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TXT-tool 3.385-1.3: Landslide Occurrence Prediction in the Rječina River Valley as a Base for an Early Warning System

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Abstract

This paper presents deterministic 3D stability analyses using LS-Rapid software applied to the wider area of the Grohovo landslide on the north-eastern slope of the Rječina River Valley near the city of Rijeka, Croatia. Results of these analyses, in combination with results of existing monitoring data, are necessary for predicting future landslide behavior as a base for establishing an early warning system at the Grohovo landslide.

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References

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Acknowledgements

Equipment used in the study was obtained with financial support from the SATREPS [Science and Technology Research Partnership for Sustainable Development] program, financed by the Japan Science and Technology Agency and Japan International Cooperation Agency through the Project Risk Identification and Land-Use Planning for Disaster Mitigation of Landslides and Floods in Croatia. This support is gratefully acknowledged.

This work is an expanded version of the paper published and presented on the 1st Regional Symposium of Landslides in the Adriatic-Balkan Region and the 3rd Workshop of the Croatian-Japanese Project “Risk Identification and Land-Use Planning for Disaster Mitigation of Landslides and Floods in Croatia”.

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Authors and Affiliations

  1. Faculty of Civil Engineering, University of Rijeka, Radmile Matejčić 3, 51000, Rijeka, Croatia

    Martina Vivoda Prodan, Sanja Dugonjić Jovančević & Željko Arbanas

Authors
  1. Martina Vivoda Prodan
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  2. Sanja Dugonjić Jovančević
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  3. Željko Arbanas
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Corresponding author

Correspondence to Martina Vivoda Prodan .

Editor information

Editors and Affiliations

  1. International Consortium on Landslides, Kyoto, Japan

    Kyoji Sassa

  2. Civil and Environmental Engineering, California State University, Fullerton, California, USA

    Binod Tiwari

  3. Department of Civil Engineering, National Taiwan University, Taipei, Taiwan

    Ko-Fei Liu

  4. GNS Science, Lower Hutt, New Zealand

    Mauri McSaveney

  5. Geodynamics Research Center—branch of JSC “Hydroproject Institute”, Moscow, Russia

    Alexander Strom

  6. Disaster Prevention Research Institute, Kyoto University, Uji, Kyoto, Japan

    Hendy Setiawan

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Vivoda Prodan, M., Dugonjić Jovančević, S., Arbanas, Ž. (2018). TXT-tool 3.385-1.3: Landslide Occurrence Prediction in the Rječina River Valley as a Base for an Early Warning System. In: Sassa, K., Tiwari, B., Liu, KF., McSaveney, M., Strom, A., Setiawan, H. (eds) Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools . Springer, Cham. https://doi.org/10.1007/978-3-319-57777-7_13

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