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Analysis Of Correlation Between Natural Earthquakes And Fault Zones

Posted on:2019-02-15Degree:MasterType:Thesis
Country:ChinaCandidate:Y WangFull Text:PDF
GTID:2348330542954782Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
The earthquake is a very serious natural disaster.Countless damages and property damages caused by earthquakes occur every year in the world.Destructive earthquakes usually occur in structural areas and active fault zones.Because of the relative motion between blocks within the continental plate and the difference in activity,earthquakes near a fault area cause earthquakes in the vicinity of active faults that have a long distance.The purpose is to find the correlation relationship between the different faults in different faults through natural earthquakes,and then provide relevant theoretical basis for earthquake prediction.The original seismic dataset and fault data was provided by the National Science and Technology Infrastructure Platform.Based on the high dimensionality,massiveness,and nonlinearity of seismic data,the data preprocessing scheme is preliminarily designed to ensure the completeness of the dataset.Perform data cleaning and data reduction,and use the method of deleting outlier records,nearest neighbor interpolation,and average-filling to fill in the missing fields of seismic data.Analyze the proportion of available data of each attribute field in the total data set.The physical meaning in seismology selects the characteristics of the magnitude and spatial position of the earthquake;then the average filter method commonly used in software filtering is used to synthesize the statistics of the number of earthquakes generated in each province over the years,and the start and end years of earthquake seizure are selected.Data preprocessing is performed on the tomographic data,the redundant noise data in the data set is deleted,and the processed faults are numbered and processed for subsequent algorithm design and experimental analysis.Moreover,Proposed a fault-oriented classification algorithm for pre-processed data,classifies seismic events into relevant fracture zones based on distance formulas,makes seismic events have spatial attributes of fault zones,and secondly,calls Baidu-provided Geocoding Api.Interfaces,inverse address resolution of seismic events in latitude and longitude,Apriori algorithm for preliminary screening of data,elimination of adjacent faults in the province,and research on the influence of fault areas on the distance from earthquakes.Finally,redesigned the similarity measurement model.Seismic events are arranged in chronological order to form a series of seismic time series.The “concomitant” relationship of the seismogenic area of each fault region is found using the time series matching algorithm.The comparative experiments of designing different time windows and magnitude thresholds were conducted to study the historical seismogenic records of the fault region,which proved the reliability of the conclusions obtained.The experimental results show that this study has a good experimental effect on the correlation between faults based on earthquakes,and the research on seismic prediction of active faults has certain practical significance.
Keywords/Search Tags:fault, matching sequence, pretreatment, earthquake prediction
PDF Full Text Request
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