Preliminary Analysis of Seismic Spatial Clustering in China Sea and Adjacent Areas
- https://doi.org/10.2991/aebmr.k.210409.015How to use a DOI?
- Spatial clustering analysis, K-means, Seismic belt, Seismic sources, Earthquakes in the China Sea
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/aebmr.k.210409.015 ID - Xu2021 ER -