DOI: 10.1016/j.atmosenv.2014.05.035
Scopus记录号: 2-s2.0-84903165030
论文题名: The application of wavelet decomposition to quantify the local and regional sources of ultrafine particles in cities
作者: Sabaliauskas K ; , Jeong C ; -H ; , Yao X ; , Evans G ; J
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 95 起始页码: 249
结束页码: 257
语种: 英语
英文关键词: Coefficient of divergence
; Spatiotemporal variation
; Traffic
; Ultrafine particles
; Wavelet decomposition
Scopus关键词: Telecommunication traffic
; Time series
; Wavelet decomposition
; Coefficient of divergence
; Concentration-time
; Decomposition algorithm
; High heterogeneity
; Particle concentrations
; Particle number concentration
; Spatio-temporal variation
; Ultrafine particle
; Urban growth
; buffer
; air quality
; algorithm
; concentration (composition)
; homogeneity
; regional pattern
; site investigation
; time series
; urban area
; wavelet analysis
; algorithm
; article
; Canada
; city
; decomposition
; particulate matter
; priority journal
; quantitative analysis
; time series analysis
; traffic
; Canada
; Ontario [Canada]
; Toronto
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: This study explores the application of wavelet decomposition as a means to distinguish between local and regional sources of ultrafine particles (UFP). Particle number concentrations were measured at a central site, two downtown sites, and four residential sites located across Toronto, Canada. Using a wavelet decomposition algorithm, particle concentration time series were separated into two signals: high frequency local-to-neighbourhood scale sources and low frequency urban-to-regional scale sources and processes. At the field sites, local-neighbourhood sources contributed between 13 and 32% of the total particle concentration. The urban-regional signal at each field site exhibited stronger correlation and greater homogeneity with respect to the central site than the original concentration time series. In contrast, the high frequency local-neighbourhood source signals exhibited limited correlation and high heterogeneity with respect to the central site. Traffic volume within a 2.5km buffer explained 87% of the variability in the local-neighbourhood level signal observed between field sites while no significant association with traffic was found for the original particle number concentration data. This study has demonstrated that wavelet decomposition can be a useful tool for estimating exposure to UFP from local-neighbourhood and urban-regional scale sources and processes. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80881
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Southern Ontario Centre for Atmospheric Aerosol Research, Department of Chemical Engineering and Applied Chemistry, University of Toronto, 200 College St., Toronto, ON M5S 3E5, Canada
Recommended Citation:
Sabaliauskas K,, Jeong C,-H,et al. The application of wavelet decomposition to quantify the local and regional sources of ultrafine particles in cities[J]. Atmospheric Environment,2014-01-01,95