多源地震数据的近实时集成
José Melgarejo-Hernández1, Paula García-Tapia-Mateo1, Juan Morales-García1
1Department of Software and Computing Systems, Universidad de Alicante (UA), 03690 Alicante, Spain.
Sensors (Basel, Switzerland)
|January 28, 2026
概括
本研究介绍了一种自动化框架,用于整合来自不同来源的全球地震数据,克服格式和访问挑战. 该系统确保可靠,近乎实时的地震目录构建,以改善危险评估和研究.
科学领域:
- 地质学和地球科学 地球物理学和地球科学
- 数据科学和信息学数据科学和信息学
- 地震学和地震科学 地震学和地震科学
背景情况:
- 来自USGS,EMSC和IGN等供应商的地震数据的异质性阻碍了实时监测和危险评估.
- 数据格式,更新频率和访问方法的差异为统一的地震数据采集带来了重大挑战.
- 需要一个标准化,自动化解决方案,以整合全球地震信息,以改善地震研究.
研究的目的:
- 提出一个模块化和自动化的框架,用于计划,近乎实时的全球地震数据的摄入.
- 克服异质数据源所带来的局限性,使用开放的API和半结构化的网络数据.
- 确保数据符合FAIR原则,以提高可访问性和互操作性.
主要方法:
- 开发了一个基于Docker的架构,用于自动检索,协调和存储数据.
- 使用基于cron的调度器,定期从异质来源获取数据.
- 将数据标准化为统一的模式,对重复进行验证,并存储在关系数据库中.
主要成果:
- 该系统在为期七天的部署期间,在所有来源中展示了100%的可用性.
- 成功整合了4533个新的地震事件,并确定了595个重复检测.
- 保持稳定的运行,证明了框架对于多源地震目录集成的稳定性.
结论:
- 拟议的框架为自动集成多源地震目录提供了坚实的基础.
- 能够构建更全面和全球可访问的地震数据集.
- 支持在全球范围内加强数据驱动的研究和情势意识,用于地震监测和危险评估.
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