NH21B:
Advances in Landslide Science to Assess Landslide Hazards and Risk Posters


Submit an Abstract to this Session


Session ID#: 53978

Session Description:
Expanded data availability, advances in theoretical understanding, and increasingly sophisticated analytical tools have generally outpaced their practical application for landslide hazard and risk reduction. Despite the significant societal and economic impacts of landslides worldwide, reported occurrences are underestimated globally down to the local level. We invite exploration of these challenges from physical science, social science, technological, and multi-disciplinary perspectives. Documenting landslides is integral to improving our understanding of slope characteristics that lead to slide activity, as well as communicating their occurrence in the context of another natural hazard event. This session explores the tools and techniques of landslide inventory mapping, field investigations, susceptibility modeling and risk assessment. We further invite contributions describing case-studies, novel approaches, and stories of failure and obstacles overcome in the effort to work with communities at all scales and levels to reduce landslide losses.
Primary Convener:  Matthew Crawford, University of Kentucky, Kentucky Geological Survey, Lexington, KY, United States
Conveners:  Jonathan Godt, USGS, Natural Hazards Mission Area, Golden, United States, Ben Adam Leshchinsky, Oregon State University, Department of Forest Engineering, Resources and Management, Corvallis, United States and Ching Hung, National Cheng Kung University, Department of Civil Engineering, Tainan, Taiwan
Primary Liaison:  Ben Adam Leshchinsky, Oregon State University, Department of Forest Engineering, Resources and Management, Corvallis, United States
Chairs:  Matthew Crawford, University of Kentucky, Kentucky Geological Survey, Lexington, KY, United States and Ching Hung, National Cheng Kung University, Department of Civil Engineering, Tainan, Taiwan
OSPA Liaison:  Ben Adam Leshchinsky, Oregon State University, Department of Forest Engineering, Resources and Management, Corvallis, United States
Index Terms:

