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Web-Based GIS Platform for Automatic Prediction of Earthquakes

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Computational Science and Its Applications – ICCSA 2018 (ICCSA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10962))

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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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Authors and Affiliations

  1. Institute for Information Transmission Problems RAS (Kharkevich Institute), Moscow, Russia

    Valeri G. Gitis & Alexander B. Derendyaev

Authors
  1. Valeri G. Gitis
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  2. Alexander B. Derendyaev
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Corresponding author

Correspondence to Alexander B. Derendyaev .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka shi, Fukuoka, Japan

    Bernady O. Apduhan

  9. Politecnico di Bari, Bari, Italy

    Eufemia Tarantino

  10. Myongji University, Yongin, Korea (Republic of)

    Yeonseung Ryu

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95167-6

  • Online ISBN: 978-3-319-95168-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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