基于高频GPS和强震仪观测实时监测地表形变
作者：涂锐 著
出版时间：2017年版
内容简介
涂锐著的《基于高频GPS和强震仪观测实时监测地表形变(英文版)》系统地介绍了GPS和强震仪数据融合处理的基本原理和算法模型，主要包括松组合模型、紧组合模型、自适应组合模型、改进的松组合模型、改进的紧组合模型、组合处理中关键技术问题、
基线漂移与地表倾斜的关系以及各传感器观测的特点分析等。对GPS测速增强解算和基于联网模式的强震仪基线漂移校正也进行了分析介绍。
本书可供从事G**灾害*测预警方面的科研、生
产人员参考，也可作为高等学校大地测量与地球物理专业的教材使用。
目录
Chapter1Introduction
1.1Scientificbackground
1.1.1GPSsolutionapproaches
1.1.2Strong-motiondatasolutionapproaches
1.1.3IntegrationofGPSandaccelerometerobservations
1.2Aimsandobjectives
1.2.1Augmentationapproach
1.2.2Integrationapproach
1.2.3Adaptiveapproach
1.2.4Thekeyissuesaboutintegration
1.2.5Therelationshipbetweenbaselineshiftandgroundtiling
1.3Organizationofthebook
Chapter2Real-timemonitoringthegroundmotionusingGPSwithrealtimecorrections
2.1Introduction
2.2Methodology
2.2.1Thevelocitydeterminationmodelbasedonbroadcastephemeris
2.2.2Extractingcorrectionsfromthereferencestation
2.2.3Thevelocitydeterminationmodelbasedonreferencestationcorrection
2.2.4Retrievethefinaltruevelocityanddisplacement
2.2.5Thedataprocessingflowoftheaugmentationapproach
2.3Experimentanalysis
2.3.1ComparisonofdisplacementandvelocitybetweenGPSandstrong-motionsensor
2.3.2Comparisonofdisplacementandvelocityresultsbetweendifferentsampleratedata
2.3.3ComparisonofGPSresultsbetweenthesinglestationmethodandaugmentationmethod
2.3.4Comparisonoftheobservationresidualsandinitialtrenddriftcorrection
2.4Conclusion
Chapter3Applicationofanet-basedbaselinecorrectionschemeto
strong-motionrecordsofthe2011Mw9.0Tohoku
earthquake
3.1Introduction
3.2Methodology
3.2.1Selectionofreferencerecords
3.2.2Net-basedcorrectionontargetrecords
3.2.3Detectionofoutlierrecords
3.3Applicationtostrong-motiondataforthe2011Mw9.0Tohokuearthquake
3.3.1Data
3.3.2Selectedreferencerecords
3.3.3Augmentedtargetrecords
3.3.4Outlierrecords
3.3.5Improvementsoverthepreviousempiricalapproaches
3.4Conclusionanddiscussion
Chapter4Cost-effectivemonitoringofgroundmotionrelatedto
earthquakes,landslidesorvolcanicactivitybyjointuse
ofasingle-frequencyGPSandaMEMSaccelerometer
4.1Introduction
4.2Method
4.3Outdoorexperiments
4.4Discussionandconclusions
Chapter5Anewalgorithmfortightintegrationofreal-timeGPS
andstrong-motionrecords,demonstratedonsimulated,
experimentalandrealseismicdata
5.1Introduction
5.2Mathematicalmodel
5.3AnewapproachtocombineGPSandseismicaccelerometerdata
5.4Validationandanalysis
5.4.1Simulateddataset
5.4.2ExperimentalTest
5.4.3Applicationtoarealearthquake:E1Mayor-CucapahMw7.2,2010
5.5Summaryanddiscussion
Chapter6Adaptiverecognitionandcorrectionofbaselineshiftsfrom
collocatedGPSandaccelerometerusingtwophasesKalman
filter
6.1Introduction
6.2Methodology
6.2.1ThemodelfortightintegrationofGPSandstrong-motionmeasurements
6.2.2Theadaptiverecognitionofbaselineshiftsinstrong-motionrecords
6.2.3Theimplementationprocess
6.3Validation
6.3.1Experimentaltestusingashakingtable