1810 Debris flow and landslides [HYDROLOGY]
4302 Geological [NATURAL HAZARDS]
4303 Hydrological [NATURAL HAZARDS]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Flow propagation on complex topographies : importance of curvature effects in depth-averaged models. (418638)
Marc Peruzzetto1, Anne Mangeney2, Clara Levy3, Yannick Thiery3, G Grandjean3 and Francois Bouchut4, (1)Université de Paris, Institut de Physique du Globe de Paris, Paris, France, (2)Institut de Physique du Globe de Paris (IPGP), Université Paris Cité, Paris, France, (3)BRGM, Orléans, France, (4)Université Marne la Vallée, Laboratoire d’Analyse et de Mathématiques Appliquées, Marne la Vallée, France
Seismc Inversion of the June 2017 Maoxian Landslide (349178)
Wenying Li, Peking University, Beijing, China, Yong Zhang, Peking University, School of Earth and Space Sciences, Beijing, China, He Siming, Institution of Mountain Hazards and Environment, CAS, Chengdu, China, Guixi Yi, Sichuan Earthquake Agency, Chengdu, China and Rongjiang Wang, Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, Germany
Landslide Susceptibility Mapping using Ensemble based Machine Learning Models in the Southeast of Gyeonggi-do, Korea (355160)
Saro Lee, Korea Institute of Geoscience and Mineral Resources (KIGAM) and Korea University of Science and Technology, Daejeon, South Korea and Hyun-Joo Oh, KIGAM Korea Institute of Geoscience and Mineral Resources, Geological Hazards, Daejeon, Korea, Republic of (South)
Real-time landslide monitoring with a wireless sensors network based on ultra-wide band technology: applications and perspectives (367347)
Luca Nannipieri1, Alessandro Fornaciai2, Massimiliano Favalli3, Emanuele Intrieri4, Giovanni Gigli4, Teresa Gracchi4, Massimiliano Nocentini4, Luca Lombardi4, Francesco Mugnai5, William Frodella4, Giovanni Bertolini6, Ennio Carnevale7, Jordi Marturià Alavedra8, Lorenzo Mucchi7, Xavier Rodriguez-Lloveras8, Marco Pizziolo6, Rosa Schina9, Federico Trippi9 and Nicola Casagli10, (1)Istituto Nazionale di Geofisica e Vulcanologia, Pisa Department, Pisa, Italy, (2)Istituto Nazionale di Geofisica e Vulcanologia, Pisa, Italy, (3)Istituto Nazionale di Geofisica e Vulcanologia, Pisa Department, Palermo, Italy, (4)University of Florence, Department of Earth Sciences, Florence, Italy, (5)European Commission Joint Research Centre, Strategy and Work Program coordination, Ispra Vey, Italy, (6)Agency for Territorial Safety and Civil Protection, Emilia-Romagna Region, Reggio Emilia, Italy, (7)Department of Information Engineering, University of Florence, Firenze, Italy, (8)ICGC (Institut Cartogràfic i Geològic de Catalunya), Barcelona, Spain, (9)International Consortium for Advanced Design, Firenze, Italy, (10)University of Firenze, Department of Earth Sciences, Firenze, Italy
Landslide Susceptibility Assessment Based on Satellite Image Processing and Bi-variate Statistical Modeling for Rangamati District, Bangladesh (368417)
Shamima Ferdousi Sifa1, Dewan Mohammad Enamul Haque2, Tonoy Mahmud3 and Maria Abdullah Tarin3, (1)University of Dhaka, Department of Disaster Science and Climate Resilience, Dhaka, Bangladesh, (2)University of Dhaka, Department of Disaster Science and Management (DSM), Dhaka, Bangladesh, (3)University of Dhaka, Department of Disaster Science and Management, Dhaka, Bangladesh
Mapping Vegetation Type and Slope Hydrology: Implications for Landslide Susceptibility on Waud Bluff, Portland, OR. (371037)
Megan Gravert, Anna Katherine Wood-Gaines, Kristin Sweeney and Shannon Christine Hansell, University of Portland, Portland, OR, United States
Developing a Regional Model for Nowcasting Assessment of Seismically Induced Landslides (382673)
Hsiang-Chieh LIU1, Ray Y Chuang1 and Bing-Sheng Wu2, (1)National Taiwan University, Taipei, Taiwan, (2)National Taiwan Normal University, Taipei, Taiwan
Evaluation of secondary slope failure susceptibility at slope disaster sites which occurred by rainfall (388107)
Shoji Doshida and Kiminori Araiba, National Research Institute of Fire and Disaster, Tokyo, Japan
Geostatistical modeling to capture seismic-shaking patterns from earthquake-induced landslides (397824)
Luigi Lombardo1, Haakon Bakka2, Hakan Tanyas3, Cees J. van Westen3, Raphaël Huser2 and Paul Martin Mai4, (1)University of Twente, ITC, Enschede, Netherlands, (2)King Abdullah University of Science and Technology, Computer, Electrical and Mathematical Sciences & Engineering, Thuwal, Saudi Arabia, (3)University of Twente, Faculty of Geo-Information Sciences and Earth Observation (ITC), Enschede, Netherlands, (4)Division of Physical Sciences & Engineering, Thuwal, Saudi Arabia
A Guide to Ambient Vibration Classification of Unstable Rock Slopes (404935)
Ulrike Kleinbrod1, Jan Burjánek2 and Donat Fäh1, (1)ETH Swiss Federal Institute of Technology Zurich, Zurich, Switzerland, (2)Institute of Geophysics, Czech Academy of Sciences, Praha, Czech Republic
Comparison of Single Event-based and Multiple Event-based Landslide Modeling Method using Artificial Neural Network (405608)
