科研成果 by Year: 2014

2014
Zheng M*, Yan CQ, Li XX, Wang XS, Zhang YH. A review of methods for quantifying secondary organic aerosol. China Environmental Science [Internet]. 2014;34(3):555-564. LINKAbstract
Regional air pollution is complex and becomes increasingly important in China.Among many others,secondary organic aerosol(SOA) is one of the most important components of PM2.5.This paper discusses various methods for quantifying SOA in the atmosphere(including methods based on the EC tracer,WSOC,receptor model,the SOA tracers,and air quality model),presents the basic principle of each method and points out that 1) the EC-tracer method,the WSOC method and the receptor model method are relatively simple and convenient,but limited by the availability of local source profiles and some specific tracers;2) the SOA-tracer method is analytically challenging but can supply source-specific SOA information;and 3) the air quality model method can provide large scale spatial distribution of SOA.This paper also summarizes the most recent results of SOA research in China and abroad and indicates that SOA is important in organic aerosol,and anthropogenic VOCs play a significant role in SOA formation in China.The primary purpose of this review is to provide basic and integrated information and suggestion for future directions of SOA study in China.
Zheng M*, Zhang YJ, Yan CQ, Zhu XL, Schauer JJ, Zhang YH*. Review of PM2.5Source Apportionment Methods in China(In Chinese). Acta Scientiarum Naturalium Universitatis Pekinensis [Internet]. 2014;50 (6):1141-1147. LINKAbstract
For the first time, PM2.5 source apportionment methods and techniques previously and currently applied in China are summarized, including sampling preparation, sampler selection, chemical speciation analysis, and source apportionment tools. The research direction for PM2.5 source apportionment work in China is also suggested. This review is expected to provide a fundamental understanding of PM2.5 source apportionment methods and to serve as an important reference for future source apportionment studies to be widely conducted in China and regulations or law for PM2.5 abatement in China.
Zheng M*, Yan CQ, Yang QY, Qiu XH*, Fu HY, Li XY, Zhu T. Characteristics of personal exposure to polycyclic aromatic hydrocarbons in public transportation microenvironments in Beijing(In Chinese). Research of Environmental Sciences [Internet]. 2014;27 (9):965-974. LINKAbstract
Characteristics and sources of particle-bound polycyclic aromatic hydrocarbons (PAHs) in PMin three typical transportation microenvironments were investigated, and the health risks were assessed. Fine particle exposure by pedestrians and commuters taking buses and subways were collected using personal exposure samplers in December 2011 in Beijing. Concentrations of multiple PAHs were measured by gas chromatography-mass spectrometry (GC-MS). Sources of PAHs were identified by distribution patterns and ratios of different PAHs. Health risk assessments associated with respiratory exposure to PAHs were conducted based on benzopyrene (BaP) equivalent concentrations (BEQ), BaP based equivalent carcinogenic power (BaPE) and inhalation cancer risk. The results showed that:1) The average exposure level of PAHs in roadside, buses, and subways were (120±119), (101±46.6), and (50.8±25.6) ng/m, respectively. 2) The similarity of PAHs distribution patterns in the three transportation microenvironments and the ratios of PAHs ρ(Flt)/[ρ(Flt)+ρ(Pyr)] and ρ(IcdP)/[ρ(IcdP)+ρ(BghiP)]>0.5, ρ(BaA)/[ρ(BaA)+ρ(Chr)]>0.35 suggested common sources in these environments, mainly from vehicle emissions and coal combustion. 3) Inhalation cancer risk (19.8×10 -6, California Environmental Protection Agency(CalEPA)-based method; 15.6×10 -4, World Health Organization (WHO)-based method) was found to be highest in the roadside environment, about 1.4 and 3.6 times those for buses and subways, respectively. 4) PAHs were more enriched under the roadside and bus environments. Exposure to PAHs and the health risks obviously increased in the roadside environment during days with elevated PMconcentrations.
郑玫, 闫才青, 杨巧云, 邱兴华, 付怀于, 李小滢, 朱彤. 北京市公共交通环境多环芳烃的个体暴露特征. 环境科学研究. 2014;(09):965-974.Abstract
对北京市3种典型交通环境下PM2.5中PAHs(多环芳烃)的污染水平、来源及其暴露健康风险进行了研究.于2011年12月利用颗粒物个体暴露采样器采集北京市道路边、公共汽车、地铁等不同交通环境下的PM2.5样品,采用GC-MS测定ρ(PAHs),结合PAHs组成特征以及特征化合物比值等鉴别PAHs来源,根据苯并[a]芘等效毒性(BEQ)、等效致癌浓度(BaPE)及致癌风险等参数评估PAHs呼吸暴露的健康风险.结果显示:1观测期间,北京市道路边、公共汽车和地铁内ρ(∑PAHs)平均值分别为(120±119)、(101±46.6)、(50.8±25.6)ngm3;23种交通环境下PAHs特征成分谱相似,ρ(荧蒽)[ρ(荧蒽)+ρ(芘)]、ρ(茚并[1,2,3-cd]芘)[ρ(茚并[1,2,3-cd]芘)+ρ(苯并[g,h,i]苝)]均大于0.5,ρ(苯并[a]蒽)[ρ(苯并[a]蒽)+ρ()]大于0.35,表明机动车尾气和燃煤排放是北京冬季3种交通环境下PAHs的重要贡献源;3分别采用美国加州环境保护局(California Environment Protection Agency,CalEPA)和世界卫生组织(World Health Organization,WHO)方法计算致癌风险可知,2种方法计算的道路边PAHs的致癌风险(19.8×10-6、15.6×10-4)最高,约为公共汽车及地铁内的1.4和3.6倍;4道路边与公共汽车内的PAHs在PM2.5中更为富集,道路边PAHs污染水平及健康风险在高ρ(PM2.5)环境下增加显著.
Yan C, Zheng M*, Zhang Y. Research progress and direction of atmospheric brown carbon. Environmental Science [Internet]. 2014;35:4404—4414. LINK
Guo X, SiTu SP, Wang X, Xiang D, Wang X, Yan C, Li X, Zheng M*. Numerical modeling analysis of secondary organic aerosol (SOA) combined with the ground-based measurements in the Pearl River Delta region. Environmental Science [Internet]. 2014;35:1654—1661. LINK
Fu H, Yan C, Zheng M*, Cai J, Li X, Zhang Y, ZHOU Z, Fu Z, Li M, Li L, et al. Application of on-line single particle aerosol mass spectrometry (SPAMS) for studying major components in fine particulate matter. Environmental Science [Internet]. 2014;35:4070—4077. LINK
Wang JD, Wang SX*, Jiang JK, Ding AJ, Zheng M*, Zhao B, Wong DC, Zhou W, Zheng GJ, Wang L, et al. Impact of aerosol-meteorology interactions on fine particle pollution during China's severe haze episode in January 2013. Environ. Res. Lett. [Internet]. 2014;9:9. LINKAbstract
In January 2013, a severe regional haze occurred over the North China Plain. An online-coupled meteorology-chemistry model was employed to simulate the impacts of aerosol–meteorology interactions on fine particles (PM2.5) pollution during this haze episode. The response of PM2.5 to meteorology change constituted a feedback loop whereby planetary boundary layer (PBL) dynamics amplified the initial perturbation of PM2.5. High PM2.5concentrations caused a decrease of surface solar radiation. The maximal decrease in daily average solar radiation reached 53% in Beijing, thereby leading to a more stable PBL. The peak PBL height in Beijing decreased from 690 m to 590 m when the aerosol extinction was considered. Enhanced PBL stability suppressed the dispersion of air pollutants, and resulted in higher PM2.5 concentrations. The maximal increase of PM2.5 concentrations reached 140 μg m−3 in Beijing. During most PM2.5 episodes, primary and secondary particles increased simultaneously. These results imply that the aerosol–radiation interactions played an important role in the haze episode in January 2013.
Patterson RF, Zhang QF, Zheng M*, Zhu YF*. Particle Deposition in Respiratory Tracts of School-Aged Children. Aerosol Air Qual. Res. 2014;14(1):64-73.Abstract
Exposure to ultrafine particles poses a potential health risk to school children. While many studies have focused on measuring ultrafine particle (UFP) concentrations in environments where children are at risk of high exposure, few studies have examined the particle deposition in the respiratory tract of children. This study aims to examine the particle deposition in the respiratory tract of school children in different microenvironments. UFP size distribution data were collected in residential homes, school buses, school classrooms, and from school outdoor air in both rural and urban areas of South Texas. The size distribution data were input to the Multiple Path Particle Dosimetry model to calculate regional and total particle deposition fraction. A 24-hour-school-day exposure was simulated by adding the time children spend in each microenvironment. The maximum pulmonary deposition fraction occurs at a diameter ranging from 18 to 40 nm, depending on condition. Age mostly affected the pulmonary region and the total lung deposition with the highest deposition fraction observed for younger children. In addition, comparison of size-dependent regional deposition and particle concentration establishes an accurate depiction of children's exposure and dose profiles. While children only spend 4% of the day in the home source environment, that environment may account for up to 77% of total daily dose intake. Higher deposition fraction occurs at smaller particle size. Younger children show increased levels of particle deposition than older children. Exposure period does not correlate to daily percentage of dose intake. This research can be used to assess children's accumulative exposure to UFPs.
Zheng M*, Zhao X, Cheng Y, Yan C, Shi W, Zhang X, Weber RJ, Schauer JJ, Wang X, Edgerton ES. Sources of primary and secondary organic aerosol and their diurnal variations. Journal of Hazardous Materials [Internet]. 2014;264:536 - 544. LINK
Du Z, He K*, Cheng Y*, Duan F, Ma Y, Liu J, Zhang X, Zheng M*, Weber R. A yearlong study of water-soluble organic carbon in Beijing I: Sources and its primary vs. secondary nature. Atmospheric Environment [Internet]. 2014;92:514 - 521. LINK
Du Z, He K*, Cheng Y*, Duan F, Ma Y, Liu J, Zhang X, Zheng M*, Weber R. A yearlong study of water-soluble organic carbon in Beijing II: Light absorption properties. Atmospheric Environment [Internet]. 2014;89:235 - 241. LINK
Cheng Y, Engling G, He K*, Duan F, Du Z, Ma Y, Liang L, Lu Z, Liu J, Zheng M*, et al. The characteristics of Beijing aerosol during two distinct episodes: Impacts of biomass burning and fireworks. Environmental Pollution [Internet]. 2014;185:149 - 157. LINK
Cheng Y*, He K*, Duan F, Du Z, Zheng M*, Ma Y. Ambient organic carbon to elemental carbon ratios: Influence of the thermal–optical temperature protocol and implications. Science of The Total Environment [Internet]. 2014;468:1103 - 1111. LINK