Coupled mesoscale–microscale modeling of air quality in a polluted city using WRF-LES-Chem
-
Published:2023-05-30
Issue:10
Volume:23
Page:5905-5927
-
ISSN:1680-7324
-
Container-title:Atmospheric Chemistry and Physics
-
language:en
-
Short-container-title:Atmos. Chem. Phys.
Author:
Wang YutingORCID, Ma Yong-FengORCID, Muñoz-Esparza Domingo, Dai Jianing, Li Cathy Wing YiORCID, Lichtig PabloORCID, Tsang Roy Chun-Wang, Liu Chun-Ho, Wang TaoORCID, Brasseur Guy PierreORCID
Abstract
Abstract. To perform realistic high-resolution air quality modeling in a
polluted urban area, the Weather Research and Forecasting (WRF) model is
used with an embedded large-eddy simulation (LES) module and online
chemistry. As an illustration, a numerical experiment is conducted in the
megacity of Hong Kong, which is characterized by multi-type inhomogeneous
pollution sources and complex topography. The results from the
multi-resolution simulations at mesoscale and LES scales are evaluated by
comparing them with ozone sounding profiles and surface observations. The
comparisons show that both mesoscale and LES simulations reproduce the
mean concentrations of the chemical species and their diurnal variations at
the background stations well. However, the mesoscale simulations largely
underestimate the NOx concentrations and overestimate O3 at the
roadside stations due to the coarse representation of the traffic emissions.
The LES simulations improve the agreement with the measurements near the
road traffic, and the LES with the highest spatial resolution (33.3 m)
provides the best results. The large-eddy simulations show more detailed
structures in the spatial distributions of chemical species than the
mesoscale simulations, highlighting the capability of LES to resolve
high-resolution photochemical transformations in urban areas. Compared to
the mesoscale model results, the LES simulations show similar evolutions in
the profiles of the chemical species as a function of the boundary layer
development over a diurnal cycle.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference58 articles.
1. Baik, J.-J., Park, S.-B., and Kim, J.-J.: Urban flow and dispersion
simulation using a CFD model coupled to a mesoscale model, J. Appl.
Meteorol. Clim., 48, 1667–1681,
https://doi.org/10.1175/2009JAMC2066.1, 2009. 2. Barzyk, T. M., Isakov, V., Arunachalam, S., Venkatram, A., Cook, R., and
Naess, B.: A near-road modeling system for community-scale assessments
of traffic-related air pollution in the United States, Environ. Modell. Softw., 66, 46–56, https://doi.org/10.1016/j.envsoft.2014.12.004, 2015. 3. Batterman, S., Chambliss, S., and Isakov, V.: Spatial resolution
requirements for traffic-related air pollutant exposure evaluations, Atmos.
Environ., 94, 518–528, https://doi.org/10.1016/j.atmosenv.2014.05.065,
2014. 4. Beare, R. J.: The role of shear in the morning transition boundary layer,
Bound.-Lay. Meteorol., 129, 395–410,
https://doi.org/10.1007/s10546-008-9324-8, 2008. 5. Bian, Y., Huang, Z., Ou, J., Zhong, Z., Xu, Y., Zhang, Z., Xiao, X., Ye, X., Wu, Y., Yin, X., Li, C., Chen, L., Shao, M., and Zheng, J.: Evolution of anthropogenic air pollutant emissions in Guangdong Province, China, from 2006 to 2015, Atmos. Chem. Phys., 19, 11701–11719, https://doi.org/10.5194/acp-19-11701-2019, 2019.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|