Your search found 4 records
1 Umamahesh, N. V.; Sreenivasulu, P. 1997. Two-phase stochastic dynamic programming model for optimal operation of irrigation reservoir. Water Resources Management, 11(5):395-406.
Reservoir operation ; Operating policies ; Irrigation water ; Simulation ; Water deficit ; Water allocation ; Soil moisture ; Stochastic process ; Yield response functions / India / Andhra Pradesh / Godavari River / Sri Rama Sagar Reservoir
(Location: IWMI-HQ Call no: PER Record No: H021539)
2 Umamahesh, N. V.; Chandramouli, S. 2004. Fuzzy dynamic programming model for optimal operation of a multipurpose reservoir. In Herath, S.; Pathirana, A.; Weerakoon, S. B. (Eds.). Proceedings of the International Conference on Sustainable Water Resources Management in the Changing Environment of the Monsoon Region. Bandaranaika Memorial International Conference Hall, Colombo, Sri Lanka, 17-19 November 2004. Vol.II. Colombo, Sri Lanka: National Water Resources Secretariat. pp.552-557.
(Location: IWMI-HQ Call no: 333.91 G000 HER Record No: H039543)
3 Malleswara Rao, B. N.; Umamahesh, N. V.. 2006. Morphometric analysis of ungauged basins using GIS. In Srinivasa Raju, K. (Ed.). Predictions in ungauged basins for sustainable water resources planning and management. New Delhi, India: Jain Brothers. pp.129-141.
River basins ; Watershed management ; Hydrology ; GIS / India / Andhra Pradesh / Warangal district / Gjanpur blok
(Location: IWMI HQ Call no: 333.9162 G635 SRI Record No: H041738)
4 Das, J.; Umamahesh, N. V.. 2016. Downscaling monsoon rainfall over River Godavari Basin under different climate-change scenarios. Water Resources Management, 30(15):5575-5587. [doi: https://doi.org/10.1007/s11269-016-1549-6]
Climate change ; Forecasting ; Monsoon climate ; Precipitation ; Rain ; Hydrology ; Models ; Regression analysis ; Statistical methods ; Evaluation ; River basins ; Spatial distribution / India / River Godavari Basin
(Location: IWMI HQ Call no: e-copy only Record No: H047987)
(1.87 MB)
Evaluating the impact of climate change at river basin level has become essential for proper management of the water resources. In the present study, Godavari River basin in India is taken as study area to project the monthly monsoon precipitation using statistical downscaling. The downscaling method used is a regression based downscaling termed as fuzzy clustering with multiple regression. Among the atmospheric variables simulated by global circulation/climate model (GCM) mean sea level pressure, specific humidity and 500 hPa geopotential height are used as predictors. 1o × 1o gridded rainfall data over Godavari river basin are collected from India Meteorological Department (IMD). A statistical relationship is established between the predictors and predictand (monsoon rainfall) to project the monsoon rainfall for the future using the Canadian Earth System Model (CanESM2) over IMD grid points under the Representative Concentration Pathways 2.6, 4.5 and 8.5 (RCP 2.6, 4.5, 8.5) scenarios of Fifth Coupled Model Inter-Comparison Project (CMIP 5). Downscaling procedure is applied to all 25 IMD grid points over the basin to find out the spatial distribution of monsoon rainfall for the future scenarios. For 2.6 and 4.5 scenarios results show an increasing trend. For scenario 8.5 rainfall showed a mixed trend with rainfall decreasing in the first thirty years of prediction and then increasing gradually over the next sixty years.
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