TY  - EJOU
AU  - Amaziane, B.  
AU  - Naji, A.  
AU  - Ouazar, D.  
AU  - Cheng, A. H.-D.  

TI  - Chance-Constrained Optimization of Pumping in Coastal Aquifers by Stochastic Boundary Element Method and Genetic Algorithm
T2  - Computers, Materials \& Continua

PY  - 2005
VL  - 2
IS  - 2
SN  - 1546-2226

AB  - In this paper the optimization of groundwater pumping in coastal aquifers under the threat of saltwater intrusion is investigated. The aquifer is inhomogeneous and contains several hydraulic conductivities zones. The aquifer data such as the hydraulic conductivities are uncertain, but with their expected mean and standard deviation values given. A stochastic boundary element method based on the perturbation technique is employed as the simulation tool. The stochastic optimization is handled by the chance-constrained programming. Genetic algorithm is selected as the optimization tool. Numerical examples of deterministic and stochastic problems are provided to demonstrate the feasibility of the proposed schemes.
KW  - Saltwater intrusion
KW  -  optimization
KW  -  uncertainty modeling
KW  -  boundary element method
KW  -  stochastic boundary element method
KW  -  genetic algorithm
KW  -  chance-constrained programming

DO  - 10.3970/cmc.2005.002.085