作者: Yuan Zhang , Chang-Sheng Guo , Jian Xu , Ying-Ze Tian , Guo-Liang Shi
DOI: 10.1016/J.WATRES.2012.03.006
关键词: Sediment 、 Combustion 、 Potential source 、 Environmental science 、 Principal component analysis 、 Linear regression 、 Coal 、 Environmental chemistry 、 Coal combustion products
摘要: In this work, three receptor models (Principal Component Analysis-Multiple Linear Regression (PCA-MLR) model, Unmix model and Positive Matrix Factorization (PMF) model) were employed to investigate potential source apportionment of PAHs in sediments from Taihu Lake, China. A total 15 priority 29 Lake measured, with ∑PAHs (sum PAHs) concentrations ranging 209 1003 ng g(-1) dw. Source results derived different similar, indicating that the highest contribution was vehicular emission (53.6-54.3%), followed by coal combustion (23.8-28.8%) wood (11.9-16.0%). The mixed identified PCA-MLR 41.3%. For first time risk assessment for each category quantitatively calculated combining BaP equivalents (BaPE) values estimated contributions. showed posed toxic risk, BaPE 26.9-31.5 dw, 6.56-15.6 dw 2.94-6.11 respectively. distributions studied as well, similar trends among sampling sites, category.