大洋海底数据可视化和成图设计与分析

doi:10.13745/j.esf.sf.2021.9.21

地学前缘 ›› 2022, Vol. 29 ›› Issue (5): 255-264.DOI: 10.13745/j.esf.sf.2021.9.21

大洋海底数据可视化和成图设计与分析

朱俊江¹^,²^,³^,⁴(), 欧小林¹^,²^,³^,⁴, 杨悦¹^,²^,³^,⁴, 陈瑞雪¹^,²^,³^,⁴, 张绍玉¹^,²^,³^,⁴, 贾仲佳¹^,²^,³^,⁴, 张升升¹^,²^,³^,⁴, 王鹏程¹^,²^,³^,⁴, 李三忠¹^,²^,³^,⁴, 刘永江¹^,²^,³^,⁴, 贾永刚⁵^,⁶

1.中国海洋大学深海圈层与地球系统前沿科学中心, 山东青岛 266100
2.海底科学与探测技术教育部重点实验室, 山东青岛 266100
3.中国海洋大学海洋地球科学学院, 山东青岛 266100
4.青岛海洋科学与技术国家实验室海洋矿产资源评价与探测技术功能实验室, 山东青岛 266071
5.中国海洋大学山东省海洋环境地质工程重点实验室, 山东青岛 266100
6.青岛海洋科学与技术国家实验室海洋地质过程和环境功能实验室, 山东青岛 266100

收稿日期:2020-07-06 修回日期:2021-01-15 出版日期:2022-09-25 发布日期:2022-08-24
作者简介:朱俊江(1976—),男,教授,主要从事海洋地质与地球物理研究工作。E-mail: zhujunjiang@ouc.edu.cn
基金资助:
山东省自然科学基金面上项目(ZR2019MD036);国家自然科学基金重点项目(91958214);国家自然科学基金重点项目(41831280);中央高校基本科研业务费专项(202172002);中央高校基本科研业务费专项(202172003);青岛海洋科学与技术试点国家实验室海洋矿产资源评价与探测技术功能实验室自主课题资助项目(MMRZZ201802);中国海洋大学青年英才人才项目(201812016);泰山学者项目(ts20190918);青岛市领军人才资助项目(19-3-2-19-zhc)

Seafloor visualization and graphic user interface design

ZHU Junjiang¹^,²^,³^,⁴(), OU Xiaolin¹^,²^,³^,⁴, YANG Yue¹^,²^,³^,⁴, CHEN Ruixue¹^,²^,³^,⁴, ZHANG Shaoyu¹^,²^,³^,⁴, JIA Zhongjia¹^,²^,³^,⁴, ZHANG Shengsheng¹^,²^,³^,⁴, WANG Pengcheng¹^,²^,³^,⁴, LI Sanzhong¹^,²^,³^,⁴, LIU Yongjiang¹^,²^,³^,⁴, JIA Yonggang⁵^,⁶

1. Frontiers Science Center for Deep Ocean Multispheres and Earth System,Ocean University of China, Qingdao 266100, China
2. Key Lab of Submarine Geosciences and Prospecting Techniques, Ministry of Education, Qingdao 266100, China
3. College of Marine Geosciences, Ocean University of China, Qingdao 266100, China
4. Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China
5. Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering, Ocean University of China, Qingdao 266100, China
6. Laboratory for Marine Geology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China

