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Characteristics of Particulate Matter Generated while Handling Municipal Household Waste

机译：处理市政家庭垃圾时产生的颗粒物质的特征

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Objectives: 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. Methods: 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), PM_(10), respirable particulate matter (RPM), PM_(2.5) and PM_1. Twenty-eight data sets with 3,071 subsets recorded every 6 sec were categorized according to occupational and environmental 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. Results: The average levels of PM_(10) and PM_(2.5) greatly exceeded the air-quality levels enforced by the Korean Ministry of the Environment. The highest PM_(2.5) fine-particle levels monitored were during waste-transfer work, while the highest IPM and PM_(10) coarse-particle levels monitored were during waste-sorting work. The type of waste-collection activity was the only factor that significantly affected both PM_(2.5) and IPM, accounting for 36% (p=0.0034) and 40% (p=0.0049), respectively, of the observed variations. None of the factors affected PM_(10) or RPM levels. Conclusions: Waste-collection and Waste-transfer work may be associated with the generation of high levels of fine PM, which can be influenced by environmental conditions such as traffic levels and the type of waste transport vehicle.
机译：目的：该研究进行了评估废物收集和分类期间产生的颗粒物质（PM）的尺寸特征，并评估废物处理活性的类型对粗细胞水平的影响。方法：使用便携式气溶胶光谱仪校准为1.2 //min，用于监测在四种类型的废物处理活动期间产生的PM。测量的PM的类型包括可吸入颗粒物质（IPM），PM_（10），可吸入颗粒物质（RPM），PM_（2.5）和PM_1。每6秒记录3,071个子集的二十八种数据集按职业和环境分类进行分类，包括废物处理活动的类型。 ANOVA用于比较由尺寸表征的PM级别。具有p值<0.25的显着变量包含在多元回归模型中，用于预测每个PM的水平。结果：PM_（10）和PM_（2.5）的平均水平大大超过了韩国环境部强制执行的空气质量水平。监测的最高PM_（2.5）微粒水平在废物转移工作期间，而监测的最高IPM和PM_（10）粗颗粒水平在废物分选工作期间。废物收集活性的类型是显着影响PM_（2.5）和IPM的唯一因素，分别占观察到的变化的36％（P = 0.0034）和40％（P = 0.0049）。这些因素都没有受影响PM_（10）或RPM水平。结论：废物收集和废物转移工作可能与高水平PM的产生相关，这可能受到交通水平和废物运输车辆类型的环境条件的影响。

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