ICP-AES法测定土壤样品中铜的不确定度评定

建立电感耦合等离子体原子发射光谱法（ICP-AES）测定土壤样品中铜的数学模型,分析不确定度产生原因,并对引起的不确定度分量进行量化,最终合成标准不确定度,通过乘以95%概率下的扩展因子2,获得测量结果的扩展不确定度。     

Atmospheric concentrations of PAHs, their possible sources and gas-to-particle partitioning at a residential site of Bursa, Turkey

Atmospheric PAH concentrations were determined in Gulbahce district of Bursa, Turkey between August 2004 and April 2005. Measured PAH concentrations were classified as heating and non-heating season samples. The concentrations of total PAHs in heating season were almost ten times higher than those in non-heating season. Diagnostic ratios and factor analysis results show that in the heating season traffic along with residential heating emissions heavily influence PAH concentrations. The plot of logK_p versus logP_L⁰ for all the data set of heating and non-heating season samples gave significantly different slopes. The slope for the heating season samples (− 0.92) was steeper than the one for the non-heating season samples (− 0.78). The partitioning results for individual samples further indicated that slope values varied depending on air parcel trajectories. Air parcels traveled over water (either over the Black Sea or Aegean Sea) prior to arriving at the sampling site had less steep slopes. Partitioning of PAHs was also investigated by comparing experimentally determined K_p values with the results obtained both from octanol-based model (K_p(Oct.)) and soot and octanol-based model (K_p (Soot + Oct.)). Both models were useful in predicting the experimental K_p values. However, they did not explain the observed variability in the experimental K_p values.     

仿射坐标系下的因子分析—仿射因子分析

传统的因子分析以正交坐标系为其基础坐标系,因而存在某种固有缺陷。文中提出以仿射坐标系为因子分析的基础坐标系,并进而给出了仿射因子分析的方法。新方法不仅消除了原方法所存在的缺陷,同时还实现了样品和变量空间的统一。