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Planning and management of a complex water resource system: case of Samanalawewa and Udawalawe reservoirs in the Walawe river,Sri Lanka
Institution:1. Department of Civil Engineering, University of Peradeniya, Peradeniya, Sri Lanka;2. International Water Management Institute, P.O. Box 2075, Colombo, Sri Lanka;1. Texas A&M University and Texas Christian University, USA;2. University of Nebraska at Lincoln, USA;3. The University of Texas at San Antonio, USA;1. North Carolina State University, Campus Box 7908, Raleigh, NC 27695, United States;2. Infrastructure and Geophysical Division, U.S. Department of Homeland Security, Washington, DC, United States;1. Faculty of Science and Engineering, University of Waikato, Private Bag 3105, Hamilton 3240, New Zealand;2. Key Lab of Water Cycle & Related Land Surface Processes, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;1. Consiglio Nazionale delle Ricerche, IBAF, Area di Ricerca Via Salaria km. 29.3, 00015 Montelibretti, Roma, Italy;2. Dipartimento di Scienze della Terra, dell’Ambiente e della Vita (DISTAV), Università di Genova, Corso Europa 26, 16132 Genova, Italy;3. Corpo Forestale dello Stato – Coordinamento Territoriale per l’Ambiente per il Parco Nazionale delle Cinque Terre, Via Fegina, 34 bis, 19016 Monterosso al Mare, SP, Italy;1. Agricultural Engineering Department, Federal University of Lavras, Campus, Cx 3037, CEP 37200-000 Lavras, Minas Gerais, Brazil;2. Institute of Weather Sciences, Federal University of Alagoas, Campus A. C. Simões, BR 104 Norte, Tabuleiro do Martins, CEP 57072-970 Maceió, Alagoas, Brazil;3. Department of Sanitary and Environmental Engineering, Federal University of Mato Grosso, CEP 78060-900 Cuiabá, Mato Grosso, Brazil;4. Department of Exact Sciences, Federal University of Lavras, Campus, Cx 3037, CEP 37200-000 Lavras, Minas Gerais, Brazil;5. Department of Economy and Administration, Federal University of Lavras, Campus, Cx 3037, CEP 37200-000 Lavras, Minas Gerais, Brazil
Abstract:The Samanalawewa and Udawalawe reservoirs were built to harness the hydro-energy and irrigation potentials of the Walawe river in Sri Lanka. The recently completed Samanalawewa reservoir primarily generates hydropower while the Udawalawe reservoir, which was built in the 1960s, supplies water mainly for irrigation. With the addition of the Samanalawewa reservoir, located upstream of the Udawalawe reservoir, the Government of Sri Lanka is planning to increase the irrigated area of the Udawalawe reservoir. The Samanalawewa reservoir is expected to act as an additional storage for irrigation water supply. A study was carried out to investigate the operational behavior of these two reservoirs. The model used in the study is based on stochastic dynamic programming (SDP) and simulation techniques. Since, the direct application of SDP for two reservoirs is limited by the dimensionality of the problem, a sequential decomposition method is employed in the model. The algorithm employed breaks down the system into single-reservoir subsystems and subsequently, each subsystem’s operation is individually optimized using a SDP based optimization model and then simulated using a reservoir operation simulation model. The results indicate the usefulness of optimization techniques in planning reservoirs and deriving operational policies for them. The inclusion of the Samanalawewa reservoir reduces the irrigation water supply deficits at the Udawalawe reservoir.
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