The concentrations of odor and volatile organic compound (VOC)-inducing substances were measured using selected ion flow tube mass spectrometers (SIFT-MS). SIFT-MS can continuously measure the concentration of odor-causing substances and VOCs in real time without pre-treatment steps. Measurements were conducted during the day and at night at 10 spots in the chemical block of the Sihwa industrial complex. Similar measurement results were observed in the daytime and nighttime for materials except methyl ethyl ketone with high concentrations. A high concentration of hydrogen sulfide was also measured at night. It is expected that an amount of emissions of VOCs and odor-causing substances under the absence of inspection can be traced if measured at other industrial complexes in vulnerable times.

The buffer green space of Sihwa industrial complex is located on the boundary of residential areas and industrial areas, and this regions have been the ability to mitigate environmental impact of noise, vibration, atmospheric. In this area, the survey of vegetation and bird was conducted to understand the biology structures and function of buffer green space from biology habitats and natural recovery for ecology restoration. The survey was performed four times according to the season. As a result, vegetation were distributed to the most widely Pinus thunbergii community (72.2%) in the whole survey area (approximately 0.32 km2), and grasslands (6.6%), Amorpha fruticosa community (4.1%), Koelreuteria paniculata community (4.0%), Acer buergerianum community (3.9%) in the order of distribution. The characteristics of vegetation distribution were mainly planted Pinus thunbergii in outlying areas, and Koelreuteria paniculata, Acer buergerianum, Sophora japonica, Quercus acutissima were planted in the middle areas. The birds observed in this area were a total of 37 species, 912 individuals, the species of legal protection were observed Falco tinnunculus 1 individuals. The most of birds observed in this area were the resident that can be observed easily in the park and greenland surrounding urban. The waterfowl almost were not observed because of lacking water space. Thus, as providing safe habitats and movement passageway of wildlife, the connection of ecological green areas will be strengthened.

This study tried to survey air quality inside and outside the schools where are located in about 5km of industrial complex targeting aldehyde, PM10, PM2.5. Also, the aim was also to examine both a change in indoor air after 3 years and within 3 years of addition and improvement, and a change according to season. It collected specimens at totally 20 places. Aldehyde was analyzed through HPLC. PM10 and PM2.5 were measured by using Met One 831. Formaldehyde and Acetaldehyde were detected with 42.1 μg/m3 and 5.7 μg/m3 at the school where is located inside 5km of the industrial complex, and were detected with 55.0 μg/m3 and 6.8 μg/m3 at the school where is located outside 5 km. This could be confirmed to have been detected more highly in the indoor air than the outdoor air regardless of the distance from the industrial complex. Most substances were indicated to be higher by about 150% in the indoor air within 3 years than the indoor air following 3 years of addition and improvement. However, PM10 and PM2.5 were measured with 32.6 μg/m3 and 14.9 μg/m3 after 3 years and were gauged with 22.4 μg/m3 and 14.2 μg/m3 within 3 years. Seeing a seasonal change, Formaldehyde and Propionaldehyde were detected with 5.5 μg/m3 and 1.0 μg/m3 in spring, 7.7 μg/m3 and 1.6 μg/m3 in summer, and 8.3 μg/m3 and 1.9 μg/m3 in autumn. This could be confirmed the tendency of growing according to season.

This study was conducted to induce the effective counterplan of odor management in the Sihwa industrial complex(SIC) utilizing to CALPUFF model with sensory odor. The CALPUFF model was applied to simulate a sensory odor, and was evaluated for odor applicability and the distribution status of odor in SIC was predicted. The simulated concentration showed lower than observed concentration but the prediction of odor was so excellent. The simulation result of CALPUFF model for SIC showed that annual mean odor unit was 5∼7 OU/㎥ (min. 3 OU/㎥, max. 25 OU/㎥). The annual mean odor unit in residential area was not high as 1∼3 OU/㎥ but was predicted to be affected by the weather status in the industrial complex. The odor emission sources of high concentration were distributed in the seashore. Therefore the management of the high concentration sources will be further demanded.