H001
Advances in Geophysical Methods for Characterizing and Monitoring Landslide Hazards

Session ID#: 77331

Session Description:
Landslides are one of the costliest natural hazards worldwide. Recent advances in geophysical techniques are facilitating increasingly detailed studies of landslide subsurface features and processes. Combined with in-situ geotechnical and hydrological sensors, surface and remotely sensed geophysical data are beginning to be integrated into early-warning systems, reducing landslide risk to vulnerable communities, and are employed to inform pro-active remediation measures by elucidating hydrological precursors to failure. This is particularly important as hydrological processes in unstable slopes are known to be highly variable both spatially and temporally. Characterizing and monitoring landslides using geophysical methods still faces challenges, such as accounting for sensor movements and capturing dynamic processes in heterogeneous ground. We invite observational and modelling studies that demonstrate novel geophysical approaches to investigating landslides. We encourage submissions on landslide characterization and monitoring, linking of geophysical data with hydrological/geomechanical modelling, and the integration of geophysical techniques into early-warning systems.
Co-Organized:
  • NH - Natural Hazards
  • NS - Near Surface Geophysics
Index Terms:

1810 Debris flow and landslides [HYDROLOGY]
1835 Hydrogeophysics [HYDROLOGY]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]
4341 Early warning systems [NATURAL HAZARDS]


Primary Convener:  Sebastian Uhlemann, Lawrence Berkeley National Laboratory, Berkeley, United States
Conveners:  Matthew Crawford, University of Kentucky, Kentucky Geological Survey, Lexington, KY, United States and Jim Whiteley, University of Bristol, School of Earth Sciences, Bristol, BS8, United Kingdom
Primary Liaison:  Sebastian Uhlemann, Lawrence Berkeley National Laboratory, Berkeley, United States
 
Geological Condition Based on Sediment Thickness (H) and Vulnerability Index (Kg) Value For Landslide Early Warning In Tanjung Heran District Bengkulu Indonesia (491344)
Eli Putriani1, Wu Yih-Min2, Kenn-Ming Yang3, Refrizon Chaniago4 and Su Hendra4, (1)Department of Geoscience, National Taiwan University, Department of Geoscience, Taipei, Taiwan, (2)NTU National Taiwan University, Taipei, Taiwan, (3)National Cheng Kung University, Tainan, Taiwan, (4)University of Bengkulu Indonesia, Department of Physics, Bengkulu, Indonesia
 
Discussions on the failure types of landslides due to seepage by sandbox tests (492657)
Chen Shi-Hao, National Chung Hsing University, Department of soil and water conservation, Taichung City, Taiwan and Zheng-yi Feng, National Chung Hsing University, Department of Soil and Water Conservation, Taichung, Taiwan
 
Evaluation for perched water levels at landslide site by electric method. (504125)
Takayuki Kobayashi, Pubric Works Research Institute Japan, Tukuba, Ibaraki, Japan and Kyosuke Onishi, Pubric Works Research Institute Japan, Tukuba, Japan
 
Deployment of an electrical resistivity monitoring system to monitor a rainfall-induced landslide (Munnar, India) (509484)
Arnaud Watlet1, Hemalatha Thirugnanam2, Balmukund Singh2, Nitin M Kumar2, Deepak Brahmanandan2, Russell T Swift3, Cornelia Inauen3, Philip Meldrum3, Sebastian Uhlemann1,4, Paul Bryan Wilkinson3, Jonathan Edward Chambers5 and Maneesha Vinodini Ramesh2, (1)British Geological Survey Keyworth, Nottinghamshire, United Kingdom, (2)Amrita University, Kollam, India, (3)British Geological Survey, Keyworth, United Kingdom, (4)Lawrence Berkeley National Laboratory, Berkeley, United States, (5)British Geological Survey Keyworth, Nottinghamshire, NG12, United Kingdom
 
Morphological Mapping of 13 August 2017 Kotropi Landslide using Images and Videos from Drone and Structure from Motion (529652)
Sharad Kumar Gupta, Nitu Singh, Dericks P Shukla and Ramesh P Singh, Indian Institute of Technology Mandi, School of Engineering, Mandi, India
 
