Information effect on remediation design of contaminated aquifers using the pump and treat method |
| |
| Authors: | Nak-Youl Ko Kang-Kun Lee |
| |
| Institution: | (1) School of Earth and Environmental Sciences, Seoul National University, Seoul, 151-742, South Korea |
| |
| Abstract: | We examine the effect of uncertainty due to limited information on the remediation design of a contaminated aquifer using
the pump and treat method. The hydraulic conductivity and contaminant concentration distributions for a fictitious contaminated
aquifer are generated assuming a limited number of sampling locations. Stochastic optimization with multiple realizations
is used to account for aquifer uncertainty. The optimization process involves a genetic algorithm (GA). As the number of realizations
increases, a greater extraction rate and more wells are needed. There was a total cost increase, but the optimal remediation
designs became more reliable. Stochastic optimization analysis also determines the locations for extraction wells, the variation
in extraction rates as a function of the change of well locations, and the reliability of the optimal designs. The number
of realizations (stack number) that caused the design factors to converge could be determined. Effective stochastic optimization
may be achieved by reducing computational resources. An increase in the variability of the conductivity distribution requires
more extraction wells. Information about potential extraction wells can be used to prevent failure of the remediation task. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
