| contributor author | Chi-Chung Chen | |
| contributor author | Bruce A. McCarl | |
| contributor author | R. Lynn Williams | |
| date accessioned | 2017-05-08T21:08:08Z | |
| date available | 2017-05-08T21:08:08Z | |
| date copyright | September 2006 | |
| date issued | 2006 | |
| identifier other | %28asce%290733-9496%282006%29132%3A5%28330%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/40026 | |
| description 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. | |
| publisher | American Society of Civil Engineers | |
| title | Elevation Dependent Management of the Edwards Aquifer: Linked Mathematical and Dynamic Programming Approach | |
| type | Journal Paper | |
| journal volume | 132 | |
| journal issue | 5 | |
| journal title | Journal of Water Resources Planning and Management | |
| identifier doi | 10.1061/(ASCE)0733-9496(2006)132:5(330) | |
| tree | Journal of Water Resources Planning and Management:;2006:;Volume ( 132 ):;issue: 005 | |
| contenttype | Fulltext | |