IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v21y2019i2d10.1007_s10668-017-0072-0.html
   My bibliography  Save this article

Identification of groundwater potential zones of the Kumari river basin, India: an RS & GIS based semi-quantitative approach

Author

Listed:
  • Deb Kumar Maity

    (University of Gour Banga)

  • Sujit Mandal

    (University of Gour Banga)

Abstract

Groundwater is envisaged as a valuable common resource. In the present day, groundwater is declining very rapidly due to human intervention. Stress on groundwater in the semiarid locale of West Bengal, especially in Purulia district, is very high due to immense demand and overexploitation. The fundamental goal of the study is to discover potential groundwater zones for the appraisal of groundwater availability in the Kumari river basin, India. Survey of India topographical maps, elevation data (ASTER DEM 30 m), satellite imageries (Landsat 8 and Sentinel-2) and Google Earth images were analyzed using RS-GIS software (ArcGIS 10.3, ERDAS IMAGINE 9.2, MicroImages TNT MIP Pro 2016) to prepare various thematic data layers like altitude, slope angle, drainage density, geomorphology, soil type, geology, land use/land cover, lineament density, distance from rivers and mean annual rainfall. All prepared maps were changed with GIS software utilizing the raster converter apparatus in the raster space. Weighted layer for each thematic data layer was statistically computed by assigning weight values to individual parameters. Class rank was assigned in light of their significance to underground water recharge. Finally, a groundwater potential zone map was prepared utilizing analytical hierarchy process (AHP) and five distinct zones were arranged accordingly. ROC (receiver operating characteristics) curve and groundwater depth map were prepared using the field data to validate the groundwater zonation map of the Kumari river basin.

