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春季沙尘对关中地区PM2.5 浓度影响的多尺度模拟研究
作者:
作者单位:

1.中国科学院大气物理研究所大气边界层物理与大气化学国家重点实验室北京 100029;2.中国科学院大学北京 100049;3.中国环境监测总站北京 100012;4.北京师范大学全球变化与地球系统科学研究院北京 100875;5.中国科学院城市环境研究所区域大气环境研究卓越创新中心厦门 361021

作者简介:

魏颖,女,1990出生,博士,主要从事大气化学模式和大气环境污染研究。E-mail: weiying@mail.iap.ac.cn

通讯作者:

陈学舜,E-mail: chenxsh@mail.iap.ac.cn

基金项目:

国家重点研发计划高性能计算专项2016YFB0200800,中国科学院重点部署项目——西安空气质量预警预报系统研发与应用ZDRW-ZS-2017-6-3,国家自然科学基金项目 41705108 ; 41605104 国家重点研发计划高性能计算专项2016YFB0200800,中国科学院重点部署项目——西安空气质量预警预报系统研发与应用ZDRW-ZS-2017-6-3,国家自然科学基金项目41705108、41605104


Multi-scale Simulation of the Influence of Spring Dust on PM2.5 Concentration in Central Shaanxi Area, China
Author:
Affiliation:

1.State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;2.University of Chinese Academy of Sciences, Beijing 100049;3.China National Environmental Monitoring Center, Beijing 100012;4.College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875;5.Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021

Fund Project:

National Major Research High Performance Computing Program of China 2016YFB0200800 ; Key Projects of Chinese Academy of Sciences—Development and Application of Air Quality Warning and Forecasting System in Xi’an ZDRW-ZS-2017-6-3 ; National Natural Science Foundation of China (Grants 41705108 ; 41605104 Funded by National Major Research High Performance Computing Program of China (Grant 2016YFB0200800), Key Projects of Chinese Academy of Sciences—Development and Application of Air Quality Warning and Forecasting System in Xi’an (Grant ZDRW-ZS-2017-6-3), National Natural Science Foundation of China (Grants 41705108, 41605104)

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    摘要:

    “一带一路”建设让古代丝绸之路的起点——西安成为世界焦点,西安的空气质量也是政府和公众关注的焦点。以2017年5月我国北方的一次强沙尘过程为例,首次利用中国科学院大气物理研究所气溶胶和大气化学模式系统IAP-AACM(Aerosol and Atmospheric Chemistry Model of the Institute of Atmospheric Physics)模拟关中地区细颗粒物(PM2.5)的时空分布,并结合地面逐小时PM2.5观测数据对沙尘气溶胶和PM2.5模拟的关系进行深入探究。结果表明:加入沙尘组分对模拟关中地区PM2.5时空变化特征作用显著,相关性可提升0.4~0.6,并且可以很好地再现强沙尘时段PM2.5浓度骤增的过程;在强沙尘时段和一般时段,沙尘组分对PM2.5的贡献分别为60%~80%和10%~30%;0.11°×0.11°高分辨率模拟有助于提升模式捕捉污染物时空变化的能力。

    Abstract:

    The implement of "one belt and one road" program has made the starting station of the Silk Road Xi'an become the focus of the world. The air quality in Xi'an also attracts attention from the government and the public. Taking a strong dust period in northern China in May 2017 as a case, we firstly used the aerosol and atmospheric chemistry model developed by the Institute of Atmospheric Physics (IAP-AACM) to simulate the spatial and temporal distribution of fine particulate matter (PM2.5) in the Central Shaanxi area. Combined with hourly surface PM2.5 observation data, we explored the relationship between dust aerosol and the PM2.5 simulation. Results show that adding the dust component to anthropogenic PM2.5 significantly improves simulation accuracy, through which the correlation can be elevated by 0.4-0.6, and the sudden increase of PM2.5 during the strong dust period can be well reproduced. During strong dust and general periods, the contribution of dust aerosol to PM2.5 ranges from 60%-80% and 10%-30%, respectively. High-resolution simulations improve the model’s ability to capture the spatiotemporal changes of the pollutants.

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魏颖,陈焕盛,刘航,陈学舜,王威,吴其重,李杰,王自发.春季沙尘对关中地区PM2.5 浓度影响的多尺度模拟研究.大气科学,2020,44(1):76~92 WEI Ying, CHEN Huansheng, LIU Hang, CHEN Xueshun, WANG Wei, WU Qizhong, LI Jie, WANG Zifa. Multi-scale Simulation of the Influence of Spring Dust on PM2.5 Concentration in Central Shaanxi Area, China. Chinese Journal of Atmospheric Sciences (in Chinese),2020,44(1):76~92

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  • 收稿日期:2018-09-05
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  • 在线发布日期: 2020-01-22
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