Spectral analysis of air pollutants. Part 2: ozone time series

被引:59
作者
Sebald, L
Treffeisen, R
Reimer, E
Hies, T
机构
[1] Tech Univ Berlin, Fachgebiet Luftreinhaltung, Inst Tech Umweltschutz, D-10623 Berlin, Germany
[2] Free Univ Berlin, Inst Meteorol, D-12165 Berlin, Germany
[3] Univ Erlangen Nurnberg, Abt Phoniatr & PAdaudiol, HNO Klin, D-91054 Erlangen, Germany
关键词
ozone; spectral analysis; residual layer; large-scale meteorology;
D O I
10.1016/S1352-2310(00)00147-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Spectral analysis is used to investigate the troposheric ozone formation and decomposition processes. Although ozone is a reactive, secondary air pollutant, a similar method of examination is used for elemental carbon which can be applied to ozone time series. To detect the reason for extreme high ozone concentrations in summer, the data was divided into low-frequency seasonal component and high-frequency component. The latter has been evaluated by using the corresponding power density spectrum. It is shown that meteorological large- and synoptic-scale fluctuations affect the ozone concentrations at all monitoring locations. In the data set of 1993-1995 this influence contributed peaks at cycle durations of 16-35 day peaks in the power density spectrum estimated from the ozone data. The level of the seasonal component at a particular site depends on the level of local influence by traffic and industry emissions. The power density spectrum of the mean early morning ozone concentration (2-4 a.m.) at a measurement site situated 324 m elevation is very similar to the power spectra of the ozone data at all other monitoring locations in 1995. This affirms the dominance of spatial homogenous fluctuations and indicates a relative uniform residual layer over a large region. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:3503 / 3509
页数:7
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