Journal of Environmental Impact Assessment (환경영향평가)

Korean Society of Environmental Impact Assessment (한국환경영향평가학회)
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An Analysis of the Effects of Fine Dust Reduction Policies on PM10 Concentration and Health Using System Dynamics

시스템다이내믹스를 활용한 미세먼지 저감 정책이 미세먼지 농도와 건강에 미치는 영향 분석

  • Seho Lee (Department of Urban Planning and Engineering, Pusan National University) ;
  • Jung Eun Kang (Department of Urban Planning and Engineering, Pusan National University) ;
  • Ji-Yoon Lee (Department of Urban Planning and Engineering, Pusan National University) ;
  • Minyeong Park (Department of Urban Planning and Engineering, Pusan National University) ;
  • Ji Yoon Choi (Department of Urban Planning and Engineering, Pusan National University)
  • Received : 2023.09.22
  • Accepted : 2023.10.18
  • Published : 2023.10.31
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Abstract

This study utilizes system dynamics to examine the effects of fine dust reduction policies on PM10 concentration and health. System dynamics has the advantage of modeling the dynamic and circular relationship between PM10 emission sources, reduction policies, PM10 concentration, and health effect. The study created policy scenarios for Korea's representative fine dust reduction policies - industrial PM10 emission control, diesel vehicle regulation, expansion of electric vehicles, and expansion of parks and green areas - and compared the results with the 2030 baseline if the current trend is maintained. The analysis showed that the policy of supporting electric vehicles reduced PM10 concentration by 0.21 ㎍/m3 and reduced the number of people with circulatory diseases by 494, and the effect was evenly distributed across the country. The industrial emissions regulation scenario resulted in the highest PM10 concentration reduction of 0.22 ㎍/m3, but had a lower reduction in the number of people affected (358) than the EV support strategy, which could be attributed to the fact that this policy had a particularly high PM10 reduction effect in industrial areas such as Danyang-gun, Chungcheongbuk-do, and Sahagu, Busan. As a policy implication, this study suggests that it is necessary to apply fine dust policies tailored to the characteristics of local emission sources.

본 연구는 시스템다이내믹스를 활용하여 미세먼지 저감 정책이 미세먼지 농도와 건강에 미치는 영향을 살펴보았다. 시스템다이내믹스는 미세먼지 발생원, 저감 정책, 미세먼지 농도, 건강영향 간의 동태적이며 순환적인 관계의 모델링을 구축할 수 있는 장점이 있다. 연구에서는 국내의 대표적 미세먼지 저감 정책인 산업부문 미세먼지 배출규제, 디젤차 규제, 전기차 확대, 공원·녹지면적 확대를 대상으로 정책 시나리오를 작성하여 현재 추세가 유지될 때와의 2030년 기준 결과를 비교하였다. 분석 결과, 전기차 지원정책은 0.21㎍/m3의 PM10 농도 저감과 494명의 순환기계 질환자 수 감소 효과가 있었으며 전국적으로 고르게 효과가 나타났다. 산업 배출량 규제 시나리오에서는 0.22㎍/m3의 가장 높은 PM10 농도가 감소하였으나 전기차 지원보다 적은 질환자 수 감소 효과(358명)가 나타났는데 이는 해당 정책이 충북 단양군, 부산 사하구 등 일부 공업지역을 중심으로 높은 미세먼지 저감 효과를 보였기 때문이다. 이러한 결과는 지역의 배출원 특성에 맞는 정책 선정의 필요성을 제시하였다.

Keywords

Acknowledgement

본 연구는 환경부 「기후변화특성화대학원사업」과 한국환경산업기술원의 환경보건디지털 조사기반 구축기술개발사업의 지원을 받아 연구되었습니다(2021003330002).