Tang-Huang Lin, Center for Space and Remote Sensing Research, National Central University, Taoyuan 32001, Taiwan, Center for Space and Remote Sensing Research, Jhongli, Taiwan and Emmanuel Léonard, NCU National Central University of Taiwan, Jhongli, Taiwan
Application of InSAR techniques for monitoring landslide and bluff recession along Lake Michigan’s coastal bluff (418647)
Guzalay Sataer1, Mohamed Sultan1, Esayas Gebremichael2, Mustafa Kemal Emil1, Alan Kehew1, John A Yellich3 and Ronald Chase4, (1)Western Michigan University, Department of Geological and Environmental Sciences, Kalamazoo, MI, United States, (2)Texas Christian University, Geological Sciences, Fort Worth, TX, United States, (3)Michigan Geological Survey, Kalamazoo, MI, United States, (4)Department of Geological and Environmental Sciences, Kalamazoo, United States
Revisiting apparent root cohesion at the Coos Bay, Oregon landslide: A comparison of three models (418664)
Collin Cronkite-Ratcliff, U.S. Geological Survey, Menlo Park, CA, United States, Kevin M Schmidt, USGS Western Regional Offices Menlo Park, Menlo Park, CA, United States and Charlotte Wirion, Vrije Universiteit Brussel, Brussels, Belgium
Slide Sentinel: Designing Remote Sensor Systems to Estimate Landslide Potential in Oregon Landscapes (425755)
Marissa Kwon1, Grayland Ryder Lunn2, Cara Walter3, Chet Udell4 and John Steven Selker4, (1)Oregon State University, Electrical Engineering, Corvallis, OR, United States, (2)Student, Corvallis, United States, (3)Oregon State University, Corvallis, OR, United States, (4)Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States
Seismically-Induced Bedrock Weakening and Its Role in Setting Landslide Size (427373)
Kami Mohammadi, California Institute of Technology, Pasadena, CA, United States and Domniki Asimaki, California Institute of Technology, Pasadena, United States
Simple rules versus hazard maps: what is lost or gained? (430826)
David Milledge, Newcastle University, School of Engineering, Tyne and Wear, United Kingdom, Alexander Densmore, Durham University, Department of Geography, Durham, United Kingdom and Dino G. Bellugi, University of California Berkeley, Geography, Berkeley, United States
Alteration of Rocks as Important Factor for Landslides Formation in Geothermal Areas of Kamchatka Peninsula, Russia (431715)
Julia Frolova1, Oleg Zerkal2 and Irina Gvozdeva2, (1)Lomonosov Moscow State University, Moscow, Russia, (2)Lomonosov Moscow State University, Geological, Moscow, Russia
Study on a dip slope by long-term monitoring of surficial and underground deformation at the Dalun Mountain in northern Taiwan (432033)
Chia-Han Tseng, National Central University, Graduate Institute of Applied Geology, Taoyuan, Taiwan, Yu-Chang Chan, Institute of Earth Sciences Academia Sinica, Taipei, Taiwan, Ching-Jiang Jeng, Huafan University, Department of Landscape Architecture and Environmental Design, New Taipei City, Taiwan, Ruey-Juin Rau, Natl Cheng-Kung University, Department of Earth Sciences, Tainan, Taiwan, Choon-Muar Ker, National Cheng-Kung university, Tainan, Taiwan, Min-Ying Tsai, National Cheng-Kung Unversity, Tainan City, Taiwan and Yu-Chung Hsieh, Central Geological Survey, Ministry of Economic Affairs, Taipei, Taiwan
A three-dimensional mechanical based model for shallow landslide: a case study of the 2011 Seoul debris flow disaster (433501)
Ying-Hsin Wu, Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan, Ching Hung, National Cheng Kung University, Department of Civil Engineering, Tainan, Taiwan, Chan-Young Yune, Gangneung-Wonju National University, Gangneung, South Korea and Eiichi Nakakita, Disaster Prevention Research Institute, Kyoto University, Uji, Japan
Seismic response of unstable rock slopes – insights from numerical modeling (447122)
Jan Burjanek1, Ulrike Kleinbrod2 and Donat Fäh2, (1)Institute of Geophysics ACSR, Prague 4, 141, Czech Republic, (2)ETH Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
Tracking differential landslide motion on the Big Sur coast with SfM topography (456867)
Elizabeth K Haddon1, Kevin M Schmidt1, Mark E Reid2, Andrew C Ritchie3 and Jonathan A Warrick4, (1)U.S. Geological Survey, Geology, Minerals, Energy, & Geophysics Science Center, Menlo Park, CA, United States, (2)USGS, Volcano Science Center, Moffett Field, United States, (3)U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, United States, (4)U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA, United States
Implementation of reconstructed topography in landslide susceptibility mapping (466457)
João Paulo Carvalho Araújo, UFRJ Federal University of Rio de Janeiro, Rio De Janeiro, Brazil, Dino G. Bellugi, University of California, Berkeley, Department of Geography, Berkeley, United States, William E Dietrich, University of California Berkeley, Department of Earth and Planetary Science, Berkeley, United States and Nelson Ferreira Fernandes, UFRJ Federal University of Rio de Janeiro, Department of Geography, Rio De Janeiro, Brazil

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