Spatial and temporal variations of the concentrations of PM, PM and PM in China

YQ Wang, XY Zhang, JY Sun, XC Zhang… - Atmospheric …, 2015 - acp.copernicus.org
Concentrations of PM 10, PM 2.5 and PM 1 were monitored at 24 CAWNET (China
Atmosphere Watch Network) stations from 2006 to 2014. The highest particulate matter (PM) …

[HTML][HTML] Characterizing spatial distribution and temporal variation of PM10 and PM2. 5 mass concentrations in an urban area of Southwest China

W Huang, E Long, J Wang, R Huang, L Ma - Atmospheric Pollution …, 2015 - Elsevier
To investigate the temporal and spatial behavior of particulate matter (PM 10 and PM 2.5),
daily data of PM 10 and PM 2.5 mass concentrations were collected from five air–quality …

Temporal and spatial analyses of particulate matter (PM10 and PM2. 5) and its relationship with meteorological parameters over an urban city in northeast China

X Li, Y Ma, Y Wang, N Liu, Y Hong - Atmospheric research, 2017 - Elsevier
Temporal and spatial characteristics of atmospheric particulate matter (PM 10 and PM 2.5)
and its relationship with meteorology over Shenyang, a city in northeast China, were …

Spatiotemporal characteristics of PM2. 5 and PM10 at urban and corresponding background sites in 23 cities in China

L Xu, S Batterman, F Chen, J Li, X Zhong… - Science of the Total …, 2017 - Elsevier
Air pollution episodes in China are frequent and a more comprehensive understanding of
pollution sources and impacts is needed to design appropriate strategies and set emission …

Seasonal and diurnal variation in particulate matter (PM10 and PM2.5) at an urban site of Beijing: analyses from a 9-year study

Z Liu, B Hu, L Wang, F Wu, W Gao, Y Wang - Environmental Science and …, 2015 - Springer
Air pollution has become a top environmental concern in China. In the present study, 9 years
of PM 10 and PM 2.5 data from an urban monitoring station in Beijing was analyzed relative …

Spatial-temporal patterns of PM2. 5 concentrations for 338 Chinese cities

WF Ye, ZY Ma, XZ Ha - Science of The Total Environment, 2018 - Elsevier
Air pollution has become a major concern in cities worldwide. The present study explores
the spatial-temporal patterns of PM 2.5 (particles with an aerodynamic diameters≤ 2.5 μm) …

Spatio-temporal variability of particulate matter in the key part of Gansu Province, Western China

Q Guan, A Cai, F Wang, L Yang, C Xu, Z Liu - Environmental pollution, 2017 - Elsevier
To investigate the spatial and temporal behaviors of particulate matter in Lanzhou, Jinchang
and Jiayuguan during 2014, the hourly concentrations of PM2. 5 and PM10 were collected …

Evolution of the spatiotemporal pattern of PM2. 5 concentrations in China–A case study from the Beijing-Tianjin-Hebei region

D Yan, Y Lei, Y Shi, Q Zhu, L Li, Z Zhang - Atmospheric Environment, 2018 - Elsevier
Atmospheric haze pollution has become a global concern because of its severe effects on
human health and the environment. The Beijing-Tianjin-Hebei urban agglomeration is …

Analysis of heavy pollution episodes in selected cities of northern China

D Ji, Y Wang, L Wang, L Chen, B Hu, G Tang… - Atmospheric …, 2012 - Elsevier
The analysis of air pollution episodes greatly aids in understanding air pollution and
formulating policies to improve air quality. In this study, variations in the distribution of PM10 …

[HTML][HTML] Characteristics of PM2.5 mass concentrations and chemical species in urban and background areas of China: emerging results from the CARE-China …

Z Liu, W Gao, Y Yu, B Hu, J Xin, Y Sun… - Atmospheric …, 2018 - acp.copernicus.org
The “Campaign on Atmospheric Aerosol Research” network of China (CARE-China) is a
long-term project for the study of the spatio-temporal distributions of physical aerosol …