Quantitative health risk assessment of inhalation exposure to automobile foundry dust
With a growing awareness of environmental protection, the dust pollution caused by automobile foundry work has become a serious and urgent problem. This study aimed to explore contamination levels and health effects of automobile foundry dust. A total of 276 dust samples from six types of work in an automobile foundry factory were collected and analysed using the filter membrane method. Probabilistic risk assessment model was developed for evaluating the health risk of foundry dust on workers. The health risk and its influencing factors among workers were then assessed by applying the Monte Carlo method to identify the most significant parameters. Health damage assessment was conducted to translate health risk into disability-adjusted life year (DALY). The results revealed that the mean concentration of dust on six types of work ranged from 1.67 to 5.40 mg/m3. The highest health risks to be come from melting, cast shakeout and finishing, followed by pouring, sand preparation, moulding and core-making. The probability of the risk exceeding 10−6 was approximately 85%, 90%, 90%, 75%, 70% and 45%, respectively. The sensitivity analysis indicated that average time, exposure duration, inhalation rate and dust concentration (C) made great contribution to dust health risk. Workers exposed to cast shakeout and finishing had the largest DALY of 48.64a. These results can further help managers to fully understand the dust risks on various types of work in the automobile foundry factories and provide scientific basis for the management and decision-making related to health damage assessment.
KeywordsAutomobile foundry Dust Health risk assessment Disability-adjusted life year Monte Carlo simulation
The study was financially supported by the National Natural Science Foundation of China (No. 51674268).
- Cheung, K., Daher, N., Kam, W., Shafer, M. M., Ning, Z., Schauer, J. J., et al. (2011). Spatial and temporal variation of chemical composition and mass closure of ambient coarse particulate matter (PM10–2.5) in the Los Angeles area. Atmospheric Environment, 45(16), 2651–2662. https://doi.org/10.1016/j.atmosenv.2011.02.066.CrossRefGoogle Scholar
- Hamzah, N. A., Tamrin, S. B. M., & Ismail, N. H. (2014). Metal dust exposure and respiratory health of male steel workers in Terengganu, Malaysia. Iranian Journal of Public Health, 43, 154–166.Google Scholar
- Harder, R., Holmquist, H., Molander, S., Svanström, M., & Peters, G. M. (2015). Review of environmental assessment case studies blending elements of risk assessment and life cycle assessment. Environmental Science and Technology, 49, 13083–13093. https://doi.org/10.1021/acs.est.5b03302.CrossRefGoogle Scholar
- Harrad, S., Hazrati, S., & Ibarra, C. (2006). Concentrations of polychlorinated biphenyls in indoor air and polybrominated diphenyl ethers in indoor air and dust in Birmingham, United Kingdom: Implications for human exposure. Environmental Science and Technology, 40, 4633–4638. https://doi.org/10.1021/es0609147.CrossRefGoogle Scholar
- Jiang, Y., Shi, L., Guang, A. L., Mu, Z., Zhan, H., & Wu, Y. (2017). Contamination levels and human health risk assessment of toxic heavy metals in street dust in an industrial city in northwest china. Environmental Geochemistry and Health, 40(5), 2007–2020. https://doi.org/10.1007/s10653-017-0028-1.CrossRefGoogle Scholar
- Kuusisto, S., Lindroos, O., Rantio, T., Priha, E., & Tuhkanen, T. (2007). PCB contaminated dust on indoor surfaces–Health risks and acceptable surface concentrations in residential and occupational settings. Chemosphere, 67, 1194–1201. https://doi.org/10.1016/j.chemosphere.2006.10.060.CrossRefGoogle Scholar
