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Real-time Temporal Point Positioning Method And Strong Seismic Solution For Coseismic Displacement Method And Prototype System Design

Posted on:2018-07-20Degree:MasterType:Thesis
Country:ChinaCandidate:S K GuanFull Text:PDF
GTID:2370330515989769Subject:Geodesy and Survey Engineering
Abstract/Summary:PDF Full Text Request
Earthquake is due to the slow accumulation of energy within the earth caused by the sudden release of the Earth's surface vibration caused by the natural phenomenon of human life has made a huge threat.In order to mitigate the loss of property caused by the earthquake,countries have established earthquake warning systems with seismograph/strong-motion seismometers as observation equipment.Earthquake early warning system on the one hand there are many successful cases of early warning,on the other hand there is a large earthquake occurred when the failure of the situation,these predictions of failure,seriously restricting its reliability.In recent years,with the development of high-frequency GNSS technology,it is possible to use it for epicentral surface displacement monitoring.Compared with the traditional seismograph/strong-motion seismometers in the event of large earthquake failure,on the one hand GNSS can not range and instrument tilt effect,to solve the high-precision coseismic displacement results;On the other hand,the observation noise of GPS is large and the sampling rate is low,so it is difficult to obtain the weak deformation information of the surface,and the high sampling rate of the strong-motion seismometers/seismograph is very complementary to the sensitive features of the surface.Combined with the characteristics of GNSS technology and seismograph/strong-motion seismometers,the corresponding observations are combined to achieve their respective advantages to obtain more accurate coseismic displacement results.This paper introduces the construction of real-time temporal point positioning method and strong-motion seismometers to solve the coseismic displacement method and the corresponding prototype system design,around this theme,mainly carried out the following work:(1)This paper introduces the scheme of precision single point positioning method,single station velocity measurement method and interval difference method between generators,and summarizes the high efficiency of the interplanar position difference method in solving the coseismic displacement,The final displacement is not divergent and so on.(2)Completed the preparation of real-time temporal point positioning method,and through static simulation experiment,using broadcast ephemeris,real-time correction of broadcast ephemeris(hereinafter referred to as real-time precision ephemeris)and precision ephemeris program,The comparison between the real-time temporal point positioning method and the post-event scheme in the solution scenario is verified,and the feasibility of real-time scheme for solving the coseismic displacement is verified.(3)Based on the real-time temporal point positioning method,combined with the measured data of the New Zealand earthquake in 2015,the results of the coseismic displacement obtained by the temporal point positioning method of the modified broadcast ephemeris are compared with those of the original broadcasting star The results show that the accuracy of the scheme is higher than that of the real-time precision ephemeris program.(4)Kalman filter is used to combine the temporal point positioning method and the strong earthquake instrument data,and the advantages of the two observation modes are combined to obtain the coseismic displacement results with more high frequency vibration details and the final result is not divergent The(5)This paper introduces the design of the prototype system of temporal point positioning method and strong-motion seismometers combination from the aspects of multi-thread operation mode,real-time data stream decoding and transmission,prototype system basic structure and so on.
Keywords/Search Tags:high frequency GNSS, strong-motion seismometers, coseismic displacement, Kalman filter, temporal point positioning
PDF Full Text Request
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