元数据
上传
数据库
地震动
计算机科学
协议(科学)
俯冲
集合(抽象数据类型)
加速度
数据集
地质学
地震学
操作系统
人工智能
构造学
物理
程序设计语言
经典力学
替代医学
病理
医学
作者
Haitham M. Dawood,Adrián Rodríguez-Marek,Jeff Bayless,Christine Goulet,Eric M. Thompson
摘要
The Kiban-Kyoshin network (KiK-net) database is an important resource for ground motion (GM) studies. The processing of the KiK-net records is a necessary first step to enable their use in engineering applications. In this manuscript we present a step-by-step automated protocol used to systematically process about 157,000 KiK-net strong ground motion records. The automated protocol includes the selection of the corner frequency for high-pass filtering. In addition, a comprehensive set of metadata was compiled for each record. As a part of the metadata collection, two algorithms were used to identify dependent and independent earthquakes. Earthquakes are also classified into active crustal or subduction type events; most of the GM records correspond to subduction type earthquakes. A flatfile with all the metadata and the spectral acceleration of the processed records is uploaded to NEEShub ( https://nees.org/resources/7849 , Dawood et al. 2014 ).
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