The Research Of Anomalous Warming Data Processing And Visualization Preceding Earthquake

Anomalous warming is an important precursor to most moderate-strong earthquakes.Obtaining anomalous information before the earthquake can assist in the study and prediction of earthquakes.At present,most of the methods for obtaining temperature-increasing information are using NCEP(National Centers for Environmental Prediction)reanalysis data to extract two-dimensional temperature anomaly images,and then analyzing the temperature-increasing information.Since the temperature is present in the atmosphere in the form of a "field",the warming information obtained from the two-dimensional image can only reflect the local temperature increase of the temperature field,and the overall warming information of the abnormal temperature field is insufficient.Obviously,this way of displaying 3D space with 2D visualization technology has certain disadvantages.In order to make up for the lack of information obtained from the two-dimensional isobaric surface,this dissertation combines the visualization requirements of the abnormal temperature field in the seismic area according to the characteristics of the existing visualization technology,and performs three-dimensional visualization of the abnormal temperature field in the seismic area to obtain a more comprehensive increase.Warm information.The main work of the dissertation is as follows:(1)The direct volume rendering technique is used to show the abnormal temperature field in the seismic area.In order to obtain information on temperature increase from two-dimensional levels,it is impossible to fully demonstrate the limitations of the overall temperature increase of the temperature field.Direct volume rendering technology is used to three-dimensionally visualize the abnormal temperature field in the seismic area,and the internal structure and overall information of the temperature field are directly presented.Provides a global preview of the temperature field.(2)Three interpolation algorithms are proposed to reconstruct anomalous temperature field in seismic area.Since direct volume rendering requires volume data that can reflect the continuity of the temperature field,the data accuracy of the NCEP data does not meet the volume rendering requirements.For this reason,three volume data reconstruction methods are proposed in this dissertation:two-dimensional interpolation and three-dimensional integration.Interpolation and isotherm-based shape matching interpolation algorithms are used to reconstruct the abnormal temperature field.(3)Design and implement anomalous temperature field visualization prototype system.The system uses three interpolation algorithms to reconstruct the abnormal temperature field data from the NCEP warm-up data,and uses the VTK(Visualization Toolkit)volume rendering pipeline to visualize it.The results show that the three interpolation algorithms proposed in this paper can reconstruct the volumetric data of the abnormal temperature field in the seismic area.The visualization method using direct volume rendering is feasible and effective,and it is superior to the traditional method.