HR: 1340h
AN: H53A-1231    [Abstracts]
TI: Optimal Remediation Design considering Effects of Degradation Processes: Pumping Strategy with Enhanced Natural Attenuation
AU: * Park, D K
EM: ecolede1@snu.ac.kr
AF: Seoul National University, School of Earth and Environmental Sciences, Seoul, 151-747 Korea, Republic of
AU: Lee, K
EM: kklee@snu.ac.kr
AF: Seoul National University, School of Earth and Environmental Sciences, Seoul, 151-747 Korea, Republic of
AB: The optimal remediation design using the pump and treat (P&T) method is accomplished in consideration of degradation processes such as sorption and biodegradation. In order to investigate the effect of sorption and biodegradation on the pump and treat strategy, optimal remediation designs are numerically evaluated for various degradation process conditions. Remediation designs are optimized against the pumping rates as well as the location and number of wells. When sorption effect increases, the pumping rate and the number of pumping wells increase. The location of operated wells is on the centerline of contaminant plume. In addition, wells near hot spot make significant influences on the optimal design when sorption effect increases. In this study, biodegradation is considered as a first-order decay reaction. The higher first-order decay rate, the less pumping volume is required. As a result, degradation processes can be one of the essential factors for the optimal remediation design. For effective remediation, this study presents a new remediation strategy, so-called enhanced natural attenuation (ENA), which induces aerobic biodegradation by maintaining oxygen concentration. To investigate the performance of ENA with respect to both cost and contaminant removal, four scenarios under a specific sorption condition are considered; (1) only P&T (2.5yrs) (2) P&T (1.5yrs) and ENA (1yrs) (3) P&T (1.5yrs), ENA (0.5yrs) and NA (0.5yrs) (4) P&T (1.5yrs), two different ENA schemes (each 0.5yrs). The optimal design for each scenario is computed. Results show that the most cost-effective remediation design is the third scenario although first scenario removes the most amount of contaminant in the aquifer. Consequently, we conclude that application of ENA may be helpful to design cost-effective remediation.
DE: 1829 Groundwater hydrology
DE: 1831 Groundwater quality
DE: 1832 Groundwater transport
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting