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Episode Simulation of Asian Dust Storms with an Air Quality Modeling System

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【作者】 葛萃张美根韩志伟刘艳菊

【Author】 GE Cui~1,ZHANG Meigen~(*1),HAN Zhiwei~2,and LIU Yanju~3 1 State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemisiry, Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029 2 Key Laboratory of Regional Climate-Environment Research for Temperate East Asia, Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029 3 Department of Environmental Pollution Analysis and Control, Beijing Center for Physical and Chemical Analysis,Beijing 100089

【机构】 State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,Institute of Atmospheric Physics,Chinese Academy of SciencesKey Laboratory of Regional Climate-Environment Research for Temperate East Asia,Institute of Atmospheric Physics,Chinese Academy of SciencesDepartment of Environmental Pollution Analysis and Control,Beijing Center for Physical and Chemical Analysis

【摘要】 <正>A dust deflation module was developed and coupled with the air quality modeling system RAMS-CMAQ to simultaneously treat all the major tropospheric aerosols(i.e.,organic and black carbons,sulfate,nitrate, ammonia,soil dust,and sea salt).Then the coupled system was applied to East Asia to simulate Asian dust aerosol generation,transport and dry/wet removal processes during 14-25 March 2002 when two strong dust storms occurred consecutively.To evaluate model performance and to analyze the observed features of dust aerosols over the East Asian region,model results were compared to concentrations of suspended particulate matter of 10μm or less(PM10;1-h intervals) at four remote Japanese stations and daily air pollution index (API) values for PM10 at four large Chinese cities.The modeled values were generally in good agreement with observed data,and the model reasonably reproduced two dust storm outbreaks and generally predicted the dust onset and cessation times at each observation site.In addition,hourly averaged values of aerosol optical thickness(AOT) were calculated and compared with observations at four Aerosol Robotic Network (AERONET) stations to assess the model’s capability of estimating dust aerosol column burden.Analysis shows that modeled and observed AOT values were generally comparable and that the contribution of dust aerosols to AOT was significant only with regard to their source regions and their transport paths.

【Abstract】 A dust deflation module was developed and coupled with the air quality modeling system RAMS-CMAQ to simultaneously treat all the major tropospheric aerosols(i.e.,organic and black carbons,sulfate,nitrate, ammonia,soil dust,and sea salt).Then the coupled system was applied to East Asia to simulate Asian dust aerosol generation,transport and dry/wet removal processes during 14-25 March 2002 when two strong dust storms occurred consecutively.To evaluate model performance and to analyze the observed features of dust aerosols over the East Asian region,model results were compared to concentrations of suspended particulate matter of 10μm or less(PM10;1-h intervals) at four remote Japanese stations and daily air pollution index (API) values for PM10 at four large Chinese cities.The modeled values were generally in good agreement with observed data,and the model reasonably reproduced two dust storm outbreaks and generally predicted the dust onset and cessation times at each observation site.In addition,hourly averaged values of aerosol optical thickness(AOT) were calculated and compared with observations at four Aerosol Robotic Network (AERONET) stations to assess the model’s capability of estimating dust aerosol column burden.Analysis shows that modeled and observed AOT values were generally comparable and that the contribution of dust aerosols to AOT was significant only with regard to their source regions and their transport paths.

【关键词】 aerosolaerosol optical thickness(AOT)CMAQPM10
【Key words】 aerosolaerosol optical thickness(AOT)CMAQPM10
【基金】 supported by the National Basic Research Program of China(2007CB407303);the Knowledge Innovation Program of the Chinese Academy of Sciences (KZCX2-YW-Q11-04);the National Natural Science Foundation of China(Grant No.41005064).
  • 【文献出处】 Advances in Atmospheric Sciences ,大气科学进展(英文版) , 编辑部邮箱 ,2011年03期
  • 【分类号】P445.4
  • 【被引频次】1
  • 【下载频次】68
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