Suggested Citation

  • Deb Kumar Maity & Sujit Mandal, 2019. "Identification of groundwater potential zones of the Kumari river basin, India: an RS & GIS based semi-quantitative approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(2), pages 1013-1034, April.
    • Handle: RePEc:spr:endesu:v:21:y:2019:i:2:d:10.1007_s10668-017-0072-0
    DOI: 10.1007/s10668-017-0072-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-017-0072-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-017-0072-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hamid Pourghasemi & Biswajeet Pradhan & Candan Gokceoglu, 2012. "Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 63(2), pages 965-996, September.
    2. Michel Le Page & B. Berjamy & Y. Fakir & F. Bourgin & L. Jarlan & A. Abourida & M. Benrhanem & G. Jacob & M. Huber & F. Sghrer & V. Simonneaux & G. Chehbouni, 2012. "An Integrated DSS for Groundwater Management Based on Remote Sensing. The Case of a Semi-arid Aquifer in Morocco," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(11), pages 3209-3230, September.
    3. Thomas L. Saaty, 1990. "An Exposition of the AHP in Reply to the Paper "Remarks on the Analytic Hierarchy Process"," Management Science, INFORMS, vol. 36(3), pages 259-268, March.
    4. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mahenthiran Sathiyamoorthy & Uma Shankar Masilamani & Aaron Anil Chadee & Sreelakhmi Devi Golla & Mohammed Aldagheiri & Parveen Sihag & Upaka Rathnayake & Jyotendra Patidar & Shivansh Shukla & Aryan K, 2023. "Sustainability of Groundwater Potential Zones in Coastal Areas of Cuddalore District, Tamil Nadu, South India Using Integrated Approach of Remote Sensing, GIS and AHP Techniques," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    2. Argha Ghosh & Manoj K. Nanda & Debolina Sarkar, 2022. "Assessing the spatial variation of cropping intensity using multi-temporal Sentinel-2 data by rule-based classification," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 10829-10851, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Madjid Tavana & Mariya Sodenkamp & Leena Suhl, 2010. "A soft multi-criteria decision analysis model with application to the European Union enlargement," Annals of Operations Research, Springer, vol. 181(1), pages 393-421, December.
    2. Neshat, Aminreza & Pradhan, Biswajeet & Dadras, Mohsen, 2014. "Groundwater vulnerability assessment using an improved DRASTIC method in GIS," Resources, Conservation & Recycling, Elsevier, vol. 86(C), pages 74-86.
    3. Dong, Yucheng & Xu, Yinfeng & Li, Hongyi & Dai, Min, 2008. "A comparative study of the numerical scales and the prioritization methods in AHP," European Journal of Operational Research, Elsevier, vol. 186(1), pages 229-242, April.
    4. Entani, Tomoe & Sugihara, Kazutomi, 2012. "Uncertainty index based interval assignment by Interval AHP," European Journal of Operational Research, Elsevier, vol. 219(2), pages 379-385.
    5. Calderon-Monge, Esther & Pastor-Sanz, Iván & Sendra-García, Javier, 2021. "How to select franchisees: A model proposal," Journal of Business Research, Elsevier, vol. 135(C), pages 676-684.
    6. András Farkas, 2011. "Budapest Bridges Benchmarking," Proceedings- 9th International Conference on Mangement, Enterprise and Benchmarking (MEB 2011),, Óbuda University, Keleti Faculty of Business and Management.
    7. Elliott, Michael A., 2010. "Selecting numerical scales for pairwise comparisons," Reliability Engineering and System Safety, Elsevier, vol. 95(7), pages 750-763.
    8. Paul J. Componation & Dawn R. Utley & Robert L. Armacost, 1999. "Prioritizing components of concurrent engineering programs to support new product development," Systems Engineering, John Wiley & Sons, vol. 2(3), pages 168-176.
    9. A Ishizaka & D Balkenborg & T Kaplan, 2011. "Influence of aggregation and measurement scale on ranking a compromise alternative in AHP," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 700-710, April.
    10. Alessio Ishizaka & Sajid Siraj, 2020. "Interactive consistency correction in the analytic hierarchy process to preserve ranks," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(2), pages 443-464, December.
    11. Rajib Tarani Das & Swades Pal, 2018. "Delineation of potential ground water-bearing zones in the Barind tract of West Bengal, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(2), pages 543-567, April.
    12. Luiz Flavio Autran Monteiro Gomes & Luís Alberto Duncan Rangel & Gisele Dos Santos, 2016. "An AHP-based asset allocation model," International Journal of Business and Systems Research, Inderscience Enterprises Ltd, vol. 10(1), pages 78-99.
    13. L. Sun & B. S. Greenberg, 2006. "Multicriteria Group Decision Making: Optimal Priority Synthesis from Pairwise Comparisons," Journal of Optimization Theory and Applications, Springer, vol. 130(2), pages 317-339, August.
    14. Anna Roccati & Guido Paliaga & Fabio Luino & Francesco Faccini & Laura Turconi, 2021. "GIS-Based Landslide Susceptibility Mapping for Land Use Planning and Risk Assessment," Land, MDPI, vol. 10(2), pages 1-28, February.
    15. Fujun Niu & Jing Luo & Zhanju Lin & Minhao Liu & Guoan Yin, 2014. "Thaw-induced slope failures and susceptibility mapping in permafrost regions of the Qinghai–Tibet Engineering Corridor, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(3), pages 1667-1682, December.
    16. Majumdar, Abhijit & Tiwari, Manoj Kumar & Agarwal, Aastha & Prajapat, Kanika, 2021. "A new case of rank reversal in analytic hierarchy process due to aggregation of cost and benefit criteria," Operations Research Perspectives, Elsevier, vol. 8(C).
    17. Yedla, Sudhakar & Shrestha, Ram M., 2003. "Multi-criteria approach for the selection of alternative options for environmentally sustainable transport system in Delhi," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(8), pages 717-729, October.
    18. Bana e Costa, Carlos A. & Vansnick, Jean-Claude, 2008. "A critical analysis of the eigenvalue method used to derive priorities in AHP," European Journal of Operational Research, Elsevier, vol. 187(3), pages 1422-1428, June.
    19. Liu, Qizhi, 2022. "Identifying and correcting the defects of the Saaty analytic hierarchy/network process: A comparative study of the Saaty analytic hierarchy/network process and the Markov chain-based analytic network ," Operations Research Perspectives, Elsevier, vol. 9(C).
    20. Mahmoud Rezaei & Farshad Amiraslani & Najmeh Neysani Samani & Kazem Alavipanah, 2020. "Application of two fuzzy models using knowledge-based and linear aggregation approaches to identifying flooding-prone areas in Tehran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(1), pages 363-385, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:21:y:2019:i:2:d:10.1007_s10668-017-0072-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.