摘要
结合MEIC大气污染物排放源清单,利用耦合了大气化学模式的中尺度气象数值模式WRF-Chem,对2016年5月6日广东地区一次深对流天气过程及其大气化学气体成分变化进行模拟,着重研究深对流系统对大气化学气体成分再分布的影响。结果表明:数值模拟较真实地再现了这次深对流天气过程中大气污染物的时空分布特征。通过计算,评估了这次对流降水对不同溶解度的大气污染气体的湿清除效率,发现湿清除过程对低溶解度大气污染气体CO、NO 2和O 3的湿清除效率几乎可以忽略不计,而对SO 2、H 2O 2和HNO 3的湿清除效率则分别达到50.8%、98.6%和38.2%。随着溶解度的增大,清除效率并不一定增大,这是因为大气物理和化学过程共同影响着气体污染物的清除效率。
Deep convections have a great impact on the vertical distribution of atmospheric pollutants.Combined with the Multi-resolution Emission Inventory for China (MEIC),the Weather Research and Forecasting model coupled with Chemistry model (WRF-Chem) was used to simulate a deep convective weather process and the change of atmospheric chemical gases composition in Guangdong Province on 6 May 2016,focusing on the influence of the deep convective system on the redistribution of atmospheric chemical gases composition.Results show that the simulation reproduces the convective weather process and the temporal and spatial distributions of atmospheric pollutants.Analysis of scavenging efficiencies (SEs) of different soluble species shows that the impact of wet scavenging on species of low solubility (CO,NO 2 and O 3) could be neglected,while the SEs of SO 2,H 2O 2 and HNO 3 are 50.8%,98.5% and 38.2%,respectively.However,the SEs do not necessarily increase with the increase of solubility because of the combined physical and chemical processes of atmosphere.
作者
银燕
曹海宁
况祥
张昕
YIN Yan;CAO Haining;KUANG Xiang;ZHANG Xin(Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration,Nanjing University of Information Science&Technology,Nanjing 210044,China)
出处
《大气科学学报》
CSCD
北大核心
2020年第3期425-434,共10页
Transactions of Atmospheric Sciences
基金
国家自然科学基金资助项目(91644224)。
关键词
深对流
大气化学
垂直输送
湿清除
溶解度
deep convection
atmospheric chemistry
vertical transport
wet scavenging
solubility