The Implementation of Debris Flow Seismic Detector With Raspberry Shake (531636)
Chung-Ray Chu1, Pochi Chen2, Yu-hung Hsiao2, Jia-Pu Jang2 and Shih-Chiang Lee1, (1)National Science and Technology Center for Disaster Reduction, New Taipei, Taiwan, (2)National Applied Research Laboratories, Taiwan Ocean Research Institute, Kaohsiung, Taiwan
 
Towards an improved geotechnical understanding of landslide hazard and slope stability from ground-based geophysical survey and monitoring (532508)
Jonathan Edward Chambers1, Philip Meldrum2, Paul Bryan Wilkinson2, Sebastian Uhlemann3, Arnaud Watlet3, Russell T Swift2, Cornelia Inauen4, David Gunn3, Oliver Kuras5, James Boyd6, James Whiteley6, Jessica Holmes6, David Huntley7, Peter T Bobrowsky8, Maneesha Vinodini Ramesh9, Hemalatha Thirugnanam10, Stephanie Glendinning11, Helen Reeves6, Shane Donohue12 and Andrew M. Binley13, (1)British Geological Survey Keyworth, Nottinghamshire, NG12, United Kingdom, (2)British Geological Survey, Keyworth, United Kingdom, (3)British Geological Survey Keyworth, Nottinghamshire, United Kingdom, (4)New Zealand, (5)British Geological Survey, Nottinghamshire, United Kingdom, (6)British Geological Survey, Nottingham, United Kingdom, (7)Geological Survey of Canada, Vancouver, BC, Canada, (8)Geological Survey of Canada, Sidney, BC, Canada, (9)Director, Amrita WNA, Kollam, India, (10)Amrita University, Kollam, India, (11)Newcastle University, Newcastle Upon Tyne, United Kingdom, (12)Queens University Belfast, Northern Ireland, United Kingdom, (13)University of Lancaster, Lancaster, United Kingdom
 
Landslide EVO: Monitoring landslides in remote western Nepal by leveraging technological advances and citizen science (534056)
Jonathan D. Paul1, Wouter Buytaert2, Saugat Paudel3, Neeraj Kumar Sah4, Binod Parajuli5, Puja Shakya6, Clara Rodriguez Morata7, Alberto Munoz Torrero7, Caroline Russell8, Jagat Bhusal9, Janak Lal Nayaval10, Megh Raj Dhital11, Arnulf Schiller12, David M Hannah13, Simon K Allen7 and Paul Smith14, (1)Imperial College London, Civil and Environmental Engineering, London, SW7, United Kingdom, (2)Imperial College London, Civil and Environmental Engineering & Grantham Institute - Climate Change and the Environment, London, United Kingdom, (3)UNESCO, Kathmandu, Nepal, (4)Indian Institute of Technology Bombay, Mumbai, India, (5)Practical Action Consulting Nepal, Kathmandu, Nepal, (6)Kathmandu, Nepal, (7)University of Geneva, Geneva, Switzerland, (8)University of Birmingham, Birmingham, United Kingdom, (9)Society of Hydrologists and Meteorologists Nepal, Kathmandu, Nepal, (10)SoHAM, Kathmandu, Nepal, (11)Tribuvan University, Kathmandu, Nepal, (12)GBA, Vienna, Austria, (13)University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, B15, United Kingdom, (14)Waternumbers Consultancy, Lancaster, United Kingdom
 
Calibration of Satellite Based Hydrologic Parameters using Ground Based Sensor Data (556630)
Daniel Francis, University of Kentucky, Lexington, KY, United States and Lindsey S. Bryson, University of Kentucky, Department of Civil Engineering, Lexington, KY, United States
 
Airborne electromagnetic and magnetic imaging of weak zones on Iliamna Volcano, Alaska (558044)
Dana E Peterson, Cornell University, Ithaca, NY, United States; USGS Crustal Geophysics and Geochemistry Science Center Denver, Denver, CO, United States, Carol Finn, USGS, Geology, Geophysics and Geochemistry Science Center, Denver, CO, United States and Paul Bedrosian, USGS, Geology, Geophysics, and Geochemistry Science Center, Denver, CO, United States
 
