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 ›› 2018, Vol. 34 ›› Issue (4): 59-67.doi: 10.3969/j.issn.1673-503X.2018.04.008

• Articles • Previous Articles     Next Articles

Effect of meteorological parameters on ozone and its precursors in the southwest urban area of Xi’an

LI Shun-ji1 LI Hong2 CHEN Miao1 CAO Ze-lei1 HUANG Yu-guang1 LI Shu1   

  1. 1. Xi’an Academy of Environmental Protection Sciences, Xi’an 710061, China; 2. Chinese Research Academy of Environmental Sciences, Beijing 100012, China
  • Received:2017-08-23 Revised:2017-12-19 Online:2018-08-31 Published:2018-09-03

Abstract:

 Based on the observational mass concentrations of surface ozone and its precursors (NO, NO2, and CO) in Xi’an, the temporal variation of ozone pollution was analyzed, and the correlation analysis and fitting equations between ozone and some meteorological parameters were carried out. The results showed that the highest ozone concentration occurs in summer due to the effect of local photochemical reaction of ozone, and the number of pollution days caused by O3-8h accounts for 1/3 of the total number of pollution days. In winter, the photochemical reaction of ozone becomes weak, but the emissions of its precursors increase, which results to the largest NO, NO2, and CO concentrations. Diurnal variation of ozone concentrations is characterized by one peak around 16:00 and a low level at night, while the concentrations of NO, NO2, and CO are lower at daytime and higher at  the night, showing two peaks for their diurnal variations. Ozone has a positive correlation with temperature and wind speed and a negative correlation with relative humidity. The concentrations of NO, NO2, and CO have a negative correlation with wind speed. Under the control of the northeasterly, northerly, and easterly flows, ozone concentration usually increase due to the pollutant transport from the upwind direction. The fitting degree of ozone mass concentration and meteorological parameters in summer is high, which means the routine meteorological parameters can be used to predict the evolution of ozone concentration. 

CLC Number: