咨询与建议

看过本文的还看了

相关文献

该作者的其他文献

文献详情 >mFAST:A MATLAB toolbox for oce... 收藏

mFAST:A MATLAB toolbox for ocean bottom seismometer refraction first-arrival traveltime tomography

mFAST: A MATLAB toolbox for ocean bottom seismometer refraction first-arrival traveltime tomography

作     者:Bin Liu Bin Liu

作者机构:Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou)Guangzhou 511458China Guangzhou Marine Geological SurveyGuangzhou 511458China 

出 版 物:《Earth and Planetary Physics》 (地球与行星物理(英文版))

年 卷 期:2022年第6卷第5期

页      面:487-494页

核心收录:

学科分类:081801[工学-矿产普查与勘探] 08[工学] 0818[工学-地质资源与地质工程] 0708[理学-地球物理学] 0816[工学-测绘科学与技术] 

基  金:financially supported by the Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (Grant No. GML2019 ZD0207) supported by the Guangzhou Municipal Science and Technology Bureau (Grant No. 202102021054) 

主  题:ocean bottom seismometer(OBS) first-arrival traveltime tomography open source MATLAB 

摘      要:First-arrival seismic traveltime tomography(FAST)is a well-established technique to estimate subsurface velocity structures.Although several existing open-source packages are available for first-arrival traveltime tomography,most were written in compiled languages and lack sufficient extendibility for new algorithms and functionalities.In this work,we develop an open-source,selfcontained FAST package based on MATLAB,one of the most popular interpreted scientific programming languages,with a focus on ocean bottom seismometer refraction traveltime tomography.Our package contains a complete traveltime tomography workflow,including ray-tracing-based first-arrival traveltime computation,linearized inversion,quality control,and high-quality visualization.We design the package as a modular toolbox,making it convenient to integrate new algorithms and functionalities as needed.At the current stage,our package is most efficient for performing FAST for two-dimensional ocean bottom seismometer surveys.We demonstrate the efficacy and accuracy of our package by using a synthetic data example based on a modified Marmousi model.

读者评论 与其他读者分享你的观点

用户名:未登录
我的评分