TITLE:
SeisGuard: A Software Platform to Establish Automatically an Earthquake Forecasting Model
AUTHORS:
Xiliang Liu, Yajing Gao, Mei Li
KEYWORDS:
SeisGuard Platform, Geophysical Observing Data, Electromagnetic Emission, Time Series Database, Spatiotemporal Fusion, Earthquake Forecasting Model
JOURNAL NAME:
Open Journal of Earthquake Research,
Vol.12 No.4,
November
16,
2023
ABSTRACT: 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.