TY - JOUR
T1 - Impact of weather and emission changes on NO2 concentrations in China during 2014–2019
AU - Shen, Yang
AU - Jiang, Fei
AU - Feng, Shuzhuang
AU - Zheng, Yanhua
AU - Cai, Zhe
AU - Lyu, Xiaopu
N1 - Funding Information:
This work is supported by the National Key R&D Program of China (Grant No: 2016YFA0600204) and the National Natural Science Foundation of China (Grant No: 41571452). We are grateful to the High Performance Computing Center (HPCC) of Nanjing University for doing the numerical calculations in this paper on its blade cluster system.
Funding Information:
This work is supported by the National Key R&D Program of China (Grant No: 2016YFA0600204 ) and the National Natural Science Foundation of China (Grant No: 41571452 ). We are grateful to the High Performance Computing Center (HPCC) of Nanjing University for doing the numerical calculations in this paper on its blade cluster system.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2021/1
Y1 - 2021/1
N2 - Nitrogen dioxide (NO2) is one of the most
important air pollutants that highly affect the formation of secondary fine
particles and tropospheric ozone. In this study based on hourly NO2
observations from June 2014 to May 2019 and a regional air quality model
(WRF−CMAQ), we comprehensively analyzed the spatiotemporal variations of NO2
concentrations throughout China and in 12 urban agglomerations (UAs) and
quantitatively showed the anthropogenic and meteorological factors controlling
the interannual variations (IAVs). The ground observations and tropospheric
columns show that high NO2 concentrations are predominantly
concentrated in UAs such as Beijing−Tianjin−Hebei (BTH), the Shandong Peninsula
(SP), the Central Plain (CP), Central Shaanxi (CS), and the Yangtze River Delta
(YRD). For different UAs, the NO2 IAVs are different. The NO2
increased first and then decreased in 2016 or 2017 in BTH, YRD, CS, and
Cheng−Yu, and decreased from 2014 to 2019 in Harbin−Changchun, CP, SP, Northern
Slope of Tianshan Mountain, and Beibu−Gulf, while increased slightly in the
Pearl River Delta (PRD) and Hohhot−Baotou−Erdos−Yulin (HBEY). The NO2
IAVs were primarily dominated by emission changes. The net wintertime decreases
of NO2 in BTH, Yangtze River Middle−Reach, and PRD were mostly
contributed by emission reductions from 2014 to 2018, and the significant
increase in the wintertime in HBEY was also dominated by emission changes
(93%). Weather conditions also have an important effect on the NO2
IAVS. In BTH and HBEY, the increases of NO2 in winter of 2016 are
mainly attributed to the unfavorable weather conditions and for the significant
decreases in the winter of 2017, the favorable weather conditions also play a
very important role. This study provides a basic understanding on the current
situation of NO2 pollution and are helpful for policymakers as well
as those interested in the study of tropospheric ozone changes in China and
downwind areas.
AB - Nitrogen dioxide (NO2) is one of the most
important air pollutants that highly affect the formation of secondary fine
particles and tropospheric ozone. In this study based on hourly NO2
observations from June 2014 to May 2019 and a regional air quality model
(WRF−CMAQ), we comprehensively analyzed the spatiotemporal variations of NO2
concentrations throughout China and in 12 urban agglomerations (UAs) and
quantitatively showed the anthropogenic and meteorological factors controlling
the interannual variations (IAVs). The ground observations and tropospheric
columns show that high NO2 concentrations are predominantly
concentrated in UAs such as Beijing−Tianjin−Hebei (BTH), the Shandong Peninsula
(SP), the Central Plain (CP), Central Shaanxi (CS), and the Yangtze River Delta
(YRD). For different UAs, the NO2 IAVs are different. The NO2
increased first and then decreased in 2016 or 2017 in BTH, YRD, CS, and
Cheng−Yu, and decreased from 2014 to 2019 in Harbin−Changchun, CP, SP, Northern
Slope of Tianshan Mountain, and Beibu−Gulf, while increased slightly in the
Pearl River Delta (PRD) and Hohhot−Baotou−Erdos−Yulin (HBEY). The NO2
IAVs were primarily dominated by emission changes. The net wintertime decreases
of NO2 in BTH, Yangtze River Middle−Reach, and PRD were mostly
contributed by emission reductions from 2014 to 2018, and the significant
increase in the wintertime in HBEY was also dominated by emission changes
(93%). Weather conditions also have an important effect on the NO2
IAVS. In BTH and HBEY, the increases of NO2 in winter of 2016 are
mainly attributed to the unfavorable weather conditions and for the significant
decreases in the winter of 2017, the favorable weather conditions also play a
very important role. This study provides a basic understanding on the current
situation of NO2 pollution and are helpful for policymakers as well
as those interested in the study of tropospheric ozone changes in China and
downwind areas.
KW - NO2
KW - Urban agglomeration
KW - Spatiotemporal pattern
KW - WRF−CMAQ
KW - Quantitative impacts
UR - http://www.scopus.com/inward/record.url?scp=85097226822&partnerID=8YFLogxK
U2 - 10.1016/j.envpol.2020.116163
DO - 10.1016/j.envpol.2020.116163
M3 - Journal article
C2 - 33280908
AN - SCOPUS:85097226822
SN - 0269-7491
VL - 269
JO - Environmental Pollution
JF - Environmental Pollution
M1 - 116163
ER -
