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Introduction—Testing, Modeling and Risk Assessment

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Understanding and Reducing Landslide Disaster Risk (WLF 2020)

Part of the book series: ICL Contribution to Landslide Disaster Risk Reduction ((CLDRR))

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Abstract

There has been a significant progress in landslide mitigation strategies in recent years. Recent advancement in physical or experimental and numerical modelling, testing methods to evaluate soil properties, and computing capabilities for slope and deformation analyses as well as landslide risk assessment lead the global scientists to prepare in advance for landslide hazard mitigation. The papers collected in this volume, authored by global leaders in scientific research pertinent to landslide hazard mitigation, provide testament of the progress we made recently on landslide hazard mitigation, specifically on recent development in testing, modelling and risk assessment methods.

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References

  • Mikos M, Tiwari B, Yin Y, Sassa K (2017a) Advancing culture of living with landslides: volume 2, advances in landslide science, Part 1. Springer

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  • Mikos M, Tiwari B, Yin Y, Sassa K (2017b) Advancing culture of living with landslides: volume 2, advances in landslide science, Part 2. Springer

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  • Tiwari B, Sassa K, Bobrowsky P, Takara K (2020) Understanding & reducing landslide disaster risk, volume 4—testing, modeling and risk assessment. Springer

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Acknowledgements

The authors would like to thank the reviewers who provided their valuable time to review the papers submitted in this book volume, which helped the editors to make appropriate decisions regarding acceptance of those papers. Moreover, the authors appreciate authors of the papers presented in this book volume for submitting the results of their study in this book.

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Correspondence to Binod Tiwari .

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Tiwari, B., Ajmera, B., Cuomo, S., Sasahara, K., Uzuoka, R. (2021). Introduction—Testing, Modeling and Risk Assessment. In: Tiwari, B., Sassa, K., Bobrowsky, P.T., Takara, K. (eds) Understanding and Reducing Landslide Disaster Risk. WLF 2020. ICL Contribution to Landslide Disaster Risk Reduction. Springer, Cham. https://doi.org/10.1007/978-3-030-60706-7_1

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