气候变化领域集成服务门户(CCPortal): Development and application of a multi-scale modeling framework for urban high-resolution NO2 pollution mapping

CCPortal

DOI	10.5194/acp-22-15685-2022
	Development and application of a multi-scale modeling framework for urban high-resolution NO2 pollution mapping
	Lv, Zhaofeng; Luo, Zhenyu; Deng, Fanyuan; Wang, Xiaotong; Zhao, Junchao; Xu, Lucheng; He, Tingkun; Zhang, Yingzhi; Liu, Huan; He, Kebin
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	15685
结束页码	15702
卷号	22 期号:24 页码:18
英文摘要	Vehicle emissions have become a major source of air pollution in urban areas, especially for near-road environments, where the pollution characteristics are difficult to capture by a single-scale air quality model due to the complex composition of the underlying surface. Here we developed a hybrid model CMAQ-RLINE_URBAN to quantitatively analyze the effects of vehicle emissions on urban roadside NO2 concentrations at a high spatial resolution of 50 m x 50 m. To estimate the influence of various street canyons on the dispersion of air pollutants, a machine-learning-based street canyon flow (MLSCF) scheme was established based on computational fluid dynamics and two machine learning methods. The results indicated that compared with the Community Multi-scale Air Quality (CMAQ) model, the hybrid model improved the underestimation of NO2 concentration at near-road sites with the mean bias (MB) changing from -10 to 6.3 mu g m(-3). The MLSCF scheme obviously increased upwind concentrations within deep street canyons due to changes in the wind environment caused by the vortex. In summer, the relative contribution of vehicles to NO2 concentrations in Beijing urban areas was 39 % on average, similar to results from the CMAQ-ISAM (Integrated Source Apportionment Method) model, but it increased significantly with the decreased distance to the road centerline, especially on urban freeways, where it reached 75 %.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000898082500001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273805
作者单位	Tsinghua University; Chengdu University of Technology
推荐引用方式 GB/T 7714	Lv, Zhaofeng,Luo, Zhenyu,Deng, Fanyuan,et al. Development and application of a multi-scale modeling framework for urban high-resolution NO2 pollution mapping[J],2022,22(24):18.
APA	Lv, Zhaofeng.,Luo, Zhenyu.,Deng, Fanyuan.,Wang, Xiaotong.,Zhao, Junchao.,...&He, Kebin.(2022).Development and application of a multi-scale modeling framework for urban high-resolution NO2 pollution mapping.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(24),18.
MLA	Lv, Zhaofeng,et al."Development and application of a multi-scale modeling framework for urban high-resolution NO2 pollution mapping".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.24(2022):18.