Your search found 5 records
1 Panigrahi, B.; Nayak, A. K.; Sharma, S. D. 1995. Application of remote sensing technology for groundwater potential evaluation. Water Resources Management, 9(3):161-173.
Groundwater potential ; Drainage ; Remote sensing ; Satellite surveys ; Land use ; Maps ; Geomorphology ; Aquifers / India / Orissa
(Location: IWMI-HQ Call no: PER Record No: H017385)
2 Bhaskar, N. R.; Parida, B. P.; Nayak, A. K.. 1997. Flood estimation for ungauged catchments using the GIUH. Journal of Water Resources Planning and Management, 123(4):228-238.
Flood control ; Estimation ; Catchment areas ; Rainfall-runoff relationships ; Hydrology ; Velocity ; Mathematical models
(Location: IWMI-HQ Call no: PER Record No: H020791)
3 Singh, R. K.; Redona, E.; Gregorio, G. B.; Salam, M. A.; Islam, M. R.; Singh, D. P.; Sen, P.; Saha, S.; Mahata, K. R.; Sharma, S. G.; Pandey, M. P.; Sajise, A. G.; Mendoza, R. D.; Toledo, M. C.; Dante, A.; Ismail, A. M.; Paris, T. R.; Haefele, S. M.; Thomson, M. J.; Zolvinski, S.; Singh, Y. P.; Nayak, A. K.; Singh, R. B.; Mishra, V. K.; Sharma, D. K.; Gautam, R. K.; Ram, P. C.; Singh, P. N.; Verma, O. P.; Singh, A.; Lang, N. T. 2010. The right rice in the right place: systematic exchange and farmer-based evaluation of rice germplasm for salt-affected areas. In Hoanh, Chu Thai; Szuster, B. W.; Kam, S. P.; Ismail, A. M; Noble, Andrew D. (Eds.). Tropical deltas and coastal zones: food production, communities and environment at the land-water interface. Wallingford, UK: CABI; Colombo, Sri Lanka: International Water Management Institute (IWMI); Penang, Malaysia: WorldFish Center; Los Banos, Philippines: International Rice Research Institute (IRRI); Bangkok, Thailand: FAO Regional Office for Asia and the Pacific; Colombo, Sri Lanka: CGIAR Challenge Program on Water and Food (CPWF). pp.166-182.
(Location: IWMI HQ Call no: IWMI 551.457 G000 HOA Record No: H043056)
(5.08 MB)
4 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.
5 Arenas-Calle, L.; Sherpa, S.; Rossiter, D.; Nayak, H.; Urfels, A.; Kritee, K.; Poonia, S.; Singh, D. K.; Choudhary, A.; Dubey, R.; Kumar, V.; Nayak, A. K.; McDonald, A. 2024. Hydrologic variability governs GHG emissions in rice-based cropping systems of Eastern India. Agricultural Water Management, 301:108931. [doi: https://doi.org/10.1016/j.agwat.2024.108931]
(Location: IWMI HQ Call no: e-copy only Record No: H052967)
https://www.sciencedirect.com/science/article/pii/S037837742400266X/pdfft?md5=8a233dc1c188695046868d3b13fb208d&pid=1-s2.0-S037837742400266X-main.pdf
https://vlibrary.iwmi.org/pdf/H052967.pdf
https://vlibrary.iwmi.org/pdf/H052967.pdf
(5.84 MB) (5.84 MB)
Reducing methane (CH4) emissions is increasingly recognized as an urgent greenhouse gas mitigation priority for avoiding ecosystem ‘tipping points’ that will accelerate global warming. Agricultural systems, namely ruminant livestock and rice cultivation are dominant sources of CH4 emissions. Efforts to reduce methane from rice typically focus on water management strategies that implicitly assume that irrigated rice systems are consistently flooded and that farmers exert a high level of control over the field water balance. In India most rice is cultivated during the monsoon season and hydrologic variability is common, particularly in the Eastern Gangetic Plains (EGP) where high but variable rainfall, shallow groundwater, and subtle differences in topography interact to create complex mosaics of field water conditions. Here, we characterize the hydrologic variability of monsoon season rice fields (n = 207) in the Indian EGP (‘Eastern India’) across two contrasting climate years (2021, 2022) and use the Denitrification Decomposition (DNDC) model to estimate GHG emissions for the observed hydrologic conditions. Five distinct clusters of field hydrology patterns were evident in each year, but cluster characteristics were not stable across years. In 2021, average GHG emissions (8.14 mt CO2-eq ha-1) were twice as high as in 2022 (3.81 mt CO2-eq ha-1). Importantly, intra-annual variability between fields was also high, underlining the need to characterize representative emission distributions across the landscape and across seasons to appropriately target GHG mitigation strategies and generate accurate baseline values. Simulation results were also analyzed to identify main drivers of emissions, with readily identified factors such as flooding period and hydrologic interactions with crop residues and nitrogen management practices emerging as important. These insights provide a foundation for understanding landscape variability in GHG emissions from rice in Eastern India and suggest priorities for mitigation that honor the hydrologic complexity of the region.
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