scholarly journals Modelling spatio-temporal variation in exposure to particulate matter: a two-stage approach

2008 ◽  
Vol 19 (6) ◽  
pp. 549-566 ◽  
Author(s):  
T. R. Fanshawe ◽  
P. J. Diggle ◽  
S. Rushton ◽  
R. Sanderson ◽  
P. W. W. Lurz ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Temporal Variation ◽  
Two Stage ◽  
Spatio Temporal

scholarly journals Spatio-Temporal Variation Characteristics of PM2.5 in the Beijing–Tianjin–Hebei Region, China, from 2013 to 2018

2019 ◽  
Vol 16 (21) ◽  
pp. 4276 ◽  
Author(s):  
Lili Wang ◽  
Qiulin Xiong ◽  
Gaofeng Wu ◽  
Atul Gautam ◽  
Jianfang Jiang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Temporal Variation ◽  
Mass Concentration ◽  
Pollution Prevention ◽  
Concentration Data ◽  
Control Plan ◽  
Variation Characteristics ◽  
Spatio Temporal ◽  
Bth Region

Air pollution, including particulate matter (PM2.5) pollution, is extremely harmful to the environment as well as human health. The Beijing–Tianjin–Hebei (BTH) Region has experienced heavy PM2.5 pollution within China. In this study, a six-year time series (January 2013–December 2018) of PM2.5 mass concentration data from 102 air quality monitoring stations were studied to understand the spatio-temporal variation characteristics of the BTH region. The average annual PM2.5 mass concentration in the BTH region decreased from 98.9 μg/m3 in 2013 to 64.9 μg/m3 in 2017. Therefore, China has achieved its Air Pollution Prevention and Control Plan goal of reducing the concentration of fine particulate matter in the BTH region by 25% by 2017. The PM2.5 pollution in BTH plain areas showed a more significant change than mountains areas, with the highest PM2.5 mass concentration in winter and the lowest in summer. The results of spatial autocorrelation and cluster analyses showed that the PM2.5 mass concentration in the BTH region from 2013–2018 showed a significant spatial agglomeration, and that spatial distribution characteristics were high in the south and low in the north. Changes in PM2.5 mass concentration in the BTH region were affected by both socio-economic factors and meteorological factors. Our results can provide a point of reference for making PM2.5 pollution control decisions.

Spatio-temporal variation of wind influence on distribution of fine particulate matter and its precursor gases

2019 ◽  
Vol 10 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Hamed Karimian ◽  
Qi Li ◽  
Chengcai Li ◽  
Gong Chen ◽  
Yuqin Mo ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Temporal Variation ◽  
Fine Particulate Matter ◽  
Fine Particulate ◽  
Wind Influence ◽  
Spatio Temporal

Spatio-temporal Variation Characteristics of Surface Net Radiation in China over the Past 50 Years

2013 ◽  
Vol 15 (1) ◽  
pp. 1 ◽  
Author(s):  
Yangzi GAO ◽  
Honglin HE ◽  
Li ZHANG ◽  
Qianqian LU ◽  
Guirui YU ◽  
...  
Keyword(s):  
Temporal Variation ◽  
Net Radiation ◽  
The Past ◽  
Variation Characteristics ◽  
Spatio Temporal
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