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1 Thapa, R.; Gupta, S.; Guin, S.; Kaur, H. 2018. Sensitivity analysis and mapping the potential groundwater vulnerability zones in Birbhum District, India: a comparative approach between vulnerability models. Water Science, 32(1):44-66. [doi: https://doi.org/10.1016/j.wsj.2018.02.003]
Groundwater assessment ; Sensitivity analysis ; Mapping ; Models ; Forecasting ; Groundwater recharge ; Aquifers ; Hydraulic conductivity ; Soil types ; Land use ; Land cover / India / West Bengal / Birbhum
(Location: IWMI HQ Call no: e-copy only Record No: H048836)
https://www.sciencedirect.com/science/article/pii/S1110492917300085/pdfft?md5=51b266dc01392ceeef29146aaa27a3d4&pid=1-s2.0-S1110492917300085-main.pdf
https://vlibrary.iwmi.org/pdf/H048836.pdf
https://vlibrary.iwmi.org/pdf/H048836.pdf
(10.80 MB) (10.8 MB)
The assessment of groundwater vulnerability is essential especially in developing areas, where agriculture is the main source of the population. In the present study, four different overlay and index method, namely, DRASTIC, modified DRASTIC, pesticide DRASTIC and modified pesticide DRASTIC are implemented with a view to identifying the most appropriate method that predicts the vulnerable zone to groundwater pollution. Sensitivity analysis reveals that net recharge is the most influential parameter of the vulnerability index. Cross comparison of model output shows the highest similarity of 97% is observed between drastic and modified drastic while the maximum difference in models prediction of 49% is observed between modified drastic and pesticide drastic. Reported nitrate concentrations in groundwater are considered for validation of model-generated final output map. The prediction power of the models are assessed using success and prediction rate method and it highlights DRASTIC model as the most suitable model with 89.69% and 84.54% of the area under area under the curve (AUC) for success and prediction rate respectively.
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