风重悬浮对城市空气质量的影响:CFD研究与空气质量数据对比

IF 8.4 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES npj Climate and Atmospheric Science Pub Date : 2025-02-25 DOI:10.1038/s41612-025-00969-2
Jakub Linda, Amra Hasečić, Jiří Pospíšil, Libor Kudela, Jáchym Brzezina
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引用次数: 0

摘要

风致颗粒物(PM)再悬浮是引起城市空气污染的重要因素。建立了一个二维街道峡谷几何模型,可以复制再悬浮过程。模型建立了因再悬浮引起的风速与浓度增加的关系及其关键特性:引起再悬浮的阈值风速(TWSR)和浓度增加。街道峡谷前10 m高度的入口风速至少需要8.75 m/s才能启动再悬浮,导致PM10浓度经常超过1 μg/m³,峰值可达3 μg/m³。该模型能较好地预测再悬浮的行为,但不能捕获在真实环境中起作用的所有因素,以精确匹配空气质量数据。淤泥负荷仍然是决定再悬浮总体程度的最大未知因素,空气质量数据中观察到的PM10浓度增加高达6 μg/m³。
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Impact of wind-induced resuspension on urban air quality: a CFD study with air quality data comparison

Wind-induced particulate matter (PM) resuspension is an increasingly recognized contributor to urban air pollution. A CFD model of 2D street canyon geometry was developed that can replicate the process of resuspension. Model created the wind speed vs concentration increase due to resuspension relationship and its key properties: threshold wind speed causing resuspension (TWSR) and concentration increase. At least 8.75 m/s in 10 m height inlet wind speed before street canyons was needed to start the resuspension, leading to PM10 concentrations often exceeding 1 μg/m³, with peak values reaching as high as 3 μg/m³. The model can predict the behavior of resuspension well, but it cannot capture all the factors acting in the real environment to match precisely the air quality data. Silt load remains the greatest unknown factor in determining the overall magnitude of resuspension, with observed increases in PM10 concentrations up to 6 μg/m³ in air quality data.

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来源期刊
npj Climate and Atmospheric Science
npj Climate and Atmospheric Science Earth and Planetary Sciences-Atmospheric Science
CiteScore
8.80
自引率
3.30%
发文量
87
审稿时长
21 weeks
期刊介绍: npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols. The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.
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