|本期目录/Table of Contents|

[1]马 永,毕金孟,宋 程,等.利用混合概率预测模型分析华北地区地震活动特征[J].地震研究,2021,44(04):572-582.
 MA Yong,BI Jinmeng,SONG Cheng,et al.Analysis of the Seismicity in North China Using Hybrid Probability Forecasting Model[J].Journal of Seismological Research,2021,44(04):572-582.
点击复制

利用混合概率预测模型分析华北地区地震活动特征(PDF/HTML)

《地震研究》[ISSN:1000-0666/CN:53-1062/P]

卷:
44
期数:
2021年04期
页码:
572-582
栏目:
出版日期:
2021-11-10

文章信息/Info

Title:
Analysis of the Seismicity in North China Using Hybrid Probability Forecasting Model
作者:
马 永毕金孟宋 程尚先旗
(天津市地震局,天津 300201)
Author(s):
MA YongBI JinmengSONG ChengSHANG Xianqi
(Tianjin Earthquake Agency,Tianjin 300201,China)
关键词:
地震概率预测模型 效能评价 地震活动特征 华北地区
Keywords:
probability forecasting model effectiveness evaluation characteristics of earthquake activity North China
分类号:
P315.7
DOI:
-
摘要:
在可操作的地震预测研究过程中,构建效能可评价、符合区域地震活动特点的预测模型是至关重要的。以地震活动频发、地质结构复杂的华北地区为研究对象,选择相对强度模型、力矩比模型和简单平滑模型等3种地震概率预测模型,利用1970—2019年华北地区3.0级以上地震数据,以10 a为异常学习时段,以1 a为步长,分别开展1 a、3 a和5 a尺度下5.0级以上地震的回溯性滑动预测研究。通过Molchan图表法和T-test检验方法,对预测模型进行效能评估,优化了模型参数,确定了3种预测模型的最佳计算参数,构建了适合华北地区地震活动特点的不同时间尺度混合概率预测模型,并使用近10 a的地震分析了华北地区当前的地震活动特征。
Abstract:
For the “Operational Earthquake Forecasting”(OEF),it is critical to build a predictive model that conforms to the regional seismicity and whose effectiveness can be evaluated.In this paper,we select the M≥5.0 earthquake data from 1970 to 2019 in North China with complex geological structure and intensive earthquake activity,use the relative intensity(RI)model,the moment ratio(MR)model and the simple smoothing(Triple-S)model,carry out a retrospective sliding prediction of the historical M>5.0 earthquakes,during which we set the “learning period of earthquake anomalies ” as 10 years,step length as 1 year,and the scale of the retrospective cycle as 1,3 and 5 years.Then we use the Molchan Diagram method and the T-test method to evaluate the efficacy of the prediction model.We determined the best calculation parameters of the three prediction models by optimization,and constructed a “hybrid” of probability forecasting models on different time scales which is suitable for analyzing the characteristics of earthquake activity in North China.Then we apply the latest 10-year earthquake data to our model for the analysis of the current characteristics of earthquake activity in North China.

参考文献/References:

毕金孟,蒋长胜.2017.可操作的地震预测(OEF)国际研究动态综述[J].中国地震,33(1):1-13.
毕金孟,蒋长胜.2019.华北地区地震序列参数的分布特征[J].地球物理学报,62(11):4300-4312.
毕金孟.2017.区域地震预测策略和预测效能评价技术研究[D].北京:中国地震局地球物理研究所.
蒋长胜,张浪平,韩立波,等.2011.中长期地震危险性概率预测中的统计检验方法I:Molchan 图表法[J].地震,31(2):106-113.
李三忠,张国伟,周立宏,等.2011.中、新生代超级汇聚背景下的陆内差异变形:华北伸展裂解和华南挤压逆冲[J].地学前缘,18(3):79-107.
刘瑞丰,蔡晋安,彭克银,等.2007.地震科学数据共享工程[J].地震,27(2):9-16.
刘瑞丰,高景春,陈运泰,等.2008.中国数字地震台网的建设与发展[J].地震学报,30(5):533-539.
马干,史保平,凌华刚.2009.华北地区地震危险性分析和地面运动预测的一致性方法[J].中国地震,25(3):303-313.
韶丹,贾宁,王莹.2015.陕西地区地震目录完整性分析[J].地震地磁观测与研究,36(4):30-35.
王鹏,郑建常,赵金花,等.2011.山东地区最小完整性震级的确定——R-S 检验[J].华北地震科学,29(3):19-22.
王霞,宋美琴,李丽,等.2014.山西地区不同时段地震目录最小完整性震级研究[J].地震,34(2):82-88.
谢卓娟,吕悦军,方怡,等.2019.京津冀地区的地震活动性研究[J].地球物理学进展,34(3):961-968.
Field E H,Arrowsmith R J,Biasi G P,et al.2014.Uniform California earthquake rupture forecast,Version3(UCERF3)—The time-independent model[J].Bulletin of the Seismological Society of America,104(3):1122-1180.
Frankel A.1995.Mapping seismic hazard in the central and eastern United States[J].Seismological Research Letters,66:8-21.
Jordan T H,Chen Y T,Gasparini P,et al.2011.Operational earthquake forecasting:State of knowledge and guidelines for implementation[J].Ann Geophys,54(4):315-391.
Jordan T H,Marzocchi W,Michael A J,et al.2014.Operational earthquake forecasting can enhance earthquake preparedness[J].Seismological Research Letters.85(5):955-959.
Marzocchi W,Jordan T H.2014.Testing for ontological errors in probabilistic forecasting models of natural systems[J].Proceedings of the National Academy of Sciences of the United States of America,111(3):11973-11978.
Molchan G M.1997.Earthquake prediction as a decision-making problem[J].Pure and Applied Geophysics,149(1):233-247.
Molchan G M.2010.Space-time earthquake prediction:the error diagrams[J].Pure and Applied Geophysics,167(8-9):907-917.
Nanjo K Z.2010.Earthquake forecast models for Italy based on the RI algorithm[J].Annals of Geophysics,53(3):117-127.
Nanjo K Z.2011.Earthquake forecasts for the CSEP Japan experiment based on the RI algorithm[J].Earth,Planets and Space,63(3):261-274.
Rhoades D A,Gerstenberger M C.2009.Mixture models for improved short-term earthquake forecasting[J].Bulletin of the Seismological Society of America,99(2A):636-646.
Talbi A,Nanjo K,Zhuang J,et al.2013.Interevent times in a new alarm-based earthquake forecasting model[J].Geophysical Journal International,194:1823-1835.
Tiampo K F,Rundle J B,Mcginnis S,et al.2002.Mean field threshold systems and phase dynamics:an application to earthquake fault systems[J].Europhysics Letters,60(3):481-487.
Zechar J D,Jordan T H.2010.Simple smoothed seismicity earthquake forecasts for Italy[J].Annals of Geophysics,53(3):99-105.

备注/Memo

备注/Memo:
收稿日期:2020-12-23
基金项目:中国地震局2020年度震情跟踪定向工作任务(2020010509,2021010128)和天津市地震局局内科研项目(Zd202101,Yb202101)联合资助.

更新日期/Last Update: 2021-11-10