云下湿清除作用对长三角PM<sub>2.5</sub>模拟的影响

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Abstract

A parameterization scheme for blow-cloud wet scavenging (BWS) was developed and implemented into the Regional Atmospheric Environmental Modeling System for eastern China (RAEMS) to analyze the effect of BWS on the simulation accuracy of PM_2.5 over the Yangtze River Delta (YRD) region. Simulations with RAEMS were conducted for the period of Dec. 1^st, 2018 through Feb. 28^th, 2019. The results showed that RAEMS succeeded in simulating the amount of precipitation and PM_2.5 concentration over the YRD region, as well as their spatial pattern and temporal trend. A better performance of PM_2.5 simulation was found with the BWS effect included. The mean bias (MB), mean error (ME) and root mean square error (RMSE) decreased by 4.85, 1.72 and 2.35μg/m³, respectively. The normalized mean bias (NMB) and normalized mean error (NME) reduced by 14% and 8%, respectively. The model performance is improved at about 90% cities. The introduction of BWS effect to RAEMS reduced the modeled PM_2.5 concentration with the increase of precipitation intensity, which improved RAEMS in terms of wet scavenging processes. The disadvantage was found that the BWS effect exacerbates underestimation of PM_2.5 concentration at some YRD cities and it may be related to model bias of other processes.

Key words： PM_2.5 below-cloud wet scavenging wet scavenging precipitation WRF-Chem

Received: 10 December 2019

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X513

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	Articles by authors
	ZHOU Guang-qiang
	QU Yuan-hao
	GAO Wei
	YU Zhong-qi

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ZHOU Guang-qiang,QU Yuan-hao,GAO Wei等. Simulated impact of blow-cloud wet scavenging on PM_2.5 over the YRD[J]. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(7): 2794-2801.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2020/V40/I7/2794

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