DOI: 10.1016/j.atmosenv.2016.11.004
Scopus记录号: 2-s2.0-84997693696
论文题名: Multifractal analysis of interactive patterns between meteorological factors and pollutants in urban and rural areas
作者: He H ; -D
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 149 起始页码: 47
结束页码: 54
语种: 英语
英文关键词: Cross-correlation behavior
; Meteorological factors
; Multifractality
; Pollutants
Scopus关键词: Fractals
; Pollution
; Rural areas
; Sulfur dioxide
; Wind
; Cross correlations
; Cross-correlation tests
; Detrended cross-correlation analysis
; Meteorological elements
; Meteorological factors
; Multi-fractal property
; Multifractality
; Pollutants
; Atmospheric temperature
; carbon monoxide
; nitrogen oxide
; sulfur dioxide
; environmental factor
; environmental issue
; fractal analysis
; particulate matter
; rural area
; temperature profile
; urban area
; wind velocity
; air quality
; Article
; controlled study
; correlation analysis
; correlation function
; data base
; humidity
; meteorological phenomena
; particulate matter
; pollutant
; priority journal
; rural area
; temperature
; time series analysis
; urban area
; wind
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 paper seeks to enhance understanding of the cross-correlation patterns between meteorological factors and pollutants. The observed databases of daily meteorological elements (temperature, humidity and wind speed), as well as pollutants (CO, NOx, PM10 and SO2) levels during 2005–2014, is collected. Based on the database, the cross-correlation test is carried out firstly and the results indicate that cross-correlation behaviors exist statistically between them. Then the detrended cross-correlation analysis is performed for further analysis. With a detailed comparison, long-term cross-correlation behaviors are found to be more obvious in rural area. Beside, the influences of meteorological factors on multifractal property for pollutants are investigated. In contrast to humidity and wind speed, the long-term cross-correlation behaviors between temperature with pollutants are found to be more evident in both urban and rural areas. Furthermore, the difference of multifractal property for varied pollutants is explored. The strengths of multifractal spectra between meteorological factors with PM10 are strongest while the corresponding values between meteorological factors with SO2 are weakest. These findings successfully illustrate that the multifractal analysis is a useful tool for uncovering the interactive pattern in environmental issues. © 2016 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82384
Appears in Collections: 气候变化事实与影响
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作者单位: Logistics Research Center, Shanghai Maritime University, Shanghai, China
Recommended Citation:
He H,-D. Multifractal analysis of interactive patterns between meteorological factors and pollutants in urban and rural areas[J]. Atmospheric Environment,2017-01-01,149