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Analysis of the Association between Air Pollutant Distribution and Mobile Sources in Busan Using Spatial Analysis

공간 분석을 통한 부산광역시 대기오염물질의 분포와 이동오염원 간의 관련성 연구

  • Jae-Hee Min (Department of Preventive Medicine, College of Medicine, Dong-A University) ;
  • Byoung-Gwon Kim (Department of Preventive Medicine, College of Medicine, Dong-A University) ;
  • Hyunji Ju (Department of Preventive Medicine, College of Medicine, Dong-A University) ;
  • Na-Young Kim (Department of Preventive Medicine, College of Medicine, Dong-A University) ;
  • Yong-Sik Hwang (Silla Environmental Consulting Co., Ltd.) ;
  • Seungho Lee (Department of Preventive Medicine, College of Medicine, Dong-A University) ;
  • Young-Seoub Hong (Department of Preventive Medicine, College of Medicine, Dong-A University)
  • 민재희 (동아대학교 의과대학 예방의학교실) ;
  • 김병권 (동아대학교 의과대학 예방의학교실) ;
  • 주현지 (동아대학교 의과대학 예방의학교실) ;
  • 김나영 (동아대학교 의과대학 예방의학교실) ;
  • 황용식 (신라환경컨설팅(주)) ;
  • 이승호 (동아대학교 의과대학 예방의학교실) ;
  • 홍영습 (동아대학교 의과대학 예방의학교실)
  • Received : 2024.03.08
  • Accepted : 2024.06.17
  • Published : 2024.06.30

Abstract

Background: Busan is a rapidly industrializing city with many mixed residential and industrial areas. Fine dust emissions from mobile pollution sources such as ships and vehicles are particularly high in Busan. Objectives: This study analyzed the spatial distribution of air pollutants over the past three years and identified the impact of air pollutants through mobile source data in Busan. Methods: We obtained air pollutant data on fine particulate matter (PM10), ultrafine particulate matter (PM2.5), nitrogen dioxide (NO2), sulfurous acid gas (SO2), and ozone (O3) for the last three years (source: airkorea.or.kr) and analyzed the spatial distribution using SAS 9.4 and Surfer 23. For the mobile pollutant data, we used CCTV data from major intersections in Busan to identify truck and car traffic, and visualized traffic density with QGIS. Results: The analysis of the concentration of air pollutants over three years (2020~2022) showed that all were lower than the annual environmental standards with the exception of PM2.5. PM10 and PM2.5 were found to be highly concentrated in the western part of the area, while NO2 was high in the port area of Busan and SO2 was high in the western part of the area and near the new port of Busan. In the case of O3, it was high in the eastern part of the city. The traffic volume of freight vehicles by intersection was concentrated in the West Busan area, and the traffic volume for all cars was also confirmed to be concentrated at "Mandeok Intersection" located in the West Busan area. Conclusions: This study was conducted to determine the relationship between air pollutants emitted from motor vehicles and the distribution of air pollutants in Busan. The spatial distribution of PM10 and PM2.5 correlates with traffic volume, while high concentrations of SO2 and NO2 near the port are associated with ship emissions.

