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  • Cited by 16
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    Graupl, T. Pschernig, E. Rokitansky, C.-H. Marschallinger, R. and Zobl, F. 2014. Development of simulation-supported long range B-VLOS RPAS mission planning for remote sensing in alpine disaster operations management. p. 6A3-1.

    Salazar, F. Irazábal, J. Larese, A. and Oñate, E. 2016. Numerical modelling of landslide-generated waves with the particle finite element method (PFEM) and a non-Newtonian flow model. International Journal for Numerical and Analytical Methods in Geomechanics, Vol. 40, Issue. 6, p. 809.

    Gholami, Mahsa and Bodaghi, Asadollah 2016. Fusing of optimized intelligence models by virtue of committee machine for estimation of the residual shear strength of clay. Modeling Earth Systems and Environment, Vol. 2, Issue. 1,

    Griffiths, J. S. and Giles, D. P. 2017. Chapter 9 Conclusions and illustrative case studies. Geological Society, London, Engineering Geology Special Publications, Vol. 28, Issue. 1, p. 891.

    Jiang, Yao Wang, Gonghui and Kamai, Toshitaka 2017. Fast shear behavior of granular materials in ring-shear tests and implications for rapid landslides. Acta Geotechnica, Vol. 12, Issue. 3, p. 645.

    Martin, C. J. Morley, A. L. and Griffiths, J. S. 2017. Chapter 1 Introduction to engineering geology and geomorphology of glaciated and periglaciated terrains. Geological Society, London, Engineering Geology Special Publications, Vol. 28, Issue. 1, p. 1.

    Tien Bui, Dieu Tuan, Tran Anh Hoang, Nhat-Duc Thanh, Nguyen Quoc Nguyen, Duy Ba Van Liem, Ngo and Pradhan, Biswajeet 2017. Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization. Landslides, Vol. 14, Issue. 2, p. 447.

    Clayton, Anne Stead, Doug Kinakin, Derek and Wolter, Andrea 2017. Engineering geomorphological interpretation of the Mitchell Creek Landslide, British Columbia, Canada. Landslides, Vol. 14, Issue. 5, p. 1655.

    Cerri, Rodrigo Irineu Reis, Fábio Augusto Gomes Vieira Gramani, Marcelo Fischer Rosolen, Vania Luvizotto, George Luiz Giordano, Lucilia do Carmo and Gabelini, Beatriz Marques 2018. Assessment of landslide occurrences in Serra do Mar mountain range using kinematic analyses. Environmental Earth Sciences, Vol. 77, Issue. 9,

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    Matthews, John A. Winkler, Stefan Wilson, Peter Tomkins, Matt D. Dortch, Jason M. Mourne, Richard W. Hill, Jennifer L. Owen, Geraint and Vater, Amber E. 2018. Small rock-slope failures conditioned by Holocene permafrost degradation: a new approach and conceptual model based on Schmidt-hammer exposure-age dating, Jotunheimen, southern Norway. Boreas, Vol. 47, Issue. 4, p. 1144.

    Bagheri, V. Uromeihy, A. and Fatemi Aghda, S. M. 2018. Predicting the probability of rockfalls occurrence caused by the earthquake of Changureh-Avaj in 2002 using LR, MLP, and RBF methods. Bulletin of Engineering Geology and the Environment,

    Hutchinson, D. Jean and Diederichs, Mark 2018. Encyclopedia of Engineering Geology. p. 796.

    Juliani, Cyril and Ellefmo, Steinar Løve 2018. Multi-scale Quantitative Risk Analysis of Seabed Minerals: Principles and Application to Seafloor Massive Sulfide Prospects. Natural Resources Research,

    Li, Hai-Bo Li, Xiao-Wen Ning, Yu Jiang, Shu-Fang and Zhou, Jia-Wen 2018. Dynamical process of the Hongshiyan landslide induced by the 2014 Ludian earthquake and stability evaluation of the back scarp of the remnant slope. Bulletin of Engineering Geology and the Environment,

    Hutchinson, D. Jean and Diederichs, Mark 2018. Encyclopedia of Engineering Geology. p. 1.

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Book description

Landslides have geological causes but can be triggered by natural processes (rainfall, snowmelt, erosion and earthquakes) or by human actions such as agriculture and construction. Research aimed at better understanding slope stability and failure has accelerated in recent years, accompanied by basic field research and numerical modeling of slope failure processes, mechanisms of debris movement, and landslide causes and triggers. Written by seventy-five world-leading researchers and practitioners, this book provides a state-of-the-art summary of landslide science. It features both field geology and engineering approaches, as well as modeling of slope failure and run-out using a variety of numerical codes. It is illustrated with international case studies integrating geological, geotechnical and remote sensing studies, and includes recent slope investigations in North America, Europe and Asia. This is an essential reference for researchers and graduate students in geomorphology, engineering geology, geotechnical engineering and geophysics, as well as professionals in natural hazard analysis.


'A good list of references ends each chapter. The volume contains ample photos and illustrations … Recommended. Graduate students, researchers/faculty, and professionals/practitioners.'

C. W. Dimmick Source: Choice

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