DOI: 10.1016/j.atmosenv.2017.04.006
Scopus记录号: 2-s2.0-85017423450
论文题名: The net decay time of anomalies in concentrations of atmospheric pollutants
作者: Vinnikov K ; Y ; , Dickerson R ; R ; , Krotkov N ; A ; , Edgerton E ; S ; , Schwab J ; J
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 160 起始页码: 19
结束页码: 26
语种: 英语
英文关键词: Chemical climatology air pollutants
; Decay time air pollutants
; Remote sensing atmospheric pollutants
; Temporal variability atmospheric pollutants
Scopus关键词: Air pollution
; Air quality
; Atmospheric chemistry
; Decay (organic)
; Remote sensing
; Sulfur dioxide
; Time measurement
; Urban growth
; Air pollutants
; Air quality prediction
; Atmospheric pollutants
; Exponential approximations
; Satellite remote sensing
; Statistical techniques
; Temporal fluctuation
; Temporal variability
; Pollution
; air quality
; atmospheric pollution
; climatology
; concentration (composition)
; pollutant source
; remote sensing
; satellite data
; temporal variation
; trace gas
; air pollutant
; air quality
; air temperature
; Article
; controlled study
; correlation function
; decay time constant
; dry deposition
; humidity
; prediction
; priority journal
; rural area
; seasonal variation
; solar radiation
; surface property
; time series analysis
; urban area
; wet deposition
; United States
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 introduces a new parameter to characterize the random component in temporal variability of atmospheric pollutants and proposes a simple statistical technique for its evaluation. That parameter is the net decay time (or the time scale) of the local anomalies in concentrations of atmospheric pollutants, rather than the traditionally used chemical lifetimes of total amounts of the species. Using widely available data of hourly multi-year surface trace gas pollutant concentrations we demonstrate a simplified way to estimate the net decay time with an exponential approximation of lag-correlation functions. We assessed the decay times of fluctuations in observations of eight atmospheric pollutants (SO2, NO, NO2, NOy, O3, CO, NH3, and HNO3) at two urban sites and one cleaner rural site in the Eastern US. The time scales of temporal fluctuations (net decay times) vary from about one hour to slightly more than one day. These scales are generally much shorter in urban environments than in remote regions. We also compared day- and night-time observations in warm and cold seasons. At night in the cold season, time scales of fluctuations in atmospheric pollutants are usually the longest. Such estimates should be useful to air quality prediction, public health, and satellite remote sensing research communities. © 2017 The Authors
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82781
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: University of Maryland, United States; GSFC/NASA, United States; Atmospheric Research & Analysis Inc., United States; University at Albany – State University of New York, United States
Recommended Citation:
Vinnikov K,Y,, Dickerson R,et al. The net decay time of anomalies in concentrations of atmospheric pollutants[J]. Atmospheric Environment,2017-01-01,160