Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/7030
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dc.contributor.authorallQin, K.; China University of Mining & Technology (Beijing)en
dc.contributor.authorallGuo, G.; College of Environmental Science and Traveling, Nanyang Normal University, Nanyang 473061, Henan, Chinaen
dc.contributor.authorallWu, L.; Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs, Ministry of Education (Beijing Normal University), Beijing 100875, Chinaen
dc.date.accessioned2011-06-12T19:16:05Zen
dc.date.available2011-06-12T19:16:05Zen
dc.date.issued2009-10-10en
dc.identifier.urihttp://hdl.handle.net/2122/7030en
dc.description.abstractUsing data from the National Center for Environmental Prediction (NCEP), the paper analyzed the surface latent heat flux (SLHF) variations for five inland earthquakes occurred in some lake area, moist area and arid area of China during recent years. We used the SLHF daily and monthly data to differentiate the global and seasonal variability from the transient local anomalies. The temporal scale of the observed variations is 1–2 months before and after the earthquakes, and spatial scale is about 10°×10°. The result suggests that the SLHFs adjacent the epicenters all are anomalous high value (>μ+2σ) 8–30 days before the shocks as compared with past several years of data. Different from the abnormal meteorological phenomenon, the distribution of the anomalies was isolated and local, which usually occurred in the epicenter and its adjacent area, or along the fault lines. The increase of SLHF was tightly related with the season which the earthquake occurs in; the maximal (125 W/m2, Pu’er earthquake) and minimal (25 W/m2, Gaize earthquake) anomalies were in summer and winter, respectively. The abundant surface water and groundwater in the epicenter and its adjacent region can provide necessary condition for the change of SLHF. To further confirm the reliability of SLHF anomaly, it is necessary to explore its physical mechanism in depth by more earthquake cases.en
dc.language.isoEnglishen
dc.publisher.nameSeismological Society of Chinaen
dc.relation.ispartofEarthquake Scienceen
dc.relation.ispartofseries22(2009)en
dc.subjectinland earthquakeen
dc.subjectsurface latent heat fluxen
dc.subjectthermal anomalyen
dc.subjectsatellite dataen
dc.titleSurface latent heat flux anomalies preceding inland earthquakes in Chinaen
dc.typearticleen
dc.description.statusPublisheden
dc.type.QualityControlPeer-revieweden
dc.description.pagenumber555−562en
dc.identifier.URLhttp://www.springerlink.com/content/477v6412q343565g/en
dc.subject.INGV04. Solid Earth::04.01. Earth Interior::04.01.99. General or miscellaneousen
dc.identifier.doi10.1007/s11589-009-0555-7en
dc.relation.referencesChen M H, Deng Z H and Yang Z Z (2006). Surface latent heat flux anomalies prior to the Indonesia MW9.0 earthquake of 2004. Chinese Science Bulletin 51(1): 118–120. Chen M H, Deng, Z H, Wang Y, Liao Z H and Zu J H (2007). Primary study on the variation of surface thermal flux before and after the MS5.7 earthquake of 2005 in Jiujiang, Jiangxi. Seismology and Geology 29(3): 617–626 Cervone G, Kafatos M, Napoletani D and Singh R P (2004). Wavelet maxima curves associated with two recent great earthquakes. Nat Hazards Earth Sys 4: 359–374. Dey S and Singh R P (2003). Surface latent heat flux as an earthquake precursor. Nat Hazards Earth Sys 3: 749–755. Kalnay E, Kanamitsu M and Kistler R (1996). The NCEP/NCAR 40-year reanalysis project. B Am Meteorol Soc 77(3): 437–471. Li J P, Wu L X, Wen Z Y and Liu S J (2008). Studies on abnormal surface latent heat flux prior to major coastal and terrestrial earthquakes in China. Science & Technology Review 26(5): 40–44 (in Chinese with English abstract). Ouzounov D and Freund F (2004). Mid-infrared emission prior to strong earthquakes analyzed by remote sensing data. Adv Space Res 33: 268–273. Ouzounov D, Liu D F, Chun K and Taylor P (2007). The outgoing longwave radiation variability prior to the major earthquake by analyzing IR satellite data. Tectonophysics 421: 211–220. Pulinets S A and Boyarchuk K A (2004). Ionospheric Precursors of Earthquakes. Springer, Berlin, Heidelberg, 315. Pulinets S A, Ouzounov D and Ciraolo L (2006a). Thermal, atmospheric and ionospheric anomalies around the time of the Colima M7.8 earthquake of 21 January 2003. Ann Geophys 24: 835–849. Pulinets S A, Ouzounov D, Karelin A V, Boyarchuk K A and Pokhmelnykh L A (2006b). The physical nature of thermal anomalies observed before strong earthquakes. Physics and Chemistry of the Earth 31: 143–153. Qiang Z J (2001). Satellite-based prediction of earthquakes. EARSel Newsletter 47: 21–26. Qiang Z J, Dian C G, Li L, Xu M, Liu T, Zhao Y and Guo M (1999). Satellite thermal infrared brightness temperature anomaly image — shortterm and impending earthquake precursors. Science in China (Series D) 42: 313–324. Saraf A K and Choudhury S (2005a). NOAA-AVHRR detects thermal anomaly associated with the 26 January 2001 Bhuj earthquake, Gujrat, India. Int J Remote Sens 26: 1 065–1 073. Saraf A K and Choudhury S (2005b). Satellite detects surface thermal anomalies associated with the Algerian earthquakes of May 2003. Int J Remote Sens 26: 2 705–2 713. Saraf A K, Rawat V, Banerjee P, Choudhury S, Panda S K, Dasgupta S and Das J D (2008). Satellite detection of earthquake thermal infrared precursors in Iran. Natural Hazards 47(1): 119–135. Singh R, Simon B and Joshi P C (2001). Estimation of surface latent heat fluxes from IRSP4/MSMR satellite data. Proc Indian Acad Sci (Earth Planet Science) 110(3): 231–238. Smith S R, Legler D M and Verzone K V (2001). Quantifying uncertainties in NCEP reanalysis using high-quality research vessel observations. J Climate 14: 4 062–4 072. Tronin A A, Hayakawa M and Molchanov O A (2002). Thermal IR satellite data application for earthquake research in Japan and China. J Geodyn 33: 519–534.en
dc.description.obiettivoSpecifico1.7. Osservazioni di alta e media atmosferaen
dc.description.journalTypeN/A or not JCRen
dc.description.fulltextopenen
dc.contributor.authorQin, K.en
dc.contributor.authorGuo, G.en
dc.contributor.authorWu, L.en
dc.contributor.departmentChina University of Mining & Technology (Beijing)en
dc.contributor.departmentCollege of Environmental Science and Traveling, Nanyang Normal University, Nanyang 473061, Henan, Chinaen
dc.contributor.departmentAcademy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs, Ministry of Education (Beijing Normal University), Beijing 100875, Chinaen
item.openairetypearticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.deptChina University of Mining & Technology (Beijing)-
crisitem.author.deptCollege of Environmental Science and Traveling, Nanyang Normal University, Nanyang 473061, Henan, China-
crisitem.author.deptChina University of Mining and Technology, School of Environment Science and Spatial Informatics, Xuzhou, China-
crisitem.classification.parent04. Solid Earth-
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