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Quantitative health risk assessment of inhalation exposure to automobile foundry dust

  • Ruipeng TongEmail author
  • Mengzhao Cheng
  • Xiaofei Ma
  • Yunyun Yang
  • Yafei Liu
  • Jianfeng LiEmail author
Original Paper

Abstract

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.

Keywords

Automobile foundry Dust Health risk assessment Disability-adjusted life year Monte Carlo simulation 

Notes

Acknowledgements

The study was financially supported by the National Natural Science Foundation of China (No. 51674268).

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© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.School of Emergency Management and Safety EngineeringChina University of Mining and Technology (Beijing)BeijingChina
  2. 2.Baic Motor Corporation, Ltd.Baic GroupBeijingChina
  3. 3.School of Environment, Guangzhou Key Laboratory of Environmental Exposure and Health, and Guangdong Key Laboratory of Environmental Pollution and HealthJinan UniversityGuangzhouChina

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