SeisGuard: A Software Platform to Establish Automatically an Earthquake Forecasting Model
SeisGuard: A Software Platform to Establish Automatically an Earthquake Forecasting Model作者机构：Zhejiang Earthquake Agency Hangzhou China Institute of Earthquake Forecasting China Earthquake Administration Beijing China
出 版 物：《Open Journal of Earthquake Research》 (地震研究（英文）)
年 卷 期：2023年第12卷第4期
页 面：177-197页
学科分类：070801[理学-固体地球物理学] 07[理学] 0708[理学-地球物理学]
主 题：SeisGuard Platform Geophysical Observing Data Electromagnetic Emission Time Series Database Spatiotemporal Fusion Earthquake Forecasting Model
摘 要：SeisGuard, a system for analyzing earthquake precursory data, is a software platform to search for earthquake precursory information by processing geophysical data from different sources to establish automatically an earthquake forecasting model. The main function of this system is to analyze and process the deformation, fluid, electromagnetic and other geophysical field observing data from ground-based observation, as well as space-based observation. Combined station and earthquake distributions, geological structure and other information, this system can provide a basic software platform for earthquake forecasting research based on spatiotemporal fusion. The hierarchical station tree for data sifting and the interaction mode have been innovatively developed in this SeisGuard system to improve users’ working efficiency. The data storage framework designed according to the characteristics of different time series can unify the interfaces of different data sources, provide the support of data flow, simplify the management and usage of data, and provide foundation for analysis of big data. The final aim of this development is to establish an effective earthquake forecasting model combined all available information from ground-based observations to space-based observations.
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