Received:2020-07-06 Revised:2021-01-15 Online:2022-09-25 Published:2022-08-24

摘要/Abstract

摘要：

随着全球大洋调查的不断开展以及各种海底探测技术的进步,海洋调查数据积累日益增多。以往主要通过使用不同的专业软件来进行各类大洋数据的可视化和成图分析。在海洋调查方面目前迫切需要一种可视化软件,能够快速显示海底大洋的观测和探测数据,并能够快速简单地综合分析和成图。为了解决快速可视化和多种类型数据同界面显示问题,本文利用Matlab中的图形用户界面工具,开发和设计了简单易操作的OceanVis1.0数据可视化和图形用户界面。通过使用OceanVis1.0,用户可以方便地对全球海底大洋多波束水深、海洋重力异常、海洋磁异常、地震波形数据等进行可视化和成图分析,能够解决大洋关键区域的多种数据可视化综合分析问题。对不同类型的数据可以进行二维测线和三维空间数据变化的显示,也可以实现数据成图的放大、缩小和旋转功能。对于多波束、重磁数据空间变化数据,可以进行二维测线的任意切割和成图输出,不用保留中间成图即可满足用户的实时数据显示和快速查看功能。OceanVis1.0也能为具体航次的海底调查提供各类海底探测数据的快速显示,以及包括航次中获取的数据显示和初步分析功能,能够为研究区航次测线的规划提供数据可视化和图形支撑平台。

关键词: 数据可视化, 图形用户界面, 全球海底数据, OceanVis1.0

Abstract:

Marine survey data increase steadily with the continuous progress in global marine surveying and the development of marine exploration techniques. So far various specialized softwares have been used to display/plot all types of marine survey data for visualization. However, it is necessary to create a data visualization tool for quick data display and analysis for today's global ocean observation and seafloor exploration. Here, for visualization and simultaneous display of multi-type data, we design and develop (using Matlab) a simple, easy-to-use data visualization and graphic user interface called OceanVis1.0. Using OceanVis1.0, all types of marine survey data—global bathymetric data, marine gravity anomaly data, marine magnetic anomaly data, earthquake waveform data, etc.—can be easily visualized for mapping analysis, and comprehensive visual analysis of key oceanic areas can be achieved. In OceanVis1.0, multi-type survey data can be displayed using 2D lines and 3D space variations, and visual manipulation such as zoom and rotation is also easy to do. For multi-beam, marine gravity and magnetic anomaly data, free cutting 2D lines and graphic output without saving intermediate graphics provide real-time visualization and a quick display. Meanwhile, OceanVis1.0 allows quick display and analysis of marine exploration data obtained from survey voyages, thus can be used in designing ship surveying lines for a specific research area.

Key words: data visualization, graphic user interface, global ocean seafloor data, OceanVis1.0

中图分类号:

P714
P738

朱俊江, 欧小林, 杨悦, 陈瑞雪, 张绍玉, 贾仲佳, 张升升, 王鹏程, 李三忠, 刘永江, 贾永刚. 大洋海底数据可视化和成图设计与分析[J]. 地学前缘, 2022, 29(5): 255-264.

ZHU Junjiang, OU Xiaolin, YANG Yue, CHEN Ruixue, ZHANG Shaoyu, JIA Zhongjia, ZHANG Shengsheng, WANG Pengcheng, LI Sanzhong, LIU Yongjiang, JIA Yonggang. Seafloor visualization and graphic user interface design[J]. Earth Science Frontiers, 2022, 29(5): 255-264.

图/表 8

图1 大洋海底数据可视化和图形用户界面 (OceanVis1.0)

Fig.1 Data visualization and graphical user interface for ocean seafloor data (OceanVis1.0)

图2 OceanVis1.0数据可视化和图形用户界面设计流程

Fig.2 OceanVis1.0 design flowchart on data visualization and graphical user interface

图3 水深数据三维旋转可视化

Fig.3 Three-dimensional rotational visualization map of bathymetric data

图4 海洋重力异常数据绘制与分析 a—自由空气重力异常;b—布格重力异常。

Fig.4 Graphics and analysis for marine gravity anomaly data

图5 海洋磁异常数据绘制与分析

Fig.5 Graphics and analysis for marine magnetic anomaly data

图6 全球大洋地壳年龄和大洋钻探井位分布

Fig.6 Distribution for global oceanic crust ages and ocean drilling well sites

图7 不同深度P波地震层析成像 a—深度300 km层析成像P波扰动;b—深度700 km层析成像P波扰动。

Fig.7 Tomography images of P-wave perturbation at different depths

图8 东日本大地震(2011年3月11日,M=8.9)三分量地震波形数据绘制和分析

Fig.8 Three-component seismic waveform display and analysis for large Tohoku earthquake in Japan (11 March, 2011; M=8.9)

