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Unequally Interval Data Processing Across Fault Deformation Measurement

Received: 10 March 2022     Accepted: 1 April 2022     Published: 14 April 2022
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Abstract

According to different regions, conditions and requirements, the cross-fault measurement specifications is allowed to measure at different resurvey periods, and resulted in unequal interval observation data. The unequal interval observation data is a common phenomenon data, the difference on both sides of the fault is observed by geological investigation, historical record, artificial observation, simulated record, digital sampling, encrypted observation before and after the event, change of observation equipment, change of observation environment, human factors, etc, and the unequal interval observation data is obtained. The characteristics of the unequal interval observation data is not only shown in time, but also in space. The unequal interval observation data is usually preprocessed into equal interval data by some kind of algorithm chosen before the subsequent complex calculation. In the data processing of cross-fault measurement, the unequal interval observation data is usually preprocessed into equal interval data, and then calculated, which leads to a series of new problems, such as time calculation, synchronization, master-slave relationship, comparability and so on. In view of unequal interval observation data in cross-fault measurement, some new problems are tried to solve in unequal interval data matching calculation by using conventional methods combined with some algorithm requirements, data characteristics and practical experience, and their adaptability in various algorithms is investigated in this paper. These works contribute to the improvement and development of cross-fault survey data processing methods, and enhance the role of cross-fault survey data in earthquake protection and disaster reduction.

Published in Earth Sciences (Volume 11, Issue 2)
DOI 10.11648/j.earth.20221102.11
Page(s) 29-34
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Cross-Fault Deformation Measurement, Retest Period, Unequal Interval Data, Synchronization Domain, Comparability

References
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[3] China Earthquake Administration. Earthquake Industry Standard of the People's Republic of China: The Method of Earthquake-Related Crust Monitoring-Fault-Crossing Displacement Measurement. Beijing: Seismological Press, 2012.
[4] Lu M., Liu T., & Huang B., et al (2011). Discussion of Environment and Monitoring Technology for Cross-Fault Mobile Deformation Monitoring. Journal of Geodesy and Geodynamics, 31 (5), 141-145. doi: 10.14075/j.jgg.2011.05.031.
[5] Software Technology Group, State Seismological Bureau. The Software System for Earthquake Prediction in China. Beijing: Seismological Press, 1994.
[6] Jiang J., Li S., & Zhang Y., et al (2000). Earthquake Precursor Information Processing and Software System. Seismological Press.
[7] Lu Y., Li S., & Deng Z., et al (2002). GIS-Based Seismic Analysis and Forecasting System. Chengdu Cartographic Publishing House.
[8] Peng Y., Wu A., & Li S., et al (2012). Dynamic Display of Observation Curve on China Earthquake Precursor Network. Journal of Geodesy and Geodynamics, 32 Supp., 49-52. doi: 10.14075/j.jgg.2012.S1.015.
[9] Qu J., Zhang S., (2014). Study on Cross-Fault Site Information System Based on GIS. Recent Developments in World Seismology, 424 (4), 27-34.
[10] Lu M., Xiong D., & Yu H., et al (2015). The Building of Temporary Cross-Fault Deformation Basis and Monitoring Data and It’s Environmental Information Database in The Capital Region. Recent Developments in World Seismology, 442 (10), 32-38.
[11] Liu W., Lu M., & Luo S., et al (2020). Design and Implementation of Data Management and Pre-processing System for Cross-Fault Flow Deformation. Technology for Earthquake Disaster Prevention, 15 (3), 635-642. Doi: 10.11899/zzfy20200318.
[12] Xu S. (1994). C Common Algorithms. Tsinghua University Press.
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Cite This Article
  • APA Style

    Peizhi Wu, Tianhai Liu, Mingyong Lu, Yan Xiong, Leyin Hu, et al. (2022). Unequally Interval Data Processing Across Fault Deformation Measurement. Earth Sciences, 11(2), 29-34. https://doi.org/10.11648/j.earth.20221102.11

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    ACS Style

    Peizhi Wu; Tianhai Liu; Mingyong Lu; Yan Xiong; Leyin Hu, et al. Unequally Interval Data Processing Across Fault Deformation Measurement. Earth Sci. 2022, 11(2), 29-34. doi: 10.11648/j.earth.20221102.11

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    AMA Style

    Peizhi Wu, Tianhai Liu, Mingyong Lu, Yan Xiong, Leyin Hu, et al. Unequally Interval Data Processing Across Fault Deformation Measurement. Earth Sci. 2022;11(2):29-34. doi: 10.11648/j.earth.20221102.11