6.3.2Applicationtoarealearthquake:2011Mw9.0Tohokuearthquake
6.4Conclusion
Chapter7AnimprovedlooseintegrationmethodofcoseismiewavesretrievingfromcollocatedGPSandaccelerometer
7.1Introduction
7.2Overviewofthetraditionallooseintegrationmethod
7.3Theimprovedlooseintegrationmethod
7.4Validationandanalysis
7.5Conclusion
Chapter8AnimprovedmethodfortightintegrationofGPSandstrong-motionrecords:complementaryadvantages
8.1Introduction
8.2Methodology
8.2.1UsingGPStoestimatebaselineshiftsforthestrong-motionsensor
8.2.2UsingaccelerationtoconstrainGPSsolutionandambiguity-resolution
8.2.3Theimplementationprocessofthemethod
8.3Validations
8.3.1Analysisofthebaselineshift
8.3.2Analysisofthedisplacementtimeseries
8.3.3Analysisofthezenithtroposphericdelay
8.3.4Analysisofthewaveforms
8.4Conclusionsanddiscussions
Chapter9ThestudyofkeyissuesaboutintegrationofGNSSand
strong-motionrecordsforreal-timeearthquake
monitoring
9.1Introduction
9.2MethodandData
9.3Validationandanalysis
9.3.1Coordinatesystem
9.3.2GNSSsamplingrate
9.3.3Theconstrainofthedynamicnoises
9.3.4GNSSdataquality
9.3.5Convergencespeed
9.3.6Ambiguityresolution
9.4Conclusionsanddiscussions
Chapter10Thestudyofbaselineshifterrorinstrong-motionandgroundtiltingduringco-seismicperiodbasedonGPSobservations
10.1Introduction
10.2Extractingstrong-motionbaselineshiftbasedonGPSobservation
10.3ExtractingofgroundtiltinginformationbasedonGPSobservation
10.4Validationandanalysis
10.4.1Experimentintroductionanddataprocessing
10.4.2Resultanalysis
10.4.3Acasestudyoftheearthquakeevent:2011Mw9.0Tohoku-Okiearthquake
10.5Conclusion
Chapter11Comparisonofhigh-rateGPS,strong-motionrecordsand
theirjointuseforearthquakemonitoring:aeasestudyof
the2011nw9.0Tohokuearthquake
11.1Introduction
11.2Datasetsandprocessingapproaches
11.2.1Datadescription
11.2.2Processingapproaches
11.3Resultsandanalysis
11.3.1Comparisonofhorizontalco-seismicmovement
11.3.2Comparisonintime-frequencydomainofthedisplacementtimeseries
11.3.3Comparisonofvelocitywaveforms
11.3.4ComparisonofPwavedetection
11.4Conclusionsanddiscussions
Chapter12Synthesis
12.1Conclusions
12.1.1GPSvelocityestimationaugmentationapproach
12.1.2Strong-motionnet-basedaugmentationapproach
12.1.3LooseintegrationofGPSandstrong-motionobservations
12.1.4TightintegrationofGPSandstrong-motionobservations
12.1.5AdaptiveintegrationofGPSandstrong-motionobservations
12.1.6ImprovedlooseintegrationofGPSandstrong-motionobservations
12.1.7ImprovedtightintegrationofGPSandstrong-motionobservations
12.1.8KeyissuesofintegrationofGPSandstrong-motionobservations
12.1.9Relationshipbetweenbaselineshiftsandgroundtilting
12.1.10Comparisonofdifferentsensorsforearthquakemonitoringandearlywarning
12.2Outlook
12.2.1Studytheearthquakeearlywarningmodel
12.2.2Studytheintegrationofmulti-sensoranddataqualitycontrol
12.2.3Developanewsensorandreal-timeapplicationsystem
Acronymsandabbreviations
References