ISSN 1006-9895

CN 11-1768/O4

Home > Archive>Volume 44, Issue 1, 2020 >76-92. DOI:10.3878/j.issn.1006-9895.1902.18224
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Multi-scale Simulation of the Influence of Spring Dust on PM2.5 Concentration in Central Shaanxi Area, China
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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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    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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History
  • Received:September 05,2018
  • Revised:
  • Adopted:
  • Online: January 22,2020
  • Published:

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