汤加火山的地震学研究  

Seismological studies of Tonga volcanoes

作　　者：周鹏程 张江阳 ZHOU Pengcheng;ZHANG Jiangyang(CAS Key Laboratory of Ocean and Marginal Sea Geology,South China Sea Institute of Oceanology,Innovation Academy of South China Sea Ecology and Environmental Engineering,Chinese Academy of Sciences,Guangzhou 511458,China;Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou),Guangzhou 511458,China)

机构地区：[1]中国科学院边缘海与大洋地质重点实验室,中国科学院南海海洋研究所,南海生态环境工程创新研究院,广州511458 [2]南方海洋科学与工程广东省实验室(广州),广州511458

出　　处：《科技导报》2023年第2期51-55,共5页Science & Technology Review

基　　金：国家自然科学基金项目(42206071)。

摘　　要：俯冲带的地震监测仍然是一个挑战,特别是对于人口稠密地区。2022年1月汤加的洪阿汤加—洪阿哈阿帕伊火山的喷发以及引发的地震凸显了这一需求的急迫性。综合汤加地震学观测,推测汤加部分火山近期仍有小规模喷发风险。选取2009—2010年覆盖汤加的海底地震仪台阵数据,应用机器学习算法进行数据处理,得到汤加火山岛链附近高分辨率的地震目录。The improvement of seismic monitoring in subduction zone remains a challenge, especially for densely populated areas. The eruption of the Hunga Tonga-Hunga Ha’apai volcano in January 2022 and subsequent earthquakes highlighted such urgency. This paper exhibits comprehensive seismological observations in Tonga, implying ongoing hazards in the short future in terms of small-scale volcanic eruptions. There is an urgent need to keep close watch on this very active volcano. Based on ocean bottom seismometer network data between 2009 and 2010 in Tonga, this paper applies novel machine learning algorithms to earthquake detections. The obtained high-resolution earthquake catalog is fundamentally important for a better understanding of the volcano structures and associated magmatic activities.

关 键 词：汤加 火山喷发 地震监测 机器学习 海底地震仪 

分 类 号：P317[天文地球—固体地球物理学]