Inhalation cancer risk estimation of source-specific personal exposure for particulate matter–bound polycyclic aromatic hydrocarbons based on positive matrix factorization
| Autor: | Yan You, Fei He, Yating Liu, Can Niu, Zhipeng Bai, Xiao Ding, Bin Han, Jiefeng Zhang, Jian Zhou, Nan Zhang, Jia Xu |
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| Přispěvatelé: | School of Civil and Environmental Engineering, Energy Research Institute @ NTU (ERI@N) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Pollution
Risk analysis China Health Toxicology and Mutagenesis media_common.quotation_subject Air pollution Lung Cancer Risk Assessment 010501 environmental sciences medicine.disease_cause Risk Assessment 01 natural sciences Gas Chromatography-Mass Spectrometry Apportionment Air Pollution Neoplasms Environmental health medicine Humans Environmental Chemistry Nonnegative matrix Polycyclic Aromatic Hydrocarbons Vehicle Emissions 0105 earth and related environmental sciences media_common Air Pollutants Inhalation Exposure Inhalation General Medicine Particulates Environmental engineering [Engineering] Environmental science Particulate Matter Environmental Pollution Risk assessment Environmental Monitoring |
| Popis: | In previous studies, inhalation cancer risk was estimated using conventional risk assessment method, which was normally based on compound-specific analysis, and cannot provide substantial data for source-specific particulate matter concentrations and pollution control. In the present study, we applied an integrated risk analysis method, which was a synthetic combination of source apportionment receptor model and risk assessment method, to estimate cancer risks associated to individual PAHs coming from specific sources. Personal exposure particulate matter samples referring to an elderly panel were collected in a community of Tianjin, Northern China, in 2009, and 12 PAH compounds were measured using GC-MS. Positive matrix factorization (PMF) was used to extract the potential sources and quantify the source contributions to the PAH mixture. Then, the lung cancer risk of each modeled source was estimated by summing up the cancer risks of all measured PAH species according to the extracted source profile. The final results indicated that the overall cancer risk was 1.12 × 10−5, with the largest contribution from gasoline vehicle emission (44.1%). Unlike other risk estimation studies, this study was successful in combining risk analysis and source apportionment approaches, which allow estimating the potential risk of all source types and provided suitable information to select prior control strategies and mitigate the main air pollution sources that contributing to health risks. This study was funded by the "National Basic Research Program of China" (Grant No. 2011CB503801). |
| Databáze: | OpenAIRE |
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