To analyze the effects of PM10 and PM2.5 on daily mortality cases, the relations of death counts from natural causes, respiratory diseases, and cardiovascular diseases with PM10 and PM2.5 concentrations were applied to the generalized additive model (GAM) in this study. From the coefficients of the GAM model, the excessive mortality risks due to an increase of 10 μg/m3 in daily mean PM10 and PM2.5 for each cause were calculated. The excessive risks of deaths from natural causes, respiratory diseases, and cardiovascular diseases were 0.64%, 1.69%, and 1.16%, respectively, owing to PM10 increase and 0.42%, 2.80%, and 0.91%, respectively, owing to PM2.5 increase. Our result showed that particulate matter posed a greater risk of death from respiratory diseases and is consistent with the cases in Europe and China. The regional distribution of excessive risk of death is 0.24%–0.81%, 0.34%–2.6%, and 0.62%–1.94% from natural causes, respiratory diseases, and cardiovascular diseases, respectively, owing to PM10 increase, and 0.14%–1.02%, 1.07%–3.92%, and 0.22%–1.73% from natural causes, respiratory diseases, and cardiovascular diseases, respectively, owing to PM2.5 increase. Our results represented a different aspect from the regional concentration distributions. Thus, we saw that the concentration distributions of air pollutants differ from the affected areas and identified the need for a policy to reduce damage rather than reduce concentrations.

Abstract
1. 서 론
2. 재료 및 방법
    2.1. 대기오염 및 기상 측정자료
    2.2. 일사망자수 자료
    2.3. 시계열분석
    2.4. 분석방법
3. 결과 및 고찰
    3.1. 사망자수 및 PM10, PM2.5 농도분포
    3.2. 기본모델의 구축
    3.3. PM10, PM2.5 영향모델 구축
    3.4. 지역별 초과사망률 분포
4. 결 론
REFERENCES

• 도우곤(부산광역시 보건환경연구원) | Woo-gon Do (Busan Metropolitan City Institute of Health and Environment)
• 정우식(인제대학교 대기환경정보공학과/대기환경정보연구센터) | Woo-sik Jung (Department of Atmospheric Environment Information Engineering/Atmospheric Environment Information Research Center, Inje University) Corresponding author