A Comparative Analysis for Detecting Seismic Anomalies in Data Sequences of Outgoing Longwave Radiation

Yaxin Bi, Shengli Wu, Xiong Pan, Shen Xuhui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this paper we propose to use wavelet transformations as a data mining tool to detect seismic anomalies within data sequences of outgoing longwave radiation (OLR). The distinguishing feature of our method is that we calculate the wavelet maxima curves that propagate from coarser to finer scales in the defined grids over time and then identify strong singularities from the maxima lines distributing on the grids by only accounting for the characteristics of continuity in both time and space. The identified singularities are further examined by the Holder exponent to determine whether the identified singularities can be regarded as potential precursors prior to earthquakes. This method has been applied to analyze OLR data associated with an earthquake recently occurred in Wenchuan of China. Combining with the tectonic explanation of spatial and temporal continuity of the abnormal phenomena, the analyzing results reveal that the identified singularities could be viewed as the seismic anomalies prior to the Wuchan earthquake.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages285-296
Number of pages11
DOIs
Publication statusPublished - 17 Nov 2009
Event3rd International Conference on Knowledge Science, Engineering and Management - Vienna
Duration: 17 Nov 2009 → …

Conference

Conference3rd International Conference on Knowledge Science, Engineering and Management
Period17/11/09 → …

Fingerprint

longwave radiation
anomaly
earthquake
wavelet
data mining
tectonics
analysis
method

Cite this

@inproceedings{847313da4d6246b29d9a517298344dee,
title = "A Comparative Analysis for Detecting Seismic Anomalies in Data Sequences of Outgoing Longwave Radiation",
abstract = "In this paper we propose to use wavelet transformations as a data mining tool to detect seismic anomalies within data sequences of outgoing longwave radiation (OLR). The distinguishing feature of our method is that we calculate the wavelet maxima curves that propagate from coarser to finer scales in the defined grids over time and then identify strong singularities from the maxima lines distributing on the grids by only accounting for the characteristics of continuity in both time and space. The identified singularities are further examined by the Holder exponent to determine whether the identified singularities can be regarded as potential precursors prior to earthquakes. This method has been applied to analyze OLR data associated with an earthquake recently occurred in Wenchuan of China. Combining with the tectonic explanation of spatial and temporal continuity of the abnormal phenomena, the analyzing results reveal that the identified singularities could be viewed as the seismic anomalies prior to the Wuchan earthquake.",
author = "Yaxin Bi and Shengli Wu and Xiong Pan and Shen Xuhui",
note = "Reference text: 1. Carreno, E., Capote, R., Yague, A., et al., 2001. Observations of thermal anomaly associated to seismic activity from remote sensing. General Assembly of European Seismology Commission, pp. 265–269. Portugal, 10–15 September. 2. Dimitar Ouzounov, Defu Liu, et al.: Outgoing long wave radiation variability from IR satellite data prior to major earthquakes, Tectonophysics 431, 2007, 211–220. 3. Cervone, G., Kafatos, M., Napoletani, D, et al.: Wavelet Maxima Curves Associated with Two Recent Greek Earthquakes, Nat. Hazards Earth Syst. Sci., 4, 359–374, 2004. 4. Cervone, G., Singh, R. P., Kafatos, M., and Yu, C.: Wavelet maxima curves of surface latent heat flux anomalies associated with Indian earthquakes, Nat. Hazards Earth Syst. Sci., 5, 87–99, 2005. 5. Pulinets, S.A., Boyarchuk, K.A., 2004. Ionospheric Precursors of Earthquakes. Springer, Berlin, p. 316. 6. Hayakawa,M. and Molchanov, O. A.: Seismo Electromagnetics:Lithosphere-Atmosphere-Ionosphere Coupling, TERRAPUB,Tokyo, p. 477, 2002. 7. Tronin, A.A., 1999. Satellite thermal survey application for earthquake prediction. In: Hayakawa, M. (Ed.), Atmospheric and Ionospheric Phenomena Associated with Earthquakes. TERRAPUB, Tokyo, pp.717–746. 8. Tronin, A.A., Hayakawa, M., Molchanov, O.A., 2004. Thermal IR satellite data application for earthquake research in Japan and China.J. Geodyn. 33, 519–534. 9. Ouzounov, D., Freund, F., 2004. Mid-infrared emission prior to strong earthquakes analyzed by remote sensing data. Advances in Space Research 33 (3), 268–273. 10. Paul S Addison Illustrated Wavelet Transform Handbook, Introductory Theory And Applications in Science, Engineering, Medicine And Finance. Institute Of Physics Publishing, 2002. 11. NCAR and NOAA, 2008: ftp ftp.cpc.ncep.noaa.gov; cd precip/noaa* for OLR directories. 12. Liebmann B. and C.A. Smith, 1996: Description of a Complete (Interpolated) Outgoing Longwave Radiation Dataset. Bulletin of the American Meteorological Society, 77, 1275-1277.",
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Bi, Y, Wu, S, Pan, X & Xuhui, S 2009, A Comparative Analysis for Detecting Seismic Anomalies in Data Sequences of Outgoing Longwave Radiation. in Unknown Host Publication. pp. 285-296, 3rd International Conference on Knowledge Science, Engineering and Management, 17/11/09. https://doi.org/10.1007/978-3-642-10488-6_29

A Comparative Analysis for Detecting Seismic Anomalies in Data Sequences of Outgoing Longwave Radiation. / Bi, Yaxin; Wu, Shengli; Pan, Xiong; Xuhui, Shen.

