简介：ＡｐｐｌｉｃａｔｉｏｎｏｆｃｅｒｔａｉｎｔｙｆａｃｔｏｒｓｏｆｅａｒｔｈｑｕａｋｅｐｒｅｃｕｒｓｏｒｙａｎｏｍａｌｙｅｖｉｄｅｎｃｅｓＣＦ（Ｅ）ＺＨＡＯ－ＢＩＺＨＥＮＧ（郑兆），ＪＵＮＺＨＡＮＧ（张军）ａｎｄＭＥＩＱＩＮＧ（庆梅）Ｓｅｉｓｍｏｌｏ...

简介：Utilizingdatafromcontrolledseismicsourcestoimagethesubsurfacestructuresandinvertthephysicalpropertiesofthesubsurfacemediaisamajoreffortinexplorationgeophysics.Denseseismicrecordswithhighsignal-to-noiseratio(SNR)andhighfidelityhelpsinproducinghighqualityimagingresults.Therefore,seismicdatadenoisingandmissingtracesreconstructionaresignificantforseismicdataprocessing.Traditionaldenoisingandinterpolationmethodsrarelyoccasionedrelyonnoiselevelestimations,thusrequiringheavymanualworktodealwithrecordsandtheselectionofoptimalparameters.Weproposeasimultaneousdenoisingandinterpolationmethodbasedondeeplearning.Fornoisyrecordswithmissingtraces,weadoptaniterativealternatingoptimizationstrategyandseparatetheobjectivefunctionofthedatarestoringproblemintotwosub-problems.Theseismicrecordscanbereconstructedbysolvingaleast-squareproblemandapplyingasetofpre-traineddenoisingmodelsalternativelyanditeratively.Wedemonstratethismethodwithsyntheticandfielddata.

简介：Alargenumberofdebrisflowdisasters(calledSeismicdebrisflows)wouldoccurafteranearthquake,whichcancauseagreatamountofdamage.UAVlow-altituderemotesensingtechnologyhasbecomeameansofquicklyobtainingdisasterinformationasithastheadvantageofconvenienceandtimeliness,butthespectralinformationoftheimageissoscarce,makingitdifficulttoaccuratelydetecttheinformationofearthquakedebrisflowdisasters.Basedontheaboveproblems,aseismicdebrisflowdetectionmethodbasedontransferlearning(TL)mechanismisproposed.Onthebasisoftheconstructedseismicdebrisflowdisasterdatabase,thefeaturesacquiredfromthetrainingoftheconvolutionalneuralnetwork(CNN)aretransferredtothedisasterinformationdetectionoftheseismicdebrisflow.Theautomaticdetectionofearthquakedebrisflowdisasterinformationisthencompleted,andtheresultsofobject-orientedseismicdebrisflowdisasterinformationdetectionarecomparedandanalyzedwiththedetectionresultssupportedbytransferlearning.

简介：ＣｅｒｔａｉｎｔｙｆａｃｔｏｒｓｏｆｅａｒｔｈｑｕａｋｅｐｒｅｃｕｒｓｏｒｙａｎｏｍａｌｙｅｖｉｄｅｎｃｅｓＣＦ（Ｅ）Ｚｈａｏ－ＢｉＺＨＥＮＧ（郑兆）（ＳｅｉｓｍｏｌｏｇｉｃａｌＢｕｒｅａｕｏｆＡｎｈｕｉＰｒｏｖｉｎｃｅ，Ｈｅｆｅｉ２３００３１，Ｃｈ...

简介：BecauseofthesignificancetotheformationandevolutionoftheTibetanplateau,thedisplacementandsliprateoftheAltynTaghfaulthavebeentopicsfullofdisputation.ScientistswhoholddifferentopinionsontheevolutionofTibetinsistondifferentslipratesanddisplacementsofthefaultzone.Inthearticle,studyisfocusedonthelateQuaternarysliprateoftheAltynTaghfaultwestoftheCherchenRiver(between85°Eand85°45'E).OnthebasisofhighresolutionSPOTimagesoftheregion,threesites,namelyKoramlik,AqqanpastureandDalakuansay,werechosenforfieldinvestigation.Tocalculatethesliprateofthefault,displacementofterraceswasmeasuredonSPOTsatelliteimagesorinsituduringfieldworkandthermo-luminescence(TL)datingmethodwasused.Togettheagesofterraces,samplesofsandwerecollectedfromtheuppermostsandbedsthatliejustunderloess.Themethodforcalculatingsliprateoffaultistodividethedisplacementofterracerisersbytheageofitsneighboringlowerterrace.Thedisplacementofriversisnotconsideredinthisarticlebecauseofitsuncertainties.AtKoramlik,thesliprateoftheAltynTaghfaultis11.6±2.6mm/asince6.02±0.47kaB.Pand9.6±2.6mm/asince15.76±1.19kaB.P.AtAqqanpasture,about30kmwestofKoramlik,thesliprateis12.1±1.9mm/asince2.06±0.16kaB.P.AtDalakuansayi,thesliprateofthefaultis12.2±3.0mm/asince4.91±0.39kaB.P.Hence,wegettheaveragesliprateof11.4±2.5mm/aforthewesternpartoftheAltynTaghFaultsinceHolocene.ThisresultisclosetothelatestresultsfromGPSresearch.

简介：［ＢｒｉｅｆＮｅｗｓ］：ＡｎＭｓ＝７．３ｅａｒｔｈｑｕａｋｅｏｃｃｕｒｒｅｄｉｎｔｈｅｓｏｕｔｈｅｒｎＡｎＭｓ＝７．３ｅａｒｔｈｑｕａｋｅｏｃｃｕｒｒｅｄｉｎｔｈｅｓｏｕｔｈｅｒｎｐａｒｔｏｆｔｈｅＴａｉｗａｎＳｔｒａｉｔ（２２．６°Ｎ，１１８．７°...

简介：地壳形变测量是地震预报的一项重要基础工作,PDA的轻便、电池持久耐用,WinCe操作简单等特点,为形变台站野外观测记录提供基本平台。本文按照有关规范及标准的要求,采用PDA硬件平台,在windowsCE软件支持下,利用MicrosofteMbeddedVisualBasic编程环境,通过wincesdk工具模块,实现基于PDA的形变台站电子手簿系统(CaisBookPDA1.0)。采用电子数据防伪技术,建立了完善形变台站水准电子记簿软件,可代替手工记录。