Abstract
The article is developing an approach to creation of the automatic system for prediction of earthquakes. The technology of automatic prediction of earthquakes and its implementation in the form of a web-based GIS platform are considered. The platform represents any data on the stationary and dynamic properties of the seismic process in the form of spatial and spatio-temporal grid fields of features. This provides the possibility of joined processing of all available information. The forecast field is a function of the feature fields. A new machine learning method is proposed. The results on earthquake prediction method testing in the regions of the Mediterranean and Japan are presented.
The model and method of minimum area of alarm (Sect. 2) were developed with the financial support of the Russian Science Foundation, project No14-50-00150, development of technology and forecast platform, and testing (Sects. 3 and 4) were implemented with the financial support of the Russian Foundation for Basic Research, projects No17-07-00494 and No16-07-00326.
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Gitis, V.G., Derendyaev, A.B. (2018). Web-Based GIS Platform for Automatic Prediction of Earthquakes. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10962. Springer, Cham. https://doi.org/10.1007/978-3-319-95168-3_18
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DOI: https://doi.org/10.1007/978-3-319-95168-3_18
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