Prediction of groundwater contamination spreading is important for effective groundwater remediation. In this paper, the groundwater contamination mechanism was estimated by using multivariate analysis. A two-dimensional numerical simulation based on the multivariate analysis was performed for prediction. This is simpler, and less time consuming than a three-dimensional numerical simulation. This simulation code is based on the mass transfer equation incorporating the adsorption-desorption potential caused by the difference between equivalent adsorption quantity and actual adsorption quantity. The numerical simulation results agreed very well with adsorptiondesorption experimental results, which suggests that the simulation code is suitable for practical application.
Our numerical simulation is targeted for the prediction of groundwater contamination of Higashine City, Yamagata. In this city, groundwater contamination by trichloroethylene (TCE) was confirmed in a 3km
2area in 1992.
A water quality investigation was conducted at 51 wells in 1993. The main contaminated wells were classified according to cluster analysis, or multivariate analysis. Monitoring of TCE concentration is being continued on some of the main contaminated wells. Long term well monitoring shows that there are two hydrological systems, one in which TCE concentration is decreasing, while the other remains unchanged. Under the concept that the depth of these well's screens exist on the same two-dimensional domain, we have done two-dimensional simulations of the two hydrological systems. The simulation results correspond well with our monitoring results. The predictive capability of our combined cluster analysis and two-dimensional numerical simulation was confirmed and the simulation results show that the environment of this area is recovering.
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