School of Environmental Art, Hubei Institute of Fine Arts, Wuhan, 430202, China.
Department of Biology Sciences, Institute of Environment Sciences, University of Quebec at Montreal, 2098 Rue Kimberley, Montreal, QC, H3C 3P8, Canada.
Environ Monit Assess. 2024 Sep 19;196(10):953. doi: 10.1007/s10661-024-13104-0.
Time-varying characteristics of particulate matter (PM) pollution play a crucial role in shaping atmospheric dynamics, which impact the health and welfare of urban commuters. Previously published studies on the diurnal patterns of PMs are not consistent, especially in the context of field experiments in central China, and most field studies have only focused on particles with a single particle size. This study conducted regional-scale studies across 72 street canyon sets in Wuhan, China, investigated diurnal and seasonal PM concentration variations while also evaluating various PM size and the key driving factors. During summer (July, August, and September), evergreen tree-lined street canyons maintained a stable linear trend for smaller d particulates (i.e., PM, PM, and PM), while deciduous street canyons exhibited a bimodal distribution. In winter (January and February), fine particulates (i.e., PM and PM) remained a linear trend in evergreen street canyons, while deciduous street canyons show a slightly wavy fluctuating pattern. Meanwhile, it exhibited quadrimodal-peak and triple-trough patterns in both PM, PM, and TSP concentrations. The lowest PM concentrations were observed between 14:00 and 16:00 for all particle sizes, with decreased summer pollution (7.81% lower in PM, 53.47% lower in PM, and 50.3% lower in TSP) noted in our seasonal analysis. Among the various meteorological factors, relative humidity (RH) was identified as the dominant influencing PM factor in both summer and winter. Results from this study will help us better understand field-based air pollutant dispersion processes within pedestrian spaces while laying the groundwork for future research into street PM experiments.
颗粒物(PM)污染的时变特征在塑造大气动力方面起着至关重要的作用,这会影响城市通勤者的健康和福利。先前关于 PM 日变化模式的研究结果并不一致,特别是在中国中部的现场实验中,并且大多数现场研究仅关注单一粒径的颗粒。本研究在中国武汉的 72 个街道峡谷组进行了区域尺度的研究,调查了 PM 浓度的日变化和季节变化,并评估了各种 PM 粒径和关键驱动因素。在夏季(7 月、8 月和 9 月),常绿树木林立的街道峡谷对较小粒径的 d 颗粒物(即 PM 、PM 和 PM )保持稳定的线性趋势,而落叶树木林立的街道峡谷呈双峰分布。在冬季(1 月和 2 月),常绿街道峡谷中细颗粒物(即 PM 和 PM )保持线性趋势,而落叶街道峡谷呈略微波动的波动模式。同时,在 PM 、PM 和 TSP 浓度方面表现出四峰-三谷模式。所有粒径的 PM 浓度均在 14:00 至 16:00 之间达到最低,季节性分析表明夏季污染减少(PM 降低 7.81%,PM 降低 53.47%,TSP 降低 50.3%)。在各种气象因素中,相对湿度(RH)被确定为夏季和冬季影响 PM 的主要因素。本研究的结果将帮助我们更好地了解行人空间中基于现场的空气污染物扩散过程,并为未来的街道 PM 实验研究奠定基础。