DOI: 10.1016/j.atmosenv.2015.08.058
Scopus记录号: 2-s2.0-84940733354
论文题名: Characteristics of the east Mediterranean dust variability on small spatial and temporal scales
作者: Yuval, Sorek-Hamer M ; , Stupp A ; , Alpert P ; , Broday D ; M
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 120 起始页码: 51
结束页码: 60
语种: 英语
英文关键词: Cluster analysis
; Dust presence detection
; Mesoscale character of dust plumes
Scopus关键词: Balloons
; Biological materials
; Cluster analysis
; Correlation methods
; Sea level
; Airborne particulate matters
; Chemical and biologicals
; Mesoscale
; Physical characteristics
; Presence detections
; Spatial and temporal resolutions
; Spatial and temporal scale
; Spatio-temporal dynamics
; Dust
; biomaterial
; array
; atmospheric plume
; cluster analysis
; concentration (composition)
; dust
; mesoscale meteorology
; particle size
; particulate matter
; physical property
; pollutant transport
; spatiotemporal analysis
; Article
; circannual rhythm
; controlled study
; dust
; environmental temperature
; humidity
; Israeli
; mineral dust
; particulate matter
; pattern recognition
; plume
; priority journal
; probability
; sea level
; season
; signal processing
; spatial analysis
; temporal analysis
; Mediterranean Region
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: The presence of naturally-occurring dust is a conspicuous meteorological phenomenon characterised by very high load of relatively coarse airborne particulate matter (PM), which may contain also various deleterious chemical and biological materials. Much work has been carried out to study the phenomenon by modelling the generation and transport of dust plumes, and assessment of their temporal characteristics on a large (>1000 km) spatial scale. This work studies in high spatial and temporal resolution the characteristics of dust presence on the mesoscale (>100 km). The small scale variability is important both for better understanding the physical characteristics of the dust phenomenon and for PM exposure specification in epidemiological studies. Unsupervised clustering-based method, using PM10 records and their derived attributes, was developed and applied to detect the impact of dust at the observation locations of a PM10 monitoring array. It was found that dust may cover the whole study area but very often the coverage is partial. On average, the larger the spatial extent of a dust event, the higher and more homogeneous are the associated PM10 concentrations. Dust event lengths however, are only weakly associated with the PM concentrations (Pearson correlation below 0.44). The large PM concentration variability during spatially small events and the fact that their occurrence is strongly correlated with the elevation above sea level of the reporting stations (Pearson correlation 0.87, p-value < 10-5) points to small scale spatiotemporal dynamics of dust plumes. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81506
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Civil and Environmental Engineering, Technion, Israel Institute of Technology, Haifa, Israel; Department of Geophysics and Planetary Sciences, Tel-Aviv University, Tel Aviv, Israel
Recommended Citation:
Yuval, Sorek-Hamer M,, Stupp A,, Alpert P,et al. Characteristics of the east Mediterranean dust variability on small spatial and temporal scales[J]. Atmospheric Environment,2015-01-01,120