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  • @article{10.11648/j.earth.20221102.11,
      author = {Peizhi Wu and Tianhai Liu and Mingyong Lu and Yan Xiong and Leyin Hu and Pingfa Zhang and Jiannong Wen and Hong Ji and Gang Feng},
      title = {Unequally Interval Data Processing Across Fault Deformation Measurement},
      journal = {Earth Sciences},
      volume = {11},
      number = {2},
      pages = {29-34},
      doi = {10.11648/j.earth.20221102.11},
      url = {https://doi.org/10.11648/j.earth.20221102.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20221102.11},
      abstract = {According to different regions, conditions and requirements, the cross-fault measurement specifications is allowed to measure at different resurvey periods, and resulted in unequal interval observation data. The unequal interval observation data is a common phenomenon data, the difference on both sides of the fault is observed by geological investigation, historical record, artificial observation, simulated record, digital sampling, encrypted observation before and after the event, change of observation equipment, change of observation environment, human factors, etc, and the unequal interval observation data is obtained. The characteristics of the unequal interval observation data is not only shown in time, but also in space. The unequal interval observation data is usually preprocessed into equal interval data by some kind of algorithm chosen before the subsequent complex calculation. In the data processing of cross-fault measurement, the unequal interval observation data is usually preprocessed into equal interval data, and then calculated, which leads to a series of new problems, such as time calculation, synchronization, master-slave relationship, comparability and so on. In view of unequal interval observation data in cross-fault measurement, some new problems are tried to solve in unequal interval data matching calculation by using conventional methods combined with some algorithm requirements, data characteristics and practical experience, and their adaptability in various algorithms is investigated in this paper. These works contribute to the improvement and development of cross-fault survey data processing methods, and enhance the role of cross-fault survey data in earthquake protection and disaster reduction.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Unequally Interval Data Processing Across Fault Deformation Measurement
    AU  - Peizhi Wu
    AU  - Tianhai Liu
    AU  - Mingyong Lu
    AU  - Yan Xiong
    AU  - Leyin Hu
    AU  - Pingfa Zhang
    AU  - Jiannong Wen
    AU  - Hong Ji
    AU  - Gang Feng
    Y1  - 2022/04/14
    PY  - 2022
    N1  - https://doi.org/10.11648/j.earth.20221102.11
    DO  - 10.11648/j.earth.20221102.11
    T2  - Earth Sciences
    JF  - Earth Sciences
    JO  - Earth Sciences
    SP  - 29
    EP  - 34
    PB  - Science Publishing Group
    SN  - 2328-5982
    UR  - https://doi.org/10.11648/j.earth.20221102.11
    AB  - According to different regions, conditions and requirements, the cross-fault measurement specifications is allowed to measure at different resurvey periods, and resulted in unequal interval observation data. The unequal interval observation data is a common phenomenon data, the difference on both sides of the fault is observed by geological investigation, historical record, artificial observation, simulated record, digital sampling, encrypted observation before and after the event, change of observation equipment, change of observation environment, human factors, etc, and the unequal interval observation data is obtained. The characteristics of the unequal interval observation data is not only shown in time, but also in space. The unequal interval observation data is usually preprocessed into equal interval data by some kind of algorithm chosen before the subsequent complex calculation. In the data processing of cross-fault measurement, the unequal interval observation data is usually preprocessed into equal interval data, and then calculated, which leads to a series of new problems, such as time calculation, synchronization, master-slave relationship, comparability and so on. In view of unequal interval observation data in cross-fault measurement, some new problems are tried to solve in unequal interval data matching calculation by using conventional methods combined with some algorithm requirements, data characteristics and practical experience, and their adaptability in various algorithms is investigated in this paper. These works contribute to the improvement and development of cross-fault survey data processing methods, and enhance the role of cross-fault survey data in earthquake protection and disaster reduction.
    VL  - 11
    IS  - 2
    ER  - 

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Author Information
  • Beijing Earthquake Agency, Beijing, China

  • National Earthquake Response Support Service, Beijing, China

  • National Earthquake Response Support Service, Beijing, China

  • Beijing Earthquake Agency, Beijing, China

  • Beijing Earthquake Agency, Beijing, China

  • National Earthquake Response Support Service, Beijing, China

  • Beijing Earthquake Agency, Beijing, China

  • Beijing Earthquake Agency, Beijing, China

  • Beijing Earthquake Agency, Beijing, China

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