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Study On Prediction Modeling And Monitoring Technology Of Land Subsidence

Posted on:2006-02-25Degree:DoctorType:Dissertation
Country:ChinaCandidate:S ChengFull Text:PDF
GTID:1100360155962819Subject:Geodesy and Survey Engineering
Abstract/Summary:PDF Full Text Request
Land subsidence and deformation can be caused by many factors. It is a more important factor to restrict the society sustainable development. The key point of land subsidence study is to study on the prediction modeling and monitoring technology of land subsidence.Based on the analysis of the factors caused land subsidence, the internal mechanism and development process of land subsidence caused by two mainly factors of dewatering and underground mining have been studyed in this thesis. The random medium model and methods have been established to calculate the land subsidence and deformation caused by dewatering or underground minging and both of them. The prediction problem of land subsidence and deformation caused by single factor and many factors has been solved. Based on the viewpoint of model control theory and systematology, and combined the method of system identification and displacement anti-analysis, the concepts of equivalent model and parameters have been introduced. The theories and methods of model and parameters identification of land subsidence have been established. A new approach has been provided to solve the problems of model selection, model structure optimization and calculation parameters determining for land subsidence and deformation prediction. The stability study of parameters identification of land subsidence and deformation has been discussed from aspects of model and parameters errors, surveying errors, rock strata structure and parameters identification errors. The prediction system of land subsidence and deformation has been developed on GIS. The land subsidence monitoring methods have been sumed up. The use of InSAR technology to monitoring the land subsidence has been mainly discussed. The methods of monitoring the land subsidence have been soundly developed.
Keywords/Search Tags:Land subsidence, Prediction, Model identification, Parameters identification, InSAR, Monitoring
PDF Full Text Request
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