[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 …

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 …

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 …

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) …

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 …

Characteristics of PM2. 5 concentrations across Beijing during 2013–2015

S Batterman, L Xu, F Chen, F Chen, X Zhong - Atmospheric Environment, 2016 - Elsevier
High concentrations of particulate matter (PM2. 5) and frequent air pollution episodes in
Beijing have attracted widespread attention. This paper utilizes data from the new air …

Comparison of Hourly PM2.5 Observations Between Urban and Suburban Areas in Beijing, China

L Yao, N Lu, X Yue, J Du, C Yang - International Journal of Environmental …, 2015 - mdpi.com
Hourly PM2. 5 observations collected at 12 stations over a 1-year period are used to identify
variations between urban and suburban areas in Beijing. The data demonstrates a unique …

[PDF][PDF] Spatial and Temporal Distribution Characteristics of PM2.5 and PM10 in the Urban Agglomeration of China's Yangtze River Delta, China.

Y Yu, J Wang, J Yu, H Chen, VM Liu - Polish Journal of Environmental …, 2019 - pjoes.com
Abstract Fine particles (PM2. 5) and particulate matter (PM10) monitoring data from 2015 to
2016 in 18 major cities in the Yangtze River Delta were analyzed to determine the temporal …

Analysis of Spatial-Temporal Characteristics of the PM2.5 Concentrations in Weifang City, China

Y Li, Z Dai, X Liu - Sustainability, 2018 - mdpi.com
Air pollution, which accompanies industrial progression and urbanization, has become an
urgent issue to address in contemporary society. As a result, our understanding and …