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《地震研究》[ISSN:1000-0666/CN:53-1062/P]

卷:

期数:

2025年03期

页码:

450-459

栏目:

出版日期:

2025-04-15

文章信息/Info

Title:

Design and Application of the Analysis and Forecast System for Global M 7 Earthquakes Based on Python

作者:

马亚伟; 孟令媛; 臧阳; 韩颜颜; 姜祥华; 王月; 解孟雨; 杨志高

(中国地震台网中心,北京 100045)

Author(s):

MA Yawei; MENG Lingyuan; ZANG Yang; HAN Yanyan; JIANG Xianghua; WANG Yue; XIE Mengyu; YANG Zhigao

(China Earthquake Networks Center,Beijing 100045,China)

关键词:

网络爬虫;  7级以上大震;  地震应急;  震后趋势研判

Keywords:

web crawler;  global earthquakes with M≥7.0;  earthquake emergency response;  post-earthquake analysis and forecast

分类号:

P315-39

DOI:

10.20015/j.cnki.ISSN1000-0666.2025.0047

摘要:

为提高全球7级以上地震的震后应急效率,设计并实现了一套基于Python的全球7级大震趋势研判系统。针对不同机构对同一地震测定的地震信息存在差异的问题,如震级标度不一致、定位存在差异等,通过统计历史地震提出了利用“时间差小于10 s且定位误差小于2°即可确定为同一地震”的规则对相同地震进行匹配的规则; 在上述规则下,利用Python爬虫技术获取地震目录及震源机制解等数据; 利用PyGMT实现了地震分布等各类图件的自动绘制; 最后实现了震后趋势研判PPT文档的自动产出。实际应用表明,该系统可以快速产出全球7级以上地震分布、历史地震、地质构造、震源机制解及其与大陆强震的统计关系等震后趋势研判资料,平均运行时间在1分钟内,显著提高全球7级以上大震的震后应急效率。

Abstract:

In order to improve the efficiency of post-earthquake emergency response to global earthquakes(M≥7.0),we design a system for post-earthquake trend analysis of global earthquakes(M≥7.0)based on Python,to quickly produce earthquake related materials.For the same earthquake,different seismic institutions usually give different magnitudes on different scales,and locations are normally different too.To solve this problem,we do the statistical analysis of the historical earthquakes,then propose a rule to determine whether the earthquakes are the same one earthquake,that is,whether the difference of the original time is less than 10 seconds and the positioning error is less than 2 degrees(in radians).According to this rule,we use the crawler technique to obtain earthquake catalogues,focal mechanisms,etc.The system is able to automatically draw the distribution map of the earthquakes through PyGMT module,and output reports on the post-earthquake analysis and forecast in PowerPoint format.The practical application shows that this system could produce post-earthquake trend analysis data,including the distribution of global earthquakes with M 7 or above,historical earthquakes,geological structures,focal mechanism solutions,and statistical relationships with strong earthquakes in the Chinese Mainland,the average running time of the system is within 1 minute which can significantly improve the earthquake emergency response efficiency of global earthquakes with M 7 or above.

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备注/Memo

备注/Memo:

收稿日期:2024-09-09.
基金项目:中国地震台网中心青年科技基金(QNJJ-202306); 中国地震局震情跟踪定向任务(2024010117); 中国地震局“震后趋势研判创新团队”.
第一作者简介:马亚伟(1990-),工程师,主要从事地震活动性研究.E-mail:yawei_m@seis.ac.cn.

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更新日期/Last Update: 2025-04-15