Effects of humidity on absorbing aerosol index

  • role: First author第一作者
  • Affiliation:

    National Space Science Center,Chinese Academy of Sciences, Beijing 100190, China

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email:zhangzhuo113@mails.ucas.ac.cn
  • Introduction:张卓,1991年生,女,博士研究生,研究方向为星载仪器星上定标及AAI反演结果的影响因素。E-mail:zhangzhuo113@mails.ucas.ac.cn
ZHANG Zhuo12,  
  • role: Corresponding author通信作者
  • Affiliation:

    National Satellite Meteorological Center,China Meteorology Administration, Beijing 100081, China

  • Email:wangwh@cma.gov.cn
  • Introduction:王维和,1964年生,男,正研级高级工程师,研究方向为星载紫外探测仪定标和数据处理。E-mail:wangwh@cma.gov.cn
WANG Weihe3*,  
  • Affiliation:

    National Space Science Center,Chinese Academy of Sciences, Beijing 100190, China

WANG Houmao1,  
  • Affiliation:

    National Space Science Center,Chinese Academy of Sciences, Beijing 100190, China

    University of Chinese Academy of Sciences, Beijing 100049, China

WANG Yongmei12

реферат

Air pollution processes in Northern China have been analyzed using Absorbing Aerosol Index (AAI) products and ground-based data, including Relative Humidity (RH) and Particulate Matter (PM) 2.5. The AAI data are obtained from the total ozone unit load on FY-3B, which is the second-generation polar orbiter of China. The correlation between AAI, which has a fairly high value, and PM2.5 is weak when RH has a high value. In this research, the relationship between satellite-retrieved AAI and RH is simulated. The effects of humidity on AAI are investigated under different aerosol types, such as urban and rural aerosols, using radiative transfer models Doubling–Adding KNMI (DAK) with consideration of the characteristics of the aerosol models of the low atmosphere and mode radii for the aerosol model as a function of RH. Rural aerosol consists of 30% dust-like aerosol and 70% water-soluble materials, including ammonium, calcium sulfate, and organic compounds. Urban aerosol consists of 80% rural aerosol and 20% carbonaceous aerosol-like soot caused by industrial emissions. The AAI increases with Aerosol Optical Depth (AOD) for the two aerosol models, whereas the AAI is higher and changes faster with AOD than with urban aerosol for the rural aerosol model. For the two aerosol models, the AAI remains constant with RH when the air is dry but changes rapidly when the air becomes humid, and the effects of RH on the AAI are opposite for rural and urban aerosols. Analysis results show that the AAI strongly depends on RH when absorbing aerosols, such as carbonaceous aerosol-like soot, exist in the atmosphere during air pollution, which frequently occurs in Northern China. This finding can well explain the huge discrepancy of the comparison between the AAI and ground-based measurements under high RH condition using the microphysical properties of aerosols. Under a dry condition and a certain AOD value, the AAI is larger in rural aerosol than in urban aerosol. This condition is due to more dust-like aerosols exist in the rural aerosol model than in the urban aerosol model, and dust-like aerosols have stronger absorbing ability than carbonaceous aerosols. Under the humid condition, dust-like aerosols in the rural model exert a weaker hygroscopic effect than carbonaceous aerosols caused by industrial emission in the urban model, whereas sulfate aerosols demonstrate a strong hygroscopic effect but only produce negative or zero AAI. Thus, the AAI of rural aerosol slightly decreases with the increase in RH. Soot-like aerosol, which only exists in urban aerosol, can grow large by taking a large amount of water in high RH ambient atmosphere and change the chemical composition of particles. Thus, the absorption ability enormously increases with RH. This condition makes RH have a stronger effect on the AAI in the urban aerosol model than in the rural aerosol model. The aerosol type and humidity must be considered important impacting factors when monitoring the AAI data derived from spaceborne UV instruments.

ключеви́че слова́

remote sensing;Absorbing Aerosol Index;Relative Humility;DAK;PM2.5;FY-3/TOU

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