摘要
随着信息技术的高速发展,已经进入了大数据时代。除了传统的地震观测数据以外,各种新型移动互联网平台的出现,积累了大量来自于社会群体的震情反馈数据,为开展智能化防震减灾工作提供了全新的机遇。与此同时,诸如数据挖掘、机器学习等大数据技术也为高效地处理地震学相关数据、开发新型防震减灾应用技术提供了支撑。基于以上背景,整理了近年来发表在国际顶级刊物和会议上的,基于大数据技术的若干防震减灾相关前沿成果,并结合实时地震监测、应急管理及震后舆情监控等3个主要应用领域进行了较为系统的总结与讨论。最后,对大数据技术在防震减灾领域的其他潜在应用进行了展望与讨论。
With the rapid development of information technology,recent years have witnessed the arrival of the era of big data.As a result,massive user data of earthquake feedback from the emerging mobile internet platforms have been accumulated which enable a new paradigm for intelligent applications of Earthquake Prevention and Disaster Reduction（EPDR）.Meanwhile,big data related technologies,such as data mining and machine learning,also provide solid support for the development of related research applications.Based on the above,this paper aims to summarize the recent research advances of EPDR with big data technologies,from the world-famous top-tier journals and conference proceedings.Specifically,the writer introduces and discusses related literature in detail by grouping them into three categories,namely real-time earthquake monitoring,emergency management,and social-opinion monitoring after earthquake.Finally,this paper concludes and discusses the other potential big data applications for EPDR in the future.
出处
《内陆地震》
2016年第2期122-129,共8页
Inland Earthquake
关键词
大数据
地震监测
应急管理
震后舆情监控
数据挖掘
Big data
Real-time earthquake monitoring
Emergency management
Socialopinion monitoring
Data mining
