A Bayesian Merging of Earthquake Magnitudes Determined by Multiple Seismic Networks

被引：1
作者：
Si, Zhengya [1 ,3 ]
Zhuang, Jiancang [2 ]
Gentili, Stefania [4 ]
Jiang, Changsheng [1 ]
Wang, Weitan [1 ]
机构：
[1] China Earthquake Adm, Inst Geophys, Beijing, Peoples R China
[2] Inst Stat Math, Tokyo, Japan
[3] Beijing Earthquake Agcy, Beijing, Peoples R China
[4] Natl Inst Oceanog & Appl Geophys OGS, Udine, Italy
来源：
SEISMOLOGICAL RESEARCH LETTERS | 2024年 / 95卷 / 06期
关键词：
HAZARD ASSESSMENT; UNIFIED CATALOG; NORTHERN; REGION; ALGORITHM; SURFACE;
D O I：
10.1785/0220230404
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
We introduce a Bayesian algorithm designed to integrate earthquake magnitudes ofthe same type reported by various seismic networks, aiming to create unified and stand-ardized catalogs suitable for widespread use. The fundamental concept underpinningthis algorithm is the utilization of the inherent consistency within each individual net-work's magnitude determination process. Assuming that the magnitudes for an earth-quake measured by all networks conform to a Gaussian distribution, with a linearfunction of the unknown true magnitude serving as its mean, we derive the posteriorprobability distribution of the true magnitude under four different assumptions for theprior distribution: the uninformative uniform distribution, the unbounded Gutenberg-Richter (GR) magnitude-frequency law, the GR magnitude-frequency relationshiprestricted by the detection rate, and the truncated GR law as priors. We assess therobustness of the method by a test on several synthetic catalogs and then use it tomerge the catalogs compiled by five seismic networks in Italy. The results demonstratethat our proposed magnitude-merging algorithm effectively combines the catalogs,resulting in robust and unified data sets that are suitable for seismic hazard assessmentand seismicity analysis.
引用
收藏
页码：3221 / 3233
页数：13
相关论文
共 54 条
  • [1] Al-Heety E. A. M. S., A complete and homogeneous magnitude earthquake catalogue of Iraq, Arab. J. Geosci, 7, pp. 4727-4732, (2014)
  • [2] Ambraseys N., Douglas J., Reappraisal of surface wave magnitudes in the eastern Mediterranean region and the middle east, Geophys. J. Int, 141, 2, pp. 357-373, (2000)
  • [3] Baba B., Papadimitriou E., Papazachos C., Papaioannou C., Karakostas V., Unified local magnitude scale for earthquakes of south Balkan area, Pure Appl. Geophys, 157, pp. 765-783, (2000)
  • [4] Babiker N., Mula A. H. G., el_hadidy S., A unified mwbased earthquake catalogue and seismic source zones for the red sea region, J. Afr. Earth Sci, 109, pp. 168-176, (2015)
  • [5] Bagagli M., Molinari I., Diehl T., Kissling E., Giardini D., The alparray research seismicity-catalogue, Geophys. J. Int, 231, 2, pp. 921-943, (2022)
  • [6] Bayona J., Suarez G., Ordaz M., A probabilistic seismic hazard assessment of the trans-Mexican volcanic belt, Mexico based on historical and instrumentally recorded seismicity, Geofis. Int, 56, 4, pp. 87-101, (2017)
  • [7] Beauval C., Yepes H., Palacios P., Segovia M., Alvarado A., Font Y., Aguilar J., Troncoso L., Vaca S., An earthquake catalog for seismic hazard assessment in Ecuador, Bull. Seismol. Soc. Am, 103, 2A, pp. 773-786, (2013)
  • [8] Braclawska A., Idziak A. F., Unification of data from various seismic catalogues to study seismic activity in the Carpathians mountain arc, Open Geosci, 11, 1, pp. 837-842, (2019)
  • [9] Broyden C. G., The convergence of a class of double-rank minimization algorithms, J. Inst. Math. Appl, 6, pp. 76-90, (1970)
  • [10] Filippucci M., Miccolis S., Castagnozzi A., Cecere G., de Lorenzo S., Donvito G., Falco L., Michele M., Nicotri S., Romeo A., Et al., Seismicity of the Gargano promontory (southern Italy) after 7 years of local seismic network operation: Data release of waveforms from 2013 to 2018, Data Brief, 35, (2021)
123456