References

  1. Maeng JY. 2014. A Study on the Correlations between Urban Variables and Air Pollutants: Focused on SO2, NO2 and PM10. Ph.D. dissertation. Gachon University, Seongnam-si, Gyeonggi-do. [Korean Literature]
  2. Ahn HS, Lee JW, Andy H. 2022. Urban form and air pollution: Clustering patterns of urban form factors related to particulate matter in Seoul, Korea, Sustainable Cities and Society, 81: 103859.
  3. Ahn SE, Jeon HC. 2018. National Environmental Consciousness Survey, Korea Environment Institute (KEI). [Korean Literature]
  4. Airkorea. 2021. Annual Report of Air Quality in Korea, 2021, Ministry of Environment (ME). [Korean Literature]
  5. Bae HJ. 2014. Effects of Short-term Exposure to PM10 and PM2.5 on Mortality in Seoul, Journal of Environmental Health Sciences (JEHS), 40(5): 346-354. [Korean Literature] https://doi.org/10.5668/JEHS.2014.40.5.346
  6. Bae JH, Kim YS. 2016. Policy Effects and Causes of Air pollution in Korea, Environmental and Resource Economics Review, 25(4): 545-564. [Korean Literature]
  7. Busan. 2018. Comprehensive Measures for Fine Dust Management in Busan. [Korean Literature]
  8. Chang MJ, Choi KH. 2009. Mortality for PM10 in Seoul by using Nonlinear Regression Model, Journal of the Korean Data Analysis Society, 11(5): 2425-2436. [Korean Literature]
  9. Cheongju. 2021. Master Plan for Fine Dust Management in Cheongju (2021~2025)". [Korean Literature]
  10. Cho IH, Ju HJ, Kwon GH. 2013. The Impact Analysis of Air Pollutants on Increasing Environmental Disease : Focusing on Allergic Rhinitis and Asthma in Seoul Metropolitan City, Seoul Studies, 14(2): 97-114. [Korean Literature] https://doi.org/10.23129/SEOULS.14.2.201306.97
  11. Choi KC, Chung YM, Jung EH, Sim CS, Lee SM, Jeon HC, Kim YH. 2022. Predicting Particulate Matter Concentration in 2030 and Setting the Policy Direction for its Simultaneous Reduction in Line with the Carbon Neutrality Strategy (I), Sejong: KEI. [Korean Literature]
  12. Choi NH. 2003. A System Dynamics Approach in Analyzing the Dynamics of Seoul Metropolitan and Finding Policy Leverages: Causal Loop Structures and System Behaviors, Korean Public Administration Review, 37(4): 329-359. [Korean Literature]
  13. Daegu. 2016. Measures to reduce PM2.5 by 20%. [Korean Literature]
  14. Doherty RM, Heal MR, O'Connor FM. 2017. Climate change impacts on human health over Europe through its effect on air quality, Environmental Health, 16(1): 33-44. https://doi.org/10.1186/s12940-017-0243-3
  15. Forrester JW. 1994. System dynamics, systems thinking, and soft OR, System dynamics review, 10(2-3): 245-256. https://doi.org/10.1002/sdr.4260100211
  16. Korea Forest Service. 2018. How to Build Green Infrastructure to Reduce Fine Dust and Create Quality Cities [Korean Literature]
  17. Hong MG, Ban YU, Choi NH. 2019. Building a Causal Loop of Disaster Management Process for Fine Dust Considering a Dynamic Life Cycle, Crisisonomy, 15(6): 45-58. [Korean Literature] https://doi.org/10.14251/crisisonomy.2019.15.6.45
  18. Hosseinabad ER, Moraga R. 2017. A System Dynamics Approach in Air Pollution Mitigation of Metropolitan Areas with Sustainable Development Perspective: A Case Study of Mexico City, Journal of Applied Environmental and Biological Sciences, 7(12): 164-174.
  19. Hur YG, Kang MG. 2022. The Effects of Urban Spatital Structure and Meteorological Factors on the High Concentration of Fine Dust Pollution, Journal of Korea Planning Association, 57(1): 145-160. [Korean Literature] https://doi.org/10.17208/jkpa.2022.02.57.1.145
  20. Hwang IC. 2019. Aging and Health effect of PM2.5, Policy report, Seoul : The Seoul Institute. [Korean Literature]
  21. Jeong JC, Lee SH. 2018. Spatial distribution of particulate matters in comparison with landuse and traffic volume in Seoul, Republic of Korea, Journal of Cadastre & Land InformatiX, 48(1): 123-138. [Korean Literature]
  22. Jung JU, Kim HS. 2007. A Study on Ensuring Validity and Increasing Power of Expression on Causal Maps, Korean System Dynamics Review, 8(1): 97-115. [Korean Literature]
  23. Jung YH. 2010. The Effect of Health Promotion on Economic Growth: A Literature Review, Health and Welfare Forum, 2010(4): 66-77. [Korean Literature]
  24. Kim BS, Moon TH. 2014. A Study on the Effect of Urban Spatial Structure Characteristics on CO2 Emission from Transport Sector: Using System Dynamics Simulation Method, Journal of the Korean Regional Development Association 26(5): 75-94. [Korean Literature]
  25. Kim HD, Kim JH, Jo HH. 2022. Analysis of the Factors Influencing PM10 & PM2.5 in Korea by Panel Quantile-Regression, Environmental and Resource Economics Review, 31(1): 85-112. [Korean Literature]
  26. Kim HG. 2018. Estimating Changes of Causative Factors' Influences: Focusing on Diesel, Journal of the Korean Data Analysis Society, 20(2): 747-757. [Korean Literature] https://doi.org/10.37727/jkdas.2018.20.2.747
