Next Article in Journal
A Wind Tunnel Study on the Correlation between Urban Space Quantification and Pedestrian–Level Ventilation
Previous Article in Journal
On Evolution of Young Wind Waves in Time and Space
Open AccessArticle

Contribution of Meteorological Conditions to the Variation in Winter PM2.5 Concentrations from 2013 to 2019 in Middle-Eastern China

by Zhaodong Liu 1,2, Hong Wang 1,2,*, Xinyong Shen 2,3,*, Yue Peng 1,2, Yishe Shi 1,2, Huizheng Che 1,2 and Guanghui Wang 1
State Key Laboratory of Severe Weather (LASW), Chinese Academy of Meteorological Sciences (CAMS), CMA, Beijing 100081, China
Key Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environment Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China
Authors to whom correspondence should be addressed.
Atmosphere 2019, 10(10), 563;
Received: 7 August 2019 / Revised: 8 September 2019 / Accepted: 17 September 2019 / Published: 20 September 2019
(This article belongs to the Section Air Quality)
Severe air pollution events accompanied by high PM2.5 concentrations have been repeatedly observed in Middle-Eastern China since 2013 and decreased in recent years. The reason for this caused widespread attention. The month of January was selected to represent the winter season annual changes in the winter PM2.5 and meteorological conditions—including the upper-air meridional circulation index (MCI), winds at 700 and 850 hPa levels and surface meteorology—from 2013 to 2019. These conditions were analyzed to study the contribution of meteorology changing to the annual PM2.5 changing on the regional scale. Results show that, based on values of upper-level MCI, the years 2014, 2015, 2017, and 2019 were defined as meteorology-haze years and the years 2016 and 2018 were defined as meteorology-clean years. A change in meteorological conditions may lead to a 26% change in PM2.5 concentration between 2014 and 2013 (two meteorology-haze years) and 16–20% changes in PM2.5 concentration between meteorology-haze years and meteorology-clean years. Changes in pollutant emissions may cause 21–47% changes in PM2.5 concentration between each two meteorology-haze years. A comparison of two meteorology-clean years and pollutant emissions in 2018 may be reduced by 40% compared with 2016. Overall, changes in emissions had a greater influence on changes in PM2.5 compared with meteorological conditions. View Full-Text
Keywords: PM2.5; meteorology condition; Middle-Eastern China PM2.5; meteorology condition; Middle-Eastern China
Show Figures

Figure 1

MDPI and ACS Style

Liu, Z.; Wang, H.; Shen, X.; Peng, Y.; Shi, Y.; Che, H.; Wang, G. Contribution of Meteorological Conditions to the Variation in Winter PM2.5 Concentrations from 2013 to 2019 in Middle-Eastern China. Atmosphere 2019, 10, 563.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop