DOI: 10.1016/j.atmosenv.2015.08.051
Scopus记录号: 2-s2.0-84939862767
论文题名: Retrospective source attribution for source-oriented sampling
作者: Bein K ; J ; , Zhao Y ; , Wexler A ; S
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 119 起始页码: 228
结束页码: 239
语种: 英语
英文关键词: Aerosol health effects
; Fresno air quality
; Single particle mass spectrometry
; Source attribution
; Source-oriented sampling
Scopus关键词: Air quality
; Housing
; Mass spectrometers
; Mass spectrometry
; Pattern recognition
; Health effects
; Individual particles
; Oriented particles
; Residential heating
; Sampling particles
; Single particle mass spectrometers
; Single particle mass spectrometry
; Source attribution
; Pattern recognition systems
; aerosol composition
; air quality
; atmospheric pollution
; human activity
; mass spectrometry
; particle size
; pattern recognition
; pollutant source
; real time
; sampler
; sampling
; temporal variation
; traffic emission
; wind direction
; air pollution
; air sampler
; air sampling
; Article
; cooking
; exhaust gas
; heating
; particulate matter
; pollution monitoring
; priority journal
; retrospective source attribution
; source oriented sampling
; summer
; wind
; winter
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Previous work successfully implemented a novel system that uses a single particle mass spectrometer to conditionally sample size-segregated, source-oriented particles from the ambient atmosphere in real-time. The underlying hypothesis is that the composition of individual particles is a metric of particle source and thus sampling particles based on composition should be synonymous with sampling based on source. System operation relies on real-time pattern recognition to control the actuation of different ChemVol samplers, where each ChemVol is associated with a unique composition signature. In the current work, a synthesis of data collected during these studies is used in retrospect to reconcile the actual source combinations contributing to the particles collected by each ChemVol. Source attribution is based on correlations between ChemVol sampling periods and coincident wind direction and temporal emissions patterns, coupled to knowledge of single particle composition and surrounding sources. Residential and commercial cooking, vehicular emissions, residential heating and highly processed regional background PM were identified as the major sources. Results show that real-time patterns in single particle mixing state correctly identified specific sources and that these sources were successfully separated into different ChemVols for both summer and winter seasons. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81536
Appears in Collections: 气候变化事实与影响
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作者单位: Air Quality Research Center, University of California, Davis, United States; Center for Health and the Environment, University of California, Davis, United States; Mechanical and Aeronautical Engineering, University of California, Davis, United States; Civil and Environmental Engineering, University of California, Davis, United States; Land, Air and Water Resources, University of California, Davis, United States; Crocker Nuclear Laboratory, University of California, Davis, United States
Recommended Citation:
Bein K,J,, Zhao Y,et al. Retrospective source attribution for source-oriented sampling[J]. Atmospheric Environment,2015-01-01,119