AWWA ACE61876

This study proposes a groundwater management model that can determinethe optimal network and pumping rates of the pumping wells by simultaneously consideringfixed and operating costs.The proposed model involves a novel hybrid algorithm that combines the GeneticAlgorithm (GA) and Constrained Differential Dynamic Programming (CDDP), a type of optimal control theorem. The main part of the hybrid algorithm is the GA, in which eachchromosome represents a potential network design of the pumping wells. The CDDP is usedto compute the optimal pumping rates and operating costs associated with each pumpingnetwork. A two dimensional finite element model is embedded in the CDDP to simulate thegroundwater flow. Hypothetical cases are considered to demonstrate the computationalcapability. The results of the simulation reveal that the proposed algorithm can solve thecomplex problem using affordable computation resources. Comparing the managementstrategy obtained by the proposed algorithm with that computed using an algorithm whichconsiders only the operating cost indicates that the proposed algorithm significantly reducesthe costs of implementing management strategy. Accordingly, the proposed model can beused to obtain a cost-effective strategy, including network design and pumping policy,for managing a groundwater system. Includes 31 references, tables, figures.

Product Details

Edition:

Vol. - No.

Published:

06/17/2005

Number of Pages:

18

File Size:

1 file , 470 KB