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本文引用的文献

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Air Quality Impacts at an E-Waste Site in Ghana Using Flexible, Moderate-Cost and Quality-Assured Measurements.利用灵活、成本适中且质量有保证的测量方法评估加纳一个电子垃圾场的空气质量影响
Geohealth. 2020 Aug 1;4(8):e2020GH000247. doi: 10.1029/2020GH000247. eCollection 2020 Aug.
2
Derivation of Time-Activity Data Using Wearable Cameras and Measures of Personal Inhalation Exposure among Workers at an Informal Electronic-Waste Recovery Site in Ghana.利用可穿戴摄像机和个人吸入暴露测量在加纳非正规电子废物回收场的工人中推导时间-活性数据。
Ann Work Expo Health. 2019 Oct 11;63(8):829-841. doi: 10.1093/annweh/wxz056.
3
A relative risk assessment of the open burning of WEEE.电子废物露天焚烧的相对风险评估。
Environ Sci Pollut Res Int. 2019 Apr;26(11):11042-11052. doi: 10.1007/s11356-019-04282-3. Epub 2019 Feb 21.
4
Assessment of air pollution caused by illegal e-waste burning to evaluate the human health risk.评估非法电子垃圾燃烧造成的空气污染以评估人类健康风险。
Environ Int. 2019 Apr;125:191-199. doi: 10.1016/j.envint.2018.11.051. Epub 2019 Feb 2.
5
Stress, health, noise exposures, and injuries among electronic waste recycling workers in Ghana.加纳电子垃圾回收工人的压力、健康、噪声暴露及伤害情况
J Occup Med Toxicol. 2019 Jan 10;14:1. doi: 10.1186/s12995-018-0222-9. eCollection 2019.
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Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.全球、区域和国家 84 种行为、环境、职业和代谢风险以及 195 个国家和地区 1990 至 2017 年风险簇的比较风险评估:全球疾病负担研究 2017 系统分析。
Lancet. 2018 Nov 10;392(10159):1923-1994. doi: 10.1016/S0140-6736(18)32225-6. Epub 2018 Nov 8.
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Outdoor Air Pollution.室外空气污染
IARC Monogr Eval Carcinog Risks Hum. 2016;109:9-444.
8
Prevention-intervention strategies to reduce exposure to e-waste.预防-干预策略,以减少接触电子废物。
Rev Environ Health. 2018 Jun 27;33(2):219-228. doi: 10.1515/reveh-2018-0014.
9
Source characterization and risk of exposure to atmospheric polychlorinated biphenyls (PCBs) in Ghana.加纳大气多氯联苯(PCBs)的源特征及暴露风险。
Environ Sci Pollut Res Int. 2018 Jun;25(17):16316-16324. doi: 10.1007/s11356-018-2090-3. Epub 2018 Apr 29.
10
Has the question of e-waste opened a Pandora's box? An overview of unpredictable issues and challenges.电子垃圾问题是否打开了潘多拉的盒子?不可预测的问题和挑战概述。
Environ Int. 2018 Jan;110:173-192. doi: 10.1016/j.envint.2017.10.021. Epub 2017 Nov 6.

加纳电子废物回收工人减少个人吸入空气污染暴露的机会和挑战。

Opportunities and challenges in reducing personal inhalation exposure to air pollution among electronic waste recovery workers in Ghana.

机构信息

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.

出版信息

Am J Ind Med. 2021 May;64(5):381-397. doi: 10.1002/ajim.23229. Epub 2021 Feb 1.

DOI:10.1002/ajim.23229
PMID:33522624
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8046737/
Abstract

BACKGROUND

Informal sector electronic waste (e-waste) recovery produces toxic emissions resulting from burning e-waste to recover valuable metals.

OBJECTIVES

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.

METHODS

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.

RESULTS

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.

摘要

背景

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。

目的

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。

方法

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。

结果

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。