Analysis of Intervention Strategies for Inhalation Exposure to Polycyclic Aromatic Hydrocarbons and Associated Lung Cancer Risk Based on a Monte Carlo Population Exposure Assessment Model
It is difficult to evaluate and compare interventions for reducing exposure to air pollutants, including polycyclic aromatic hydrocarbons (PAHs), a widely found air pollutant in both indoor and outdoor air. This study presents the first application of the Monte Carlo population exposure assessment model to quantify the effects of different intervention strategies on inhalation exposure to PAHs and the associated lung cancer risk. The method was applied to the population in Beijing, China, in the year 2006. Several intervention strategies were designed and studied, including atmospheric cleaning, smoking prohibition indoors, use of clean fuel for cooking, enhancing ventilation while cooking and use of indoor cleaners. Their performances were quantified by population attributable fraction (PAF) and potential impact fraction (PIF) of lung cancer risk, and the changes in indoor PAH concentrations and annual inhalation doses were also calculated and compared. The results showed that atmospheric cleaning and use of indoor cleaners were the two most effective interventions. The sensitivity analysis showed that several input parameters had major influence on the modeled PAH inhalation exposure and the rankings of different interventions. The ranking was reasonably robust for the remaining majority of parameters. The method itself can be extended to other pollutants and in different places. It enables the quantitative comparison of different intervention strategies and would benefit intervention design and relevant policy making.
References
[1]
International Agency of Research on Cancer (2010) Some non-heterocyclic polycyclic aromatic hydrocarbons and some related exposures. IARC Mongraphs on the Evaluation of Carcinogenic Risks to Human 92: 1–853.
[2]
Armstrong B, Hutchinson E, Unwin J, Fletcher T (2004) Lung cancer risk after exposure to polycyclic aromatic hydrocarbons: A review and meta-analysis. Environmental Health Perspectives 112: 970–978.
[3]
Mastrangelo G, Fadda E, Marzia V (1996) Polycylic aromatic hydrocarbons and cancer in man. Environmental Health Perspectives 104: 1166–1170.
[4]
Keith LH, Telliard WA (1979) Priority pollutants: A perspective view. Environmental Science and Technology 13: 416–423.
[5]
Li Z, Sjodin A, Romanoff LC, Horton K, Fitzgerald CL, et al. (2011) Evaluation of exposure reduction to indoor air pollution in stove intervention projects in Peru by urinary biomonitoring of polycyclic aromatic hydrocarbon metabolites. Environment International 37: 1157–1163.
[6]
Riojas-Rodriguez H, Schilmann A, Marron-Mares AT, Masera O, Li Z, et al. (2011) Impact of the improved patsari biomass stove on urinary polycyclic aromatic hydrocarbon biomarkers and carbon monoxide exposures in rural Mexican women. Environmental Health Perspectives 119: 1301–1307.
[7]
Co SH, Kang D, Kang JW, Ju YS, Sung J, et al. (2000) Use of urinary PAH metabolites to assess PAH exposure intervention among coke oven workers. Journal of Occupational Health 42: 138–143.
[8]
Vardoulakis S, Chalabi Z, Fletcher T, Grundy C, Leonardi GS (2008) Impact and uncertainty of a traffic management intervention: Population exposure to polycyclic aromatic hydrocarbons. Science of the Total Environment 394: 244–251.
[9]
Zidek JV, Shaddick G, White R, Meloche J, Chatfield C (2005) Using a probabilistic model (pCNEM) to estimate personal exposure to air pollution. Environmentrics 16: 481–493.
[10]
Kruize H, Hanninen O, Breugelmans O, LebretE, Jantunen M (2003) Description and demonstration of the EXPOLIS simulation model: Two examples of modeling population exposure to particulate matter. Journal of Exposure Analysis and Environmental Epidemiology 13: 87–99.
[11]
Burke JM, Zufall MJ, Ozkaynak H (2001) A population exposure model for particulate matter: case study results for PM2.5 in Philadelphia, PA. Journal of Exposure Analysis and Environmental Epidemiology 11: 470–489.
[12]
Zartarian V, Glen G, Smith L, Xue J (2008) Stochastic Human Exposure and Dose Simulation Model for Multimedia, Multipathway Chemicals (SHEDS-Multimedia Model) Version 3 Technical Manual. EPA 600/R-08/118. U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC.
[13]
Loh MM, Levy JI, Spengler JD, Houseman EA, Bennett DH (2007) Ranking cancer risks of organic hazardous air pollutants in the United States. Environmental Health Perspectives 115: 1160–1168.
[14]
Zhou B, Zhao B (2012) Population inhalation exposure to polycyclic aromatic hydrocarbons and associated lung cancer risk in Beijing region: Contributions of indoor and outdoor sources and exposures. Atmospheric Environment 62: 472–480.
[15]
Beijing Municipal Bureau of Statistics (2007) Beijing statistical yearbook. Beijing: China Statistics Press.
[16]
Ezzati M, Lopez AD, Rodgers A, Murray CJL (2004) Comparative quantification of health risks: global and regional burden of disease attributable to selected major risk factors. Geneva: World Health Organization.
[17]
Nisbet ICT, Lagoy PK (1992) Toxic equivalency factors (TEFs) for polycyclic aromatic hydrocarbons (PAHs). Regulatory Toxicology and Pharmacology 16: 290–300.
[18]
Li Q, Yang X, Shan M (2011) Characterizing the community energy consumption in a village of Beijing, China: a field survey study. Institute of Built Environment Internal Report, Tsinghua University, Beijing, China.
[19]
World Health Organization (2000) Air Quality Guidelines for Europe, Second Edition. Regional Office for Europe, World Health Organization, Copenhagen.
[20]
Allen RW, Carlsten C, Karlen B, Leckie S, van Eeden S, et al. (2011) An air filter intervention study of endothelial function among healthy adults in a woodsmoke-impacted community. American Journal of Respiratory and Critical Care Medicine 183: 1222–1230.
[21]
Batterman S, Du L, Mentz G, Mukherjee B, Parker E, et al. (2012) Particulate matter concentrations in residences: an intervention study evaluating stand-alone filters and air conditioners. Indoor Air 22: 235–252.
[22]
Lan Q, Tian L, He X, Yang R, Li R, et al. (1999) Primary prevention strategy and reduction of lung cancer risk: Intervention effect assessment of the stove improvement in Xuanwei county. Chinese Journal of Public Health 15(2): 116–119.
[23]
Liu Y, Guo Y, Liu F (2011) Stoves improvement and indoor air pollution abatement in rural area in China. Journal of Environment and Health 28(3): 240–241.
[24]
Liu L, Zhang J, Jiang F (2007) The status quo of the indoor air pollution intervention measures in rural China. Journal of Safety and Environment 7(3): 35–39.
[25]
Zhang Y, Tao S, Shen H, Ma J (2009) Inhalation exposure to ambient polycyclic aromatic hydrocarbons and lung cancer risk of Chinese population. Proceedings of the National Academy of Sciences USA 106: 21063–21067.
[26]
He X, Chen W, Chen H (1989) An epidemiological study on dose-response relationship between B[a]P concentrations in indoor air and lung mortality in Xuanwiei, China. In Present and Future of Indoor Air Quality: Proceedings of the Brussels Conference (Edited by C. J. Bieva et al.) pp. 227–233. Elsevier Science, Amsterdam.
[27]
Shi S, Zhao B (2012) Comparison of the predicted concentration of outdoor originated indoor polycyclic aromatic hydrocarbons between a kinetic partition model and a linear instantaneous model for gas-particle partition. Atmospheric Environment 59: 93–101.
