Comparison of receptor models for source identification of organophosphate esters in major inflow rivers to the Bohai Sea, China
Comparison of receptor models for source identification of organophosphate esters in major inflow rivers to the Bohai Sea, China
复制标题
渤海主要入海河流有机磷酸酯来源识别受体模型比较
DOI：
10.1016/j.envpol.2020.114970
复制
发表时间：
2020
影响因子：
8.9
通讯作者：
Xindong Ma
中科院分区：
文献类型：
--
作者：
Yanjie Qi;Xing Liu;Zhen Wang;Ziwei Yao;Wenjun Yao;Kuixing Shangguan;Minghao Li;Hongxia Ming;Xindong Ma
更好地了解有机磷酸酯(OPE)的来源是控制OPE和制定相关环境政策的先决条件。利用主成分分析-多元线性回归、正矩阵分解和非混合3种有效的受体模型对中国渤海35条主要入海河流有机污染物的来源进行了定量分析。深入讨论了PCA-MLR、PMF和UnMix结果的异同。这三个模型都很好地预测了9种有机有机污染物(∑90OPEs)(∑90OPEs)的空间变异性，并解释了观测到的98.4%-101.2的PM90OPEs(R2=0.900.96，p=0.000)。各配对模型预测的∑9OPEs值具有显著相关性(R2=0.88~0.91，P=0.000)。三种模型分别提取了硬质和软质聚氨酯泡沫塑料/涂料、纤维素/丙烯酸/乙烯基聚合物/不饱和聚酯和聚氯乙烯，分别占∑-MLR的49.9%、29.7%和20.5%，PMF的57.9%、28.6%和13.5%，以及未混合的47.9%、30.8%和22.4%。由于PMF的最佳性能，建议将其作为监测期间分析水中OPE来源的首选受体模型。
A better understanding of the sources of organophosphate esters (OPEs) is a prerequisite for OPE control and the establishment of related environmental policies. Sources of OPEs in 35 major inflow rivers to the Bohai Sea of China were quantitatively analyzed using three effective receptor models (principal component analysis-multiple linear regression (PCA-MLR), positive matrix factorization (PMF), and Unmix) in this paper. The similarities and differences in results from PCA-MLR, PMF, and Unmix were discussed in depth. All three models well predicted the spatial variability of the total concentrations of nine OPEs (triethyl phosphate, tri-n-butyl phosphate, triisobutyl phosphate, tri (2-ethylhexyl) phosphate, tri (2-chloroethyl) phosphate, tris(1-chloro-2-propyl) phosphate, tris(1,3-dichloro-2-propyl) phosphate, triphenyl phosphate, and triphenylphosphine oxide) (∑9OPEs) (r2= 0.90–0.96,p= 0.000) and explained 98.4%–101.2% of the observed ∑9OPEs. The predicted ∑9OPEs values from each pairwise model were significantly correlated (r2= 0.88–0.91,p= 0.000). Three OPE sources were extracted by all three models: rigid and flexible polyurethane foam/coating, cellulosic/acrylic/vinyl polymer/unsaturated polyester, and polyvinyl chloride, contributing 49.9%, 29.7%, and 20.5% by PCA-MLR, 57.9%, 28.6%, and 13.5% by PMF, and 47.9%, 30.8%, and 22.4% by Unmix to the ∑9OPEs, respectively. PMF was recommended as the preferred receptor model for analyzing OPE sources in water during the monitoring period because of its optimal performance.