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An open-source site database of strong-motion stations in Japan: K-NET and KiK-net (v1.0.0)

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Mendeley Data2024-03-20 更新2024-06-30 收录
下载链接:
https://figshare.com/articles/dataset/An_open-source_site_database_of_strong-motion_stations_in_Japan_K-NET_and_KiK-net_v1_0_0_/12591854
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资源简介:
This is an open-source site database for a total number of 1742 earthquake recording sites in the K-NET (Kyoshin network) and KiK-net (Kiban Kyoshin network) networks in Japan. This database contains site characterization parameters directly derived from available velocity profiles, including average wave velocities, bedrock depths, and velocity contrast. Meanwhile, it also consists of parameters obtained from earthquake horizontal-to-vertical spectral ratio (HVSR), e.g., peak frequency, amplitude, width and prominence. In addition, the site database also comprises topographic and geological proxies inferred from regional models or maps. Each parameter is derived in a consistent manner for all sites. This site database can benefit the application of machine learning techniques in studies on site amplifications. Besides, it can facilitate, for instances, the search of the optimal site parameter(s) in depicting site amplifications, the development and testing of new or existing prediction models or methodologies.This zip file contains earthquake HVSR data, including metadata and plots of automatically identified peaks (frequency, amplitude, prominence and width) at 1700+ K-NET and KiK-net strong-motion recordings stations. This MATLAB code is for automatically picking peaks (frequency, amplitude, prominence and width) from HVSR curves. Reference: Zhu C, Weatherill G, Cotton F, Pilz M, Kwak DY, Kawase H. An open-source site database of strong-motion stations in Japan: K-NET and KiK-net (v1.0.0). Earthquake Spectra. 2021;37(3):2126-2149. doi:10.1177/8755293020988028

本数据集为日本K-NET(强震观测网,Kyoshin network)与KiK-net(基盘强震观测网,Kiban Kyoshin network)共计1742个地震记录台站的开源台站数据库。该数据库包含由实测速度剖面直接推导得到的台站特征参数,涵盖平均波速、基岩埋深与波速对比度。同时,数据库还包含由地震水平向-垂向谱比(horizontal-to-vertical spectral ratio, HVSR)计算得到的参数,例如峰值频率、幅值、谱宽与突出度。此外,该台站数据库还纳入了由区域模型或地图推导得到的地形与地质代用指标。所有台站的参数均采用统一方法推导得到。本台站数据库可有力支撑机器学习技术在台站放大效应研究中的应用。此外,该数据库还可助力诸如筛选用于刻画台站放大效应的最优台站参数、开发与测试新型或已有预测模型及方法等多项研究工作。本压缩包包含地震HVSR数据,涵盖1700余个K-NET与KiK-net强震台站的元数据,以及自动识别的峰值(频率、幅值、突出度与谱宽)绘图结果。附带的MATLAB代码可用于从HVSR曲线中自动拾取峰值参数(频率、幅值、突出度与谱宽)。参考文献:Zhu C、Weatherill G、Cotton F、Pilz M、Kwak DY、Kawase H. 日本强震台站开源台站数据库:K-NET与KiK-net(v1.0.0). 《地震谱》(Earthquake Spectra). 2021;37(3):2126-2149. doi:10.1177/8755293020988028
创建时间:
2024-03-16
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背景概述
这是一个包含日本K-NET和KiK-net强震台站1742个站点特征参数的开放源数据库,涵盖从速度剖面和HVSR曲线中提取的多项参数,适用于机器学习和地震工程研究。
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