Application of two Bayesian probability algorithms to the estimation of earthquake parameters
-
-
![]()
图 1 研究区的实际震源(a)与理论震源(b)的分布特征
Figure 1. Distribution of actual epicenters (a) and the theoretical epicenters (b) in the studied area
![]()
图 2 先验概率、似然概率和贝叶斯概率的计算值比较
Figure 2. Comparison of the calculated values of the prior probability (squares), likelihood probability (circles) and Beyesian probability (triangles)
-
Amighpey M, Voosoghi B, Motagh M. 2014. Deformation and fault parameters of the 2005 Qeshe earthquake in Iran revisited: A Bayesian simulated annealing approach applied to the inversion of space geodetic data[J]. Int J Appl Earth Observ Geoinf, 26 (1): 184-192. https://www.researchgate.net/publication/259125136_Deformation_and_fault_parameters_of_the_2005_Qeshm_earthquake_in_Iran_revisited_A_Bayesian_simulated_annealing_approach_applied_to_the_inversion_of_space_geodetic_data
Ang A H S, Tang W H. 2007. Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering[M]. New York: John Wiley & Sons: 1-420.
Cheng C T, Chiou S J, Lee C T, Tsai Y B. 2007. Study on probabilistic seismic hazard maps of Taiwan after Chi-Chi earthquake[J]. J Geo Eng, 2 (1): 19-28. https://www.researchgate.net/publication/228637532_Study_on_probabilistic_seismic_hazard_maps_of_Taiwan_after_Chi-Chi_earthquake
Frankel A. 1995. Mapping seismic hazard in the central and eastern United States[J]. Seismol Res Lett, 66 (4): 8-21. doi: 10.1785/gssrl.66.4.8
Kaklamanos J, Baise L G, Boore D M. 2011. Estimating unknown input parameters when implementing the NGA ground-motion prediction equations in engineering practice[J]. Earthq Spectra, 27 (4): 1219-1235. doi: 10.1193/1.3650372
Khakzad N, Khan F, Amyotte P. 2013. Quantitative risk analysis of offshore drilling operations: A Bayesian approach[J]. Safety Sci, 57 : 108-117. doi: 10.1016/j.ssci.2013.01.022
Koutsourelakis P S. 2010. Assessing structural vulnerability against earthquakes using multidimensional fragility surfaces: A Bayesian framework[J]. Prob Eng Mech, 25 (1): 49-60. doi: 10.1016/j.probengmech.2009.05.005
Kramer S L. 1996. Geotechnical Earthquake Engineering[M].Upper Saddle River, NJ: Prentice Hall: 1-653.
Patil A, Deng Z Q. 2011. Bayesian approach to estimating margin of safety for total maximum daily load development[J]. J Environ Manage, 92 (3): 910-918. doi: 10.1016/j.jenvman.2010.10.049
Song Y Q, Gong J H, Gao S, Wang D C, Cui T J, Li Y, Wei B Q. 2012. Susceptibility assessment of earthquake-induced landslides using Bayesian network: A case study in Beichuan, China[J]. Comp Geosci, 42 (5): 189-199. http://www.docin.com/p-1386977449.html
Vu D, Xue M, Tan X, Li J. 2013. A Bayesian approach to SAR imaging[J]. Dig Signal Proc, 23 (3): 852-858. doi: 10.1016/j.dsp.2012.10.009
Wang J P, Huang D, Cheng C T, Shao K S, Wu Y C, Chang C W. 2013. Seismic hazard analysis for Taipei City including deaggregation, design spectra, and time history with Excel applications[J]. Comp Geosci, 52 (1): 146-154.
Zhang L M, Li D Q, Tang W H. 2006. Impact of routine quality assurance on reliability of bored piles[J]. J Geotechn Geoenviron Eng, 132 (5): 622-630. doi: 10.1061/(ASCE)1090-0241(2006)132:5(622)
-
期刊类型引用(6)
1. Feng Li，Peng Zhai，Jinshui Huang，Hongbo Tan. Influences of the heterogeneity of viscoelastic medium on postseismic deformation of the 2008 M_W7.9 Wenchuan earthquake. Geodesy and Geodynamics. 2022(01): 1-10 . 
必应学术
2. 姚文举，唐红涛. 利用GPS数据分析四川“Y”型构造区地壳运动状态. 地震地磁观测与研究. 2021(04): 57-66 . 百度学术
3. 贺克锋，赵斌，杜瑞林. 利用长期GPS数据研究2008年汶川地震震后形变. 大地测量与地球动力学. 2019(02): 122-126 . 百度学术
4. 赵静，李皎皎. 对大陆逆冲型地震的一点认识——以汶川地震为例. 大地测量与地球动力学. 2016(01): 62-65 . 百度学术
5. 朱良玉，王庆良，蒋锋云，郑申宝. 非构造形变对区域网GPS垂直形变的影响. 测绘科学. 2014(09): 49-53 . 百度学术
6. 朱良玉，王双绪，蒋锋云. 利用震后GPS数据反演汶川地区有效黏滞系数. 地震学报. 2014(01): 32-41+158 . 本站查看
其他类型引用(1)
下载:
计量
- 文章访问数: 623
- HTML全文浏览量: 325
- PDF下载量: 24
- 被引次数: 7