参考文献 18

[1]	MÜLLER R D, CANNON J, QIN X D, et al. GPlates: building a virtual earth through deep time[J]. Geochemistry, Geophysics, Geosystems, 2018, 19(7): 2243-2261. DOI URL
[2]	WHITE R E. Computational mathematics:models, methods, and analysis with MATLAB and MPI[M]. Boca Raton: CRC Press, 2004.
[3]	TRAUTH M H. MATLAB© recipes for Earth sciences[M]. Berlin, Heidelberg: Springer, 2015.
[4]	GERYA T. Introduction to numerical geodynamic modelling[M]. New York: Cambridge University Press, 2010.
[5]	ZELLER S, ROGERS D. Visualizing science: how color determines what we see[J]. Eos Transactions American Geophysical Union, 2020, 101. https://doi.org/10.1029/2020EO144330
[6]	朱俊江, 李三忠, 陆敬安, 等. 南海北部神狐海域地质环境综合调查及科学意义[J]. 地球科学, 2020, 45(4): 1416-1426.
[7]	ZHU J J, LI S Z, CHEN X L, et al. Large intraplate earthquakes and static stress changes in the South China coastal region[J]. Gondwana Research, 2020. https://doi.org/10.1016/j.gr.2020.03.004
[8]	SANDWELL D T, SMITH W H F. Marine gravity anomaly from Geosat and ERS-1 satellite altimetry[J]. Journal Geophysical Research, 1997, 102: 10039-10054. DOI URL
[9]	SANDWELL D T, MÜLLER R D, SMITH W H, et al. Marine geophysics. New global marine gravity model from CryoSat-2 and Jason-1 reveals buried tectonic structure[J]. Science, 2014, 346(6205): 65-67. DOI URL
[10]	MEYER B, CHULLIAT A, SALTUS R. Derivation and error analysis of the earth magnetic anomaly grid at 2 arc Min resolution version 3 (EMAG2v3)[J]. Geochemistry, Geophysics, Geosystems, 2017, 18(12): 4522-4537. DOI URL
[11]	MÜLLER R D, SDROLIAS M, GAINA C, et al. Age, spreading rates, and spreading asymmetry of the world's ocean crust[J]. Geochemistry, Geophysics, Geosystems, 2008, 9(4): Q04006.
[12]	DURAND S, ABREU R, THOMAS C. SeisTomoPy: fast visualization, comparison, and calculations in global tomographic models[J]. Seismological Research Letters, 2018, 89(2A): 658-667. DOI URL
[13]	LI C, HILST R D V D, ENGDAHL E R, et al. A new global model for 3-D variations of P-wave velocity in the Earth's mantle[J]. Geochemistry, Geophysics, Geosystems, 2008, 9: Q05018.
[14]	WESSEL P, SMITH W H F. A global, self-consistent, hierarchical, high-resolution shoreline database[J]. Journal of Geophysical Research: Solid Earth, 1996, 101(B4): 8741-8743.
[15]	KOHLER M D, HAFNER K, PARK J, et al. A plan for a long-term, automated, broadband seismic monitoring network on the global seafloor[J]. Seismological Research Letters, 2020, 91(3): 1343-1355. DOI URL
[16]	BORMANN P, DI GIACOMO D. Earthquake:magnitudes, energy, and moment[M]// MEYERSR.Encyclopedia of complexity and systems science. Berlin, Heidelberg: Springer, 2015: 1-55.
[17]	JORDANOVSKI L. Reading mini-Seed[DB/OL]. (2020-05-24) [2020-05-24]. https://www.mathworks.com/matlabcentral/fileexchange/24377-reading-mini-seed
[18]	BEAUDUCEL F. RDMSEED and MKMSEED: read and write miniSEED files[DB/OL]. (2020-05-25) [2020-05-25]. https://www.github.com/IPGP/mseed-matlab

大洋海底数据可视化和成图设计与分析

Seafloor visualization and graphic user interface design

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