DOI: 10.1016/j.atmosenv.2017.08.068
Scopus记录号: 2-s2.0-85029355419
论文题名: Temporal multiscaling characteristics of particulate matter PM10 and ground-level ozone O3 concentrations in Caribbean region
作者: Plocoste T ; , Calif R ; , Jacoby-Koaly S
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 169 起始页码: 22
结束页码: 35
语种: 英语
英文关键词: Intermittency
; Lognormal model
; Multifractal analysis
; Ozone
; PM10
; Spectral analysis
Scopus关键词: Atmospheric humidity
; Codes (symbols)
; Fractals
; Ozone
; Pollution
; Power spectrum
; Spectrum analysis
; Time series
; Atmospheric pollutants
; Intermittency
; Log-normal model
; Multi-fractal property
; Multi-fractal spectrum
; Multifractal analysis
; Multifractal detrended fluctuation analysis
; PM10
; Air pollution
; ozone
; atmospheric pollution
; concentration (composition)
; dust
; fractal analysis
; numerical model
; ozone
; particulate matter
; power law
; spectral analysis
; spectrum
; statistical analysis
; temporal variation
; time series
; air pollutant
; Article
; Caribbean
; climate
; Fourier analysis
; Guadeloupe
; humidity
; Kolmogorov theory
; law
; particulate matter
; power spectrum
; priority journal
; space
; statistics
; theory
; time series analysis
; Guadeloupe
; Leeward Islands [Lesser Antilles]
; Sahara
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: A good knowledge of the intermittency of atmospheric pollutants is crucial for air pollution management. We consider here particulate matter PM10 and ground-level ozone O3 time series in Guadeloupe archipelago which experiments a tropical and humid climate in the Caribbean zone. The aim of this paper is to study their scaling statistics in the framework of fully developed turbulence and Kolmogorov's theory. Firstly, we estimate their Fourier power spectra and consider their scaling properties in the physical space. The power spectra computed follows a power law behavior for both considered pollutants. Thereafter we study the scaling behavior of PM10 and O3 time series. Contrary to numerous studies where the multifractal detrended fluctuation analysis is frequently applied, here, the classical structure function analysis is used to extract the scaling exponent or multifractal spectrum ζ(q); this function provides a full characterization of a process at all intensities and all scales. The obtained results show that PM10 and O3 possess intermittent and multifractal properties. The singularity spectrum MS(α) also confirms both pollutants multifractal features. The originality of this work comes from a statistical modeling performed on ζ(q) and MS(α) by a lognormal model to compute the intermittency parameter μ. By contrast with PM10 which mainly depends on puffs of Saharan dust (synoptic-scale), O3 is more intermittent due to variability of its local precursors. The results presented in this paper can help to better understand the mechanisms governing the dynamics of PM10 and O3 in Caribbean islands context. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82794
Appears in Collections: 气候变化事实与影响
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作者单位: EA 4935 - LARGE (Laboratoire de Recherche en Géosciences et Energies), groupe Aérosol, Département de Physique, Université des Antilles, Pointe-à-Pitre, Guadeloupe; EA 4935 - LARGE (Laboratoire de Recherche en Géosciences et Energies), groupe Energies, Département de Physique, Université des Antilles, Pointe-à-Pitre, Guadeloupe
Recommended Citation:
Plocoste T,, Calif R,, Jacoby-Koaly S. Temporal multiscaling characteristics of particulate matter PM10 and ground-level ozone O3 concentrations in Caribbean region[J]. Atmospheric Environment,2017-01-01,169