Precursory signals using satellite and ground data associated with the Wenchuan Earthquake of 12 May 2008

Singh, Ramesh P.; Mehdi, Waseem; Gautam, Ritesh; Kumar, Jitendra; Zlotnicki, J.; Kafatos, Menas

doi:10.1080/01431161.2010.487503

Cited by 76 publications

(42 citation statements)

References 58 publications

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“…In this connection, the work of Karatay et al (2010), who made efforts to identify TEC variations associated with earthquakes from geomagnetic storm data, may be mentioned. A correlative study on simultaneous ground based and ionospheric observations will improve understanding of the complex earthquake-time lithosphere-ionospheric coupling processes (Parrot et al 1989, Singh et al 2010, necessary for realizing a reliable cursor.…”

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confidence: 99%

Adaptive techniques for extraction of pre-seismic parameters of Total Electron Content (TEC) at anomaly crest station

Devi

Sarma

Kalita

et al. 2012

Geomatics, Natural Hazards and Risk

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Total electron content (TEC) data, obtained from satellites, are used in the search for imprints for identifying the probability factor of an impending earthquake. Extraction of earthquake induced signature is done mainly from day-to-day variations in TEC peak (TEC peak. ). The use of a single parameter such as TEC peak is not always enough to formulate such a pointer. The paper therefore focuses on the need to introduce other markers such as the shape of TEC profile and to utilize any modification in the profile shape caused by an impending earthquake to identify precursors. An automatic pattern matching approach for processing global positioning system (GPS) generated TEC records is introduced to achieve this aim and TEC profiles are passed through a template framed from the time series of quiet day data. The Dynamic Time Warping (DTW) algorithm is adopted to look for deviations in the entire TEC profile of days prior to the earthquake with respect to the template. Variation, if any, would be used as an index of earthquake induced signature. A few case studies using this algorithm are presented in the paper. Work is based on TEC data collected from the GPS receiver at Guwahati (268 10 0 N, 918 45 0 E), an equatorial anomaly crest station.

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confidence: 99%

Adaptive techniques for extraction of pre-seismic parameters of Total Electron Content (TEC) at anomaly crest station

Devi

Sarma

Kalita

et al. 2012

Geomatics, Natural Hazards and Risk

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“…Some of the changing signals due to an earthquake preparation can be observed by multiple sensors in underground, in water, on ground, above ground and on satellites [7][8][9][10][11][12][13]. Different from normal features and trend variations, the abnormal signals, although they are very weak, are of useful information for seismic activity and of potential message for earthquake precaution.…”

Section: Introductionmentioning

confidence: 97%

Importance of lithosphere-coversphere-atmosphere coupling to earthquake anomaly recognition

Qin

Liu

et al. 2012

2012 IEEE International Geoscience and Remote Sensing Symposium

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The GEOSS under construction is providing space-, aero-, ground/sea-based multiple observations on planet Earth for the seismogenic process monitoring and earthquake precaution. The stress enhancement and energy accumulation in seismic activity area change locally the physical parameters of lithosphere with the developing of a series of effects that can comprise most of the following ones: initial cracks, the fracturing of rockmass, the changing of electromagnetic properties, the decreasing of dielectric constant, the re-activation of P-holes, the leaking of pore-gas, and the rise of water-level. The physical states of coversphere and atmosphere are to be affected due to the lithosphere-coversphere-atmosphere (LCA) coupling, and the signals from the underground, surface, and atmosphere to satellites are to be changed with parameter anomaly. We suggested that the LCA coupling is important for understanding GEOSS observations, especially for earthquake anomaly recognition (EAR). Using deviationtime-space-thermal (DTS-T) method for EAR, three recent major earthquakes (2009 Italy L'Aquila earthquake, 2010 China Yushu earthquake and 2010-2011 New Zealand earthquake sequence) are taken as typical cases for analysis to the multi-parameters anomalies, preceding the shocking, with quasi-synchronism and geo-consistency. The specific LCA coupling effects related with the earthquakes are also discussed in brief.

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“…Many scientists have studied satellite thermal infrared anomaly since 1980s [1,2] . Recently, some new precursory signals were reported such as surface latent heat flux (SLHF), air relative humidity, air water vapour [3][4][5][6] .…”

Section: Introductionmentioning

confidence: 99%

Anomalous atmospheric signals before the 25 september 2008 Zhongba earthquake in China

Guo

Qin

2011

2011 IEEE International Geoscience and Remote Sensing Symposium

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The Ms 6.0 earthquake of 25 September 2008 occurred in Zhongba Country, China's south-western Tibet province. In the paper, using data from the National Center for Environmental Prediction (NCEP), we have investigated surface latent heat flux, humidity and water vapor changes before the 25 September 2008 Zhongba earthquake. The result shows that the maximum values of SLHF and the minimum values of relative humidity and water vapor appeared near the epicenter simultaneously on Sept. 6.Although the mechanism of these anomalies is not clear, we consider water and heat exchange in the earth-atmosphere system pre-earthquake may play an important role.

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Precursory signals using satellite and ground data associated with the Wenchuan Earthquake of 12 May 2008

Abstract: International audienc

Cited by 76 publications

References 58 publications

Adaptive techniques for extraction of pre-seismic parameters of Total Electron Content (TEC) at anomaly crest station

Adaptive techniques for extraction of pre-seismic parameters of Total Electron Content (TEC) at anomaly crest station

Importance of lithosphere-coversphere-atmosphere coupling to earthquake anomaly recognition

Anomalous atmospheric signals before the 25 september 2008 Zhongba earthquake in China

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