Summertime ozone formation in Xi'an and surrounding areas, China

  • Tian Feng
  • , Naifang Bei
  • , Ru Jin Huang
  • , Junji Cao
  • , Qiang Zhang
  • , Weijian Zhou
  • , Xuexi Tie
  • , Suixin Liu
  • , Ting Zhang
  • , Xiaoli Su
  • , Wenfang Lei
  • , Luisa T. Molina
  • , Guohui Li

Research output: Contribution to journalArticlepeer-review

78 Scopus citations

Abstract

In this study, the ozone (O3) formation in China's northwest city of Xi'an and surrounding areas is investigated using the Weather Research and Forecasting atmospheric chemistry (WRF-Chem) model during the period from 22 to 24 August 2013, corresponding to a heavy air pollution episode with high concentrations of O3 and PM2.5. The model generally performs well compared to measurements in simulating the surface temperature, relative humidity, and wind speed and direction, near-surface O3 and PM2.5 mass concentrations, and aerosol constituents. High aerosol concentrations in Xi'an and surrounding areas significantly decrease the photolysis frequencies and can reduce O3 concentrations by more than 50ĝ€μgĝ€mĝ'3 (around 25ĝ€ppb) on average. Sensitivity studies show that the O3 production regime in Xi'an and surrounding areas is complicated, varying from NOx to VOC (volatile organic compound)-sensitive chemistry. The industrial emissions contribute the most to the O3 concentrations compared to biogenic and other anthropogenic sources, but neither individual anthropogenic emission nor biogenic emission plays a dominant role in the O3 formation. Under high O3 and PM2.5 concentrations, a 50ĝ€% reduction in all the anthropogenic emissions only decreases near-surface O3 concentrations by about 14ĝ€% during daytime. The complicated O3 production regime and high aerosol levels pose a challenge for O3 control strategies in Xi'an and surrounding areas. Further investigation regarding O3 control strategies will need to be performed, taking into consideration the rapid changes in anthropogenic emissions that are not reflected in the current emission inventories and the uncertainties in the meteorological field simulations.

Original languageEnglish
Pages (from-to)4323-4342
Number of pages20
JournalAtmospheric Chemistry and Physics
Volume16
Issue number7
DOIs
StatePublished - 7 Apr 2016

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