- Li, X. D., Gao, Y. X., Kong, X. Q., & Zhang, Z. H. (2013). Health damage assessment of interior decorations based on the LCA methodology. Journal of Tsinghua University (Science and Technology), 53, 66–71. https://doi.org/10.16511/j.cnki.qhdxxb.2013.01.008.Google Scholar
- Li, X. D., Su, S., & Huang, T. J. (2015). Health damage assessment model for construction dust. Journal of Tsinghua University (Science and Technology), 55, 50–55. https://doi.org/10.16511/j.cnki.qhdxxb.2015.01.009.Google Scholar
- Liu, Y. Z., Ma, J. W., Yan, H. X., Ren, Y. Q., Wang, B. B., Lin, C. Y., et al. (2016). Bioaccessibility and health risk assessment of arsenic in soil and indoor dust in rural and urban areas of Hubei province, China. Ecotoxicology and Environmental Safety, 126, 14–22. https://doi.org/10.1016/j.ecoenv.2015.11.037.CrossRefGoogle Scholar
- Ministry of Health. (2004). Specifications of air sampling for hazardous substances monitoring in the workplace. GBZ 159-2004.Google Scholar
- Ministry of Health. (2007). Determination of dust in the air of workplace Part 1: Total dust concentration. GBZ/T 192-2007.Google Scholar
- Morteza, M. M., Hossein, K., Amirhossein, M., Naser, H., Gholamhossein, H., & Hossein, F. (2013). Designing, construction, assessment, and efficiency of local exhaust ventilation in controlling crystalline silica dust and particles, and formaldehyde in a foundry industry plant. Arhiv za Higijenu Rada i Toksikologiju, 64, 123–131. https://doi.org/10.2478/10004-1254-64-2013-2196.CrossRefGoogle Scholar
- Murray, C. J. (1994). Quantifying the burden of disease: the technical basis for disability-adjusted life years. Bulletin of the World Health Organization, 72, 429–445.Google Scholar
- National Bureau of Statistics of China. (2011). China Statistical Yearbook 2011. http://www.stats.gov.cn/tjsj/ndsj/2011/indexeh.htm. Accessed January 30, 2017.
- Omidianidost, A., Ghasemkhani, M., Kakooei, H., Shahtaheri, S. J., & Ghanbari, M. (2016). Risk assessment of occupational exposure to crystalline silica in small foundries in Pakdasht, Iran. Iranian Journal of Public Health, 45, 70–75.Google Scholar
- Paiman, N. A., Leman, A. M., Hariri, A., & Ismail, M. (2013). Respirable dust exposure: Symptoms and effect on lung function of industrial workers. Applied Mechanics and Materials, 465–466, 1196–1201. https://doi.org/10.4028/www.scientific.net/AMM.465-466.1196.CrossRefGoogle Scholar
- Peng, C., Cai, Y. M., Wang, T. Y., Xiao, R. B., & Chen, W. P. (2016). Regional probabilistic risk assessment of heavy metals in different environmental media and land uses: an urbanization-affected drinking water supply area. Scientific Reports, 6, 37084. https://doi.org/10.1038/srep37084.CrossRefGoogle Scholar
- Qi, C., Wu, J. B., Wu, K., Zhao, T. Q., Yao, H. L., Zheng, Y. Y., et al. (2011). Survey and analysis on occupational hazards in investment casting enterprise. Chinese Production Safety Science and Technology, 07, 181–184. https://doi.org/10.3969/j.issn.1673-193X.2011.11.035.Google Scholar
- Qiming, J. Y., Cao, Q., & Connell, D. W. (2012). An overall risk probability-based method for quantification of synergistic and antagonistic effects in health risk assessment for mixtures: Theoretical concepts. Environmental Science and Pollution Research, 19(7), 2627–2633. https://doi.org/10.1007/s11356-012-0878-0.CrossRefGoogle Scholar
- Riaz, M. A., Akhtar, T., Bari, A., Riaz, A., Mujtaba, G., Ali, M., et al. (2017). Heavy metals identification and exposure at workplace environment its extent of accumulation in blood of iron and steel recycling foundry workers of Lahore, Pakistan. Pakistan Journal of Pharmaceutical Sciences, 30, 1233–1238.Google Scholar
