Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Am J Ind Med. 2021 May;64(5):381-397. doi: 10.1002/ajim.23229. Epub 2021 Feb 1.
Informal sector electronic waste (e-waste) recovery produces toxic emissions resulting from burning e-waste to recover valuable metals.
To identify high-risk worker groups by measuring relative levels of personal inhalation exposure to particulate matter (PM) of fine (≤2.5 µm) and coarse (2.5-10 µm) fractions (PM and PM respectively) across work activities among e-waste workers, and to assess how wind conditions modify levels of PM by activity and site location.
At the Agbogbloshie e-waste site, 170 partial-shift PM samples and time-activity data were collected from participants (N = 105) enrolled in the GeoHealth cohort study. Personal sampling included continuous measures of size-specific PM from the worker's breathing zone and time-activity derived from wearable cameras. Linear mixed models were used to estimate changes in personal PM and PM associated with activities and evaluate effect modification by wind conditions.
Mean (±standard deviation) personal PM and PM concentrations were 80 (± 81) and 123 (± 139) µg m , respectively. The adjusted mean PM concentration for burning e-waste was 88 µg m , a 28% increase above concentrations during non-recovery activities (such as eating). Transportation-related and burning activities were associated with the highest PM concentrations. Frequent changes in wind direction were associated with higher PM concentrations when burning, and high wind speeds with higher PM concentrations when dismantling e-waste downwind of the burning zone.
非正规部门电子废物(电子垃圾)回收会产生有毒排放物,这些排放物是通过燃烧电子垃圾来回收有价值的金属而产生的。
通过测量电子废物工人在不同工作活动中吸入的细颗粒物(PM )和粗颗粒物(PM )的个人相对吸入暴露水平,确定高风险工人群体,并评估风况如何通过活动和地点位置来改变 PM 的水平。
在阿格博格布洛西电子垃圾场,从参与 GeoHealth 队列研究的 105 名参与者中收集了 170 个部分班次 PM 样本和时间活动数据。个人采样包括从工人呼吸区连续测量特定尺寸的 PM 以及来自可穿戴摄像机的时间活动数据。线性混合模型用于估计与活动相关的个人 PM 和 PM 的变化,并评估风况的影响修饰作用。
个人 PM 和 PM 的平均(±标准偏差)浓度分别为 80(±81)和 123(±139)μg/m³。燃烧电子垃圾的调整后 PM 浓度为 88μg/m³,比非回收活动(如进食)期间的浓度高 28%。与运输和燃烧相关的活动与最高的 PM 浓度有关。当燃烧时,风向频繁变化与更高的 PM 浓度有关,而当在燃烧区下风处拆卸电子垃圾时,高风速与更高的 PM 浓度有关。