基于三维荧光光谱矩阵的PARAFAC模型中因子得分反映混合物各因子相对浓度和比例这一特征,将其应用到混合物源解析的研究。对于因子与来源物质光谱不一致的情况考虑将来源物质荧光矩阵和混合物荧光矩阵均作为模型三维数据矩阵的元素进行分析,推导出混合样品与源物质荧光矩阵之间的关系式。该关系式系数由因子得分组成,反映了混合样品各来源物贡献率的相对大小,能够作为来源物量化研究的参考指数。在湖泊污染物源解析的应用中,利用混合水样和污染源水样荧光光谱矩阵建立上述关系式,关系式各系数可作为湖泊水体污染源源解析研究的参考。
Because the factor scores of the parallel factor analysis can represent the concentration of the various factors of every mixed sample, the method of parallel factor analysis can be used for source apportionment. But the factors were not the same as the source samples sometimes. In order to achieve source apportionment, a relationship between the mixed samples and the source samples of the three--dimensional fluorescence matrix was designed. The coefficients of the relationship came from the factor scores and represented the contribution ratio of the sources. The relationship can be used for source apportionment of pollutions in water environment. And the coefficients of the relationship represented the contribution ratio of pollutant sources.