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1 Poonia, A.; Punia, M.. 2018. A question on sustainability of drinking water supply: a district level analysis of India using analytic hierarchy process. Water Policy, 20(4):712-724. [doi: https://doi.org/10.2166/wp.2018.104]
Water supply ; Drinking water ; Sustainability ; Indicators ; Water governance ; Water availability ; Water scarcity ; Groundwater ; Rivers ; Households / India
(Location: IWMI HQ Call no: e-copy only Record No: H048883)
(0.21 MB)
The subject of drinking water supply falls under the legislative jurisdiction of the State governments in India. States have their own mechanism of drinking water supply through urban and rural local bodies. Drinking water supply itself is a multidimensional phenomenon of sources, quality, accessibility, sufficiency, etc. This study combines various aspects of drinking water supply at the district level, by assigning weights through analytic hierarchy process, to result in a drinking water supply index. The spatial pattern of drinking water supply index is not in favor of the areas having abundant natural water endowment. Areas which are low in the natural endowment of water are better in drinking water supply, while areas which have abundant natural water are not able to manage the available water and are low on the drinking water supply index. Among various socio-economic-political factors, water governance is most important in the wake of water supply being the function of urban and rural local bodies.
2 Maiti, A.; Acharya, P.; Sannigrahi, S.; Zhang, Q.; Bar, S.; Chakraborti, S.; Gayen, B. K.; Barik, G.; Ghosh, Surajit; Punia, M.. 2022. Mapping active paddy rice area over monsoon Asia using time-series Sentinel – 2 images in Google Earth engine; a case study over Lower Gangetic Plain. Geocarto International, 37(25):10254-10277. [doi: https://doi.org/10.1080/10106049.2022.2032396]
Rice ; Mapping ; Satellite imagery ; Monsoons ; Time series analysis ; Case studies ; Farmland ; Precipitation ; Models / India / West Bengal / Lower Gangetic Plain
(Location: IWMI HQ Call no: e-copy only Record No: H051089)
(4.00 MB)
We proposed a modification of the existing approach for mapping active paddy rice fields in monsoon-dominated areas. In the existing PPPM approach, LSWI higher than EVI at the transplantation stage enables the identification of rice fields. However, it fails to recognize the fields submerged later due to monsoon floods. In the proposed approach (IPPPM), the submerged fields, at the maximum greenness time, were excluded for better estimation. Sentinel–2A/2B time-series images were used for the year 2018 to map paddy rice over the Lower Gangetic Plain (LGP) using Google earth engine (GEE). The overall accuracy (OA) obtained from IPPPM was 85%. Further comparison with the statistical data reveals the IPPPM underestimates (slope (b1) ¼ 0.77) the total reported paddy rice area, though R2 remains close to 0.9. The findings provide a basis for near real-time mapping of active paddy rice areas for addressing the issues of production and food security.
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