LEE. S.H., DONG. A.H., KANG. J.E. (2023). Development of fine dust policy optimization model using system dynamics. IAIA23 Annual Conferences (2023. 05. 08. - 2023. 05. 11.)
<Abstract>
Fine dust remains a representative air pollution problem factor from the past to the present. In addition, fine dust has a negative effect on human health beyond simple environmental pollutants, especially with environmental diseases such as respiratory and circulatory diseases. fine dust has complex causal relationships and change over time, so a quantitative model that can consider dynamics is needed to measure policy effects. This study aims to present the direction of establishing a fine dust reduction policy in Korea through the establishment of an optimized model for predicting the effect of the fine dust policy. As a result of the study, the long-term effect of the policy could be confirmed as a model considering the passage of time by observing the predicted value of the simulation, and the effect of the fine dust reduction policy could be observed in various sectors. In particular, policy implications can be confirmed in that it presents a complex strategic framework through the linkage of Korean environmental policy and health policy by confirming that it affects the reduction of the mortality rate of circulatory diseases.
사사 : 환경보건감시체계, 기후변화특성화대학원