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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 黃俊郎 | |
dc.contributor.author | Hsin-Yu Lee | en |
dc.contributor.author | 李欣宇 | zh_TW |
dc.date.accessioned | 2021-06-16T03:58:37Z | - |
dc.date.available | 2020-02-04 | |
dc.date.copyright | 2015-02-04 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-11-27 | |
dc.identifier.citation | [1] Wu, Y. M., Shin, T. C., Chen, C. C., Tsai, Y. B., Lee, W. H., & Teng, T. L. (1997). Taiwan Rapid Earthquake Information Release System. Seismological Research Letters, 68(6), 931-943.
[2] Wu, Y. M., Shin, T. C., & Tsai, Y. B. (1998). Quick and Reliable Determination of Magnitude for Seismic Early Warning. Bulletin of the Seismological Society of America, 88(5), 1254-1259. [3] Wu, Y. M., Chang, C. H., Zhao, L., Teng, T. L., & Nakamura, M. (2008). A Comprehensive Relocation of Earthquakes in Taiwan from 1991 to 2005. Bulletin of the Seismological Society of America, 98(3), 1471-1481. [4] Hsiao, N. C., Wu, Y. M., Shin, T. C., Zhao, L., & Teng, T. L. (2009). Development of Earthquake Early Warning System in Taiwan. Geophysical research letters, 36(5). [5] Wu, Y. M., Chen, D. Y., Lin, T. L., Hsieh, C. Y., Chin, T. L., Chang, W. Y., ... & Ker, S. H. (2013). A High-Density Seismic Network for Earthquake Early Warning in Taiwan Based on Low Cost Sensors. Seismological Research Letters, 84(6), 1048-1054. [6] Lee, W.H.K. and Lahr, J.C. (1975). HYPO71 (revised): A computer program for determining hypocenter, magnitude and first motion pattern of local earthquakes, U.S. Geological Survey Open-File Report 75-311, 116p. [7] Geiger, L. (1912). Probability Method for the Determination of Earthquake Epicenters from the Arrival Time Only, Bull. St. Louis Univ. 8, 60-71. [8] Chen, Y. L., & Shin, T. C. (1998). Study on the Earthquake Location of 3-D velocity Structure in the Taiwan Area. Meteor. Bull, 42, 135-169. [9] Ge, M. (2003). Analysis of Source Location Algorithms: Part I. Overview and Non-iterative methods. Journal of Acoustic Emission, 21, 14-28. [10] Ge, M. (2003). Analysis of Source Location Algorithms: Part II. Iterative Methods. Journal of Acoustic Emission, 21, 29-51. [11] Ge, M. (2005). Efficient Mine Microseismic Monitoring. International Journal of Coal Geology, 64(1), 44-56. [12] Lomax, A., A. Curtis (2001). Fast, Probabilistic Earthquake Location in 3D Models Using Oct-tree Importance Sampling, European Geophysical Society, March 2001, Nice. [13] Satriano, C., Lomax, A., & Zollo, A. (2008). Real-time Evolutionary Earthquake Location for Seismic Early Warning. Bulletin of the Seismological Society of America, 98(3), 1482-1494. [14] Lomax, A., A. Michelini, A. Curtis (2009). Earthquake Location, Direct, Global-Search Methods, in Encyclopedia of Complexity and System Science, Part 5, Meyers, R. A. (ed.), Springer, New York, 2449-2473. [15] Lomax, A., J. Virieux, P. Volant and C. Berge (2000). Probabilistic Earthquake Location in 3D and Layered Models: Introduction of a Metropolis-Gibbs Method and Comparison with Linear Locations, in Advances in Seismic Event Location Thurber, C.H., and N. Rabinowitz (eds.), Kluwer, Amsterdam, 101-134.. [16] Font, Y., Kao, H., Lallemand, S., Liu, C.-S., Chiao, L.-Y. (2004). Hypocentral Determination Offshore Eastern Taiwan using the Maximum Intersection method. Geophys. J. Int., 158, 655-675 [17] Coppens F., (1985). First Arrival Picking on Common-offset Trace Collections for Automatic Estimation of Static Corrections. Geophysical Prospecting, 33, 1212-1231 [18] Wong J., Han L., Bancroft J.C., Stewart R.R., (2009). Automatic Time-picking of First Arrivals on Noisy Microseismic Data. CSEG. 0 0.2 0.4 0.6 0.8, 1(1.2), 1-4. [19] LI, J., & QI, G. (2006). A Variable Velocity Approach to Locate Fatigue-induced Microcracks Occurred in Structures with Multiple Material Layers. Journal of Acoustic Emission, 24, 1. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/55364 | - |
