| 一次深对流过程对不同溶解度大气化学气体成分垂直再分布作用的模拟 |
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| 引用本文： | 银燕,曹海宁,况祥,张昕.一次深对流过程对不同溶解度大气化学气体成分垂直再分布作用的模拟[J].大气科学学报,2020,43(3):425-434. |
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| 作者姓名： | 银燕 曹海宁 况祥 张昕 |
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| 作者单位： | 南京信息工程大学气象灾害预报预警与评估协同创新中心/中国气象局气溶胶与云降水重点开放实验室,江苏南京210044;南京信息工程大学气象灾害预报预警与评估协同创新中心/中国气象局气溶胶与云降水重点开放实验室,江苏南京210044;南京信息工程大学气象灾害预报预警与评估协同创新中心/中国气象局气溶胶与云降水重点开放实验室,江苏南京210044;南京信息工程大学气象灾害预报预警与评估协同创新中心/中国气象局气溶胶与云降水重点开放实验室,江苏南京210044 |
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| 基金项目： | 国家自然科学基金资助项目（91644224） |
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| 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。
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| 关 键 词： | 深对流 大气化学 垂直输送 湿清除 溶解度 |
| 收稿时间： | 2020/3/26 0:00:00 |
| 修稿时间： | 2020/4/11 0:00:00 |
Simulations of vertical redistribution of atmospheric chemical gases with different solubility in a deep convection process |
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| YIN Yan,CAO Haining,KUANG Xiang and ZHANG Xin.Simulations of vertical redistribution of atmospheric chemical gases with different solubility in a deep convection process[J].大气科学学报,2020,43(3):425-434. |
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| Authors: | YIN Yan CAO Haining KUANG Xiang and ZHANG Xin |
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| Institution: | 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,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,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 and 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 |
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| Abstract: | 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,NO2 and O3) could be neglected,while the SEs of SO2,H2O2 and HNO3 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. |
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| Keywords: | deep convection atmospheric chemistry vertical transport wet scavenging solubility |
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