[1]CAO Yanbo,WU Yanmei,XU Ruijie,et al.Research about the Perceptible Area Extracted after the Earthquake Based on the Microblog Public Opinion[J].Journal of Seismological Research,2017,40(02):303-310.
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Research about the Perceptible Area Extracted after the Earthquake Based on the Microblog Public Opinion
Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
40
Number of periods:
2017 02
Page number:
303-310
Column:
Public date:
2017-04-23
- Title:
- Research about the Perceptible Area Extracted after the Earthquake Based on the Microblog Public Opinion
- CLC:
- P315.941
- DOI:
- -
- Abstract:
- It is an effective way to obtain disaster information quickly after the earthquake,through the analysis and mining of the microblogs public opinion data,because microblog has the characteristics of real-time,interactive,strong diffusion,wide spatial distribution,and so on. Based on the microblogs public opinion,the technology framework was proposed for the earthquake felt area of fast determining,and the data access methods and technological processes were built. According to Chinese seismic intensity scale and post-earthquake field works for field survey,it sets up a micro-blogging earthquake disaster information classification system through micro-blogging feature associated with the earthquake rapid determinate target match. The perceptible area used for secondary disaster quick judgment is extracted after the earthquake,and secondary disaster quick judgment was achieved through the Natural Neighbor interpolation method of distributed micro-blogging disaster into a continuous distribution. This method has been applied in practice after the earthquake with magnitude 6.6 occurred on October 7,2014 in Jinggu county. It is concluded that fully mining microblog information is used for wide grasp of disaster and relief decisions within 1 to 2 hours after the earthquake,with the microblog user activity high,informative and rich. It makes up for the traditional technical problems with inefficient and little coverage of data.
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Last Update:
2017-06-10