4 : , 70, M5, 30, 105, 5 6, C,, 48 18, M15 GM4 FHD, 10 8 ( 2 ), 1 1 Fig.1 Distributionmapofthestudyareaandgeomagnetic

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1 GeologicalScienceandTechnologyInformation Vol.36 No.4 Jul doi: /j.cnki.dzkq ,,. [J].,2017,36(4): ,2, 3 1 1,2 1,2 1,2,,, (1., ; 2., ;3., ) :,, 18, :1, 44.4% 2 ; , 6 ; : ; ; ; ; :P318.5 :A : (2017) ,, 550km 5.5~7.8 [10],, 10 Z, ( ),,,,, [11] [1-5] M4.6,, [6-7] [12-19], [8] 1995,,, Z [9],, : : : (161704); ( ) : (1982 ),,, theocean123@163.com : (1961 ),,, fengzs2001@sina.com

2 4 : , 70, M5, 30, 105, 5 6, C,, 48 18, M15 GM4 FHD, 10 8 ( 2 ), 1 1 Fig.1 Distributionmapofthestudyareaandgeomagneticstations 1.2,,,,, 11a ( ),, 2,,, 3 : 2 (max) P(Z)= RZ (1) R Z (min), [10] :R z (max) 1.0~2.0 ;R z (min) R z (max),

3 Fig.2 2 WaveletdecompositionresultsofdailyvariationcurveofverticalcomponentofLanzhoustation 3 Fig.3 Comparisonofpartialdatabeforeandafterwaveletdenoising

4 4 : 225,, d, 208d,8 6,8 7 ; 3.0 4, 22, 1 3.1;, 3 3 8,5,2 5d, 1 ;,2 ( ),, 4, , ; 18, 8 ; 44.4%; 54 1 Table1 Calculationresultsofseismiceventsselectedinnorth-southseismicbelt ( / ) P(Z) ( ) /d (N, ) , , , , , , , ,4 3,,,, ( ) [10,14,20],, ( [21] [22-24] ),,, 90d,, ( ), 5-a, ( ) K p,, W, 5-b 7 V, 5-c,

地质科技情报２２６２０１７年图４南北地震带西南地区异常空间分布特征Ｆｉｇ４Ｓｐａｔｉａｌｄｉｓｔｒｉｂｕｔｉｏｎｏｆａｎｏｍａｌｉｅｓｉｎｔｈｅｎｏｒｔｈｓｏｕｔｈｓｅｉｓｍｉｃｂｅｌｔａｎｄｓｏｕｔｈｗｅｓｔｃｈｉｎａａ异常时段前后部分台站日变曲线ｂ卸载日阈值线内侧日变曲线ｃ卸载日阈值线外侧台站日变曲线图５汶川地震前部分台站垂直分量日变曲线

5 地质科技情报２２６２０１７年图４南北地震带西南地区异常空间分布特征Ｆｉｇ４Ｓｐａｔｉａｌｄｉｓｔｒｉｂｕｔｉｏｎｏｆａｎｏｍａｌｉｅｓｉｎｔｈｅｎｏｒｔｈｓｏｕｔｈｓｅｉｓｍｉｃｂｅｌｔａｎｄｓｏｕｔｈｗｅｓｔｃｈｉｎａａ异常时段前后部分台站日变曲线ｂ卸载日阈值线内侧日变曲线ｃ卸载日阈值线外侧台站日变曲线图５汶川地震前部分台站垂直分量日变曲线Ｆｉｇ５ＤａｉｌｙｖａｒｉａｔｉｏｎｃｕｒｖｅｏｆｖｅｒｔｉｃａｌｃｏｍｐｏｎｅｎｔｓｏｆｓｏｍｅｓｔａｔｉｏｎｓｂｅｆｏｒｅＷｅｎｃｈｕａｎｅａｒｔｈｑｕａｋｅ４结论１地磁加卸载响应比异常极值区域与地震震中不重合地震主要发生在地磁加卸载响应比阈值线附近这和前人研究的结论不一致阈值线附近临时感应电流在阈值线两侧产生的异常场叠加在地

6 4 : 227,,2014,34(3): [3],,2014,33(6): (2) [5],,,. S [J]. [3-5] (3): , [6],, M [J] [7], [J].,2016,59(3): [8],1995,16(3): [9], [J].,1996,17(1):49-53., [10],, [J].,1998,14(2): [11],,, [J].,2000,20(2): [12],, [J].,2014,34(1): [13], [J].,2015,10(2): [J]. (3) [15],,, [J].,2000,20(2):53-60.,, [16], [J].,2015,38(4): [17], [18],,2003,26( 1): , [19], [20],, (4) 8, [21],, [J]. [22],,,,2016,38(1):12-18,25. [23],, M : [1],,,.2008 M S M S7.1 [J].,2014,36(2): ,340. [2],,,. [J].,. [J]. [4],,,. [J].,2014,30(4): q,2015,35,.2013 S6.6,.. [J].,.,.,.,.,. [14],,,.,2016,38(4): ,605.,.,.,. [J].,2008,28(2): [J].,. [J].,2002,18(4): ,. - [J].,2015,35(3):1-6.,.,2009,25(2): [J].,2015,37(4):981- S5.5 [J].,2016,38(1): ,158. [24], [J].,2016,38( 2): ( 249 )

