Association of Cardiopulmonary Health Effects with Source-Appointed Ambient Fine Particulate in Beijing, China: A Combined Analysis from the Healthy Volunteer Natural Relocation (HVNR) Study

作者：Wu, Shaowei; Deng, Furong; Wei, Hongying; Huang, Jing; Wang, Xin; Hao, Yu; Zheng, Chanjuan; Qin, Yu; Lv, Haibo; Shima, Masayuki; Guo, Xinbiao^*

来源：Environmental Science & Technology, 2014, 48(6): 3438-3448.

DOI：10.1021/es404778w

• POSITIVE MATRIX FACTORIZATION
• AIR-POLLUTION
• SOURCE-APPORTIONMENT
• CHEMICAL-CONSTITUENTS
• DAILY MORTALITY
• BLOOD-PRESSURE
• YOUNG-ADULTS
• MATTER
• PM2.5
• DISEASE

Previous studies have associated ambient particulate chemical constituents with adverse cardiopulmonary health effects. However, specific pollution sources behind the cardiopulmonary health effects of ambient particles are uncertain. We examined the cardiopulmonary health effects of fine particles (PM2.5) from different pollution sources in Beijing, China, among a panel of 40 healthy university students. Study subjects were repeatedly examined for a series of cardiopulmonary health indicators during three 2-month-long study periods (suburban period, urban period 1, and urban period 2) in 2010-2011 before and after relocating from a suburban campus to an urban campus with changing air pollution levels and contents. Daily ambient PM2.5 mass samples were collected over the study and measured for 29 chemical constituents in the laboratory. Source appointment for ambient PM2.5 was performed using Positive Matrix Factorization, and mixed-effects models were used to estimate the cardiopulmonary effects associated with source-specific PM2.5 concentrations. Seven PM2.5 sources were identified as traffic emissions (12.0%), coal combustion (22.0%), secondary sulfate/nitrate (30.2%), metallurgical emission (0.4%), dust/soil (12.4%), industry (6.9%), and secondary organic aerosol (9.9%). Ambient PM2.5 in the suburban campus had larger contributions from secondary sulfate/nitrate (41.8% vs. 22.9%-26.0%) and metallurgical emission (0.7% vs. 0.3%) as compared to that in the urban campus), whereas PM2.5 in the urban campus had larger contributions from traffic emissions (13.0%-16.3% vs. 5.1%), coal combustion (21.0%-30.7% vs. 10.7%), and secondary organic aerosol (9.7%-12.0% vs. 8.7%) as compared to that in the suburban campus. Potential key sources were identified for PM2.5 effects on inflammatory biomarkers (secondary sulfate/nitrate and dust/soil), blood pressure (coal combustion and metallurgical emission), and pulmonary dust/soil and industry). Analyses using another source appointment tool Unmix yielded a similar pattern of source contributions and associated health effects. In conclusion, ambient PM2.5 in Beijing suburban and urban areas has two distinct patterns of source contributions, and PM2.5 from different sources may play important roles on different aspects of PM2.5-related cardiopulmonary health effects.

• 出版日期2014-3-18
• 单位北京大学