Park Donguk, Lee Kyeongmin, Ryu Seunghun, Kim Shinbum, Yoon Chungsik, Ha Kwonchul
Department of Environmental Health, Korea National Open University.
J Occup Health. 2013;55(6):503-10. doi: 10.1539/joh.13-0166-fs. Epub 2013 Oct 26.
This study was conducted to assess the size characteristics of particulate matter (PM) generated during waste collection and sorting, and to assess the effect of the type of waste-handling activity on levels of coarse and fine PM.
A portable aerosol spectrometer calibrated to 1.2 //min was used to monitor PM generated during four types of waste-handling activities. The types of PM measured included inhalable particulate matter (IPM), PM10, respirable particulate matter (RPM), PM2.5 and PM1. Twenty-eight data sets with 3,071 subsets recorded every 6 sec were categorized according to occupational and environmen¬tal classifications, including type of waste-handling activity. An ANOVA was used to compare PM levels characterized by size. Significant variables with p-values <0.25 were included in a multiple regression model for predicting levels of each PM.
The average levels of PM10 and PM2.5 greatly exceeded the air-quality levels enforced by the Korean Ministry of the Environment. The highest PM2.5 fine-particle levels monitored were during waste-transfer work, while the highest IPM and PM10 coarse-particle levels monitored were during waste-sorting work. The type of waste-collection activity was the only factor that significantly affected both PM25 and IPM, accounting for 36% (p=0.0034) and 40% (p=0.0049), respectively, of the observed variations. None of the factors affected PM10 or RPM levels.
Waste-collection and Waste-transfer work may be associated with the generation of high levels of fine PM, which can be influenced by environ Workmental conditions such as traffic levels and the type of waste transport vehicle.
本研究旨在评估垃圾收集和分类过程中产生的颗粒物(PM)的大小特征,并评估垃圾处理活动类型对粗颗粒物和细颗粒物水平的影响。
使用一台校准为1.2 //min的便携式气溶胶光谱仪监测四种垃圾处理活动中产生的PM。所测量的PM类型包括可吸入颗粒物(IPM)、PM10、可吸入颗粒物(RPM)、PM2.5和PM1。根据职业和环境分类,包括垃圾处理活动类型,对每6秒记录一次的28个数据集(共3071个子集)进行分类。使用方差分析比较不同大小特征的PM水平。p值<0.25的显著变量被纳入多元回归模型,以预测每种PM的水平。
PM10和PM2.5的平均水平大大超过了韩国环境部规定的空气质量水平。监测到的最高PM2.5细颗粒物水平出现在垃圾转运工作期间,而监测到的最高IPM和PM10粗颗粒物水平出现在垃圾分类工作期间。垃圾收集活动的类型是唯一显著影响PM2.5和IPM的因素,分别占观察到的变化的36%(p = 0.0034)和40%(p = 0.0049)。没有任何因素影响PM10或RPM水平。
垃圾收集和垃圾转运工作可能与高水平的细颗粒物产生有关,这可能受到交通水平和垃圾运输车辆类型等环境条件的影响。