气候变化领域集成服务门户(CCPortal): Evaluation and comparison of the results of the NET-VISA seismic event association method based on Bayesian theory

CCPortal

DOI	10.1007/s11069-020-04364-3
	Evaluation and comparison of the results of the NET-VISA seismic event association method based on Bayesian theory
	Li J.; Wang J.; Wang X.; Jiang C.; Wang W.; Liu J.
发表日期	2021
ISSN	0921030X
起始页码	1521
结束页码	1539
卷号	105 期号:2
英文摘要	Seismic monitoring is an important verification technique under the Comprehensive Nuclear-Test-Ban Treaty. Phase association technology, which is an important component of seismic data processing, associates signals generated from the same event source recorded at multiple stations and determines event information based on signal features. Seismic event association based on the historical seismic data feature model is a research hot spot in the field of seismic monitoring. In this paper, an event association method called NET-VISA based on Bayesian theory is introduced; then, the application of the historical data feature model in NET-VISA is analyzed. The NET-VISA method is evaluated using the International Data Centre LEB bulletins published by the Comprehensive Nuclear-Test-Ban Treaty Organization, the ISC Reviewed Bulletins, and the China Earthquake Networks Center bulletin as reference sets. The results show that for the global sparse network, NET-VISA is generally superior to the GA method currently used by the IDC, which verifies NET-VISA's effectiveness. However, NET-VISA misses some events detected by the GA. The reasons might be that these events are located in regions with low seismic activity and that insufficient historical event data exists, resulting in unreasonable scoring results.Finally, the application method and research direction of NET-VISA in actual scenarios are discussed. © 2020, Springer Nature B.V.
关键词	Algorithm evaluation Bayesian inference Probability model Seismology
英文关键词	algorithm; Bayesian analysis; comparative study; data processing; data set; nuclear weapons testing; probability; seismic data; seismic discrimination; seismology; theoretical study
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206364
作者单位	Information and Electronics Technology Lab, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China; CTBT Beijing National Data Centre, Beijing, 100085, China; Institute of Geophysics, China Earthquake Administration, Beijing, 100081, China
推荐引用方式 GB/T 7714	Li J.,Wang J.,Wang X.,et al. Evaluation and comparison of the results of the NET-VISA seismic event association method based on Bayesian theory[J],2021,105(2).
APA	Li J.,Wang J.,Wang X.,Jiang C.,Wang W.,&Liu J..(2021).Evaluation and comparison of the results of the NET-VISA seismic event association method based on Bayesian theory.Natural Hazards,105(2).
MLA	Li J.,et al."Evaluation and comparison of the results of the NET-VISA seismic event association method based on Bayesian theory".Natural Hazards 105.2(2021).