期刊文献+

基于Python开发的地震余震序列统计程序

Developing a Statistical Program for Earthquake Aftershock Sequence Based on Python
下载PDF
导出
摘要 我国是世界上地震活动最严重的国家之一。地震活动频次高、强度大、灾害重、影响广,2008年汶川地震给人民群众生命财产造成严重损失,给整个国家的经济社会发展造成深远影响。汶川地震后,中国地震局深刻总结与反思,要求地震行业提高为社会各界提供地震专业信息服务的能力。余震序列作为震后紧急会商的重要资料,其统计的时效性要求也相应提高。近年来,Python语言在数据库处理、数据统计处理、程序开发方面已成为新的趋势。余震序列统计程序基于Python语言开发,利用该程序,对地震编目数据库数据进行筛选、导出、整理,并产出符合上报要求的Word文档,实现对地震余震序列的即时产出。利用该程序进行余震统计,可极大地减轻地震一线工作人员工作量,为科研人员判断地震趋势和政府部门制定救援方案提供更加及时准确的数据,有效助力开展地震应急救援工作。 China is one of the most seismically active countries in the world.Seismic activity has high frequency,high intensity,serious disasters and wide impact.The 2008 Wenchuan earthquake caused serious losses to people's lives and property,and had a far-reaching impact on the economic and social development of the whole country.After Wenchuan Earthquake,the China Earthquake Administration made a profound summary and reflection,requiring the earthquake industry to improve its ability to provide professional earthquake information services for all sectors of the community.Aftershock sequence as an important data for emergency consultation after the earthquake,the timeliness requirement of aftershock sequence statistics is also improved accordingly.In recent years,Python language has become a new trend in database processing,data statistical processing and program development.The statistical program of aftershock sequence is developed based on Python language.Using this program,the data of earthquake cataloging database are screened,exported and sorted out,and the Word documents that meet the reporting requirements are produced,and the immediate output of earthquake aftershock sequence is realized.Using this program for aftershock statistics can greatly reduce the workload of earthquake front-line workers,provide more timely and accurate data for researchers to judge earthquake trends and government departments to formulate rescue plans,and effectively assist the development of earthquake emergency rescue work.
作者 孟令升 刘爱华 张雁翔 马龙辰 徐建权 MENG Lingsheng;LIU Aihua;ZHANG Yanxiang
机构地区 黑龙江省地震局
出处 《科技创新与应用》 2024年第14期46-49,共4页 Technology Innovation and Application
基金 黑龙江省地震局局内科研项目(202311)。
关键词 PYTHON 余震统计 程序研发 地震余震序列 地震监测 Python aftershock statistics program development earthquake aftershock sequence earthquake monitoring
  • 相关文献

参考文献5

二级参考文献30

共引文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部