采用正定距阵因子分解法对武汉市夏季某PM_(2.5)样品的来源解析

Application of positive matrix factorization to identify possible sources of atmospheric PM_(2.5) in summer Wuhan

分析了2011年夏季武汉市区某采样点大气PM2.5的浓度,并用电感耦合等离子体原子发射光谱(ICP-AES)法研究了该样品中14种无机元素组成及变化特征。结果表明,PM2.5的质量浓度为100～173μg/m3,元素组成中K、Al、Na、Ca、Mg、Fe、Mn、Zn 8种元素含量较高,并运用正定矩阵因子分解法(PMF)对其来源进行了解析,5种主要来源分别为燃煤源、路面扬尘、工业源、交通源和残油燃烧,其中交通源(29%)和路面扬尘(27%)贡献较大。

The atmospheric PM2. s in downtown Wuhan were collected during the summer of 2011. The compo- sition and change characteristic of 14 inorganic elements in atmospheric PMa s was analyzed by the means of inductive- ly coupled plasma-atomic emission spectrometry （ICP-AES）. The result showed that the concentration of PM2. s ranged from 100 to 173 μg/ma and its major species consists were K, A1, Na, Ca, Mg, Fe, Mn and Zn. The daily data sets were analyzed using positive matrix faetorization （PMF） technique in order to identify possible sources and estimate their contributions to PM2.5. There were five sources resolved from PMF that contributed to the atmospheric PM2. s ; they were coal combustion, road dust, industry, traffic exhaust and residual oil combustion. Among the 5 sources, road dust and traffic exhaust were the two dominate contributors, their contributions to mass of PMa s were 29 % and 27 % respectively.