Non-catastrophic landslides induced by the Mw 7.6 Chi-Chi earthquake in central Taiwan as revealed by PIV analysis

Tseng, Chia-Han; Hu, Jyr‐Ching; Chan, Yu-Chang; Chu, Hao‐Tsu; Lee, Jin‐Fa; Wei, Jheng-Yue; Chang-yi, LU; Lin, Min

doi:10.1016/j.tecto.2007.11.019

Cited by 10 publications

(7 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Digital image correlation (DIC) is a popular application in fluid mechanics for quantifying flow velocity from digital images (Adrian, 1991;Westerweel, 1997). Recently, DIC was applied to aerial and satellite images for estimating displacements associated with landslides (Delacourt et al, 2004(Delacourt et al, , 2007(Delacourt et al, , 2009Casson et al, 2005;Tseng et al, 2009), earthquakes (Van Puymbroeck et al, 2000 and glaciers (Kääb, 2002;Kääb et al, 2005). Close range DIC was also used to reconstruct displacement patterns during shearing of soils in laboratory-scale tests (White et al, 2003).…”

Section: Background and Rationalementioning

confidence: 99%

Kinematics of active earthflows revealed by digital image correlation and DEM subtraction techniques applied to multi‐temporal LiDAR data

Daehne

Corsini

2012

Earth Surf Processes Landf

View full text Add to dashboard Cite

Earthflow‐type landslides are persistent natural hazards having deep socio‐economic and environmental consequences. They have significantly contributed to the geomorphic evolution of mountainous slopes in Europe since the Late Glacial. An understanding of their complex kinematics is crucial to better constrain the processes governing their occurrence and mobility. In this work we explored the possibility to quantify displacement vectors on a spatially distributed basis and to quantify volumetric transfer at the slope scale with regard to a large flow‐type landslide located in the northern Apennines of Italy. For this purpose we applied digital image correlation (DIC) and digital elevation model differencing (DEMoD) techniques to multi‐temporal airborne LiDAR surveys of 2006, 2007 and 2009. The DIC was applied to greyscale slope gradient maps retrieved after precise co‐registration of LiDAR surveys. Thereby, movement patterns over various sectors of the landslide were reconstructed and quantified, most notably up to 20 m in the head zone, up to 51 m in the lower main track, and up to about 27 m at the landslide toe. The DEMoD analysis revealed significant mass transfer from the source to the tracks and toe zone, with the upper flow tracks acting as temporal storage of large amounts of material. The mass balance indicated that significant amounts of advancing landslide debris were eroded by a local stream. An integrated analysis of DEMoD and DIC results allowed for a discussion of governing processes, such as the transition from slide to flow, the influence of underlying topography on earthflow mobility, and the role of undrained loading as a mechanism of toe zone reactivation. In conclusion, the successful application of DIC and DEMoD to the case study underlines the added value of high‐resolution DEMs in the analysis of earthflow kinematics toward a better understanding of their role in the geomorphic evolution of slopes. Copyright © 2012 John Wiley & Sons, Ltd.

show abstract

Section: Background and Rationalementioning

confidence: 99%

Kinematics of active earthflows revealed by digital image correlation and DEM subtraction techniques applied to multi‐temporal LiDAR data

Daehne

Corsini

2012

Earth Surf Processes Landf

View full text Add to dashboard Cite

show abstract

“…De igual modo, Chan et al (2004) determinaron el campo de desplazamiento horizontal asociado a la zona de ruptura generada por el terremoto Chi-Chi ocurrido al noroeste de Taiwán en 1999. Este evento desencadenó un deslizamiento no catastrófico; su tamaño, las direcciones de movimiento del material, y la superficie involucrada fueron detalladamente determinados por medio de la correlación de fotografías aéreas previas y posteriores al deslizamiento (figura 5.3; Tseng et al, 2009).…”

Section: Aplicacionesunclassified

“…(B) Mapa de magnitudes de desplazamiento en píxeles; obsérvese la resolución lograda en la determinación de los límites del material movilizado. Tomado deTseng et al (2009).…”

unclassified

Metodología Para El Estudio De Sistemas Compresivos Y De Sus Controles Estructurales

Yagupsky¹

2010

SciVee

View full text Add to dashboard Cite

An experimental method for structurally analyzing regions subjected to compressive stresses is developed in this work, exploring the influence of some previous features of the materials involved. By means of analogue models, and using the GEODEF 1.1 software designed, the hypotheses proposed for understanding the strain processes studied may be evaluated, and the relative importance of the variables involved can be examined. The method was designed to get a 2D high-resolution strain monitoring of the deformation fields, from sequential digital photos obtained throughout the evolution of the experimental models. The corresponding displacement fields are computed by an optical image cross-correlation technique (Particle Image Velocimetry, PIV). The software designed allows establishing the pattern of incremental strain, much earlier than scarps become visible over the surface of the model. It also computes and maps the strain components dilatation, rotation, simple shear, and plots the principal axes of the strain ellipses over each sector. Two structural processes of different scales are reproduced by two series of analogue models: i) oblique reactivation of extensional systems; and ii) formation of map-view curves in fold and thrust belts. The first one provides a progressive model

show abstract

“…In recent years, particle image velocimetry (PIV) method had been used to monitor and calculate the velocity and/or movement of fluid, streams, river ice velocity, civil structures, and ground (Refs [3][4][5][6]). Refs [7][8] used the aerial photographs to conduct ortho processing, and applied the particle image velocimetry (PIV) method to observe the surface displacement of a large area [9]. The method and procedures suggested by Refs [7][8] are also checked, modified, and adopted in this research.…”

Section: Introductionmentioning

confidence: 99%

Site Investigation and Analyses of Landslide Range Using Particle Image Velocimetry

Chiu

Quah

Hsu

et al. 2017

Journal of Testing and Evaluation

View full text Add to dashboard Cite

In order to understand the stability and slipping behavior of the slope, in situ investigation and monitoring have been carried out at 12.3K of Nantou County 89 th County Road, Taiwan. The acquired potential sliding depth and range of moving area from the boring logs and inclinometer measurements match with the outcomes from electrical resistivity tomography. The other purpose of this study was to obtain the horizontal displacement field of the landslide at station 12.3K's landslide and its surrounding area using the particle image velocimetry (PIV) technique. The orthophotographs, taken during 2008 and 2012, were analyzed using the PIVview2C. The results show that the maximum horizontal displacement is about 5.5 to 6.1m in this study area. For movements in 2008-2009 and 2010-2012, the major displacement is around 5 to 6.5m. Most of the calculated displacement magnitudes are less than 2.5m in .2009-2010. The major moving direction is toward the azimuth 247.5°-292.5°. The results of PIV analysis can quickly identify the major moving zones and displacement fields compared with traditional methods.

show abstract

Non-catastrophic landslides induced by the Mw 7.6 Chi-Chi earthquake in central Taiwan as revealed by PIV analysis

Cited by 10 publications

References 22 publications

Kinematics of active earthflows revealed by digital image correlation and DEM subtraction techniques applied to multi‐temporal LiDAR data

Kinematics of active earthflows revealed by digital image correlation and DEM subtraction techniques applied to multi‐temporal LiDAR data

Metodología Para El Estudio De Sistemas Compresivos Y De Sus Controles Estructurales

Site Investigation and Analyses of Landslide Range Using Particle Image Velocimetry

Contact Info

Product

Resources

About