- Rosenman, K. D., Reilly, M. J., Rice, C., Hertzberg, V., Tseng, C. Y., & Anderson, H. A. (1996). Silicosis among foundry workers: Implication for the need to revise the OSHA standard. American Journal of Epidemiology, 144, 890–900. https://doi.org/10.1093/oxfordjournals.aje.a009023.CrossRefGoogle Scholar
- Song, G. J., Yang, L., Cheng, A. X., Guan, R. B., Shen, H. G., Qiang, T. W., et al. (2014). Measurement and analysis on the concentration of dust of various diameters in a foundry workshop. Applied Mechanics and Materials, 651–653, 455–459. https://doi.org/10.4028/www.scientific.net/amm.651-653.455.CrossRefGoogle Scholar
- Tamura, T., Suganuma, N., Hering, K. G., Vehmas, T., Itoh, H., Akira, M., et al. (2015). Relationships (I) of international classification of high-resolution computed tomography for occupational and environmental respiratory diseases with the ILO international classification of radiographs of pneumoconioses for parenchymal abnormalities. Industrial Health, 53, 260–270. https://doi.org/10.2486/indhealth.2014-0073.CrossRefGoogle Scholar
- Tong, R. P., Zhai, Y. B., Liu, X., Li, X. D., & Wang, W. J. (2013). A health damage evaluation method for coal mine dust in its life cycle. China Safety Science Journal, 23, 126–131. https://doi.org/10.16265/j.cnki.issn1003-3033.2013.11.008.Google Scholar
- USEPA. (1989). Risk-assessment guidance for Superfund. Human Health Evaluation Manual. Part A. Vol. 1. EPA/540/1-89/002. https://www.epa.gov/sites/production/files/2015-09/documents/rags_a.pdf. Accessed January 30, 2017.
- USEPA. (2003). Appendix A to 40 CFR, Part 423–126 Priority Pollutants. http://water.epa.gov/scitech/methods/cwa/pollutants.cfm. Accessed January 30, 2017.
- Van Deurssen, E., Pronk, A., Spaan, S., Goede, H., Tielemans, E., Heederik, D., et al. (2014). Quartz and respirable dust in the Dutch construction industry: A baseline exposure assessment as part of a multidimensional intervention approach. Annals of Occupational Hygiene, 58, 724–738. https://doi.org/10.1093/annhyg/meu021.Google Scholar
- Wang, L. H., Weng, S. F., Wen, S., Shi, T. M., Sun, G. T., Zeng, Y. Y., et al. (2013). Polychlorinated dibenzo-p-dioxins and dibenzofurans and their association with cancer mortality among workers in one automobile foundry factory. Science of the Total Environment, 443, 104–111. https://doi.org/10.1016/j.scitotenv.2012.10.073.CrossRefGoogle Scholar
- Wang, Z., Wang, S., Nie, J., Wang, Y., & Liu, Y. (2017). Assessment of polycyclic aromatic hydrocarbons in indoor dust from varying categories of rooms in Changchun city, Northeast China. Environmental Geochemistry and Health, 39(1), 15–27. https://doi.org/10.1007/s10653-016-9802-8.CrossRefGoogle Scholar
- Wang, Z. S., Duan, X. L., Liu, P., Nie, J., Huang, N., Zhang, J. L., et al. (2009). Human exposure factors of Chinese people in environmental health risk assessment. Research of Environmental Sciences, 22(10), 1164–1170. https://doi.org/10.13198/j.res.2009.10.54.wangzsh.006.Google Scholar
- Zhang, L. B., Wang, F. M., Ji, Y. Q., Jiao, J., Zou, D. K., Liu, L. L., et al. (2014). Phthalate esters (PAEs) in indoor PM10/PM2.5 and human exposure to PAEs via inhalation of indoor air in Tianjin. China Atmospheric Environment, 85, 139–146. https://doi.org/10.1016/j.atmosenv.2013.11.068.CrossRefGoogle Scholar
- Zhang, Z. H., & Wu, F. (2008). Health impairment due to building construction dust pollution. Journal of Tsinghua University (Science and Technology), 48(6), 922–925. https://doi.org/10.16511/j.cnki.qhdxxb.2008.06.001.Google Scholar