Journal of Environmental Health Sciences (한국환경보건학회지)

Korean Society of Environmental Health (한국환경보건학회)
권호 표지
DOI QR코드

DOI QR Code

Health Vulnerability Assessment for PM10 due to Climate Change in Incheon

인천지역 기후변화에 따른 미세먼지의 건강 취약성 평가

  • Yoo, Heejong (Incheon Research Institute of Public Health & Environment) ;
  • Kim, Jongkon (National institute of Chemical Safety) ;
  • Shin, Jaewon (Incheon Research Institute of Public Health & Environment) ;
  • Kim, Youngju (Incheon Research Institute of Public Health & Environment) ;
  • Min, Sungeun (Incheon Research Institute of Public Health & Environment) ;
  • Jegal, Daesung (Incheon Research Institute of Public Health & Environment) ;
  • Bang, Kiin (Incheon Research Institute of Public Health & Environment) ;
  • Lee, Sungmo (Incheon Research Institute of Public Health & Environment)
  • Received : 2017.05.31
  • Accepted : 2017.06.14
  • Published : 2017.06.28
Download PDF
⟨ Previous Next ⟩

Abstract

Objectives: This study was conducted to evaluate the vulnerability of the human health sector to $PM_{10}$ due to climate change in Incheon over the period of 2005-2014. Methods: Vulnerability to $PM_{10}$ consists of the three categories of climate exposure, sensitivity, and adaptive capacity. The indexes for climate exposure and sensitivity indicate positive effects, while adaptive capacity shows a negative effect on vulnerability to $PM_{10}$. The variables in each category were standardized by the rescaling method, and respective relative regional vulnerability was analyzed through the vulnerability index calculation formula of the Intergovernmental Panel on Climate Change. Results: Regions with a high exposure index were the western and northern urban areas with industrial complexes adjacent to a highway, including Bupyong-gu and Seo-gu. Major factors determining the climate exposure index were the $PM_{10}$ concentration, days of $PM_{10}$ >= $100{\mu}g/m^3$, and $PM_{10}$ emissions. The regions showing a high sensitivity index were urban regions with high populations; these commonly had a high mortality rate for related diseases and vulnerable populations. Conclusions: This study is able to support regionally adjusted adaptation policies and the quantitative background of policy priority since it provides information on the regional health vulnerability to $PM_{10}$ due to climate change in Incheon.

Keywords

References

  1. IPCC (Intergovernmental Panel on Climate Change). Climate change 2007: The physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S; Qin, D; Manning, M; et al.; (eds.)]. Cambridge, United Kingdom and New York, NY: Cambridge University Press; 2007. 996.
  2. IPCC: IPCC Fourth Assessment Report: Climate Change 2007 (AR4). 2007.
  3. Cho HJ, Jang SH, Kim YS. Development of $CO_2$ Emission Estimation Model by Multiple Regression Analysis. J Env Hlth Sci. 2008; 34(4): 316-326.
  4. National Institute of Meteorological Research: Study on the extreme heat watch warning system (II). 2007.
  5. Kysel J. Mortality and displaced mortality during heat waves in the Czech Republic. Int J Biometeorol. 2004; 49(2): 91-97. https://doi.org/10.1007/s00484-004-0218-2
  6. Lim YH and Kim H. Climate Change and Health - A System Review of Low and High Temperature Effects on Mortality. J Environ Health Sci. 2011; 37(6): 397-405.
  7. World Health Organization: Heat-waves: risks and response, Health and Global Environmental Change, Series, No. 2. Energy, Environment and Sustainable Development. 2014. 123.
  8. WHO. Using climate to predict infectious disease outbreak: a review. Geneva: World Health Organization Press; 2004. 37-42.
  9. Canova C, Dunster C, Kelly FJ, Minelli C, Shah PL, Caneja, et al. PM10-induced hospital admissions for asthma and chronic obstructive pulmonary disease: the modifying effect of individual characteristics. Epidemiology. 2012; 23(4): 607-615. https://doi.org/10.1097/EDE.0b013e3182572563
  10. Faustini A, Stafoggia M, Cappai G, Forastiere F. Short-term effects of air pollution in a cohort of patients with chronic obstructive pulmonary disease. Epidemiology. 2012; 23(6): 861-879. https://doi.org/10.1097/EDE.0b013e31826767c2
  11. Ostro B, Roth L, Malig B, Marty M. The effects of fine particle components on respiratory hospital admissions in children. Environ Health Perspect. 2009; 117(3): 475-480. https://doi.org/10.1289/ehp.11848
  12. Colais P, Faustini A, Stafoggia M, Berti G, Bisanti L, Cadum E, et al. EPIAIR Collaborative Group. Particulate air pollution and hospital admissions for cardiac diseases in potentially sensitive subgroups. Epidemiology. 2012; 23(3): 473-481. https://doi.org/10.1097/EDE.0b013e31824d5a85
  13. Katsouyanni K, Samet JM, Anderson HR, Atkinson R, Le Terte A, Medina S, et al. HEI Health Review Committee. Air pollution and health: a European and North American approach (APHENA). Res Rep Health Eff Inst. 2009; 142: 5-90.
  14. Goodman PG, Dockery DW, Clancy L. Cause-specific mortality and the extended effects of particulate pollution and temperature exposure. Environ Health Perspect. 2004; 112(2): 179-185. https://doi.org/10.1289/ehp.6451
  15. Yoo GY, Kim IA. Development and application of a climate change vulnerability index. Seoul: Korea Environment Institute; 2008. RE-05. 1-88.
  16. Go, JK. A study of vulnerability assessment to climate change in Gyeonggi-do. Gyeonggi: Gyeongggi Research Institute; 2009. Policy research 2009-37. 1-184.
  17. Lee WJ, Hwang MJ, Kim YK. Health Vulnerability Assessment for $PM_{10}$ in Busan. Environ Health Perspect. 2014; 40(5): 355-366.
  18. Incheon Environmental Information System, http://ecopia.incheon.go.kr
  19. Korean Statistical Information Service, http://kosis.kr
  20. Korea Environment Institute, http://www.kei.re.kr
  21. IPCC. Climate change 2007: Impact, adaptation and vulnerability. Geneva: Cambridge University Press; 2007. 1-22
  22. National Air Pollutants Emission Service, http://airemiss.neir.go.kr.