This study proposes a groundwater management model that can determine
the optimal network and pumping rates of the pumping wells by simultaneously considering
fixed and operating costs.
The proposed model involves a novel hybrid algorithm that combines the Genetic
Algorithm (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 each
chromosome represents a potential network design of the pumping wells. The CDDP is used
to compute the optimal pumping rates and operating costs associated with each pumping
network. A two dimensional finite element model is embedded in the CDDP to simulate the
groundwater flow. Hypothetical cases are considered to demonstrate the computational
capability. The results of the simulation reveal that the proposed algorithm can solve the
complex problem using affordable computation resources. Comparing the management
strategy obtained by the proposed algorithm with that computed using an algorithm which
considers only the operating cost indicates that the proposed algorithm significantly reduces
the costs of implementing management strategy. Accordingly, the proposed model can be
used to obtain a cost-effective strategy, including network design and pumping policy,
for managing a groundwater system.
Includes 31 references, tables, figures.
| Edition : | Vol. - No. |
| File Size : | 1
file
, 470 KB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 18 |
| Published : | 06/17/2005 |
