Quantifying the impact of synoptic circulation patterns on ozone variability in northern China from April to October 2013–2017
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Published:2019-11-29
Issue:23
Volume:19
Page:14477-14492
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Liu Jingda, Wang Lili, Li Mingge, Liao Zhiheng, Sun Yang, Song Tao, Gao Wenkang, Wang YonghongORCID, Li Yan, Ji Dongsheng, Hu BoORCID, Kerminen Veli-MattiORCID, Wang Yuesi, Kulmala MarkkuORCID
Abstract
Abstract. The characteristics of ozone variations and the impacts of synoptic and
local meteorological factors in northern China were quantitatively analyzed
during the warm season from 2013 to 2017 based on multi-city in situ ozone
and meteorological data as well as meteorological reanalysis. The
domain-averaged maximum daily 8 h running average O3 (MDA8 O3)
concentration was 122±11 µg m−3, with an increase rate of
7.88 µg m−3 yr−1, and the three most polluted months were
closely related to the variations in the synoptic circulation patterns,
which occurred in June (149 µg m−3), May (138 µg m−3)
and July (132 µg m−3). A total of 26 weather types (merged into five
weather categories) were objectively identified using the Lamb–Jenkinson
method. The highly polluted weather categories included the S–W–N directions
(geostrophic wind direction diverts from south to north), low-pressure-related weather types (LP) and cyclone type, which the study area controlled
by a low-pressure center (C), and the corresponding domain-averaged MDA8
O3 concentrations were 122, 126 and 128 µg m−3, respectively.
Based on the frequency and intensity changes of the synoptic circulation
patterns, 39.2 % of the interannual increase in the domain-averaged
O3 from 2013 to 2017 was attributed to synoptic changes, and the
intensity of the synoptic circulation patterns was the dominant factor.
Using synoptic classification and local meteorological factors, the
segmented synoptic-regression approach was established to evaluate and
forecast daily ozone variability on an urban scale. The results showed
that this method is practical in most cities, and the dominant factors are
the maximum temperature, southerly winds, relative humidity on the previous
day and on the same day, and total cloud cover. Overall, 41 %–63 % of the
day-to-day variability in the MDA8 O3 concentrations was due to local
meteorological variations in most cities over northern China, except for two
cities: QHD (Qinhuangdao) at 34 % and ZZ (Zhengzhou) at 20 %. Our
quantitative exploration of the influence of both synoptic and local
meteorological factors on interannual and day-to-day ozone variability will
provide a scientific basis for evaluating emission reduction measures that
have been implemented by the national and local governments to mitigate air
pollution in northern China.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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