Slide Sentinel: A Fully Automated, Low-Cost Landslide Monitoring System Using Real Time Kinematics (561000)
Kamron Kent Ebrahimi, Oregon State University, Corvallis, OR, United States, Grayland Ryder Lunn, Student, Corvallis, United States, Blake Mckenzie Hudson, Oregon State University, Corvallis, United States, Chet Udell, Oregon State University, Biological & Ecological Engineering, Corvallis, OR, United States and John S Selker, Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States
 
A Study on Detection and Monitoring in Slow-Moving Landslide area by Using the UAV, Republic of Korea (564293)
ChoongShik Woo, KFRI Korea Forest Research Institute of the Korea Forest Service, Seoul, Korea, Republic of (South), JunPyo Seo, National Institute of Forest Science, Korea Forest Service, Seoul, South Korea and ChangWoo Lee, KFRI Korea Forest Research Institute of the Korea Forest service, Seoul, South Korea
 
The Advance of Landslide Data and Slope Investigation in Taiwan Through Multiple Techniques (567105)
Tung-Lin Tai, Mien-Ming Chen and Li-Yuan Fei, Central Geological Survey, Taipei, Taiwan
 
Water Flow Monitoring by Fusion Probability Tomography of Self-potential Data (571688)
Qinghua Huang and Kaiyan Hu, Peking University, Beijing, China
 
Multi-technique approach to characterize ancient deep-seated landslides in seismic regions (573706)
Anne-Sophie Mreyen1, Lena Cauchie1, Mihai Micu2, Philippe Cerfontaine1 and Hans-Balder Havenith1, (1)University of Liège, Dept of Geology, Liege, Belgium, (2)Institute of Geography, Romanian Academy, Bucharest, Romania
 
Linking the soil macropores, subsurface flow and its hydrodynamic characteristics to the development of Benggang erosion in subtropical China (575220)
Yu TAO1, Zhou JIA Chen1, Henry Lin2 and Lirong Lin3, (1)Huazhong Agricultural University, College of Resources and Environment, Wuhan, China, (2)Department of Ecosystem Science and Management, The Pennsylvania State University, University Park, PA, United States, (3)College of Resources and Environment, Huazhong Agricultural University, Wuhan, China
 
Extraction of high-frequency surface waves from ambient seismic noises on the Xishancun landslide (581980)
Qiu Zeng1,2, Risheng Chu1, Jiajun Chong1 and Xiangfang Zeng1, (1)State Key Laboratory of Geodesy and Earth’s Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China, (2)College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China
 
Characterization and monitoring of a landslide in Lias Group mudrocks at the Hollin Hill Landslide Observatory using integrated seismic refraction and electrical resistivity surveys (583543)
Jim Whiteley1,2, J Michael Kendall3, Sebastian Uhlemann4, Arnaud Watlet2, James Boyd2,5 and Jonathan Edward Chambers6, (1)University of Bristol, School of Earth Sciences, Bristol, BS8, United Kingdom, (2)British Geological Survey Keyworth, Nottinghamshire, United Kingdom, (3)University of Bristol, School of Earth Sciences, Bristol, United Kingdom, (4)Lawrence Berkeley National Laboratory, Berkeley, United States, (5)Lancaster University, Lancaster Environment Centre, Lancaster, United Kingdom, (6)British Geological Survey, Keyworth, United Kingdom
 
Erosion and Acretion Volumes Estimation Using a Drone and Near Surface Geophysics Methods in Coastal Badlands Context. (591891)
Cyrille Fauchard1, Raphael Antoine1, Sam Taoum1, Olivier Maquaire Sr.2, Stéphane Costa2, Mohand Medjkane2 and Thomas Roulland2, (1)Cerema (Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement), ENDSUM Project Team, Le Grand Quevilly, France, (2)Université de Caen Normandie, LETG - UMR 6554, Caen, France
 
A Landslide Inventory for British Columbia (Canada) using SAR Interferometry (618533)
Andy Pon, David Mackenzie, Jon Leighton, Samira Alipour, Manuele Pichierri and Parwant Ghuman, 3vGeomatics Inc., Vancouver, BC, Canada
See more of: Hydrology