Skip to main content

Early-Warning Landslide Monitoring System

  • Chapter
  • First Online:
Book cover Natural Hazards and Risk Research in Russia

Abstract

Analysis of seismological phone changes will give possibility to elaborate early-warning system. Sergeev Institute of Environmental Geoscience RAS (IEG RAS) has developed and delivered the “System monitoring acceleration induced on the upper part of the offshore oil and gas platforms” for deposits Lunskoye-A (LUN-A) and Piltun-Astokhskoye-B (PA-B) for Sakhalin-2 project. The system is intended to ensure the safety of the operation of these facilities.

Experience of the system creation was used for real-time early-warning landslide monitoring system construction. This system was successfully used for landslides monitoring of coastal slope of the river Yenisei.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ginzburg, A. A., Manukin, A. B., Mironov, O. K., & Novikova, A. V. (2009). The spatial and spectral characteristics caused by earthquakes and other effects of fluctuations in offshore oil and gas platforms. Geoecology, N5, 80–89.

    Google Scholar 

  2. Ginzburg, A. A., Itzko, A. S., Kondratenko, A. I., Manukin, A. B., Mironov, O. K., & Novikova, A. V. (2008). Simulation of different impacts on offshore oil and gas platforms for the detection of dangerous earthquakes systems. Questions Engineering Seismology, N2, 35, 5–13.

    Google Scholar 

  3. Nikolaev, A. V., Bashilov, I. P., Shou, K.-J., Svalova, V. B. Manukin, A. B., Zubko, Y. N., Behterev, S. V., Kazantseva, O. S., & Rebrov, V. I. (2011). Some directions of works on maintenance of geological safety of engineering constructions. In Proceedings of ENGEOPRO, Moscow, p. 7.

    Google Scholar 

  4. Postoev, G. P., & Svalova, V. B. (2005). Landslides risk reduction and monitoring for urban territories in Russia. In Proceedings of the first general assembly of ICL (International Consortium on Landslides), “Landslides: risk analysis and sustainable disaster management” (pp 297–303), Washington, DC: Springer.

    Google Scholar 

  5. Svalova, V. B. (2009). Mechanical-mathematical modeling for sedimentary movement and landslide processes. In CD proceedings of the international association for mathematical geosciences meeting (IAMG 2009), Stanford, p. 15.

    Google Scholar 

  6. Svalova, V. B. (2011). Mechanical-mathematical modeling and monitoring for landslide processes. Journal of Environmental Science and Engineering, 5(10), 1282–1287.

    Google Scholar 

  7. Svalova, V. (2011). Monitoring and modeling of landslide processes. Monitoring Science and Technology, 2(7), 19–27 (in Russian).

    Google Scholar 

  8. Svalova, V. B. (2011). Landslide process simulation and monitoring. In Proceedings of ENGEOPRO, Moscow, p. 7.

    Google Scholar 

  9. Svalova, V. B. (2012). Mechanical-mathematical modeling and monitoring for landslides. In Proceedings of IPL (International Program on Landslides) symposium (pp. 63–68). Paris: UNESCO.

    Google Scholar 

  10. Svalova, V. B. (2013). Risk reduction for landslide hazards. Modeling and monitoring. In Proceedings of The International Conference Natural risks: analysis, estimation, mapping (pp. 157–163), Moscow: MSU. (In Russian).

    Google Scholar 

  11. Svalova, V. B. (2014). Modeling and monitoring for landslide processes. In K. Linwood (Ed.), Chapter in book: Natural disasters – typhoons and landslides – risk prediction, crisis management and environmental impacts (pp. 177–198). New York: Nova Science Publishers.

    Google Scholar 

  12. Svalova, V. B. (2014). Mechanical-mathematical modeling and monitoring for landslide processes. In IPL 163 Project. Proceedings of the world landslide forum 3 (Vol. 4, pp. 24–27). Beijing.

    Google Scholar 

  13. Svalova, V. B. (2014). Modeling and monitoring for landslide processes: Case study of Moscow and Taiwan. In Proceedings of the world landslide forum 3 (Vol. 4, pp. 628–632). Beijing.

    Google Scholar 

  14. Svalova, V. B. (2015). Mechanical modeling and geophysical monitoring for landslide processes. In Proceedings of IAEG XII congress “Engineering geology for society and territory” Torino-2014 (Vol. 2, pp. 345–348), Italy: Springer.

    Google Scholar 

  15. Svalova, V. (2017). Landslide risk: Assessment, management and reduction (p. 253). New York: Nova Science Publishers.

    Google Scholar 

  16. Svalova, V., & Postoev, G. (2008). Landslide process activization on sites of cultural heritage in Moscow, Russia. In Proceedings of the first world landslide forum 2008, Tokyo, p. 4.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Valentina Svalova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Ginzburg, A., Svalova, V., Nikolaev, A., Manukin, A., Savosin, V. (2019). Early-Warning Landslide Monitoring System. In: Svalova, V. (eds) Natural Hazards and Risk Research in Russia. Innovation and Discovery in Russian Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-91833-4_5

Download citation

Publish with us

Policies and ethics