Elevation Dependent Management of the Edwards Aquifer: Linked Mathematical and Dynamic Programming Approach
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This study addresses the dynamic issue of optimum pumping and optimum target ending aquifer elevation. A stochastic dynamic programming (DP) approach is used to address this optimal elevation question. The analytical approach relies on the generation of stochastic state transition information from a stochastic nonlinear, static programming model of the aquifer. Methodologically, the model linkage allowed us to handle a large number of potential state variables by collapsing them into a simple ending elevation state variable in the DP. © 2006 ASCE.
author list (cited authors)
Chen, C., McCarl, B. A., & Williams, R. L.