Atmospheric particulate (PM10 and PM2.5) mass concentration and seasonal variation study in the Taiwan area during 2000–2008

2010 ◽  
Vol 98 (2-4) ◽  
pp. 368-377 ◽  
Author(s):  
Guor-Cheng Fang ◽  
Shyh-Chyi Chang
2013 ◽  
Vol 38 (2) ◽  
pp. 80-87 ◽  
Author(s):  
A. L. Dement’eva ◽  
G. S. Zhamsueva ◽  
A. S. Zayakhanov ◽  
V. V. Tsydypov ◽  
A. A. Ayurzhanaev ◽  
...  

2017 ◽  
Vol 17 (5) ◽  
pp. 1142-1155 ◽  
Author(s):  
Sabrina Rovelli ◽  
Andrea Cattaneo ◽  
Francesca Borghi ◽  
Andrea Spinazzè ◽  
Davide Campagnolo ◽  
...  

Atmosphere ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 651 ◽  
Author(s):  
Ju Wang ◽  
Xin Xie ◽  
Chunsheng Fang

With Changchun’s economic development, atmospheric particulate pollution has become a significant challenge in Changchun. The spatiotemporal patterns of particulate matter emissions are an inherent characteristic for particulate matter emissions. By using hourly PM (particulate matter) mass concentration measured at 10 atmospheric automatic monitoring stations and meteorological parameters, the spatiotemporal distribution characteristics of particulate matter (PM10 and PM2.5) and its relationship with meteorological parameters of Changchun have been analyzed. Pollution pathways and source distribution were investigated using HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory) model and cluster analysis. Results indicated that the quarterly average PM2.5 and PM10 mass concentrations in Changchun were higher in the first quarter and the fourth quarter. PM concentrations observed in all seasons generally exhibited two peaks, at 07:00–10:00 and 21:00–23:00, with the exception of PM10 in spring. PM pollution was concentrated mainly in the central, northern, and western areas of Changchun in most seasons, mainly due to anthropogenic activities and soil dust transported outside the region. PM concentrations were negatively correlated with relative humidity and temperature. PM2.5 concentrations were negatively correlated with wind speed, while PM10 concentrations were positively correlated with wind speed. The results of backward trajectory clustered showed that the northwest airflow had the greatest impact on PM of Changchun, except summer.


2018 ◽  
Vol 18 (7) ◽  
pp. 4965-4980 ◽  
Author(s):  
Gerry Bagtasa ◽  
Mylene G. Cayetano ◽  
Chung-Shin Yuan

Abstract. The seasonal and chemical characteristics of fine particulate matter (PM2.5) were investigated in Burgos, Ilocos Norte, located at the northwestern edge of the Philippines. Each 24 h sample of fine aerosol was collected for four seasons. Fine particulate in the region shows strong seasonal variation in both concentration and composition. Highest mass concentration was seen during the boreal spring season with a mean mass concentration of 21.6 ± 6.6 µg m−3, and lowest was in fall with a mean concentration of 8.4 ± 2.3 µg m−3. Three-day wind back trajectory analysis of air mass reveals the influence of the northwestern Pacific monsoon regimes on PM2.5 concentration. During southwest monsoon, sea salt was the dominant component of fine aerosols carried by moist air from the South China Sea. During northeast monsoon, on the other hand, both wind and receptor model analysis showed that higher particulate concentration was due to the long-range transport (LRT) of anthropogenic emissions from northern East Asia. Overall, sea salt and soil comprise 33 % of total PM2.5 concentration, while local biomass burning makes up 33 %. LRT of industrial emission, solid waste burning and secondary sulfate from East Asia have a mean contribution of 34 % to the total fine particulate for the whole sampling period.


2017 ◽  
Author(s):  
Gerry Bagtasa ◽  
Mylene G. Cayetano ◽  
Chung-Shin Yuan

Abstract. The seasonal and chemical characteristic of fine particulate matter (PM2.5) was investigated in Burgos, Ilocos Norte, located at the northwestern edge of the Philippines. Each 24H-sample of fine aerosol was collected for two weeks every season. Fine particulate in the region shows strong seasonal variation in both concentration and composition. Highest mass concentration was seen during the boreal spring season with a mean mass concentration of 21.59 μg m-3, and lowest was in fall with a mean concentration of 8.44 μg m-3. Three-day wind back trajectory analysis of air mass reveals the influence of the North Western Pacific monsoon regimes on PM2.5 concentration. During southwest monsoon, sea salt is the dominant component of fine aerosols carried by moist air from the South China Sea. During northeast monsoon, on the other hand, both wind and receptor model (USEPA PMF) analysis showed that higher particulate concentration was due to the Long Range Transport (LRT) of anthropogenic emissions from the northern East Asia. Overall, sea salt and soil comprise 33 % of total PM2.5 concentration while local biomass burning makes up 33 %. LRT of industrial emission, solid waste burning and secondary sulfate from East Asia have a mean contribution of 34 % to the total fine particulate for the whole sampling period.


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