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Predictions by four atmospheric dispersion models such as TCM, ISCLT, Valley, and TEM were relatively compared in the Suwon City. Each dispersion model was seasonally modified with hourly TSP, SO_(2), NO_(2), and CO ground-level concentration data observed at two telemetered air monitoring sites operated by the Ministry of Environment. Prediction by each model was performed with the same input data prepared by intensive investigation of meteorological data as well as point, area, and line emission inventories in the target area. To present the paired comparison of each model, relative errors among four different models were calculated with reference statistics which were based on the predicted arithmetic means at a number of 48 different sites for each model. Since the main objective in this study was in the relative differences between models, it is impossible to quantitatively determine rank order for models. However, the results by four models show that the maximum relative errors in TSP, SO_(2), NO_(2), and CO concentration were 97.1%, 92.5%, 118.4%, and 49.7%, respectively.
In this study, we tested hybrid pilot system combined with soil vapor extraction and bioventing methods on the contaminated railroad soil. So, we found out the remediability and operating conditions. Air permeability(k) and gas phase(O$_2$/CO$_2$/VOCs) level trend are very important to determine the remediation rate of the contaminated sites. Throughout hybrid pilot test on different conditions, the range of air permeability(k) was 1985∼1194 darcy. The tests results in hybrid system was appropriate on this test sites, and the suitable injection air flow rate was 3.5㎥/hr. So, we suggested a basic data for the remediation and management of contaminated railroad soil.