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系统方法用于描述和评估非致命性伤害和疾病对职业健康影响的因素,用于生命周期评估。

System Approach for Characterizing and Evaluating Factors for Occupational Health Impacts Due to Nonfatal Injuries and Illnesses for the Use in Life Cycle Assessment.

机构信息

College of the Environment and Ecology, Xiamen University, Xiamen, Fujian 361102, China.

École Polytechnique de Montréal, Montreal, Quebec H3C 3A7, Canada.

出版信息

Environ Sci Technol. 2023 Aug 15;57(32):11738-11749. doi: 10.1021/acs.est.3c00188. Epub 2023 Jul 25.

Abstract

Occupational injuries and illnesses are major risk factors for human health impacts worldwide, but they have not been consistently nor comprehensively considered in life cycle impact assessment (LCIA) methods. In this study, we quantified occupational health impacts as disability-adjusted life years (DALYs) for nonfatal injuries and illnesses in all US industries. We further applied an economic input-output model of the US economy to develop a new data set of characterization factors (CFs) that links direct and indirect occupational health impacts to product life cycle final demand. We found that the CF data set varies significantly by industry, ranging from 6.1 to 298 DALYs per billion dollars. About 20% of final demand in the US economic system contributes nearly 50% of the total impacts of occupational health, suggesting occupational health impacts are concentrated in a small portion of industries. To verify the feasibility of the CFs and demonstrate their importance, we included a case of an office chair. The occupational health impacts caused by nonfatal injuries and illnesses during the production of an office chair are of the same order of magnitude as those caused by chemical emissions across the chair's life cycle, with 1.1 × 10 and 1.4 × 10 DALYs per chair, respectively. Results and data sets derived from this study support the integration of occupational health impacts with LCIA methods.

摘要

职业伤害和疾病是全球人类健康影响的主要风险因素,但在生命周期影响评估 (LCIA) 方法中,这些因素并未得到一致和全面的考虑。在这项研究中,我们将非致命性伤害和疾病的残疾调整生命年 (DALY) 量化为美国所有行业的职业健康影响。我们进一步应用了美国经济的经济投入产出模型,开发了一个新的特征化因子 (CF) 数据集,将直接和间接职业健康影响与产品生命周期最终需求联系起来。我们发现,该数据集因行业而异,范围从每十亿美元 6.1 到 298 DALY。美国经济系统中约 20%的最终需求贡献了职业健康总影响的近 50%,这表明职业健康影响集中在一小部分行业。为了验证 CF 的可行性并展示其重要性,我们纳入了一个办公椅的案例。在生产办公椅过程中造成的非致命性伤害和疾病所导致的职业健康影响,与整个椅子生命周期的化学排放所造成的影响处于同一数量级,分别为每把椅子 1.1×10 和 1.4×10 DALY。本研究得出的结果和数据集支持将职业健康影响与 LCIA 方法相结合。

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