  27. Kim JH, Kang SW. 2018. Analysis of Factors Influencing PM10 Pollution in Korea, Korea Environmental Economics Association 2018 collection of papers at a summer academic conference, pp. 779-791 [Korean Literature]
  28. Kim KR, Lee SH, Ban YU. 2021. Causal Map of Fine Dust (PM10) Using System Dynamics: Focused on the Policy Variables in Seoul and Cheongju, Crisisonomy, 17(8): 25-46. [Korean Literature] https://doi.org/10.14251/crisisonomy.2021.17.8.25
  29. Kim SI, Kang BU. 2020. An Analysis of the Effect of Fine Dust Reduction Policy in Power Generation and Transportation Sector, Ulsan: Korea Energy Economics Institute. [Korean Literature]
  30. Kim WS. 2022. Integrated management between carbon neutrality and fine dust, and what is the choice of symbiosis strategy for cities, Monthly public policy 200, pp. 65-68. [Korean Literature]
  31. Korea Disease Control and Prevention Agency (KDCA), Korean Medical Association (KMA). 2018. Health Effects of Fine Dust and Patient Guidance, KDCA. [Korean Literature]
  32. Lee HJ, Jeong YM, Kim ST, Lee WS. 2018. Atmospheric Circulation Patterns Associated with Particulate Matter over South Korea and Their Future Projection, Journal of Climate Change Research, 9(4): 423-433. [Korean Literature] https://doi.org/10.15531/KSCCR.2018.9.4.423
  33. Lee HM, Kim YP. 2007. Analysis on the Effects of Traffic Control Program on the Air Quality in Seoul, Journal of Korean Society for Atmospheric Environment, 23(4): 498-506. [Korean Literature] https://doi.org/10.5572/KOSAE.2007.23.4.498
  34. Lee KS. 2008. Spacio-temporal Analysis of Urban Population Exposure to Traffic-Related air Pollution, Journal of the Economic Geographical Society of Korea, 11(1): 59-77. [Korean Literature] https://doi.org/10.23841/egsk.2008.11.1.59
  35. Lee SH, Kang JE. 2022. Impact of particulate matter and urban spatial characteristics on urban vitality using spatiotemporal big data, Cities, 131: 104030.
  36. Lewis DC. 1982. Industrial and Business Forecasting Method, Butterworth.
  37. Lipsett MJ, Ostro BD, Reynolds P, Goldbert D, Hertz A, Jerrett M, Smith DF, Garcia C, Chang ET and Bernstein L. 2011. Long-term exposure to air pollution and cadiorespiratory disease in the California teachers study cohort, American Journal of Respiratory and Critical Care Medicine, 184(7): 828-835. https://doi.org/10.1164/rccm.201012-2082OC
  38. Ministry of Environment (ME). 2019. Comprehensive Plan for Fine Dust Management (2020-2024). [Korean Literature]
  39. Moon TH. 2002. Issues and Methodological Status of System Dynamics, Korean System Dynamics Review, 3(1): 61-77. [Korean Literature]
  40. Moon TH. 2007. System Dynamics, Perspective & Applications, Korean Association for Policy Studies Spring Academic Presentation Papers; 1-21. [Korean Literature]
  41. Oh KS, Koo JH, Cho CJ. 2005. The Effects of Urban Spatital Elements on Local Air Pollution, Journal of Korea Planning Association, 40(3): 159-170. [Korean Literature]
  42. Park CS. 2017. Variations of PM10 concentration in Seoul during 2015 and relationships to weather condition, Landscape and geography (JAKPG), 27(2); 47-64. [Korean Literature] https://doi.org/10.35149/jakpg.2017.27.2.004
  43. Park SK. 2021. How much the energy source, GRDP, population change contribute to the emission of particulate matter?, Journal of Regional Studies and Development, 30(1): 157-188. [Korean Literature]
  44. Pope III CA, Dockery DW. 2006. Health effects of fine particulate air pollution: lines that connect, Journal of the Air & Waste Management Association, 56(6): 709-742. https://doi.org/10.1080/10473289.2006.10464485
  45. Schwartz J. 2001. Air pollution and blood markers of cardiovascular risk, Environmental health perspectives, 109(suppl 3): 405-409.
  46. Seo HJ, Lee HS. 2019. How air pollutants influence on Environmental diseases? : Focused on Seoul Metropolitan Area, Seoul Studies, 20(3): 39-49. [Korean Literature] https://doi.org/10.23129/SEOULS.20.3.201909.39
  47. Seoul. 2021. Measures for Fine Dust Mesh in the Living Area of Seoul. [Korean Literature]
  48. Shin DC. 2007. Health Effects of Ambient Particulate Matter, Journal of the Korean Medical Association, 50(2): 175-182. [Korean Literature] https://doi.org/10.5124/jkma.2007.50.2.175
  49. Statistics Korea. 2022. Causes of Death Statistics in 2021. [Korean Literature]
  50. World Health Organization. 2023. WHO ambient air quality database, 2022 update: status report, World Health Organization.
  51. Yang WH. 2019. Changes in Air Pollutant Concentrations Due to Climate Change and the Health Effect of Exposure to Particulate Matter, Health and Welfare Forum, 269: 20-31. [Korean Literature]
  52. Zhao S, Liu S, Hou X, Beazley R, Sun Y. 2019. Identifying the contributions of multiple driving forces to PM10-PM2.5 pollution in urban areas in China, Science of The Total Environment, 663: 361-368. https://doi.org/10.1016/j.scitotenv.2019.01.256