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Volume 8 Issue 2
Jun.  2020
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Dinagarapandi Pandi, Saravanan Kothandaraman, Mohan Kuppusamy. 2020: Delineation of potential groundwater zones based on multicriteria decision making technique. Journal of Groundwater Science and Engineering, 8(2): 180-194. doi: 10.19637/j.cnki.2305-7068.2020.02.009
Citation: Dinagarapandi Pandi, Saravanan Kothandaraman, Mohan Kuppusamy. 2020: Delineation of potential groundwater zones based on multicriteria decision making technique. Journal of Groundwater Science and Engineering, 8(2): 180-194. doi: 10.19637/j.cnki.2305-7068.2020.02.009

Delineation of potential groundwater zones based on multicriteria decision making technique

doi: 10.19637/j.cnki.2305-7068.2020.02.009

Saravanan Kothandaraman

  • Publish Date: 2020-06-28
  • Groundwater is the most prioritized water source in India and plays an indispensable role in India’s economy. The groundwater potential mapping is key to the sustainable groundwater development and management. A hybrid methodology is applied to delineate potential groundwater zones based on remote sensing, geographical information systems (GIS) and analytic hierarchy process (AHP) as on multicriteria decision making. For the purpose of demonstrating field application, Chittar watershed, Tamilnadu, India is studied as an example. The important morphological characteristics considered in the study are lithology, geomorphology, lineament density, drainage density, slope, and Soil Conservation Service-Curve Number (SCS-CN). These six thematic layers are generated in a GIS platform. Based on intersecting the layers, AHP method, the values for adopting the pairwise comparison normalized weight and normalized subclasses weightage were given. The normalized subclass weightage is input into each layer subclass. Then, weighted linear combination method is used to add the data layers in GIS platform to generate groundwater potential Index (GWPI) map. The GWPI map is validated based on the net recharge computed from the differences of measured groundwater levels between the pre-monsoon and post-monsoon in the year 2018. The kappa statistics are used to measure level spatial consistency between the GWPI and net recharge map. The overall average spatial matching accuracy between the two data sets is 0.86, while the kappa coefficient for GWPI with net recharge, 0.78. The results show that in Chittar watershed about 870 km2 area is divided into high potential zone (i.e. sum of very high and high potential zone), 667 km2 area, as the moderate one and the rest 105 km2 area, as the poor zone (i.e. sum of very poor and poor potential zone).
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  • Murmu P, Kumar M, Lal D, et al. 2019. Delineation of groundwater potential zones using geospatial techniques and analytical hierarchy process in Dumka district, Jharkhand: India. Groundwater for Sustainable Development, 100239.
    Space, Govt of India, Hyderabad.
    SCS TR55. 1986. Urban hydrology for small watershed. Washington DC: United States Department of Agriculture.
    Devi PS, Srinivasulu S, Raju KK. 2001. Hydrogeomorphological and groundwater prospects of the Pageru river basin by using remote
    Pinto D, Shrestha S. 2017. Delineation of groundwater potential zones in the Comoro watershed Timor Leste using GIS remote
    models for groundwater potential mapping using GIS. Earth Science Informatics, 8(4): 867-883.
    Saraf AK, Choudhury PR. 1998. Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites. International Journal of Remote Sensing, 19(10): 825-1841.
    Senanayake IP, Dissanayake DMDOK, Mayadunna BB, et al. 2016. An approach to delineate groundwater recharge potential sites in Ambalantota, Sri Lanka using GIS techniques. Geoscience Frontiers, 7(1): 115-124.
    Adiat KAN, Nawawi MNM, Abdullah K. 2012. Assessing the accuracy of GIS-based elementary multicriteria decision analysis as a spatial prediction tool: A case of predicting potential zones of sustainable groundwater resources. Journal of Hydrology, 440: 75-89.
    Fashae OA, Tijani MN, Talabi AO, et al. 2014. Delineation of groundwater potential zones in the crystalline basement terrain of SWNigeria: An integrated GIS and remote sensing approach. Applied Water Science, 4(1):19-38.
