具分歧型式生物降解反應路徑的含氯溶劑地下水污染物 多維度傳輸預測模擬軟體開發(2/2)

Chlorinated ethenes are significant groundwater contaminants. Underanaerobic conditions, chloroethenes are subject to reductive dechlorination resultingin the stepwise conversion of PCE to TCE, DCE isomers (1,1 DCE, cis 1,2 DCEand trans 1,2 DCE), VC, and ethane. Multi species transport analytical model is acost effective tool for simultaneous determination of the transport behavior of parentand daughter species of dissolved ethenes at chlorinated solvent groundwatercontaminated site. Although several multi species transport analytical model havealready been reported in the literature, those currently available have primarily beenderived based on the coupled advection dispersion e quations with a straight chainbiodegradation reaction pathway The multispecies transport analytical model with astraight chain biodegradation reaction pathway cannot account for the transportbehaviors of individual DCE isomers. In this t wo year industry academy cooperationproject, we collaborate with the Sinotech Environmental Techonology, Ltd. to developa multi species transport analytical model with a branching biodegradation reactionpathway for the purpose of accurately and simultaneously predictin g themulti dimensional contaminant transport behaviors of PCE, TCE, three DCE isomers,VC and ETH at chlorinated solvent contaminated site. In the first year, atwo dimensional transport analytical model will be developed and the accuracy of itscorrespon ding FORTRAN computer code will be assured elaborately. In the secondyear, we will extend the achievement of the first year to develop thethree dimensional transport analytical model and assure the performance of itsFORTRAN computer code. A modeling sof tware for predicting the multi dimensionalcontaminant transport at a chlorinated solvent contaminated site with a branchingbiodegradation reaction pathway will be systematically constructed by integrating theachievements of the two years years, providing some application examples, and evaluating the performance of previous three-dimensional analytical models.