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地震 ›› 2023, Vol. 43 ›› Issue (3): 159-177.doi: 10.12196/j.issn.1000-3274.2023.03.012

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基于图像信息方法的南北地震带地震预测研究

田唯熙, 张永仙   

  1. 中国地震局地震预测研究所, 北京 100036
  • 收稿日期:2022-09-20 修回日期:2023-01-17 出版日期:2023-07-31 发布日期:2023-08-28
  • 通讯作者: 张永仙, 研究员。 E-mail: yxzhseis@sina.com
  • 作者简介:田唯熙(1998-), 男, 湖北恩施人, 硕士研究生, 主要从事地震活动性研究。
  • 基金资助:
    国家重点研发计划项目(2018YFE0109700); 国家自然基金地震联合基金项目(U2039207); 中国地震局地震预测研究所基本科研业务费专项(CEAIEF2022030206)

Study on Earthquake Forecast in the North-South Seismic Belt by Pattern Informatics Method

TIAN Wei-xi, ZHANG Yong-xian   

  1. Institute of Earthquake Forecasting, CEA, Beijing 100036, China
  • Received:2022-09-20 Revised:2023-01-17 Online:2023-07-31 Published:2023-08-28

摘要: 图像信息法(PI)计算过程涉及到地震活动性的归一化, 因此针对地震活动性相似的地区PI预测效能较好。 以南北地震带为研究区域, 对图像信息法(PI)在南北地震带不同范围的预测效能进行了研究。 采用中国地震台网中心提供的1970年以来中国地震目录, 选取5年尺度的“异常学习窗”和“预测时间窗”以及1°×1°网格, 以2017年以来发生的MS≥6地震为目标, 通过ROC检验, 对地震进行回溯性预测研究。 研究结果显示: ① PI方法对南北地震带南段、 中段、 北段区域进行计算的预测效能呈现逐渐降低的趋势, 但幅度较小, 显示PI方法的预测效能可能受到区域内地震活动性强度的影响。 ② PI方法对南北地震带分段计算的预测效能优于对整个南北地震带进行计算的预测效能。 其中, 把南北地震带北、 中段合起来作为一个计算区域时预测效能最好, 南、 中、 北各段预测效果次之, 把中、 南段合起来作为一个计算区域时预测效能相对较低, 南北地震带整体的预测效能最低。 通过地震活动性对南北地震带进行区域划分能使得预测效能提高。 ③ 计算结果显示, 滇西南永德—泸水地区、 龙门山断裂南段附近存在“热点”, 未来5年内这些地区为MS≥6地震值得关注的重点区域。

关键词: 图像信息法(PI), 南北地震带, 强震预测, ROC检验

Abstract: We study the prediction efficiency of Pattern Informatics method (PI) in different areas of the North-South Seismic Belt in this paper. The earthquake catalogue since 1970 is taken from the China Earthquake Networks Center. Both the change interval and forecast interval are fixed as 5 years and the grid size is taken as 1°×1°. We have the retrospective forecasting for 6 earthquakes above MS6.0 in the study region since 2017. The forecasting efficiency of PI is tested by ROC (Receiver Operating Characteristic) method. The results show that: ① The prediction efficiency of the south, middle and north sections of the North-South Seismic Belt shows a trend of decreasing gradually, but the change is small. This indicates that the prediction performance of PI method is affected by the intensity of regional seismicity to a certain extent. ② The prediction efficiency of piecewise calculation for the North-South Seismic Belt is better than that of the whole calculation for the North-South Seismic Belt. In terms of prediction efficiency, the north and middle sections of the North-South Seismic Belt are the best, the south, middle and north sections are the second, the middle and south sections are relatively low, and the North-South Seismic Belt as a whole is the lowest. The analysis shows that the calculation process of PI method involves the normalization of seismicity, so PI prediction performance is better for areas with similar seismicity. Hot spots generated by PI in regions with different seismicity are mainly generated in areas with high seismicity and the prediction efficiency is low. Therefore, regional division of the North-South Seismic Belt by seismicity can improve the prediction efficiency. ③ There are persistent high probability “hot spots” in Yongde-Lushui area in southwest Yunnan and near the southern section of Longmenshan Fault. These areas should be concerned for earthquakes with MS≥6 in the next five years.

Key words: Pattern informatics methods, North-South seismic belt, Strong earthquake prediction, ROC test

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