[논문]충남지역 대형사업장의 대기오염물질 확산 특성 파악

최우영; 박민하; 정창훈; 김용표; 이지이

doi:10.11629/jpaar.2021.17.3.055

충남지역 대형사업장의 대기오염물질 확산 특성 파악
Characterization of Atmospheric Dispersion Pattern from Large Sources in Chungnam, Korea 원문보기

Particle and aerosol research = 한국입자에어로졸학회지, v.17 no.3, 2021년, pp.55 - 69

최우영 (이화여자대학교 환경공학과) , 박민하 (이화여자대학교 환경공학과) , 정창훈 (경인여자대학교 보건의료관리과) , 김용표 (이화여자대학교 화학신소재공학과 겸 시스템헬스융합전공) , 이지이 (이화여자대학교 환경공학과)

Abstract ▼ AI-Helper

Chungnam region accounts for the largest SOX (22.8%) emission with the second-largest NOX (10.8%) emission in Korea due to the integration of many large industrial sources including a steel mill, coal-fired power plants, and petrochemical complex. Air pollutants emitted by large industrial sources can cause harmful problems to humans and the environment. Thus, it is necessary to understand dispersion patterns of air pollutants from large industrial sources in Chungnam to characterize atmospheric contamination in Chungnam and the surrounding area. In this study, seasonal atmospheric dispersion characteristics for SOX, NOX, and PM2.5 from ten major point sources in Chungnam were evaluated using HYSPLIT 4 model, and their contributions to SO2, NO2 concentrations in the regions near the source areas were estimated. The predictions of the HYSPLIT 4 model show a seasonal different dispersion pattern, in which air pollutants were dispersed toward the southeast in winter while, northeast in summer. In summer, due to weaker wind speed, air pollutants concentrations were higher than in winter, and they were dispersed to the metropolitan area. The local emissions of air pollutants in Taean area had a greater influence on the ambient SO2 and NO2 concentrations at Taean, whereas SOX and NOX emissions from large sources located at Seosan showed relatevely little effect on the ambient ambient SO2 and NO2 concentrations at Seosan.

주제어

표/그림 (10)

표 Table 1. The SOx, NOx and PM2.5 annual emission rate for 10 point emission sources in Chungcheongnam-do in 2018.
그림 Figure 2. Wind rose of (a),(d) Taean, (b),(e) Dangjin, (c),(f) Boryeong in January and July 2009-2018.
그림 Figure 1. (a) The area where HYSPLIT dispersion modeling simulated and Taean Thermal Power Complex(marked as ●). (b) The locations of point sources marked as ,air pollution monitoring stations located in Taean (A, B), Seosan (C-E), Dangjin (F, G) and Boryeong (H, I) (marked as ) and weather monitoring stations located in Taean, Dangjin and Boryeong (marked as ).
그림 Figure 3. Dispersion patterns from variation of particle numbers. Numbers at the top left hand corner denote the number of particle used for the simulation.
표 Table 2. The parameters of HYSPLIT dispersion model used in this study.
표 Table 3. The latitude and longitude information for 10 point emission sources in Chungcheongnam-do.
그림 Figure 4. Dispersion patterns of (a) SOx, (b) NOx, (c) PM_2.5 emitted from large pointemission sources of air pollutant in Chungcheongnam-do in Winter. Wind Rose of (d) Taean, (e) Dangjin and (f) Boryeong during dispersion modeling period(24-30. Jan. 2018).
그림 Figure 5. Dispersion patterns of (a) SOx, (b) NOx, (c) PM_2.5 emitted from large point sources of air pollutant in Chungcheongnam-do in Summer. Wind Rose of (d) Taean, (e) Dangjin and (f) Boryeong during dispersion modeling period(12-18. Jul. 2018).
그림 Figure 6. Dispersion patterns of SOx, NOx, PM_2.5 emitted from large point sources of air pollutant in (a)(e)(i) Taean, (b)(f)(j) Dangjin, (c)(g)(k) Boryeong, (d)(h)(l) Seosan in Summer.
표 Table 4. Concentrations of SO₂ and NO₂ which were observed at air pollution monitoring stations and estimated by HYSPLIT 4 model with contribution degree at each station.

참고문헌 (20)

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