques Upper Yerala river basin 

References

  1. 1.
    Shaikh M, Birajdar F (2015) Groundwater assessment and feasibility of artificial recharge structures on over-exploited miniwatersheds of MR-12, Osmanabad District. In: IEEE international symposium on international conference on technologies for sustainable development. IEEE Press, pp 1–5Google Scholar
  2. 2.
    Shaikh M, Birajdar F (2015) Mapping of water scarce zones of Osmanabad District by analysis of groundwater levels and rainfall. Int J Innovations Eng Tech 5:254–262Google Scholar
  3. 3.
    Rodell M, Velicogna I, Famiglietti J (2009) Satellite based estimates of groundwater depletion in India. Nature 460:999–1003CrossRefGoogle Scholar
  4. 4.
    Shaikh M, Birajdar F (2015) Anticipation of water scarcity areas and duration: a case study of Osmanabad district, Maharashtra, India. Int J Latest Technol Eng Manage Sci 4:1–5Google Scholar
  5. 5.
    Goodchıld M, Haınıng R, Stephen W (1992) Integrating GIS and spatial data analysis: problems and possibilities. Int J Geogr Inf Syst 6(5):407–423CrossRefGoogle Scholar
  6. 6.
    Kemal S, Ibrahim G (2007) Spatial analyses of groundwater levels using universal kriging. J Earth Syst Sci 116(1):49–55CrossRefGoogle Scholar
  7. 7.
    Ahn H, Chon H (1999) Assessment of groundwater contamination using geographic information systems. Environ Geochem Health 21:273–289Google Scholar
  8. 8.
    Nas B, Berktay A (2010) Groundwater quality mapping in urban groundwater using GIS. Environ Monit Assess 160:215–227CrossRefGoogle Scholar
  9. 9.
    Dar I, Sankar K, Dar M (2011) Spatial assessment of groundwater quality in Mamundiyar basin, Tamil Nadu, India. J Environ Monit Assess 178:437–447CrossRefGoogle Scholar
  10. 10.
    Shaikh M, Birajdar F (2015) Mapping of feasibility of groundwater for drinking water zones of Akkalkot taluk, Solapur, India using GIS techniques. Int J Sci Res 4:1–5CrossRefGoogle Scholar
  11. 11.
    Sekar I, Randhir T (2007) Spatial assessment of conjunctive water harvesting potential in watershed systems. J Hydrol 334:39–52CrossRefGoogle Scholar
  12. 12.
    Rosegrant M, Ximing C (2001) Overcoming water scarcity and quality constraints, water for food production. A 2020 vision for food, agriculture, and the environment. Vision 2020Google Scholar
  13. 13.
    Sarkar B, Deota B, Raju P, Jugran D (2001) A geographic information system approach to evaluation of groundwater potentiality of Shamri micro-watershed in the Shimla Taluk, Himachal Pradesh. J Ind Soc Remote Sens 29(3):151–164Google Scholar
  14. 14.
    Madani A, Niyazi B (2015) Groundwater potential mapping using remote sensing techniques and weights of evidence GIS model: a case study from Wadi Yalamlam basin, Makkah Province, Westen Saudi Arabi. Environ Earth Sci. doi: 10.1007/s12665-015-4524-2 Google Scholar
  15. 15.
    Srinivasa Y, Jugran D (2003) Delineation of groundwater potential zones and zones of groundwater quality suitable for domestic purposes using remote sensing and GIS. J Sci Hydrol 48(5):821–833Google Scholar
  16. 16.
    Saud Al (2010) Mapping potential areas for groundwater storage in Wadi Aurnah basin, western Arabian peninsula, using remote sensing and geographic information system techniques. Hydrogeol J 18:1481–1495Google Scholar
  17. 17.
    Dar I, Sankar K, Dar M (2010) Remote sensing technology and geographic information system modeling: an integrated approach towards the mapping of groundwater potential zones in hardrock terrain, Mamundiyar basin. J Hydrol 394:285–295CrossRefGoogle Scholar
  18. 18.
    Elewa H, Qaddah A (2011) Groundwater potentiality mapping in the sinai peninsula, Egypt, using remote sensing and GIS-watershed based modeling. Hydrogeol J 19:613–628CrossRefGoogle Scholar
  19. 19.
    Mayilvaganan M, Mohana P, Naidu K (2011) Delineating groundwater potential zones in Thurinjapuram watershed using geospatial techniques. Indian J Sci Tech 4(11):1470–1476Google Scholar
  20. 20.
    Mondal S (2012) Remote sensing and GIS based ground water potential mapping of Kangshabati irrigation command area, West Bengal. J Geogr Nat Disast 1(1):1–8CrossRefGoogle Scholar
  21. 21.
    Srivastava V, Giri D, Bharadwaj P (2012) Study and mapping of ground water prospect using remote sensing, GIS and geoelectrical resistivity techniques—a case study of Dhanbad district, Jharkhand, India. J Ind Geophys Union 16(2):55–63Google Scholar
  22. 22.
    Adji T, Sejati S (2014) Identification of groundwater potential zones within an area with various geomorphological units by using several field parameters and a GIS approach in Kulon Progo Regency, Java, Indonesia. Arab J Geosci 7:161–172CrossRefGoogle Scholar
  23. 23.
    Gleick P (1998) Water an crisis: paths to sustainable water use. Ecol Appl 8(3):571–579 (1998)Google Scholar
  24. 24.
    Ehrlich P, Holdren J (1971) Impact of population growth. Am Assoc Adv Sci New Series 171(3977):1212–1217Google Scholar
  25. 25.
    Madramootoo C, Fyles H (2010) Irrigation in the context of today’s global food crisis. Irrig Drain 59:40–52CrossRefGoogle Scholar
  26. 26.
    Mohammad H, Johnson R (1985) Municipal demand for water in Kuwait’ methodological issues and empirical result. Water Resour Res 21(4):433–438CrossRefGoogle Scholar
  27. 27.
    Vorosmarty C, Green P, Salisbury J, Lammers R (2000) Global water resources: vulnerability from climate change and population growth. Science 289:284–288CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Mustaq Shaikh
    • 1
  • Milind Herlekar
    • 1
  • Bhavana Umrikar
    • 1
  1. 1.Department of GeologySavitribai Phule Pune UniversityPuneIndia

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