Mass Concentration Variations Characteristics of PK and PM2.5 in Guangzhou (China)

被引:0
作者
Liu, Runping [1 ]
Fan, Fenglei [1 ]
机构
[1] S China Normal Univ, Sch Geog, Guangzhou 510631, Guangdong, Peoples R China
来源
2014 THIRD INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA 2014) | 2014年
关键词
PM2.5; seasonal variation; spatial variation; Guangzhou; POLYCYCLIC AROMATIC-HYDROCARBONS; RIVER DELTA REGION; AIR-POLLUTION; CARBONACEOUS AEROSOL; SEASONAL-VARIATIONS; PARTICULATE MATTER; OPTICAL-PROPERTIES; PM10; AMBIENT; EXPOSURE;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As the main pollutants in the atmosphere, PM10 and PM2.5 get much attention and become primary focus recently due to their significant effect on human health. In this paper, the paralleled 24-hour average concentrations of P-10 and PM2.5 during June 2012 to May 2013 are obtained from 13 monitoring stations which spread all over the Guangzhou (China). The characteristics variations of Pi% and PM2.5 are analyzed using SPSS software. According to the curves of PM10 and PM2.5, it can be found that these two curves (Pi% and PM2.5) are considerable volatility but quite similar trend with high correlation. The regression analysis between Pi% and PM2.5 are finished, the equation is PM10=1.26*PM2.5+3.28(R-2=0.94). Meanwhile, the ratio (PM2.5/13M10) is analyzed to explore which one is the main pollution type in Guangzhou. Based on our work, we find that:(i) the ratio is range from 0.42 to 0.98 with the average value of 0.76, which suggests that PM2.5 is the main pollution type and greater than PM2.5-10 in Guangzhou; (ii) seasonal variation of the ratios are shown as followed: Winter (0.80) = Autumn (0 80) > Spring (0.76) > Summer (0.62). (iii) Spatially, the maximum value of the ratio (0.85) occurs in South (Panyu) of Guangzhou, followed by Center (0.76), North (Conghua, 0.75) and Northwest (Huatlu, 0.72) of Guangzhou orderly. Lastly, the spatial concentration map of Pi% and PM2.5 is drawn using GIS.
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页数:5
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