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), 2024. Published by Science Publishing Group |
Cross-Fault Deformation Measurement, Retest Period, Unequal Interval Data, Synchronization Domain, Comparability
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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
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
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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Download@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}
}
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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