Home > Papers

 
 
A method of quantitative analysis based on deviation coefficient and sliding time window
ZHANG Zhanyang 1 * #,YANG Guohua 2,SUN Qikai 2,ZHANG Junqing 2,HE Yadong 2
1.The First Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China;The First Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China;The First Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China;The First Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China;The First Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China
2.
*Correspondence author
#Submitted by
Subject:
Funding: Directional Work Tasks in Earthquake Tracking of China Earthquake Administration （No.2019010225）, Special Foundation of Science and Technology Basic Work of China （No.2015FY210400）
Opened online: 3 January 2020
Accepted by: none
Citation: ZHANG Zhanyang,YANG Guohua,SUN Qikai.A method of quantitative analysis based on deviation coefficient and sliding time window[OL]. [ 3 January 2020] http://en.paper.edu.cn/en_releasepaper/content/4750331
 
 
In order to scientifically and accurately describing the shape of deviation distribution curve of the short-level segment data of seismostation, this paper used deviation coefficient and sliding time window to analyze and summarize trends of deviation distribution curves of 2-3(k) segment of Chaoyang seismostation quantitatively before and after Chaoyang M4.6 and M4.3 earthquakes on May 22, 2016: general data anomalies caused by crustal deformation reveal the deviation coefficients get larger and the shapes of deviation distribution curves of the segment deviate from normal distribution before the earthquake, and the deviation coefficients get smaller and the shapes of deviation distribution curves of the segment restore to normal distribution after the earthquake. Then preliminary analysis of earthquake risk near the seismostation was made based on recent data. As a result, the figures prove that this quantitative analysis method has reference valuable for data anomalies recognition before earthquake to a certain extent, which also provides a new way of research for earthquake monitoring and prediction analyzing.
Keywords:surveying and mapping; deviations statistics; deviation coefficient; deviation distribution curve; sliding time window; quantitative analysis; earthquake
 
 
 

For this paper
  • ● PDF (0B)
  • ● Revision 0 　　
  • ● Print this paper
  • ● Recommend this paper to a friend
  • ● Add to my favorite list

    Saved Papers

    Please enter a name for this paper to be shown in your personalized Saved Papers list

Tags
Add yours

Related Papers

Statistics
PDF Downloaded 116
Bookmarked 0
Recommend 0
Comments Array
Submit your papers