Seasonal variation and source apportionment of organic and inorganic compounds in PM2.5 and PM10 particulates in Beijing, China

2013 ◽  
Vol 25 (4) ◽  
pp. 741-750 ◽  
Author(s):  
Xingru Li ◽  
Yuesi Wang ◽  
Xueqing Guo ◽  
Yingfeng Wang
2015 ◽  
Vol 120 ◽  
pp. 328-338 ◽  
Author(s):  
Zirui Liu ◽  
Bo Hu ◽  
Dongsheng Ji ◽  
Yonghong Wang ◽  
Mingxing Wang ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7290
Author(s):  
Miron Kaliszewski ◽  
Maksymilian Włodarski ◽  
Jarosław Młyńczak ◽  
Krzysztof Kopczyński

This study shows the results of air monitoring in high- and low-occupancy rooms using two combinations of sensors, AeroTrak8220(TSI)/OPC-N3 (AlphaSense, Great Notley, UK) and OPC-N3/PMS5003 (Plantower, Beijing, China), respectively. The tests were conducted in a flat in Warsaw during the restrictions imposed due to the COVID-19 lockdown. The results showed that OPC-N3 underestimates the PN (particle number concentration) by about 2–3 times compared to the AeroTrak8220. Subsequently, the OPC-N3 was compared with another low-cost sensor, the PMS5003. Both devices showed similar efficiency in PN estimation, whereas PM (particulate matter) concentration estimation differed significantly. Moreover, the relationship among the PM1–PM2.5–PM10 readings obtained with the PMS5003 appeared improbably linear regarding the natural indoor conditions. The correlation of PM concentrations obtained with the PMS5003 suggests an oversimplified calculation method of PM. The studies also demonstrated that PM1, PM2.5, and PM10 concentrations in the high- to low-occupancy rooms were about 3, 2, and 1.5 times, respectively. On the other hand, the use of an air purifier considerably reduced the PM concentrations to similar levels in both rooms. All the sensors showed that frying and toast-making were the major sources of particulate matter, about 10 times higher compared to average levels. Considerably lower particle levels were measured in the low-occupancy room.


2017 ◽  
Vol 166 ◽  
pp. 340-350 ◽  
Author(s):  
Xingna Yu ◽  
Rui Lü ◽  
Chao Liu ◽  
Liang Yuan ◽  
Yixing Shao ◽  
...  

Particuology ◽  
2015 ◽  
Vol 18 ◽  
pp. 96-104 ◽  
Author(s):  
Yan Cheng ◽  
Shuncheng Lee ◽  
Zhaolin Gu ◽  
Kinfai Ho ◽  
Yunwei Zhang ◽  
...  

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