Your search found 8 records
1 Gupta, A.. 1990. Scientists' views of farmers' practices in India: Barriers to effective interaction. In Parlin, B. W.; Riley, P. J.; Lusk, M. W. (Eds.) Farmer participation and irrigation development: A case from India. Vol II. Logan, UT, USA: International Irrigation Center and Institute for International Rural and Community Development, Utah State University. 8p.
(Location: IWMI-HQ Call no: 731.7.3 G635 PAR Record No: H08625)
Originally published in Chambers, R.; Pacey, A.; Thrupp, L. (Eds.) Farmer first: Farmer innovation and agricultural research. London, UK: Intermediate Technology Publications, pp.24-31.
2 Gupta, A.. 1995. Blurred boundaries: The discourse of corruption, the culture of politics, and the imagined state. American Ethnologist, 22(2):375-402.
(Location: IWMI-HQ Call no: P 7763 Record No: H039721)
3 Bubela, T.; Nisbet, M. C.; Borchelt, R.; Brunger, F.; Critchley, C.; Einsiedel, E.; Geller, G.; Gupta, A.; Hampel, J.; Hyde-Lay, R.; Jandciu, E. W.; Jones, S. A.; Kolopack, P.; Lane, S.; Lougheed, T.; Nerlich, B.; Ogbogu, U.; O’Riordan, K.; Ouellette, C.; Spear, M.; Strauss, S.; Thavaratnam, T.; Willemse, L.; Caulfield, T. 2009. Science communication reconsidered. Commentary. Nature Biotechnology, 27(6):514-518.
(Location: IWMI HQ Call no: e-copy only Record No: H043221)
(0.33 MB)
4 Meenakshi, J. V.; Banerji, A.; Mukherji, Aditi; Gupta, A.. 2012. Does marginal cost pricing of electricity affect groundwater pumping behavior of farmers?. Project report submitted to International Initiative for Impact Evaluation (3ie) by IWMI. New Delhi, India: International Water Management Institute (IWMI). 29p.
Groundwater irrigation ; Pumping ; Costs ; Energy generation ; Electricity supplies ; Pricing ; Water use ; Farms ; Policy ; Surveys ; Tube wells ; Metering ; Water rates ; Households ; Farmers / India / West Bengal
(Location: IWMI HQ Call no: e-copy only Record No: H044958)
(0.47 MB) (1.29MB)
5 Meenakshi, J. V.; Banerji, A.; Mukherji, Aditi; Gupta, A.. 2012. Impact of metering of tube wells on groundwater use in West Bengal, India. IWMI-Tata Water Policy Research Highlight, 46. 7p.
Tube wells ; Groundwater ; Water use ; Electricity supplies ; Farmers ; Pumps ; Irrigation ; Cropping patterns / India / West Bengal
(Location: IWMI HQ Call no: e-copy only Record No: H045495)
(301.6KB)
6 Kundu, D. K.; Gupta, A.; Mol, A. P. J.; Nasreen, M. 2016. Understanding social acceptability of arsenic-safe technologies in rural Bangladesh: a user-oriented analysis. Water Policy, 18(2):318-334. [doi: https://doi.org/10.2166/wp.2015.026]
Arsenic ; Contamination ; Groundwater ; Deep tube wells ; Drinking water ; Water quality ; Filters ; Water users ; Social aspects ; Acceptability ; Technology assessment ; Consumer behaviour ; Health hazards ; Rural communities ; Households / Bangladesh / Chandpur / Kushtia / Manikganj
(Location: IWMI HQ Call no: e-copy only Record No: H047664)
(0.28 MB)
Contamination of shallow tube well drinking water by naturally occurring arsenic is a severe societal and human health challenge in Bangladesh. Multiple technological interventions seeking to ameliorate the problem face hurdles in securing social acceptance, i.e. the willingness of users to receive and use a technology. While most papers focus on expert understanding of social acceptability, this paper analyzes how users themselves understand the factors shaping the social acceptability of safe drinking water options in rural Bangladesh. We then deploy such understanding to comparatively assess which factors users see as most important in securing social acceptance for three safe drinking water options in rural Bangladesh: the arsenic removal household (Sono) filter; the deep tube well; and an improved dug well. We draw on focus groups and semi-structured interviews with technology users in six villages across three districts to analyze how users assess the social acceptability of specific arsenic-safe technologies. Our findings highlight that factors such as availability, affordability and compatibility with existing water use practices, as understood by users, are key to securing users’ acceptance of a specific arsenic-safe option. In concluding, we point to a future research agenda to analyze user-oriented social acceptability of arsenic-safe technologies in developing country contexts.
