Elevation dependent management of the Edwards aquifer: Linked mathematical and dynamic programming approach
Overview
Research
Identity
Additional Document Info
Other
View All
Overview
abstract
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.