Your search found 5 records
1 Amarnath, Giriraj. 2013. Cascading Ganges: floods and their impact in the eastern Gangetic Plains. In Sharma, Bharat R.; Prathapar, Sanmugam A. Moving from water problems to water solutions: research needs assessment for the eastern Gangetic Plains. Proceedings of the International Workshop held at the National Agricultural Science Complex (NASC), Indian Council of Agricultural Research (ICAR), New Delhi, India, 7-8 May 2013. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Research Program on Water, Land and Ecosystems (WLE). pp.55-64.
Flooding ; River basins ; International waters ; Models ; Remote sensing ; Vegetation ; Indicators ; Satellite surveys / Nepal / Bangladesh / Eastern India / Eastern Gangetic Plains
(Location: IWMI HQ Call no: e-copy only Record No: H046111)
(6.60 MB)
2 Bahinipati, C. S. 2015. Determinants of farm-level adaptation diversity to cyclone and flood: insights from a farm household-level survey in Eastern India. Water Policy, 17(4):742-761. [doi: https://doi.org/10.2166/wp.2014.121]
Climate change adaptation ; Farmer participation ; Disaster risk management ; Cyclones ; Flooding ; Crop losses ; Farm income ; Households ; Socioeconomic environment ; Models ; Institutions ; Coastal area ; Surveys / Eastern India / Odisha / Balasore / Kendrapada / Jajpur
(Location: IWMI HQ Call no: e-copy only Record No: H047668)
(0.26 MB)
A large number of farmers’ livelihoods are susceptible to cyclones and floods, and farmers are taking up several adaptation mechanisms. Previous studies, therefore, have examined determinants of various adaptation options and provide policy suggestions to promote a specific one. However, options are undertaken at different points depending on the nature and intensity of extreme events. Hence, it is imperative to identify factors influencing farmers’ decisions to adopt an additional option, particularly during ex-ante and ex-post periods. This could assist policymakers to enhance various farm-level adaptation options. Using survey data from 285 farm households in cyclone-and flood-prone regions in eastern India, this study aims to assess the determinants of adaptation diversity. This study finds that the likelihood of undertaking adaptation diversity is high during the ex-post period, and cyclone-affected farmers are likely to adopt a higher number of adaptation measures. Further, size of household, farming experience, per capita income, agriculture as major source of income and crop loss compensation received are some of the important determinants. These findings emphasize the need for investments in scientific modeling for better prediction of extreme events and suggest restructuring the existing institutions to promote several farm-level adaptation measures.
3 Kumar, A.; Nayak, A. K.; Mohanty, S.; Das, B. S. 2016. Greenhouse gas emission from direct seeded paddy fields under different soil water potentials in eastern India. Agriculture, Ecosystems and Environment, 228:111-123. [doi: https://doi.org/10.1016/j.agee.2016.05.007]
Greenhouse gases ; Carbon dioxide ; Methane ; Nitrous oxide ; Emission reduction ; Direct sowing ; Paddy fields ; Climate change ; Water management ; Water productivity ; Irrigation scheduling ; Strategies ; Crop yield ; Soil properties ; Soil water potential ; Statistical methods / Eastern India / Cuttack
(Location: IWMI HQ Call no: e-copy only Record No: H047868)
(2.46 MB)
In the anticipated water scarcity and global warming scenario; it is imperative to identify suitable irrigation scheduling strategy in paddy fields for increasing water productivity and mitigating greenhouse gas (GHG) emissions. We conducted a two year (dry season of 2014 and 2015) field experiment for irrigation scheduling based on tensiometric measurement of soil water potential (SWP)in order to quantify temporal and seasonal variations in GHGs emissions and their trade off relationship at five levels of SWPs viz. SWP 1 (-20 kPa), SWP 2 (-30 kPa), SWP 3 (-40 kPa), SWP 4 (-50 kPa) and SWP 5 (-60 kPa), in addition to the traditional practice of growing flooded rice (CF). Fluxes of methane (CH4) and nitrous oxide (N2O) during the growing period were measured using manual closed chamber-gas chromatograph and the carbon dioxide (CO2) flux was measured using an infrared CO2 analyzer. A significant decrease in seasonal cumulative CH4 emission (30–60.2%) was recorded at different SWPs as compared to CF. In contrast, emission of CO2 and N2O increased by 12.9–26.6% and 16.3–22.1% respectively at SWPs 1 and 2; conversely, a significant decrease in emissions of these gases were observed at higher SWPs (SWPs 3–5). Among different SWP treatments, irrigation scheduling at SWP 2 maintained yield at par with CF with water saving of 32.9–41.1% and reduced CH4 emission (43–44.1%). However, due to increase in CO2 and N2O emission at SWP 2, there was no significant reduction in global warming potential (GWP) as compared with CF. Among different rice growth stages GHGs emission were predominant during vegetative growth stage. Regression relationship of GHGs emission with key soil parameters was employed to predict seasonal emissions of GHGs from paddy field. The results of this study suggest that scheduling irrigation at SWP 2 can be an effective strategy in order to save water, maintain rice yield and mitigate CH4 emission from direct seeded paddy fields in eastern India, however further research is needed to identify suitable management strategy for reducing CO2 and N2O emissions at SWP 2 in order to reduce the GWP.
