Development of human health damage factors for PM2.5 based on a global chemical transport model

The International Journal of Life Cycle Assessment volume 23, pages2300–2310(2018)Cite this article

Abstract

Purpose

Health damage from ambient fine particulate matter (PM2.5) shows large regional variations and can have an impact on a global scale due to its transboundary movement. However, existing damage factors (DFs) for human health in life cycle assessments (LCA) are calculated only for a few limited regions based on various regional chemical transport models (CTMs). The aim of this research is to estimate the human health DFs of PM2.5 originating from ten different regions of the world by using one global CTM.

Methods

The DFs express changes in worldwide disability-adjusted life years (DALYs) due to unit emission of black carbon and organic carbon (BCOC), nitrogen oxides (NO x ), and sulfur dioxide (SO2). DFs for ten regions were calculated as follows. Firstly, we divided the whole world into ten regions. With a global CTM (MIROC-ESM-CHEM), we estimated the concentration change of PM2.5 on the world caused by changes in the emission of a targeted precursor substance from a specific region. Secondly, we used population data and epidemiological concentration response functions (CRFs) of mortality and morbidity to estimate changes in the word’s DALYs occurring due to changes in the concentration of PM2.5. Finally, the above calculations were done for all ten regions.

Results and discussion

DFs of BCOC, NO x , and SO2 for ten regions were estimated. The range of DFs could be up to one order of magnitude among the ten regions in each of the target substances. While population density was an important parameter, variation in transport of PM2.5 on a continental level occurring due to different emission regions was found to have a significant influence on DFs. Especially for regions of Europe, Russia, and the Middle East, the amount of damage which occurred outside of the emitted region was estimated at a quarter, a quarter, and a third of their DFs, respectively. It was disclosed that the DFs will be underestimated if the transboundary of PM2.5 is not taken into account in those regions.

Conclusions

The human health damage factors of PM2.5 produced by BCOC, NO x , and SO2 are estimated for ten regions by using one global chemical transport model. It became clear that the variation of transport for PM2.5 on a continental level greatly influences the regionality in DFs. For further research to quantify regional differences, it is important to consider the regional values of concentration response function (CRF) and DALY loss per case of disease or death.

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References

  1. Alcamo J, Shaw R, Hordijk L (1990) The RAINS model of acidification, science and strategies in Europe. Kluwer Academic Publishers, Dordrecht

    Google Scholar 

  2. Barrett K, Schaug J, Bartonova A, Semb A, Hjellbrekke AG, Hanssen JE (2000) A contribution from CCC to the reevaluation of the observed trends in sulfur and nitrogen in Europe 1978–1998, EMEP/CCC-Report 7/2000. Norwegian Institute for Air Research, Norway

    Google Scholar 

  3. Beelen R, Raaschou-Nielsen O, Stafoggia M, Andersen ZJ, Weinmayr G et al (2014) Effects of long-term exposure to air pollution on natural-cause mortality: an analysis of 22 European cohorts within the multicentre ESCAPE project. Lancet 383:785–795

    CAS  Article  Google Scholar 

  4. Bickel P, Friedrich R, Droste-Franke B, Bachmann TM, Greßmann A, Rabl A, Hunt A, Markandya A, Tol R, Hurley F, Navrud S, Hirschberg S, Burgherr P, Heck T, Torfs R, de Nocker L, Vermoote S, Int Panis L, Tidblad J (2005) ExternE—externalities of energy—methodology 2005 update. European Commission, EUR 21951 EN, Luxembourg

    Google Scholar 

  5. Cao J, Yang C, Li J, Chen R, Chen B, Gu D, Kan H (2011) Association between long-term exposure to outdoor air pollution and mortality in China: a cohort study. J Hazard Mater 186:1594–1600

    CAS  Article  Google Scholar 

  6. CIESIN (Center for International Earth Science Information Network), Columbia University, FAO (United Nations Food and Agriculture Programme), CIAT (Centro Internacional de Agricultura Tropical) (2005) Gridded Population of the World, Version 3 (GPWv3): population count grid. Palisades, NY, from http://sedac.ciesin.columbia.edu/data/set/gpw-v3-population-count. Accessed 10 March 2013

  7. Dentener F, Keating T, Akimoto H (2010) Hemispheric transport of air pollution, part A, ozone and particulate matter. Economic Commission for Europe. Air Pollut Stud 1-117043-6:978–992, 1-117043-6

    Google Scholar 

  8. Goto D, Nakajima T, Takemura T, Sudo K (2011) A study of uncertainties in the sulfate distribution and its radiative forcing associated with sulfur chemistry in a global aerosol model. Atmos Chem Phys 11:10889–10910

