Description of the seasonal pattern in ozone concentration time series by using the strange attractor multifractal formalism
Ozone is a secondary pollutant that, at high concentrations in urban environment, affects human health. Thus, suitable knowledge of ozone dynamics is essential for avoiding undesirable effects on the population. Ten-minute ozone concentration time series recorded at Córdoba (southern Spain) in 2007, for January, April, July and October, have been analysed by using the strange attractor multifractal formalism with the aim of describing the seasonal pattern of this pollutant. The multifractal nature of ozone concentration was detected in a study of the mass exponent functions for autumn-winter and spring-summer seasons. Multifractal spectra showed a greater heterogeneity in the low values of the time series. The presence of rare values in ozone data sets was also investigated, showing that the multifractal approach provided considerable detailed information on the time series structure that completes the statistical descriptive analysis. © 2008 Springer Science+Business Media B.V.
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dig-ias-es-10261-872992017-12-19T11:26:31Z Description of the seasonal pattern in ozone concentration time series by using the strange attractor multifractal formalism Jiménez-Hornero, F. J. Gutiérrez de Ravé, E. Ariza Villaverde, A. B. Giráldez, Juan Vicente Ozone is a secondary pollutant that, at high concentrations in urban environment, affects human health. Thus, suitable knowledge of ozone dynamics is essential for avoiding undesirable effects on the population. Ten-minute ozone concentration time series recorded at Córdoba (southern Spain) in 2007, for January, April, July and October, have been analysed by using the strange attractor multifractal formalism with the aim of describing the seasonal pattern of this pollutant. The multifractal nature of ozone concentration was detected in a study of the mass exponent functions for autumn-winter and spring-summer seasons. Multifractal spectra showed a greater heterogeneity in the low values of the time series. The presence of rare values in ozone data sets was also investigated, showing that the multifractal approach provided considerable detailed information on the time series structure that completes the statistical descriptive analysis. © 2008 Springer Science+Business Media B.V. The authors gratefully acknowledge the support of the Consejería de Innovación, Ciencia y Em- presa (Junta de Andalucía) Project P08-RNM-3989. Peer Reviewed 2013-11-22T11:25:15Z 2013-11-22T11:25:15Z 2010-01 2013-11-22T11:25:15Z artículo http://purl.org/coar/resource_type/c_6501 doi: 10.1007/s10661-008-0690-y issn: 0167-6369 e-issn: 1573-2959 Environmental Monitoring and Assessment 160(1-4): 229-236 (2010) http://hdl.handle.net/10261/87299 10.1007/s10661-008-0690-y en none Springer |
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Ozone is a secondary pollutant that, at high concentrations in urban environment, affects human health. Thus, suitable knowledge of ozone dynamics is essential for avoiding undesirable effects on the population. Ten-minute ozone concentration time series recorded at Córdoba (southern Spain) in 2007, for January, April, July and October, have been analysed by using the strange attractor multifractal formalism with the aim of describing the seasonal pattern of this pollutant. The multifractal nature of ozone concentration was detected in a study of the mass exponent functions for autumn-winter and spring-summer seasons. Multifractal spectra showed a greater heterogeneity in the low values of the time series. The presence of rare values in ozone data sets was also investigated, showing that the multifractal approach provided considerable detailed information on the time series structure that completes the statistical descriptive analysis. © 2008 Springer Science+Business Media B.V. |
format |
artículo |
author |
Jiménez-Hornero, F. J. Gutiérrez de Ravé, E. Ariza Villaverde, A. B. Giráldez, Juan Vicente |
spellingShingle |
Jiménez-Hornero, F. J. Gutiérrez de Ravé, E. Ariza Villaverde, A. B. Giráldez, Juan Vicente Description of the seasonal pattern in ozone concentration time series by using the strange attractor multifractal formalism |
author_facet |
Jiménez-Hornero, F. J. Gutiérrez de Ravé, E. Ariza Villaverde, A. B. Giráldez, Juan Vicente |
author_sort |
Jiménez-Hornero, F. J. |
title |
Description of the seasonal pattern in ozone concentration time series by using the strange attractor multifractal formalism |
title_short |
Description of the seasonal pattern in ozone concentration time series by using the strange attractor multifractal formalism |
title_full |
Description of the seasonal pattern in ozone concentration time series by using the strange attractor multifractal formalism |
title_fullStr |
Description of the seasonal pattern in ozone concentration time series by using the strange attractor multifractal formalism |
title_full_unstemmed |
Description of the seasonal pattern in ozone concentration time series by using the strange attractor multifractal formalism |
title_sort |
description of the seasonal pattern in ozone concentration time series by using the strange attractor multifractal formalism |
publisher |
Springer |
publishDate |
2010-01 |
url |
http://hdl.handle.net/10261/87299 |
work_keys_str_mv |
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