4 Mohanty, S.; Mohanty, R. K.; Mandal, K. G.; Ghosh, S.; Rautaray, S. K.; Kumar, A. 2016. Impact of water resources development and technology introductions on livelihood of farmers in eastern India: a case study. Irrigation and Drainage, 65(5):724-733. [doi: https://doi.org/10.1002/ird.2014]
Water resources development ; Farmers ; Living standards ; Integrated management ; Farming systems ; Highlands ; Cultivation ; Agricultural production ; Ponds ; Technology transfer ; Water use ; Multiple use ; Impact assessment ; Diversification ; Aquaculture ; Performance evaluation ; Economic analysis ; Models ; Rural areas ; Case studies / eastern India / Odisha / Dhenkanal
(Location: IWMI HQ Call no: e-copy only Record No: H047898)
(2.62 MB)
Agricultural technology introductions were carried out and their impact was studied in two clusters of villages in the Dhenkanal Sadar and Odapada blocks of Dhenkanal District in Odisha in the eastern Indian plateau region. Ten water-harvesting structures (WHSs) were constructed in two clusters of villages in the farmers’ fields on a participatory basis. Harvested water in WHSs was used for multiple purposes, viz. agriculture, fish culture, on-dyke horticulture, vegetable cultivation, poultry, dairy and mushroom cultivation; integrated farming system (IFS) models were developed. Adequate training was also given to the farmers. The net income from the integrated farming systems varied widely between Rs. 16 100 and 251 000 ha 1 . Poultry farming in the uplands and intensive cultivation around the embankments of the ponds were found to be effective in increasing the net return from the IFS models. Impact analysis of the water resources development and technology introductions at the study sites was carried out by analysing the comparative position of physical, social, financial, human and natural assets of the farmers before and after adoption of the introductions. The overall standard of living of the study farmers increased from 13.5 to 17.1 on a scale of 5 to 25, respectively.
5 Halder, D.; Panda, R. K.; Srivastava, R. K.; Kheroar, S.; Singh, S. P. 2016. Stochastic analysis of rainfall and its application in appropriate planning and management for Eastern India agriculture. Water Policy, 18:1155-1173.
Agricultural planning ; Stochastic processes ; Rain ; Water resources ; Water management ; Rainwater ; Water harvesting ; Monsoon climate ; Supplemental irrigation ; Dry spells ; Crop management / eastern India
(Location: IWMI HQ Call no: e-copy only Record No: H047932)
Rainfall analysis is essential for agricultural crop planning and water resources management, especially under water scarcity conditions. The 36 years (1977–2013) of rainfall data for Kharagpur were analyzed for characterization of different seasonal events. The Weibull's formula predicted the probability of mean onset on 23rd standard meteorological weeks (SMW) (3rd–9th June) and withdrawal on 43rd SMW (21st–27th October). There was 80–83% probability of a wet week [P(W)] occurring within 25th–35th SMW. The first order Markov chain process shows the conditional probability of one wet week preceded by another wet week [P(W/W)] varied between 0 and 86%; whereas, dry week preceded by another dry week [P(D/D)] varied in the range of 70 to 100%. The stochastic analysis of successive wet or dry weeks formulates the adaptation strategies to avoid the possible effect of wet or dry spell during cropping seasons. The wet spell analysis suggests rainwater harvesting to control soil erosion and maximization of water use efficiency. The probability of getting consecutive wet [P(W/W)] and dry days [P(D/D)] were varied in the range of 40%–70% and 50%–90%, respectively. The probability of getting different magnitude of rainfall (10 to 40 mm) during the monsoon weeks (25th–39th week) were found to be more than 50% probability level, which suggest for harvesting of excess runoff water for future supplemental irrigation.
Powered by DB/Text WebPublisher, from