    CAS  Article  Google Scholar 

  9. Greco SL, Wilson AM, Spengler JD, Levy JI (2007) Spatial patterns of mobile source particulate matter emissions-to-exposure relationships across the United States. Atmos Environ 41:1011–1025

    CAS  Article  Google Scholar 

  10. Gustafson WI Jr, Qian Y, Fast JD (2011) Downscaling aerosols and the impact of neglected subgrid processes on direct aerosol radiative forcing for a representative global climate model grid spacing. J Geophys Res 116, D13303

    Article  Google Scholar 

  11. Hoek G, Krishnan RM, Beelen R, Peters A, Ostro B, Brunekreef B, Kaufman JD (2013) Long-term air pollution exposure and cardio-respiratory mortality: a review. Environ Health 12:43–57

    CAS  Article  Google Scholar 

  12. Hofstetter P (1998) Perspectives in life cycle impact assessment, a structured approach to combine models of the technosphere, ecosphere and valuesphere. Kluwer Academic Publishers, Dordrecht

    Google Scholar 

  13. Huijbregts M, Verones F, Azevedo L, Chaudhary A, Cosme N et al. (2013). Report of the LC-IMPACT project (EU-sponsored FP7 project). Available at: http://www.lc-impact.eu/downloads/documents/Overall_report_Batch_1_FINAL.pdf

  14. Humbert S, Manneh R, Shaked S, Wannaz C, Horvath A, Deschênes L, Jolliet O, Margni M (2009) Assessing regional intake fractions in North America. Sci Total Environ 407(17):4812–4820

    CAS  Article  Google Scholar 

  15. Ikeda Y (2001) Establishment of comprehensive measures for control of the amount of air pollutant emissions in the whole East Asia, report on research results for FY1997 to FY2000 scientific research subsidies (basic research (B)(1))

  16. IMPACT World + (2012) Methodology and models. Available at http://www.impactworldplus.org/en/

  17. Itsubo N, Inaba A (2010) LIME2 life-cycle impact assessment method based on endpoint modeling. JEMAI, Tokyo (in Japanese)

    Google Scholar 

  18. Krewitt W, Trukenmüller A, Bachmann T, Heck T (2001) Country specific damage factors for air pollutants—a step towards site dependent Life cycle impact assessment. Int J Life Cycle Assess 6(4):199–210

    CAS  Article  Google Scholar 

  19. Krewski D, Burnett RT, Goldberg MS, Hoover K, Siemiatycki J, Jerrett M, Abrahamowicz M, White WH (2000) Reanalysis of the Harvard six cities study and the American Cancer Society Study of Particulate Air Pollution And Mortality: special report. Health Effects Institute, Cambridge

    Google Scholar 

  20. Krewski D, Jerrett M, Burnett RT, Ma R, Hughes E, Shi Y, Turner MC, Pope CA III, Thurston G, Calle EE, Thun MJ, Beckerman B, DeLuca P, Finkelstein N, Ito K, Moore DK, Newbold KB, Ramsay T, Ross Z, Shin H, Tempalski B (2009) Extended follow-up and spatial analysis of the American Cancer Society study linking particulate air pollution and mortality: special report. Health Effects Institute, Cambridge

    Google Scholar 

  21. Lamarque JF, Bond TC, Eyring V, Granier C, Heil A, Klimont Z, Lee D, Liousse C, Mieville A, Owen B, Schultz MG, Shindell D, Smith SJ, Stehfest E, Van Aardenne J, Cooper OR, Kainuma M, Mahowald N, McConnell JR, Naik V, Riahi K, van Vuuren DP (2010) Historical (1850–2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application. Atmos Chem Phys 10:7017–7039

    CAS  Article  Google Scholar 

  22. Lim SS, Vos T, Flaxman AD et al (2012) A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease study 2010. Lancet 380(9859):2224–2260

    Article  Google Scholar 

  23. Ohara T, Akimoto H, Kurokawa J, Horii N, Yamaji K, Yan X, Hayasaka T (2007) An Asian emission inventory of anthropogenic emission sources for the period 1980–2002. Atmos Chem Phys 7:4410–4444

    Article  Google Scholar 

  24. Pope CA, Burnett RT, Thun MJ, Calle EE, Krewski D, Ito K (2002) Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. J Am Med Assoc 287:1132–1141

    CAS  Article  Google Scholar 

  25. Pope CA, Thun MJ, Namboodiri MM, Dockery DW, Evans JS, Speizer FE, Heath CWJ (1995) Particulate air pollution as a predictor of mortality in a prospective study of U.S. adults. J Respir Crit Care Med 151(3):669