7 4 : 249 RecognitionandClassificationforRemoteSensingImage BasedonDepthBeliefNetwork XuLikun 1,LiuXiaodong 2,XiangXiaocui 2 (1.MapInstituteofHubeiProvince,Wuhan430074,China; (2.WuhanOpticsValeyBeiDouGeo-spatialInformationIndustryCo.,Ltd.,Wuhan430206,China) tion. Keywords:remotesensingimage;depthbeliefnetwork;limitedBoltzmannmachine; classificationmethod 檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪 ( 227 ) ApplicationofGeomagneticLoad-UnloadResponse RatioMethodinNorth-SouthSeismicBelt DaiMiao 1,2,FengZhisheng 3,LiuJian 1,LiDeqian 1,2,WeiGuichun 1,2,ShenXuelin 1,2 (1.KeyLaboratoryofEarthquakeGeodesy,InstituteofSeismology, ChinaEarthquakeAdministration,Wuhan430071,China; 2.EarthquakeAdministrationofHubeiProvince,Wuhan430071,China; 3.EarthquakeAdministrationofJiangsuProvince,Nanjing210014,China) Abstract:High-resolutionremotesensingimageshavehigh-dimensional,multi-scale,non-stationaryinter- nalcharacteristicsandmassive,multi-sourceandheterogeneousexternalfeatures,andproviderichspatial information.thispaperexplorestheinteligentextractionandclassificationofhigh-resolutionremote sensingimagesusingtheemergingdepthbeliefnetwork.withalargenumberofexperimentalcomparisons ofboththeclassificationaccuracyandkappacoeficient,andthefurtherparametersensitivityanalysis,the paperobtainstheoptimalsetingschemeforparameters,suchasthenumberofnetworklayers,thenum- berofhiddenlayerneuronsandthenumberofiterations.comparedwiththetraditionalshalownetwork classifier,theimproveddepthofthebeliefnetworkcanbeterfittheintrinsicstructureofthesample,and theaccuracyoftheremotesensingimageclassificationisabout92%,whichisveryefectiveinclassifica- Abstract:Electromagneticpropertieschangeindielectricconductivity duetostresschangesbeforethe earthquakemaycausethecorrespondingchangesinphaseandamplitudeofregionalverticalmagneticfield diurnalvariationcurve,andhencegeomagneticload-unloadresponseratiosanefectivemethodforidentifi- cationofabnormalamplitude.thispapercalculatesgeomagneticload-unloadresponseratiosbefore18sig- nificantearthquakesinthenorth-southseismicbelt,analyzesthegeomagneticload-unloadresponseration spatialdistributioncharacteristicsandtheformation mechanism beforeearthquakes.theresultsindicate that:1intheexclusionofspaceweather,surroundingenvironmentinstrumentandmonitoringsystemand otherfactors,geomagneticload-unloadresponseratioabnormalappearrbeforesomestrongearthquakes,ac- countingfor44.4%.2geomagneticload-unloadresponseratiothresholdisafectedbylatitude,andinthe conditionofthesamelongitude,thegreaterthelatitude,thelowerthethreshold.afterrepeateddebug- gingandcontrast,thecalculationresultsshowthattheresponseratiothresholdofthenorth-southseismic beltinthenorthernsectionis3,andthatofsouthandsouthwestregionsis3.1.3ingeneral,abnormal within6 monthsaftertheoccurrenceofmoderateearthquakes,thebiggerthenumberofabnormalsta- tions,thegreaterthemagnitudeofstrongearthquakes.theepicenterismorelikelytobelocatednearthe thresholdline. Keywords:geomagneticload-unloadresponseratio;dailyvariationamplitude;abnormityindex;earthquake prediction;north-southseismicbelt

GeologicalScienceandTechnologyInformation Vol.36 No.4 Jul doi: /j.cnki.dzkq ,,. [J].,2017,36(4): , 2 2, (1.

36 4 2017 7 GeologicalScienceandTechnologyInformation Vol.36 No.4 Jul. 2017 doi:10.19509/j.cnki.dzkq.2017.0432. [J]. 201736(4):244-249. 1 2 2 (1. 430074;2. 430206) : Kappa 92% : ; ; :P627 :A :1000-7849(2017)04-0244-06