Prediction Of Concentration Changes Of Trichloroethylene In Contaminated Groundwater Based On Multivariate Analysis
Free (open access)
T. Oiwa1, X. Wang, K. Yasuhara & T. Yokoyama
Our numerical simulation based on multivariate analysis was carried out in a two-dimensional system for prediction using a simple analysis method in comparison with a three-dimensional numerical simulation. This simulation code is based on the mass transfer equation containing the adsorption-desorption potential term caused by the difference between equivalent adsorption quantity and actual adsorption quantity. The accuracy of this simulation code was confirmed from the experimental results. Our numerical simulation is targeted for the prediction of groundwater contamination of Higashine, Yamagata, Japan. In this city, groundwater contamination by trichloroethylene (TCE) was confirmed in a 3 2 km area 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. 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 wells’ strainers exist on the same two-dimensional domain, we have carried out 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. Keywords: groundwater, trichloroethylene, multivariate analysis, cluster analysis, numerical simulation, mass transfer, adsorption, desorption.
groundwater, trichloroethylene, multivariate analysis, cluster analysis, numerical simulation, mass transfer, adsorption, desorption.