통합환경관리제도 운영을 위한 대기오염물질 배출영향분석에 관한 연구

• Published in: 환경분석과 독성보건 Vol. 23; no. 4; pp. 240 - 247
• Main Authors: 석희정, Hee-jeong Seok, 간종범, Jong-beom Kahn, 김영란, Young-lan Kim, 서진원, Jin-won Seo, 홍석영, Suk-young Hong, 김효정, Hyo-jung Kim
• Format: Journal Article
• Language: Korean
• Published: 한국환경분석학회 31.12.2020
• Subjects: Air pollutants; Air quality prediction model; Discharge Impact Analysis; Integrated environmental management system; Permit emission standards; 화학
• ISSN: 2672-0175; 2672-1139
• DOI: 10.36278/jeaht.23.4.240

Unlike water quality, air quality is difficult to assess since pollutants are discharged and diffused via various paths. For this reason, when establishing an air management policy, complex modeling is performed to predict future environmental changes. To accurately predict air quality and suggest an appropriate pollutant management policy, the number of pollutants generated by each emission source and the number of pollutant emissions is calculated herein, and the contribution of pollutants by emission source is determined. In this respect, atmospheric modeling is being used as an important tool. However, because this modeling technique represents the problematic pollutant, it is most important to ensure the reliability of the input data to derive an accurate modeling result. In 2017, an integrated environmental management system was introduced in which the management of discharge facilities, which were applied for each medium (water quality, air, waste, etc.), was integrated and managed at the plant level. In addition, through the emission impact analysis, it is now possible to establish customized permit emission limits for each plant site by considering the effect on the surroundings and set up receptor for quantifying the concentration of additional pollutants in the emission facility. The purpose of this study is to compare domestic and foreign air pollutant emission impact analysis methods and air quality prediction models to propose development directions for future air pollutant emission impact analysis KCI Citation Count: 0