2014Chemistry and AdhesionRequires access

Analysis of the Correlation of TSP, PM_(10) and PM_(2.5) in Harbin Atmosphere

Huang Li-ku

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Abstract

The TSP, PM10, PM2.5 data from the atmospheric environment in Harbin were sampled and the mass concentration was analyzed. The experimental results showed that the proportion changes of the fine particles(PM2.5)were more obvious and higher in January, October, November and December, in which accounted for more than 55% of the total atmospheric particulate matter, while the PM2.5/PM10 was also the highest. It was indicated that the fine particle pollution was serious during this period and had a great harm to environment. The content change of PM10 was relatively stable throughout the year and the variation range of PM10/TSP was only from 0.71 to 0.79, which indicated that the mass distribution variations of the particle were mainly caused by PM2.5 and PM2.5-10. According to the correlation curve between TSP and PM10, PM10 and PM2.5, it could be seen that these two kinds of atmospheric particles were from similar pollution sources, and the size distribution of atmospheric particulate from the pollution source were stable for a long time. The coefficient correlation between PM10 and the PM2.5was 0.973, which showed a certain relationship and could be considered as having a same variation trend.

About this research paper

What this paper is about

The TSP, PM10, PM2.5 data from the atmospheric environment in Harbin were sampled and the mass concentration was analyzed. The experimental results showed that the proportion changes of the fine particles(PM2.5)were more obvious and higher in January, October, November and December, in which accounted for more than 55% of the total atmospheric particulate matter, while the PM2.5/PM10 was also the highest. It was indicated that the fine particle pollution was serious during this period and had a great harm to environment. The content change of PM10 was relatively stable throughout the year and the variation range of PM10/TSP was only from 0.71 to 0.79, which indicated that the mass distribution variations of the particle were mainly caused by PM2.5 and PM2.5-10. According to the correlation curve between TSP and PM10, PM10 and PM2.5, it could be seen that these two kinds of atmospheric particles were from similar pollution sources, and the size distribution of atmospheric particulate from the pollution source were stable for a long time. The coefficient correlation between PM10 and the PM2.5was 0.973, which showed a certain relationship and could be considered as having a same variation trend.

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Available abstract

The TSP, PM10, PM2.5 data from the atmospheric environment in Harbin were sampled and the mass concentration was analyzed. The experimental results showed that the proportion changes of the fine particles(PM2.5)were more obvious and higher in January, October, November and December, in which accounted for more than 55% of the total atmospheric particulate matter, while the PM2.5/PM10 was also the highest. It was indicated that the fine particle pollution was serious during this period and had a great harm to environment. The content change of PM10 was relatively stable throughout the year and the variation range of PM10/TSP was only from 0.71 to 0.79, which indicated that the mass distribution variations of the particle were mainly caused by PM2.5 and PM2.5-10. According to the correlation curve between TSP and PM10, PM10 and PM2.5, it could be seen that these two kinds of atmospheric particles were from similar pollution sources, and the size distribution of atmospheric particulate from the pollution source were stable for a long time. The coefficient correlation between PM10 and the PM2.5was 0.973, which showed a certain relationship and could be considered as having a same variation trend.

Key concepts: Particulates, Environmental science, Atmospheric sciences, Pollution, Atmosphere (unit), Mass concentration (chemistry), Atmospheric pollution, Aerosol

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Analysis of the Correlation of TSP, PM_(10) and PM_(2.5) in Harbin Atmosphere — Research Paper | ScholarLens