Unknown Host Publication. 2009. p. 285-296.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N1 - Reference text: 1. Carreno, E., Capote, R., Yague, A., et al., 2001. Observations of thermal anomaly associated to seismic activity from remote sensing. General Assembly of European Seismology Commission, pp. 265–269. Portugal, 10–15 September. 2. Dimitar Ouzounov, Defu Liu, et al.: Outgoing long wave radiation variability from IR satellite data prior to major earthquakes, Tectonophysics 431, 2007, 211–220. 3. Cervone, G., Kafatos, M., Napoletani, D, et al.: Wavelet Maxima Curves Associated with Two Recent Greek Earthquakes, Nat. Hazards Earth Syst. Sci., 4, 359–374, 2004. 4. Cervone, G., Singh, R. P., Kafatos, M., and Yu, C.: Wavelet maxima curves of surface latent heat flux anomalies associated with Indian earthquakes, Nat. Hazards Earth Syst. Sci., 5, 87–99, 2005. 5. Pulinets, S.A., Boyarchuk, K.A., 2004. Ionospheric Precursors of Earthquakes. Springer, Berlin, p. 316. 6. Hayakawa,M. and Molchanov, O. A.: Seismo Electromagnetics:Lithosphere-Atmosphere-Ionosphere Coupling, TERRAPUB,Tokyo, p. 477, 2002. 7. Tronin, A.A., 1999. Satellite thermal survey application for earthquake prediction. In: Hayakawa, M. (Ed.), Atmospheric and Ionospheric Phenomena Associated with Earthquakes. TERRAPUB, Tokyo, pp.717–746. 8. Tronin, A.A., Hayakawa, M., Molchanov, O.A., 2004. Thermal IR satellite data application for earthquake research in Japan and China.J. Geodyn. 33, 519–534. 9. Ouzounov, D., Freund, F., 2004. Mid-infrared emission prior to strong earthquakes analyzed by remote sensing data. Advances in Space Research 33 (3), 268–273. 10. Paul S Addison Illustrated Wavelet Transform Handbook, Introductory Theory And Applications in Science, Engineering, Medicine And Finance. Institute Of Physics Publishing, 2002. 11. NCAR and NOAA, 2008: ftp ftp.cpc.ncep.noaa.gov; cd precip/noaa* for OLR directories. 12. Liebmann B. and C.A. Smith, 1996: Description of a Complete (Interpolated) Outgoing Longwave Radiation Dataset. Bulletin of the American Meteorological Society, 77, 1275-1277.

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N2 - In this paper we propose to use wavelet transformations as a data mining tool to detect seismic anomalies within data sequences of outgoing longwave radiation (OLR). The distinguishing feature of our method is that we calculate the wavelet maxima curves that propagate from coarser to finer scales in the defined grids over time and then identify strong singularities from the maxima lines distributing on the grids by only accounting for the characteristics of continuity in both time and space. The identified singularities are further examined by the Holder exponent to determine whether the identified singularities can be regarded as potential precursors prior to earthquakes. This method has been applied to analyze OLR data associated with an earthquake recently occurred in Wenchuan of China. Combining with the tectonic explanation of spatial and temporal continuity of the abnormal phenomena, the analyzing results reveal that the identified singularities could be viewed as the seismic anomalies prior to the Wuchan earthquake.

AB - In this paper we propose to use wavelet transformations as a data mining tool to detect seismic anomalies within data sequences of outgoing longwave radiation (OLR). The distinguishing feature of our method is that we calculate the wavelet maxima curves that propagate from coarser to finer scales in the defined grids over time and then identify strong singularities from the maxima lines distributing on the grids by only accounting for the characteristics of continuity in both time and space. The identified singularities are further examined by the Holder exponent to determine whether the identified singularities can be regarded as potential precursors prior to earthquakes. This method has been applied to analyze OLR data associated with an earthquake recently occurred in Wenchuan of China. Combining with the tectonic explanation of spatial and temporal continuity of the abnormal phenomena, the analyzing results reveal that the identified singularities could be viewed as the seismic anomalies prior to the Wuchan earthquake.

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DO - 10.1007/978-3-642-10488-6_29

M3 - Conference contribution

SN - 978-3-642-10487-9

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EP - 296

BT - Unknown Host Publication

ER -