• Journal of Environmental Impact Assessment
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• v.28 no.4
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• pp.413-426
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• 2019

Many factories indiscriminately located in the vicinity of residential areas need to be adjusted to quasi-industrial parks or new planning management area. In the present work, the changes of atmospheric $SO_2$ concentration according to clustering of individual location factories throughout Gimpo city into a new area were evaluated using a commercial dispersion model, AERMOD. As a result of the evaluation, it was suggested the possibility of improving the pollution through the relocation of individual factories. The combination of relocation and discharge regulation on the stack height may reduce the overall pollution from Gimpo approximately up to 70%, and some areas achieve maximum 87% decrease. However, the area selected as a cluster zone may show a relatively large increase compared to the change in the total pollution level of Gimpo.

• Journal of Preventive Medicine and Public Health
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• v.32 no.2
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• pp.177-182
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• 1999

Objectives: To reexamine the association between air pollution and daily mortality in Seoul, Korea using a method of meta-analysis with the data filed for 1991 through 1995. Methods: A separate Poisson regression analysis on each district within the metropolitan area of Seoul was conducted to regress daily death counts on levels of each ambient air pollutant, such as total suspended particulates (TSP), sulfur dioxide $(SO_2)$, and ozone $(O_3)$, controlling for variability in the weather condition. We calculated a weighted mean as a meta-analysis summary of the estimates and its standard error. Results: We found that the p value from each pollutant model to test the homogeneity assumption was small (p<0.01) because of the large disparity among district-specific estimates. Therefore, all results reported here were estimated from the random effect model. Using the weighted mean that we calculated, the mortality at a $100{\mu}g/m^3$ increment in a 3-day moving average of TSP levels was 1.034 (95% Cl 1.009-1.059). The mortality was estimated to increase 6% (95% Cl 3-10%) and 3% (95% Cl 0-6%) with each 50 ppb increase for 9-day moving average of SO2 and 1-hr maximum O3, respectively. Conclusions: Like most of air pollution epidemiologic studies, this meta-analysis cannot avoid fleeing from measurement misclassification since no personal measurement was taken. However, we can expect that a measurement bias be reduced in a district-specific estimate since a monitoring station is hefter representative cf air quality of the matched district. The similar results to those from the previous studios indicated existence of health effect of air pollution at current levels in many industrialized countries, including Korea.