主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

Journal of Meteorology and Environment ›› 2016, Vol. 32 ›› Issue (2): 52-58.doi: 10.11927/j.issn.1673-503X.2016.02.007

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Characteristics of air quality and its relationship with meteorological conditions in Jinzhou

BAI Xue1, ZHANG Cui-yan1, JI Yuan2, YANG Gui-juan1, ZHANG Fang1, SHI Hong-ting1, WEN Zhou1   

  1. 1. Jinzhou Meteorological Service, Jinzhou 121000, China;
    2. Heishan Meteorological Service, Heishan 121400, China
  • Received:2015-09-24 Revised:2015-12-31 Online:2016-04-30 Published:2016-04-30

Abstract: Using air quality index (AQI) and the daily mean concentration data of air pollutants in Jinzhou and corresponding meteorological data from March of 2014 to February of 2015, temporal and spatial characteristics of air quality and its relationship with meteorological conditions were analyzed.The results show that the frequency of the air quality with good grade is 62% in Jinzhou, while those with light pollution and excellent air quality grades are 23% and 6% respectively.The primary pollutants are PM2.5, PM10, SO2 and O3 in Jinzhou.Air quality is the worst in October and February, while it is the best in September when the number of days with excellent and great air quality grades reaches 97% in this month.Air quality is the worst at Tian'an Street, and its concentration of SO2 is 5 times higher than that at Baigu Street.The main influence systems are terrain trough pattern, Mongolia low circulation pattern and uniform pressure field when the air pollution grade is above slight contamination.Precipitation has good cleanup effect for pollutants, especially for PM10.Dust weather can cause serious air pollution.Presence of inversion temperature is not favorable to the diffusion of pollutants.The lower the bottom height of inversion layer is, the more serious air pollution is.A regression equation of AQI is established and the fitting results suggest that the estimated values are consistent with observed values, especially in spring.

Key words: Air Quality Index (AQI), Air pollution, Meteorological element, Correlation analysis, Stepwise regression

CLC Number: