›› 2018, Vol. 35 ›› Issue (6): 1344-1351.doi: 10.13866/j.azr.2018.06.11

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Air Pollution in a Strong Sandstorm in North China

JIANG Yu-he1, WANG Shi-gong1, JIN Shuang-long2, FAN Jin1   

  1. (1. College of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, Sicuan,China;
    2. State Key Laboratory of Control of New Energy and Energy Storage, China Academy of Electric Power Research, Beijing 100192, China)
  • Received:2018-01-03 Revised:2018-06-20 Online:2018-11-15 Published:2018-11-08
  • Contact: 王式功.(E-mail:wangsg@cuit.edu.cn)

Abstract: In this study, the routine environmental monitoring of pollutant concentration data, NCEP/NCAR 0.5°×0.5° reanalysis data and conventional meteorological observation data were used. The purpose of the study was to lucubrate the air pollution process of a strong sandstorm in 13 provinces (including autonomous regions and municipalities directly under the central government) in China from May 3 to 6, 2017. The results showed that the average daily concentration of PM10 in the main cities suffering from the sandstorm was increased by 2-10 times relative to the monthly average. The average daily concentration of PM2.5 was increased by 5~8 times relative to the monthly average concentration. During the intense sandstorm, the concentration of particulate matter was in a clear upward trend, and the increase of PM10 concentration was more obvious than that of PM2.5, which indicated that the sandstorm carried a large amount of coarse particle pollutants. On the contrary, during the occurrence of sandstorm, the average daily concentrations of SO2, CO and NO2 were in a decrease trend, which revealed that the sandstorm had a certain effect of diffusing O3. In addition, the locations of the regions with low visibility, high PM10 concentration and 3 h positive pressure were basically accorded with and located in the rear of ground cold front, which could provide a synoptic basis for predicting and preventing sandstorm and its pollution.

Key words: dust storm, inhalable particles (PM10 and PM2.5), circulation feature, gaseous pollutants (SO2, CO and NO2)