Receptor models are a useful tool for identifying sources of polycyclic aromatic hydrocar-bons(PAHs)in multiple environmental media.In this study,three different receptor models(including the principal component analysis-multiple linear regression(PCA-MLR),positive matrix factorization(PMF),and Unmix models)were used to apportion the sources of 16 priority PAHs in a sediment core of Lake Dagze Co.The ∑PAHs(sum of all 16 measured PAHs)concentrations ranged from 51.89 to 132.82 ng/g with an average of 80.39 ng/g.The∑PAHs were dominated by 2-3 ring PAHs,accounting for 80.12％on average,thereby indicat-ing that they mainly originated from biomass and coal combustion and/or from long-range atmospheric transportation.The three models produced consistent source apportionment results.The greatest contributor to ∑PAHs was biomass combustion,followed by coal com-bustion,vehicle emissions,and petrogenic sources.Moreover,the temporal variation of the common sources was well-correlated among models.The multi-method comparison and evaluation results showed that all three models were useful tools for source apportionment of PAHs,with the PMF model providing better results than the PCA-MLR and Unmix mod-els.The temporal trends of factor contributions were verified by PAHs with different ring numbers.Significant correlations were found between the simulated concentrations of each source factor and the PAHs with different ring numbers(P＜0.01),except for the petrogenic source identified by the Unmix model(P＞0.05).This study can provide useful information for further investigation of source apportionment of PAHs in the sediment cores.

School of Geography,Nanjing Normal University,Nanjing 210023,China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing Normal University,Nanjing 210023,China;Key Laboratory of Virtual Geographic Environment(Nanjing Normal University),Ministry of Education,Nanjing 210023,China;State Key Laboratory Cultivation Base of Geographical Environment Evolution(Jiangsu Province),Nanjing 210023,China

[1]Yixin Bai;Kunlin Shi;Heyu Yu;Nana Shang;Weiyue Hao;Chuan Wang;Tao Huang;Hao Yang;Changchun Huang-.Source apportionment of polycyclic aromatic hydrocarbons(PAHs)in a sediment core from Lake Dagze Co,Tibetan Plateau,China:Comparison of three receptor models)[J].环境科学学报（英文版）,2022(11):224-233

apportionment,Dagze,apportion,petrogenic

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