    Mahmoud SH. 2014. Delineation of potential sites for groundwater recharge using a GIS-based decision support system. Environmental
    Manap MA, Nampak H, Pradhan B, et al. 2014. Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS. Arabian Journal of Geosciences, 7(2): 711-724.
    Rahmati O, Samani AN, Mahdavi M, et al. 2015. Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS. Arabian Journal of Geosciences, 8(9): 7059-7071.
    Mukherjee P, Singh CK, Mukherjee S. 2012. Delineation of groundwater potential zones in arid region of India-a remote sensing and GIS approach. Water Resources Management, 26(9): 2643-2672.
    Saaty TL. 1980. The analytic hierarchy process: planning priority setting resource allocation. New York: McGraw-Hill Publisher.
    NRSA. 1995. Integrated mission for sustainable development technical guidelines. National Remote Sensing Agency, Department of
    Sensing Applications: Society and Environment, 8: 12-19.
    Srinivas Y, Oliver DH, Raj AS, et al. 2013. Evaluation of groundwater quality in and around Nagercoil town Tamilnadu India: An integrated geochemical and GIS approach. Applied Water Science, 3(3): 631-651.
    Mahmoud SH, Alazba AA. 2014. Identification of potential sites for groundwater recharge using a GIS-based decision support system in
    Guru B, Seshan K, Bera S. 2017. Frequency ratio model for groundwater potential mapping and its sustainable management in cold desert, India. Journal of King Saud UniversityScience, 29(3): 333-347.
    Subramani T, Elango L, Damodarasamy SR. 2005. Groundwater quality and its suitability for drinking and agricultural use in Chithar River Basin, Tamil Nadu, India. Environmental Geology, 47(8): 1099-1110.
    Jha MK, Chowdary VM, Chowdhury A. 2010. Groundwater assessment in Salboni Block West Bengal (India) using remote sensing geographical information system and multicriteria decision analysis techniques. Hydrogeology Journal, 18(7): 1713-1728.
    Magesh NS, Chandrasekar N. 2017. Driving forces behind land transformations in the Tamiraparani sub-basin, South India. Remote
    Kumar T, Jhariya DC. 2017. Identification of rainwater harvesting sites using SCS-CN methodology remote sensing and geographical
    Nampak H, Pradhan B, Manap MA. 2014. Application of GIS based data driven evidential belief function model to predict groundwater potential zonation. Journal of Hydrology, 513: 283-300.
    Agarwal E, Agarwal R, Garg RD, et al. 2013. Delineation of groundwater potential zone: An AHP/ANP approach. Journal of Earth
    information system techniques. Geocarto International, 32(12): 1367-1388.
    Razandi Y, Pourghasemi HR, Neisani NS, et al.2015. Application of analytical hierarchy Process, frequency ratio and certainty factor
    Jazan region-Saudi Arabia. Water Resources Management, 28(10): 3319-3340.
    Nag SK, Kundu A. 2018. Application of remote sensing GIS and MCA techniques for delineating groundwater prospect zones in Kashipur block, Purulia district, West Bengal. Applied Water Science, 8(1): 38.
    zones of a river basin in Kerala southwest coast of India. International Journal of Remote Sensing, 28(24): 5583-5601.
    Kirubakaran M, Johnny JC, Ashokraj C, et al. 2016. A geostatistical approach for delineating the potential groundwater recharge zones in the hard rock terrain of Tirunelveli taluk, Tamil Nadu, India. Arabian Journal of Geosciences, 9(5): 382.
    Anbazhagan S, Jothibasu A. 2016. Geoinformatics in groundwater potential mapping and sustainable development: A case study from southern India. Hydrological Sciences Journal,61(6): 1109-1123.
    LIU Yu, CHENG Yan-pei, GE Li-qiang. 2018. Analysis on exploitation status, potential and strategy of groundwater resources in the five countries of Central Asia. Journal of Groundwater Science and Engineering, 6(1): 49-57.
    System Science, 122(3): 887-898.
    Earth Sciences, 72(9): 3429-3442.
    Saaty TL. 2008. Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1): 83.
