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模拟城市街道峡谷各腔室内交通诱导的多组分超细颗粒:抑制混合的因素。

Modelling traffic-induced multicomponent ultrafine particles in urban street canyon compartments: Factors that inhibit mixing.

机构信息

School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.

School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.

出版信息

Environ Pollut. 2018 Jul;238:186-195. doi: 10.1016/j.envpol.2018.03.002. Epub 2018 Mar 20.

DOI:10.1016/j.envpol.2018.03.002
PMID:29554566
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5971220/
Abstract

This study implements a two-box model coupled with ultrafine particle (UFP) multicomponent microphysics for a compartmentalised street canyon. Canyon compartmentalisation can be described parsimoniously by three parameters relating to the features of the canyon and the atmospheric state outside the canyon, i.e. the heterogeneity coefficient, the vortex-to-vortex exchange velocity, and the box height ratio. The quasi-steady solutions for the two compartments represent a balance among emissions, microphysical aerosol dynamics (i.e. evaporation/condensation of semi-volatiles, SVOCs), and exchange processes, none of which is negligible. This coupled two-box model can capture significant contrasts in UFP number concentrations and a measure of the volatility of the multi-SVOC-particles in the lower and upper canyon. Modelled ground-level UFP number concentrations vary across nucleation, Aitken, and accumulation particle modes as well-defined monotonic functions of canyon compartmentalisation parameters. Compared with the two-box model, a classic one-box model (without canyon compartmentalisation) leads to underestimation of UFP number concentrations by several tens of percent typically. By quantifying the effects of canyon compartmentalisation, this study provides a framework for understanding how canyon geometry and the presence of street trees, street furniture, and architectural features interact with the large-scale atmospheric flow to determine ground-level pollutant concentrations.

摘要

本研究采用双箱模型与超细颗粒(UFP)多组份微物理相结合,对分隔式街道峡谷进行研究。峡谷分隔可以通过与峡谷特征和峡谷外大气状态相关的三个参数来简洁地描述,即不均匀系数、涡旋对涡旋交换速度和箱高比。两个隔室的准稳态解代表了排放物、气溶胶微物理动力学(即半挥发性有机化合物(SVOC)的蒸发/冷凝)和交换过程之间的平衡,其中任何一个都不容忽视。这种耦合的双箱模型可以捕捉到 UFP 数浓度的显著差异,以及多 SVOC 颗粒在峡谷下部和上部的挥发性的衡量。模型化的地面 UFP 数浓度在成核、艾肯和积聚粒子模式下变化,作为峡谷分隔参数的明确定义的单调函数。与双箱模型相比,经典的单箱模型(没有峡谷分隔)通常会低估数十个百分点的 UFP 数浓度。通过量化峡谷分隔的影响,本研究提供了一个理解峡谷几何形状以及街道树木、街道家具和建筑特征如何与大尺度大气流相互作用来确定地面污染物浓度的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/5971220/9a315bada943/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/5971220/6f681a0575a6/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/5971220/64142ac03c72/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/5971220/ac4da8dc7568/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/5971220/860197ba744b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/5971220/e9c7a6998f31/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/5971220/9a315bada943/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/5971220/6f681a0575a6/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/5971220/64142ac03c72/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/5971220/ac4da8dc7568/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/5971220/860197ba744b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/5971220/e9c7a6998f31/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/5971220/9a315bada943/gr5.jpg

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