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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

  • 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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