    Kumar V, Jain SK, Singh Y. 2010. Analysis of longterm rainfall trends in India. Hydrological Sciences Journal, 55(4): 484-496.
    Bangladesh during 1960-2005. Environmental Monitoring and Assessment, 150: 237.
    Joubert A, Stewart TJ, Eberhard R. 2003. Evaluation of water supply augmentation and water demand management options for the city of Cape Town. Journal of Multi-Criteria Decision Analysis, 12(1): 17-25.
    Vargas LG. 1990. An overview of the analytic hierarchy process and its applications. European Journal of Operational Research, 48(1):
    Magesh NS, Chandrasekar N, Soundranayagam JP. 2012. Delineation of groundwater potential zones in Theni district, Tamil Nadu, using
    Chowdhury A, Jha MK, Chowdhury VM, et al. 2009. Integrated remote sensing and GISbased approach for assessing groundwater potential in West Medinipur district West Bengal India. International Journal of Remote Sensing, 30(1): 231-250.
    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 Resources Management, 25(5): 1359-1386.
    Sadiki ML, El Mansouri B, Benseddik B. 2019.Improvement of groundwater resources potential by artificial recharge technique: A casestudy of Charf El Akab aquifer in the Tangier region, Morocco. Journal of Groundwater Science and Engineering, 7(3): 224-236.
    variability analysis of groundwater level in piedmont plains, northwest China. SpringerPlus, 5(1): 425.
    sensing data. Environmental Geology, 40(9): 1088-1094.
    sensing and analytic hierarchy process (AHP) technique. Applied Water Science, 7(1): 503-519.
    Pontius RG. 2000. Quantification error versus location error in comparison of categorical maps. Photogrametric Engineering and Remote Sensing, 66(8): 1011-1016.
    remote sensing, GIS and MIF techniques. Geoscience Frontiers, 3(2): 189-196.
    Kumar TJR, Balasubramanian A, Kumar RS, et al. 2016. Assessment of groundwater potential based on aquifer properties of hard rock
    Dunning AM, Durocher F, Healey CS, et al. 2000. The extent of linkage disequilibrium in four populations with distinct demographic histories. The American Journal of Human Genetics, 67(6): 1544-1554.
    WRIS. 2019. India-wris webgis water resource information system of India.
    Manap MA, Sulaiman WNA, Ramli MF, et al. 2013. A knowledge-driven GIS modeling technique for groundwater potential mapping at the upper Langat Basin Malaysia. Arabian Journal of Geosciences, 6(5): 1621-1637.
    Dewan AM, Yamaguchi Y. 2009. Using remote sensing and GIS to detect and monitor land use and land cover change in Dhaka Metropolitan of
    Chenini I, Mammou AB. 2010. Groundwater recharge study in arid region: An approach using GIS techniques and numerical modeling. Computers and Geosciences, 36(6): 801-817.
    Dinesh KPK, Gopinath G, Seralathan P. 2007. Application of remote sensing and GIS for the demarcation of groundwater potential
    Dinagara PP, Saravanan K, Mohan K. 2017. Identifying runoff harvesting sites over the Pennar Basin, Andhra Pradesh using SCSCN method. International Journal of Civil Engineering and Technology, 8(8): 65-73.
    Díaz-Alcaide S, Martínez-Santos P. 2019. Advances in groundwater potential mapping. Hydrogeology Journal, 27(7): 2307-2324.
    Gnanachandrasamy G, Zhou Y, Bagyaraj M, et al. 2018. Remote sensing and GIS based groundwater potential zone mapping in Ariyalur District, Tamil Nadu. Journal of the Geological Society of India, 92(4): 484-490.
    XIAO Yong, GU Xiao-min, YIN Shi-yang, et al. 2016. Geostatistical interpolation model selection based on ArcGIS and spatiotemporal
    terrain in the Chittar-Uppodai watershed, Tamil Nadu, India. Applied Water Science, 6(2): 179-186.
    Arulbalaji P, Padmalal D, Sreelash K. 2019. GIS and AHP techniques based delineation of groundwater potential zones: A case study from Southern Western Ghats, India. Scientific Report, 9: 2082.
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