Prediction and quantification of occupational health risk in road construction workers exposed to asphalt emissions

被引:6
作者
Chong, Dan [1 ]
Wang, Chong [1 ]
Hao, Gengren [2 ,3 ]
Jia, Siqi [4 ]
Guo, Xiaobo [1 ]
机构
[1] Shanghai Univ, Sch Management, Shanghai 201900, Peoples R China
[2] Shenzhen Univ, Inst Urban Smart Transportat & Safety Maintenance, Coll Civil & Transportat Engn, Shenzhen 518060, Peoples R China
[3] Shenzhen Univ, Natl Key Lab Green & Long Life Rd Engn Extreme Env, Shenzhen 518060, Peoples R China
[4] Hong Kong Polytech Univ, Hung Hom, Kowloon, Hong Kong 100872, Peoples R China
基金
中国国家自然科学基金;
关键词
Asphalt emissions; Computational fluid dynamics (CFD); simulation; Occupational health risk; Mitigation measures; POLYCYCLIC AROMATIC-COMPOUNDS; TOTAL ORGANIC-MATTER; PAVING WORKERS; AIRBORNE EXPOSURES; BITUMEN; FUMES; VENTILATION; HAZARDS;
D O I
10.1016/j.jclepro.2023.140328
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Asphalt emissions, which are released during asphalt pavement construction, pose adverse health effects on construction workers. While previous studies have primarily focused on post hoc health risk assessments, limited research has aimed to predict occupational health risk in advance, a crucial step in providing mitigation recommendations for workers before they begin their tasks. This study endeavors to develop a predictive model for evaluating occupational health risk arising from exposure to asphalt emissions in road construction. The model is grounded in a validated Computational Fluid Dynamics (CFD) simulation approach and accounts for the influence of on-site mitigation measures. Our findings demonstrate that paver operators face the highest health risks, followed by screedmen and rakers. Additionally, engineering controls hold the most significant weight in preventing on-site health risk (weighted at 0.5396), followed by administrative actions (weighted at 0.2970), and personal protective equipment (weighted at 0.1634). Moreover, a decrease in the emission source temperature and an increase in ventilation conditions on-site can reduce the value of workers' health risk. Overall, the model developed in this study can be adapted for diverse construction projects, providing a real-time framework to assess and implement mitigation measures in advance.
引用
收藏
页数:11
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