Estimation of hydraulic parameters of confined aquifers by Genetic Algorithm optimization technique
| Category | Hydrogeology |
|---|---|
| Group | GSI.IR |
| Location | The 25 Symposium of Geosciences |
| Author | M.Kord-A.Asghari moghadam-V.Norani |
| Holding Date | 02 July 2007 |
Estimation of hydraulic parameters of confined aquifers by Genetic Algorithm optimization technique
Abstract :
Convenient development and optimized exploitation of the ground water resources depend on accurate estimation of aquifer hydraulic parameters. Different methods exist for estimation hydraulic parameters (S, T, ...) of aquifers. One of the classic methods for estimating these parameters is analyzing the pumping test data by graphical methods. Nowadays, probabilistic optimization methods i.e. simulated annealing and genetic algorithm (GA), based on evolution rules, are took into attentions due to their high abilities. In this article, the efficacy of the (GA) is assessed in estimating confined aquifer parameters. For this purpose, hydraulic parameters of confined aquifers are calculated by using (GA) and they are compared with results of graphical methods. The results indicate that intelligent GA technique is efficient, reliable and powerful method for estimation of confined aquifers hydraulic parameters.
Keywords: hydraulic parameters, pumping test, optimization, genetic algorithm.