    Article  Google Scholar 

  26. Qian Y, Gustafson WI Jr, Fast JD (2010) An investigation of the sub-grid variability of trace gases and aerosols for global climate modeling. Atmos Chem Phys 10:6917–6946

    CAS  Article  Google Scholar 

  27. Schulz M et al (eds) (2013) Transboundary acidification, eutrophication and ground level ozone in Europe in 2011, EMEP Report 1/2013. Norwegian Meteorological Institute, Norway

    Google Scholar 

  28. Stroud CA, Makar PA, Moran MD, Gong W, Gong S, Zhang J, Hayden K, Mihele C, Brook JR, Abbatt JPD, Slowik JG (2011) Impact of model grid spacing on regional- and urban-scale air quality predictions of organic aerosol. Atmos Chem Phys 11:3107–3118

    CAS  Article  Google Scholar 

  29. Sudo K, Takahashi M, Kurokawa J, Akimoto H (2002) CHASER: a global chemical model of the troposphere 1. Model description. J Geophys Res 107:4339

    Google Scholar 

  30. Takemura T, Nakajima T, Higurashi A, Ohta S, Sugimoto N (2003) Aerosol distributions and radiative forcing over the Asian Pacific region simulated by Spectral Radiation-Transport Model for Aerosol Species (SPRINTARS). J Geophys Res 108(D23):8659

    Article  Google Scholar 

  31. Takemura T, Nozawa T, Emori S, Nakajima TY, Nakajima T (2005) Simulation of climate response to aerosol direct and indirect effects with aerosol transport-radiation model. J Geophys Res 110, D02202

    Google Scholar 

  32. Van Jaarsveld JA, Van Pul WAJ, De Leeuw FAAM (1997) Modeling transport and deposition of persistent organic pollutants in the European region. Atmos Environ 7:1011–1024

    Article  Google Scholar 

  33. Van Zelm R, Huijbregts MAJ, Den Hollander HA, Van Jaarsveld HA, Sauter FJ, Struijs J, Van Wijnen HJ, Van de Meent D (2008) European characterization factors for human health damage due to PM10 and ozone in life cycle impact assessment. Atmos Environ 42(3):441–453

    Article  Google Scholar 

  34. Watanabe S, Hajima T, Sudo K, Nagashima T, Takemura T, Okajima H, Nozawa T, Kawase H, Abe M, Yokohata T, Ise T, Sato H, Kato E, Takata K, Emori S, Kawamiya M (2011) MIROC-ESM 2010: model description and basic results of CMIP5-20c3m experiments. Geosci Model Dev 4:845–872

    Article  Google Scholar 

  35. World Health Organization (2008) The global burden of disease: 2004 Update. Geneva, WHO Press

  36. Yamaji K, Uno T, Irie H (2012) Investigating the response of East Asian ozone to Chinese emission changes using a linear approach. Atmos Environ 55:475–482

    CAS  Article  Google Scholar 

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Author information

Affiliations

  1. Center for Material Cycles and Waste Management Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba City, 305-8506, Ibaraki, Japan

    Longlong Tang

  2. Center for Regional Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba City, 305-8506, Ibaraki, Japan

    Tatsuya Nagashima & Toshimasa Ohara

  3. Chuden CTI Co., Ltd., 1-4-6 Masaki, Naka-ku, Nagoya City, 460-8690, Aichi, Japan

    Kouichi Hasegawa

  4. Graduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya City, 464-8601, Aichi, Japan

    Kengo Sudo

  5. Faculty of Environmental Studies, Tokyo City University, 3-3-1 Ushikubonishi, Tsuzuki-ku, 158-0087, Yokohama, Kanagawa, Japan

    Norihiro Itsubo

Authors
  1. Longlong Tang
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  2. Tatsuya Nagashima
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  3. Kouichi Hasegawa
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  4. Toshimasa Ohara
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  5. Kengo Sudo
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  6. Norihiro Itsubo
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Correspondence to Longlong Tang.

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Responsible editor: Stig Irving Olsen

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Tang, L., Nagashima, T., Hasegawa, K. et al. Development of human health damage factors for PM2.5 based on a global chemical transport model. Int J Life Cycle Assess 23, 2300–2310 (2018). https://doi.org/10.1007/s11367-014-0837-8

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Keywords

  • Disability-adjusted life years
  • Global chemical transport model
  • Human health damage
  • Life cycle impact assessment
  • Outdoor air pollution
  • PM2.5