dc.description.abstract | 地震預警系統需要迅速的定位出發震位置來提供有效且即時性的警報來降低地震造成的傷害與損失。被廣泛應用之分層速度模型雖方便執行,卻難以精準描繪地震波實際傳導之情形,進而影響地震定位之準確度。
許多相關研究致力於加速地震定位之過程,提高定位之準確度,以及更精地去模擬地震波的傳遞過程。卻少有研究哲著墨於地震歷史資料之應用。 本文提出一個利用直接搜尋法的自我校正定位系統。該系統可根據測站的歷史資料校正其震波到達時間。校正系統對地震波在傳遞的過程中所經歷的系統性誤差建立模型,並根據歷史紀錄對於P波到達時間進行校時。為了進一步提高校正之精準度,本文提出了一個測站篩選流程,濾除不穩定之測站來提高定位的品質。本文所提出的校正系統會隨著其所參與的地震事件而演進,增加其校正之穩定性。 實驗結果指出,單純透過測站篩選可提高定位之準確度。P波到時之校正因需考慮面相較多而表現並不穩定。在部分結果中校正P波到達時間可大幅提高定位準確度,反之在其他結果中,卻有出現準確度降低之影響。 | zh_TW |
dc.description.abstract | An earthquake early warning system has to rapidly detect the onset of an earthquake to reduce the damages done by the quake. However, the accuracy of earthquake location is often limited by the simplicity of the velocity model.
Numerous researches have been done to shorten the computing times of hypocenter searching processes, raise prediction accuracy, and better simulate seismic wave propagation. However, few have utilized historical event data in practice. This thesis proposed an earthquake locator that calibrates station trigger times based on their historical behavior. The systematic uncertainties in seismic wave propagation are modeled in the form of trigger offsets. P wave arrival times are adjusted according to the offset obtained from historical records. A station selection method was introduced to further increase calibration accuracy. The proposed calibration scheme would develop with its experience to earthquake events, increasing the stability of its calibration accuracy. Experiment results indicate a constant improvement in predication accuracy when the station selection technique is solely applied. The effect of offset cancelling is not stable, it has proven to be effective in certain cases, but deteriorates prediction accuracy in others. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T03:58:37Z (GMT). No. of bitstreams: 1 ntu-103-R01943139-1.pdf: 2881585 bytes, checksum: 13ef56cb1a541b12668ee53a0db04e9d (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | 口試委員會審定書 i
誌謝 ii 摘要 iii Abstract iv Table of Contents v List of Charts and Tables vii List of Figures viii Chapter 1: Introduction 1 1.1 Motivation 1 1.1.1 Geiger’s Method 2 1.1.2 Velocity Model 2 1.2 Related Research 2 1.2.1 High Density Seismic Network 2 1.2.2 Earthquake Locating Methods 3 1.3 Proposed Techniques 4 1.3.1 Calibration Mechanism 4 1.3.2 Methods of Choice 5 Chapter 2: Preliminaries 6 2.1 Travel Time Table Construction 6 2.1.1 Applied Velocity Model 6 2.1.2 Huygens’ Wave-front Method 7 2.2 P Wave Trigger Condition 8 2.2.1 STA/LTA Ratio Method 9 2.2.2 Variable Definitions 9 2.3 Locating Scheme 10 2.3.1 Equal Differential Time Likelihood Function 11 2.3.2 Oct-tree Importance Sampling 12 Chapter 3: Self-Calibrating Locator 15 3.1 System Overview 15 3.1.1 False Alarm Removal 16 3.1.2 Residual 17 3.1.3 μ and σ Computation 18 3.2 Offset Cancelling 20 3.3 Station Selection 21 3.3.1 Interquartile Range 24 Chapter 4: Experiments 25 4.1 Experimental Setups 25 4.2 Experimental Results 26 Chapter 5: Conclusions 34 5.1 Thesis Summary 34 5.2 Future Work 34 Chapter 6: Reference 36 | |
dc.language.iso | en | |
dc.title | 自我校正之地震定位系統 | zh_TW |
dc.title | A Self-Calibrating Earthquake Locator | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 吳逸民,金台齡,黃炫倫 | |
dc.subject.keyword | 地震預警,地震定位,資料校正, | zh_TW |
dc.subject.keyword | Earthquake early warning,Earthquake location,Data calibration, | en |
dc.relation.page | 38 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2014-11-27 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電子工程學研究所 | zh_TW |
顯示於系所單位: | 電子工程學研究所 |
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