Khan Md Firoz, Latif Mohd Talib, Amil Norhaniza, Juneng Liew, Mohamad Noorlin, Nadzir Mohd Shahrul Mohd, Hoque Hossain Mohammed Syedul
Centre for Tropical Climate Change System (IKLIM), Institute for Climate Change, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia,
Environ Sci Pollut Res Int. 2015 Sep;22(17):13111-26. doi: 10.1007/s11356-015-4541-4. Epub 2015 May 1.
Principal component analysis (PCA) and correlation have been used to study the variability of particle mass and particle number concentrations (PNC) in a tropical semi-urban environment. PNC and mass concentration (diameter in the range of 0.25->32.0 μm) have been measured from 1 February to 26 February 2013 using an in situ Grimm aerosol sampler. We found that the 24-h average total suspended particulates (TSP), particulate matter ≤10 μm (PM10), particulate matter ≤2.5 μm (PM2.5) and particulate matter ≤1 μm (PM1) were 14.37 ± 4.43, 14.11 ± 4.39, 12.53 ± 4.13 and 10.53 ± 3.98 μg m(-3), respectively. PNC in the accumulation mode (<500 nm) was the most abundant (at about 99 %). Five principal components (PCs) resulted from the PCA analysis where PC1 (43.8 % variance) predominates with PNC in the fine and sub-microme tre range. PC2, PC3, PC4 and PC5 explain 16.5, 12.4, 6.0 and 5.6 % of the variance to address the coarse, coarser, accumulation and giant fraction of PNC, respectively. Our particle distribution results show good agreement with the moderate resolution imaging spectroradiometer (MODIS) distribution.
主成分分析(PCA)和相关性分析已被用于研究热带半城市环境中颗粒物质量和颗粒物数量浓度(PNC)的变异性。2013年2月1日至2月26日期间,使用原位格林姆气溶胶采样器测量了PNC和质量浓度(直径范围为0.25->32.0μm)。我们发现,24小时平均总悬浮颗粒物(TSP)、粒径≤10μm的颗粒物(PM10)、粒径≤2.5μm的颗粒物(PM2.5)和粒径≤1μm的颗粒物(PM1)分别为14.37±4.43、14.11±4.39、12.53±4.13和10.53±3.98μg m(-3)。积聚模态(<500nm)中的PNC最为丰富(约占99%)。PCA分析产生了五个主成分(PC),其中PC1(方差占43.8%)以细颗粒和亚微米范围内的PNC为主。PC2、PC3、PC4和PC5分别解释了16.5%、12.4%、6.0%和5.6%的方差,以分别对应PNC的粗颗粒、更粗颗粒、积聚颗粒和巨颗粒部分。我们的颗粒物分布结果与中分辨率成像光谱仪(MODIS)的分布结果显示出良好的一致性。