title: A new receptor model-incremental lifetime cancer risk method to quantify the carcinogenic risks associated with sources of particle-bound polycyclic aromatic hydrocarbons from Chengdu in China.
abstract: PM10 and PM2.5 samples were simultaneously collected during a one-year monitoring period in Chengdu. The concentrations of 16 particle-bound polycyclic aromatic hydrocarbons (Σ16PAHs) were measured. Σ16PAHs concentrations varied from 16.85 to 160.24 ng m(-3) and 14.93 to 111.04ngm(-3) for PM10 and PM2.5, respectively. Three receptor models (principal component analysis (PCA), positive matrix factorization (PMF), and Multilinear Engine 2 (ME2)) were applied to investigate the sources and contributions of PAHs. The results obtained from the three receptor models were compared. Diesel emissions, gasoline emissions, and coal and wood combustion were the primary sources. Source apportionment results indicated that these models were able to track the ΣPAHs. For the first time, the cancer risks for each identified source were quantitatively calculated for ingestion and dermal contact routes by combining the incremental lifetime cancer risk (ILCR) values with the estimated source contributions. The results showed that gasoline emissions posed the highest cancer risk, even though it contributed less to Σ16PAHs. The results and method from this work can provide useful information for quantifying the toxicity of source categories and studying human health in the future.
authors.affiliation: State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
authors.forename: Gui-Rong
authors.initials: GR
authors.lastname: Liu
authors.affiliation: State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
authors.forename: Xing
authors.initials: X
authors.lastname: Peng
authors.affiliation: College of Software, Nankai University, 94 Weijin Road, Tianjin 300071, China.
authors.forename: Rong-Kang
authors.initials: RK
authors.lastname: Wang
authors.affiliation: State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
authors.forename: Ying-Ze
authors.initials: YZ
authors.lastname: Tian
authors.affiliation: State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China. Electronic address: nksgl@hotmail.com.
authors.forename: Guo-Liang
authors.initials: GL
authors.lastname: Shi
authors.affiliation: State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
authors.forename: Jian-Hui
authors.initials: JH
authors.lastname: Wu
authors.affiliation: Chengdu Acedemy of Environmental Sciences, Chengdu 61000, China.
authors.forename: Pu
authors.initials: P
authors.lastname: Zhang
authors.affiliation: Chengdu Acedemy of Environmental Sciences, Chengdu 61000, China.
authors.forename: Lai-Dong
authors.initials: LD
authors.lastname: Zhou
authors.affiliation: State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
authors.forename: Yin-Chang
authors.initials: YC
authors.lastname: Feng
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D002273:Carcinogens / Q000032:analysis*; D002681:China; D004784:Environmental Monitoring; D006801:Humans; D008962:Models, Theoretical; D009369:Neoplasms / Q000453:epidemiology; D052638:Particulate Matter / Q000032:analysis; D011084:Polycyclic Aromatic Hydrocarbons / Q000032:analysis*; D025341:Principal Component Analysis; D018570:Risk Assessment; D001335:Vehicle Emissions / Q000032:analysis
chemical_list: D000393:Air Pollutants; D002273:Carcinogens; D052638:Particulate Matter; D011084:Polycyclic Aromatic Hydrocarbons; D001335:Vehicle Emissions
keywords: Cancer risk apportionment; Multilinear Engine 2; Polycyclic aromatic hydrocarbons; Positive matrix factorization; Receptor model-incremental lifetime cancer risk