Your search found 3 records
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.
2 Shah, Manisha; Daschowdhury, S.; Shah, Tushaar. 2019. Pro-poor agricultural power policy for West Bengal. Paper presented at the 3rd World Irrigation Forum (WIF3) on Development for Water, Food and Nutrition Security in a Competitive Environment, Bali, Indonesia, 1-7 September 2019. 12p.
Energy policies ; Electricity supplies ; Energy consumption ; Tariffs ; Water market ; Water pricing ; Irrigation ; Costs ; Agricultural production ; Rice ; Farmers ; Groundwater ; Shallow tube wells ; Pumps ; Poverty ; Economic aspects ; Villages / India / West Bengal / Birbhum / Monoharpur
(Location: IWMI HQ Call no: e-copy only Record No: H049709)
(0.19 MB) (192 KB)
Sitting on one of the world’s best aquifers, large swathes of West Bengal has groundwater in abundance. Even so, the state’s farmers incur one of the highest irrigation costs in India. In spite of a series of groundwater and electricity policy changes, West Bengal’s farmers fare no better. This paper brings findings from a yearlong research pilot based in Monoharpur village of Birbhum district. The pilot shows how the current electricity tariff structure has made irrigation unaffordable for small and marginal farmers, and has made irrigation services market tightly oligopolistic. If not revised, the agricultural economy, especially that of summer paddy which ensures household security of poor farmers, is likely to taper off in future.
3 Mukherjee, I.; Singh, U. K. 2020. Delineation of groundwater potential zones in a drought-prone semi-arid region of East India using GIS and analytical hierarchical process techniques. Catena, 194:104681. (Online first) [doi: https://doi.org/10.1016/j.catena.2020.104681]
Groundwater potential ; Semiarid zones ; Geographical information systems ; Drought ; Remote sensing ; Groundwater recharge ; Aquifers ; Land use ; Land cover ; Rain ; River basins ; Slope ; Soil types ; Sensitivity analysis ; Multicollinearity ; Topography ; Techniques / India / West Bengal / Birbhum
(Location: IWMI HQ Call no: e-copy only Record No: H049780)
(6.62 MB)
Over-extraction of groundwater has compromised its climatic resilience properties and the arid/semi-arid rural tracts are becoming increasingly vulnerable to the risks of groundwater scarcity. This study has employed a combination of Geographical Information System (GIS) and Analytical Hierarchical Process (AHP) techniques to delineate the Groundwater Potential Zones (GPZs) of the semi-arid Birbhum district in eastern India which suffers from seasonal drought during lean periods. For a reliable evaluation, a large number of thematic layers (N = 12) including geology, geomorphology, Land Use/Land Cover (LULC), fault and lineament density, drainage density, rainfall, soil type, slope, roughness, topographic wetness index, topographic position index and curvature were considered for this assessment. Multicollinearity and consistency checks were performed prior integrating the layers to avoid a non-trivial degree of accuracy in prediction output. The GPZ map was obtained with an accuracy of 80.49% with respect to the observation tube well data. Based on the obtained output, 38.24%, 24.24% and 11.14% of areas of the district classified as moderate, poor, and very poor GPZs, respectively, whereas only 26.38% of the district classified as high to very high GPZs. Cross-validation using the Receiver Operating Characteristic curve revealed a good prediction accuracy of 71.50%. Furthermore, map removal and single parameter sensitivity analysis was also performed which revealed geology, geomorphology, soil types, rainfall, LULC and lineament density as the most influential parameters for the prediction model where exclusion of any thematic layer significantly changes the prediction accuracy and area of each GPZ class. The most convincing GPZs are recorded in some parts of the Mayurakshi and Ajay river basins and certain alluvial aquifer regions. Nonetheless, the study recommends the adaptation of Managed Aquifer Recharge techniques including rainwater harvesting, alternative cropping patterns and irrigation techniques such as sprinklers, drips and micro irrigations to increase the groundwater potential of the water crisis zones.
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