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Emissions from baled municipal solid waste: I. Methodological approach for investigation of gaseous emissions

机译:打包的城市固体废物的排放:I.调查气体排放的方法学方法

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This paper presents a methodological approach for the study of volatile organic compounds (VOCs) in air, emitted during storage of municipal solid waste in bales. Determination of VOCs was based on sampling with adsorbent tubes followed by automated analysis using on-line work-up with a thermal desorption unit directly connected to a gas chromatograph-mass spectrometer. Using calculation algorithms and multidimensional statistical analysis of large amounts of data collected, the information was compressed and visualized. The approach was applied to initial measurements of emissions of VOCs from 24 bales composed of municipal solid waste, each bale stored in a wooden box. These bales were produced using the two types of baling equipment available, resulting in cylindrical or rectangular bales, with different densities. Hundreds of different VOCs emitted from these bales sorted out into groups with different chemical structure. Differences in VOC concentrations in air were found between wastes stored in cylindrical or rectangular bales. For instance, it was found that the concentration of VOCs (relative to the concentration of toluene), in the first experiment after storing, for cylindrical bales with six layers of LDPE was 115 ± 10 μg m~(-3), while for rectangular bales it was only 64 ± 8 μg m~(-3) . The procedure used for data interpretation suggested different degradation mechanisms in different types of bales. The use of multiple data interfaces, multidimensional statistics and automated chemical analysis methods are likely to be more and more common for waste companies and waste research in the near future. This is due to the interdisciplinary nature of the subject that relies heavily on various areas of science and information technology.
机译:本文提出了一种方法学方法,用于研究在将城市固体废物存储在大包中时排放的空气中的挥发性有机化合物(VOC)。挥发性有机化合物的测定是基于用吸附剂管取样,然后使用在线连接自动处理的热分析仪进行的自动分析,该仪直接连接到气相色谱-质谱仪上。使用计算算法和对收集到的大量数据进行多维统计分析,可以对信息进行压缩和可视化。该方法已应用于24包由城市固体废物组成的捆包中的VOC排放的初始测量,每个包都存储在一个木箱中。这些棉包是使用两种可用的打包设备生产的,结果是具有不同密度的圆柱形或矩形棉包。从这些棉包中散发出的数百种不同的VOC分为具有不同化学结构的组。发现存储在圆柱形或矩形捆包中的废物之间的空气中VOC浓度存在差异。例如,发现在储存后的第一个实验中,具有六层LDPE的圆柱形棉包的VOC浓度(相对于甲苯的浓度)为115±10μgm〜(-3),而对于矩形捆只有64±8μgm〜(-3)。用于数据解释的程序建议在不同类型的包中使用不同的降级机制。在不久的将来,对于废物公司和废物研究来说,使用多种数据接口,多维统计数据和自动化学分析方法可能越来越普遍。这是由于该学科的跨学科性质严重依赖于科学和信息技术的各个领域。

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