Preliminary Analysis of Seismic Spatial Clustering in China Sea and Adjacent Areas

DOI

10.2991/aebmr.k.210409.015How to use a DOI?

Keywords

Spatial clustering analysis, K-means, Seismic belt, Seismic sources, Earthquakes in the China Sea

Abstract

The spatial distribution of earthquakes is an important basis for the classification of potential source areas in seismic hazard analysis. It is very important to excavate the spatial distribution information of earthquake to indicate the division of seismic belt and potential seismic source. In this paper, the k-means spatial clustering analysis method is adopted to conduct a preliminary study on the seismic space division of China’s sea areas and adjacent areas. The results show that when the number of spatial clustering is 5 and 16, the clustering results are relatively the best, and when the number of spatial clustering is 5, the spatial partition results are in good agreement with the results of seismic belt division, which means that the clustering analysis results have reference value for seismic belt division. When the number of clusters is 16, the partition results are further refined, which has reference value for the classification of potential seismic sources. Therefore, K-means cluster analysis method has a strong application potential in the division of seismic belts or potential seismic sources, and can obtain scientific and effective results. In areas with unknown faults and lack of data, it can be used as an important means for the division of potential seismic sources.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Weijin Xu
AU  - Xuejing Li
AU  - Zhuojuan Xie
AU  - Yujun Lv
PY  - 2021
DA  - 2021/04/12
TI  - Preliminary Analysis of Seismic Spatial Clustering in China Sea and Adjacent Areas
BT  - Proceedings of the 9th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2020)
PB  - Atlantis Press
SP  - 99
EP  - 103
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210409.015
DO  - 10.2991/aebmr.k.210409.015
ID  - Xu2021
ER  -