In this work, an attempt is made to understand the actual conditions of malodor occurrence for industrial complex area and to settle trouble for a odor complaint. Odor emission sources were sorted into point source and area source group. The odor concentration unit (o.u/㎥) of each major odor emitting industry was actualized by the indirect olfactory method including air dilution sensory test method in Korea and triangle odor bag method in Japanese. As the results, Night-soil disposal plant were measured by the highest of 2,097,992.6 o.u/㎥, and wastewater incinerator plant was analyzed by 315,022.5 o.u/㎥, and food company was analyzed by 210,864 0.u/㎥, and paper products plant was detected by 195,525 o.u/㎥ and chemical product was detected by 13,761.6 o.u/㎥. To evaluate how well the evaluation result of odor made by induced odor concentration (o.u/㎥) can explain the actual odor phenomenon, it was used as the input data of air pollutant diffusion model (ISCST 3) to set model operation time as one hour in consideration of the characteristics odor varying with weather condition at any time. It was confirmed that 2.0 degree of odor intensity could be detected at the neighboring area of industry complex area and 1.7 degree of odor intensity could be detected at the neighboring domestic area. Accordingly, the evaluation result by induced odor concentration (o.u/㎥) could precisely explain the current status of the field with odor problem and sufficiently be used as inputting data for air pollutant diffusion model.

The air pollutant emission is mainly caused by line sources in urban area. For example, the annually totaled air pollutant emission is known to consist of about 80% of line sources in Daegu. Hence, the appropriate assessment on the air pollutants of line sources is very important for the atmospheric environmental management in urban area. In this study, we made a comparative study to evaluate suitable dispersion model for estimating the air pollution from line sources. Two air pollution dispersion models, ISCST3 and CALINE4 were the subject of this study. The results were as follows; In the assessment of air pollution model, ISCST3 was found to have 4 times higher concentration than CALINE4. In addition, actual data obtained by measurement and estimated values by CALINE4 were generally identical. The air pollution assessment based on ISC3 model produced significantly lower values than actual data. The air pollution levels estimated by ISCST3 were very low in comparison with the observational values.

We will calculate concentration of air pollutants using ISCST3, FDM and AERMOD of models recommended in U. S. EPA which are able to predict concentration of short term for point source, complex like industrial complex, power plant and burn-up institution. Before executing model, as analyzing computational result of many cases according to selecting of input data, we will increasing predictable ability of model in limit range of model. Especially, we analyzed three cases - case of considering various emission rate according to time scale and not, case considering effect of atmospheric pollution materials removed by physical process. In our study, after comparing and analyzing results of three model, we choose the atmospheric dispersion model reflected well the characteristic of the area. And we will investigate how large the complex pollutant sources such as industrial complex contribute to atmospheric environment and air quality of the surrounding the area as predicting and estimating chosen model.