000108178 001__ 108178
000108178 005__ 20180122215329.0
000108178 037__ $$a1849-2016-152527
000108178 041__ $$aen
000108178 245__ $$aIntegrated Reservoir Management under Stochastic Conditions
000108178 260__ $$c2011
000108178 269__ $$a2011
000108178 270__ $$mdeepayan.debnath@okstate.edu$$pDebnath,   Debnath
000108178 270__ $$mart.stoecker@okstate.edu$$pStoecker,   Art
000108178 270__ $$mtracy.boyer@okstate.edu$$pBoyer,   Tracy
000108178 270__ $$mlarry.sanders@okstate.edu$$pSanders,   Larry
000108178 300__ $$a41
000108178 336__ $$aConference Paper/ Presentation
000108178 390__ $$aWater Management and Planning
000108178 500__ $$aWater Management and Planning
000108178 520__ $$aThis study is primarily concerned with the planning and management of a multipurpose
reservoir. An economic optimization model using non-linear programming is developed and
solved using Risk Solver to maximize the net economic benefits derived from different use of reservoir water under uncertainties. Marketed: urban and rural water supply and hydropower generation and non-marketed: lake recreation uses are considered directly in the maximization problem while flood control and downstream releases are incorporated as constraints. Stochastic inflows to the reservoir are considered to be log normally distributed. Lake Tenkiller because of
its clear water and scenic beauty is chosen for this study. A mass balance equation is used to determine the level and volume of water in the lake for each period over the year 2010. Both the value of a visitor day and the number of visitor are the function of lake level which makes it completely unique. Results show that for Lake Tenkiller it is beneficial to maintain the lake level
at around 634 feet above mean sea level (famsl) until mid-August, and then start drawing down for hydropower generation. A sensitive analysis is also performed with different values of visitor day and peak electricity prices. However, the results remain the same for all different scenarios
making the model completely robust and the solution also satisfies the equi-marginal principle.
000108178 542__ $$fLicense granted by deepayan debnath (deepayan.debnath@okstate.edu) on 2011-06-28T18:36:20Z (GMT):

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000108178 650__ $$aEnvironmental Economics and Policy
000108178 650__ $$aInternational Development
000108178 650__ $$aLand Economics/Use
000108178 650__ $$aProduction Economics
000108178 650__ $$aProductivity Analysis
000108178 650__ $$aPublic Economics
000108178 650__ $$aResource /Energy Economics and Policy
000108178 650__ $$aRisk and Uncertainty
000108178 6531_ $$aEconomic optimization
000108178 6531_ $$aLake levels
000108178 6531_ $$aMarketed and non-marketed water uses
000108178 6531_ $$aNon-linear programming
000108178 6531_ $$aRecreational benefits
000108178 6531_ $$aReservoir management
000108178 6531_ $$aStochastic inflows
000108178 6531_ $$aValue of a visitor day
000108178 700__ $$aDebnath, Deepayan
000108178 700__ $$aStoecker, Arthur L.
000108178 700__ $$aBoyer, Tracy A.
000108178 700__ $$aSanders, Larry D.
000108178 8564_ $$s751787$$uhttp://ageconsearch.umn.edu/record/108178/files/IntegratedReservoirManagementUnderStochasticConditions-1.pdf
000108178 887__ $$ahttp://purl.umn.edu/108178
000108178 909CO $$ooai:ageconsearch.umn.edu:108178$$pGLOBAL_SET
000108178 912__ $$nSubmitted by deepayan debnath (deepayan.debnath@okstate.edu) on 2011-06-28T19:01:15Z
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  Previous issue date: 2011
000108178 982__ $$gWestern Agricultural Economics Association>2011 Annual  Meeting, June 29-July 1, 2011, Banff, Alberta, Canada
000108178 980__ $$a1849