Keywords

References

  1. Kim D, Son YS. Spatial-temporal variations in air pollution in Busan metropolitan city (2010~2018). J Korean Soc Atmos Environ. 2020; 36(3): 309-328. 
  2. National Air Emission Inventory and Research Center. Clean air policy support system (CAPSS). Available: https://www.air.go.kr/article/list.do?boardId=10&menuId=32 [accessed 21 April 2024]. 
  3. Heo JB, Lee W, Jang H, Kim J. The management strategies to control ambient fine particles emitted from port facilities and ships in Busan. Busan: Busan Development Institute; 2021 Jan. Report No.: 2020-12-947. 
  4. Chin ATH. Containing air pollution and traffic congestion: transport policy and the environment in Singapore. Atmos Environ. 1996; 30(5): 787-801. 
  5. Kim WS, Eom JK, Hwang K, Jang JH. Internalizing environmental cost using TDM alternatives. J Korean Soc Transp. 1999; 17(4): 99-110. 
  6. Woo J, Shin J, Min G, Kim D, Sung K, Cho M, et al. Analysis and exposure assessment of factors that affect the concentration of ambient PM2.5 in Seoul based on population movement. J Environ Health Sci. 2024; 50(1): 6-15. 
  7. Ministry of Land, Infrastructure and Transport (MORIT). Available: https://data.molit.go.kr:11180/studio/exported/68dc6a3f9863491a878f3051dd882f53ba8acc31288b469da45a0a1d939cc0cd [accessed 19 April 2024]. 
  8. Wan Z, Zhu M, Chen S, Sperling D. Pollution: three steps to a green shipping industry. Nature. 2016; 530(7590): 275-277. 
  9. Papson A, Hartley S, Kuo KL. Analysis of emissions at congested and uncongested intersections with motor vehicle emission simulation 2010. Transp Res Rec. 2012; 2270(1): 124-131. 
  10. Park S, Yoon D, Kong H, Kang S, Lee C. A case study on distribution characteristics of indoor and outdoor particulate matter (PM10, PM2.5) and black carbon (BC) by season and time of the day in apartments. J Environ Health Sci. 2021; 47(4): 339-355. 
  11. Shin DC. Health effects of ambient particulate matter. J Korean Med Assoc. 2007; 50(2): 175-182. 
  12. Choi KC, Yoo SY, Jeon BK. A study on the characteristics of concentrations of atmospheric aerosols in Pusan. J Environ Health Sci. 2000; 26(2): 41-48. 
  13. Deng Q, Deng L, Miao Y, Guo X, Li Y. Particle deposition in the human lung: health implications of particulate matter from different sources. Environ Res. 2019; 169: 237-245. 
  14. Cheng G, Zhang C. Desulfurization and denitrification technologies of coal-fired flue gas. Pol J Environ Stud. 2018; 27(2): 481-489. 
  15. Sawyer RF, Harley RA, Cadle SH, Norbeck JM, Slott R, Bravo HA. Mobile sources critical review: 1998 NARSTO assessment. Atmos Environ. 2000; 34(12): 2161-2181. 
  16. Singh D, Kumar A, Kumar K, Singh B, Mina U, Singh BB, et al. Statistical modeling of O3, NOx, CO, PM2.5, VOCs and noise levels in commercial complex and associated health risk assessment in an academic institution. Sci Total Environ. 2016; 572: 586-594. 
  17. Kim HJ, Lovell SJ, O'Farrell J, Cho Y. The measures of ozone pollution: an analysis of ozone concentration data in USA. Asian J Atmos Environ. 2008; 2(1): 47-53. 
  18. Kim MK, Lee HW, Jung WS, Do WG. Analysis on the effect of meteorological factors related to difference of ozone concentration at the neighboring areas in Gijang Busan. J Environ Sci. 2012; 21(9): 1097-1113. 
  19. Long Y, Wu Y, Xie Y, Huang L, Wang W, Liu X, et al. PM2.5 and ozone pollution-related health challenges in Japan with regards to climate change. Glob Environ Chang. 2023; 79: 102640. 
  20. Sheffield PE, Zhou J, Shmool JL, Clougherty JE. Ambient ozone exposure and children's acute asthma in New York City: a case-crossover analysis. Environ Health. 2015; 14: 25. 
  21. Fang X, Li R, Xu Q, Bottai M, Fang F, Cao Y. A two-stage method to estimate the contribution of road traffic to PM2.5 concentrations in Beijing, China. Int J Environ Res Public Health. 2016; 13(1): 124. 
  22. Jiang L, Sun Z, Qi Q, Zhang A. Spatial correlation between traffic and air pollution in Beijing. Prof Geogr. 2019; 71(4): 654-667. 
  23. Jin J, Jin J. A study on the effect of traffic congestion on particulate matter concentration in Seoul: big data approach. J Korea Plan Assoc. 2021; 56(1): 121-136. 
  24. Jeong JC, Lee PSH. Spatial distribution of particulate matters in comparison with land-use and traffic volume in Seoul, Republic of Korea. J Cadastre Land InformatiX. 2018; 48(1): 123-138. 
  25. Garnica-Monroy R, Garibay-Bravo V, Gonzalez-Gonzalez A, Salgado H, Hernandez-Reyes M. Spatial analysis of exposure to trafficrelated air pollution in Mexico: implications for urban planning to improve public health. Appl Spat Anal. 2022; 15(3): 647-665. 
  26. KOrean Statistical Information Service (KOSIS). Inquiry of final confirmed measurement data. Available: http://kosis.kr/search/search.do?query=%EB%8C%80%EA%B8%B0%EC%98%A4%EC%97%BC%EB%AC%BC%EC%A7%88%C2%A0%EB%B0%B0%EC%B6%9C%EB%9F%89 [accessed 28 January 2024]. 
  27. Busan Metropolitan City. Statistics status of vehicle registration office. Available: https://busan.go.kr/car/crcounty [accessed 30 January 2024]. 
  28. Song SK, Shon ZH, Kim YK, Kang YH, Oh IB, Jung CH. Influence of ship emissions on ozone concentrations around coastal areas during summer season. Atmos Environ. 2010; 44(5): 713-723. 
  29. Kim J, Ghim YS, Han J, Park S, Shin H, Lee S, et al. Long-term trend analysis of Korean air quality and its implication to current air quality policy on ozone and PM10. J Korean Soc Atmos Environ. 2018; 34(1): 1-15. 
  30. Jeong MJ, Kim WJ, Heo JB, Kim SY. Exploration of the spatial and temporal patterns of surface ozone concentrations for development of ozone prediction model in South Korea. J Korean Soc Atmos Environ. 2022; 38(1): 100-125. 
  31. Shon ZH. Photochemical analysis of ozone episodes in the metropolitan area of Seoul during the summer 2004. J Korean Soc Atmos Environ. 2006; 22(3): 361-371. 
  32. Song SK, Shon ZH. Analysis of chemical and meteorological effects on the concentration difference of photochemical air pollutants between coastal and inland regions in Busan. J Environ Sci. 2008; 17(10): 1169-1182. 
  33. Kim MK, Do WG, Cho JG. The analysis of atmospheric environment features using the urban atmospheric environment map in Busan. Annu Rep Busan Metrop City Inst Health Environ. 2012; 22(1): 177-200. 
  34. Monks PS. A review of the observations and origins of the spring ozone maximum. Atmos Environ. 2000; 34(21): 3545-3561. 
  35. Beevers SD, Carslaw DC. The impact of congestion charging on vehicle emissions in London. Atmos Environ. 2005; 39(1): 1-5.