7 Bhardwaj, R.; Gupta, A.; Garg, J. K. 2017. Evaluation of heavy metal contamination using environmetrics and indexing approach for River Yamuna, Delhi stretch, India. Water Science, 31(1):52-66. [doi: https://doi.org/10.1016/j.wsj.2017.02.002]
Water pollution ; Heavy metals ; Chemical contamination ; Water quality ; Industrial wastes ; Environmental effects ; Evaluation techniques ; Principal component analysis ; Correlation analysis ; Monsoon climate / India / Delhi / River Yamuna
(Location: IWMI HQ Call no: e-copy only Record No: H048762)
https://www.sciencedirect.com/science/article/pii/S1110492916300923/pdfft?md5=648ea7a4051748131a23781653bfee96&pid=1-s2.0-S1110492916300923-main.pdf
https://vlibrary.iwmi.org/pdf/H048762.pdf
https://vlibrary.iwmi.org/pdf/H048762.pdf
(1.23 MB) (1.23 MB)
The objective of the present study is to investigate the current status of heavy metal pollution in River Yamuna, Delhi stretch. The concentrations of Nickel, Cadmium, Chromium, Copper, Iron, Lead, and Zinc in water samples have been studied during December 2013–August 2015. The overall mean concentration of heavy metals was observed in the following order Fe >Cu > Zn > Ni >Cr > Pb >Cd. Correlation analysis formed two distinct groups of heavy metals highlighting similar sources. This was further corroborated by results from principal components analysis that showed similar grouping of heavy metals (Ni, Zn, Fe, Pb, Cd) into PC1 having one common source for these heavy metals and PC2 (Cu, Cr) having another common source. Further, our study pointed out two sites i.e. Najafgarh drain and Shahdara drain outlet in river Yamuna as the two potential sources responsible for the heavy metal contamination. Based on heavy metal pollution index value (1491.15), we concluded that our study area as a whole is critically polluted with heavy metals under study due to pollutant load from various anthropogenic activities.
8 Bordoloi, R.; Das, B.; Tripathi, O. P.; Sahoo, U. K.; Nath, A. J.; Deb, S.; Das, D. J.; Gupta, A.; Devi, N. B.; Charturvedi, S. S.; Tiwari, B. K.; Paul, A.; Tajo, L. 2022. Satellite based integrated approaches to modelling spatial carbon stock and carbon sequestration potential of different land uses of Northeast India. Environmental and Sustainability Indicators, 13:100166. [doi: https://doi.org/10.1016/j.indic.2021.100166]
Carbon sequestration ; Carbon stock assessments ; Land use ; Land cover ; Satellite imagery ; Landsat ; Vegetation index ; Regression analysis ; Biomass ; Climate change mitigation ; Forest cover ; Remote sensing ; Modelling ; Simulation / India / Arunachal Pradesh / Assam / Manipur / Meghalaya / Mizoram / Nagaland / Sikkim / Tripura
(Location: IWMI HQ Call no: e-copy only Record No: H050887)
https://www.sciencedirect.com/science/article/pii/S2665972721000672/pdfft?md5=2b0c924ff6ef3156dbcfe3c57e940f61&pid=1-s2.0-S2665972721000672-main.pdf
https://vlibrary.iwmi.org/pdf/H050887.pdf
https://vlibrary.iwmi.org/pdf/H050887.pdf
(4.25 MB) (4.25 MB)
The study aims to estimate and predict the aboveground biomass, carbon stock and carbon sequestration potential of different land uses of Northeast India and relate these estimates with the land use changes. Many applications such as carbon stock and sequestration monitoring, forest degradation monitoring, and climate change mitigation, require precise and timely estimation of forest biomass. Although traditional field inventory can reliably estimate forest biomass, remote sensing is emerging as an alternate and fast approach to cover larger area with relative precision for biomass estimation. In this study, a combined approach of field inventory and Landsat OLI derived vegetation indices were used in spatial modelling of aboveground biomass and carbon stock in different land uses. A stepwise multilinear regression algorithm was used to derive the model that used Landsat derived NDVI, SAVI and ARVI as predicators. The predicted AGB ranged from 14.32 to 185.95 Mg ha-1 with an average of 148.78 Mg ha-1. The developed model that used combined vegetation indices showed correlation of R2 = 0.79 with an RMSE of 51.04 Mg ha-1. The present study also applied the empirical model (CO2FIX) to simulate the future scenario of carbon stock and carbon sequestration potential of the different land uses. The carbon stock potential of different land uses were 182.31 Mg ha-1, 158.91 Mg ha-1, 134.98 Mg ha-1, 169.26 Mg ha-1, 133.84, 89.95 Mg ha-1, 128.3 Mg ha-1 and 61.36 Mg ha-1 in Tropical forest, Subtropical forest, Temperate forest, Tropical plantation, Subtropical plantation, Temperate plantation, Shifting fallows and Agricultural land, respectively.
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