通过探索基于新模型的因子研究估算地铁地下站台的可吸入颗粒物水平

IF 3.8 Q2 ENVIRONMENTAL SCIENCES Atmospheric Environment: X Pub Date : 2024-04-01 DOI:10.1016/j.aeaoa.2024.100261
Minghui Tu, Ulf Olofsson
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引用次数: 0

摘要

近几十年来,空气中的颗粒物对人类健康的不利影响受到了广泛关注。在地下地铁系统中,地下月台上可吸入颗粒物浓度的升高可能会造成严重的公共健康问题。本研究通过统计建模探讨了引入新型列车对地铁地下站台空气中颗粒物浓度的影响,分析了各种因素之间的相互作用,并估计了引入新型列车后地下站台的空气质量。根据长期实地测量的数据,采用线性混合模型,即多因素交互模型(对之前的多因素模型进行了扩展),探讨了列车运行、客流量、城市背景 PM 水平、通风、夜间维护工作及其交互作用对站台上每小时 PM10、PM2.5 和 PM1 值的影响。模型结果显示,这些因素与站台 PM10、PM2.5 和 PM1 值之间呈正相关,且这些因素之间存在显著的相互作用。与之前的模型相比,新模型的估计质量更高。根据模型和测量结果的结合,在用新型列车替换旧型列车后,地下 PM 的水平明显下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Estimating PM levels on an underground metro platform by exploring a new model-based factor research

Over recent decades, the adverse impacts of airborne particles on human health have received wide attention. Elevated PM concentrations on underground platforms might pose a significant public health issue within underground metro systems. This study explores the impact of introducing a new type of train on the concentration of airborne particles on an underground metro platform through statistical modelling, analyses interactions between various factors, and estimates air quality on underground platforms after introducing a new type of train. Based on the data from a long-term field measurement, a linear mixed model, the multi-factor interaction model, which is an expansion of a previous multi-factor model, explored the impacts of train operations, passenger flow, urban background PM levels, ventilation, nighttime maintenance work, and their interactions on hourly PM10, PM2.5, and PM1 values on the platform. The model results show a positive correlation between those factors and platform PM10, PM2.5 and PM1 values, with significant interactions among these factors. The new model has a higher estimate quality than the previous model. Based on the combination of the model and measurement results, the levels of underground PM decreased significantly after replacing the old type of trains with new ones.

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来源期刊
Atmospheric Environment: X
Atmospheric Environment: X Environmental Science-Environmental Science (all)
CiteScore
8.00
自引率
0.00%
发文量
47
审稿时长
12 weeks
期刊最新文献
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