Landslide mobility and hazards: implications of the 2014 Oso disaster

Iverson, Richard M.; George, David Lloyd; Allstadt, Kate E.; Reid, Mark E.; Collins, Brian D.; Vallance, James W.; Schilling, Steve P.; Godt, Jonathan W.; Cannon, Charles M.; Magirl, Christopher S.; Baum, Rex L.; Coe, Jeffrey A.; Schulz, William H.; Bower, J. Brent

doi:10.1016/j.epsl.2014.12.020

Cited by 341 publications

(238 citation statements)

References 36 publications

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“…An additional 24 files in the GeoClaw shallow water equations library handle other complications introduced by the need to model tsunamis and storm surge. (Iverson et al, 2015).…”

Section: Geoclawmentioning

confidence: 99%

Clawpack: building an open source ecosystem for solving hyperbolic PDEs

Mandli

Ahmadia²,

Berger

et al. 2016

PeerJ Computer Science

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Clawpack is a software package designed to solve nonlinear hyperbolic partial differential equations using high-resolution finite volume methods based on Riemann solvers and limiters. The package includes a number of variants aimed at different applications and user communities. Clawpack has been actively developed as an open source project for over 20 years. The latest major release, Clawpack 5, introduces a number of new features and changes to the code base and a new development model based on GitHub and Git submodules. This article provides a summary of the most significant changes, the rationale behind some of these changes, and a description of our current development model.

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“…An additional 24 files in the GeoClaw shallow water equations library handle other complications introduced by the need to model tsunamis and storm surge. (Iverson et al, 2015).…”

Section: Geoclawmentioning

confidence: 99%

Clawpack: building an open source ecosystem for solving hyperbolic PDEs

Mandli

Ahmadia²,

Berger

et al. 2016

PeerJ Computer Science

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“…The method of using multi-period DTM data to investigate terrain evolution has recently been applied in various studies regarding river bed sediment transport, landslide, and earthflow [16,25,[40][41][42]. One of the most straightforward ways is to subtract an earlier terrain elevation from a later one.…”

Section: Dem Differencingmentioning

confidence: 99%

“…Almost every technology, including theodolites, GPS, photogrammetry, InSAR, airborne LiDAR (ALS), and ground LiDAR, has its application ranges and restrictions in terms of spatial and time scales when employed to obtain 3-D terrain data [6,7]. By comparing the information with various precision and resolution methods that are collected during different periods, these multi-method, multi-period data of digital terrain models (DTM) have been used in landslide mechanism-related research [8], observations of surficial activity [9][10][11], landslide volume calculations [12][13][14], and volume variation estimations [15], as well as disaster scale assessment and simulation [16].…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, this type of method is also restricted by various factors such as area features, landslide type, slope morphology, and rock properties [29]. With the development of DTM data, it has become feasible to adopt various techniques such as photogrammetry, ALS, and ground LiDAR, along with multi-period terrain information to calculate landslide volume [10,[12][13][14][15][16]19]. This work used the multi-period aerial photogrammetry, UAV, and ALS techniques to explore the application of data generated from different techniques in DEM differencing analysis after landslide hazards, as well as to calculate the earthflow volume produced by massive landslides.…”

Section: Introductionmentioning

confidence: 99%

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Digital Elevation Model Differencing and Error Estimation from Multiple Sources: A Case Study from the Meiyuan Shan Landslide in Taiwan

Hsieh

Chan

2016

Remote Sensing

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In this study, six different periods of digital terrain model (DTM) data obtained from various flight vehicles by using the techniques of aerial photogrammetry, airborne LiDAR (ALS), and unmanned aerial vehicles (UAV) were adopted to discuss the errors and applications of these techniques. Error estimation provides critical information for DTM data users. This study conducted error estimation from the perspective of general users for mountain/forest areas with poor traffic accessibility using limited information, including error reports obtained from the data generation process and comparison errors of terrain elevations. Our results suggested that the precision of the DTM data generated in this work using different aircrafts and generation techniques is suitable for landslide analysis. Especially in mountainous and densely vegetated areas, data generated by ALS can be used as a benchmark to solve the problem of insufficient control points. Based on DEM differencing of multiple periods, this study suggests that sediment delivery rate decreased each year and was affected by heavy rainfall during each period for the Meiyuan Shan landslide area. Multi-period aerial photogrammetry and ALS can be effectively applied after the landslide disaster for monitoring the terrain changes of the downstream river channel and their potential impacts.

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“…In recent history, the 2014 Oso Landslide in Washington, which was said to be triggered by heavy rainfall, is among the worst landslide disasters in the United States (Keaton et al 2014;Iverson et al 2015). Researchers, including Tiwari et al (2016), Tran (2016), Collins and Znidarcic (2004), Kim et al (2012), Orense et al (2004), Ling and Ling (2012), Lu et al (2012), andTiwari andCaballero (2015), have studied the effect of various parameters such as slope geometry, soil density, and intensity of rainfall on the stability of rainfall-induced slope failures.…”

Section: Introductionmentioning

confidence: 99%

Influence of Post-Earthquake Rainfall on the Stability of Clay Slopes (IPL-192)

Tiwari

Ajmera

Tran

2017

Advancing Culture of Living With Landslides

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Rainfall and earthquakes are considered two of the major causes of landslides worldwide. These landslides cause billions of dollars in property damage and revenue losses, as well as the deaths of thousands of people each year. While researchers have been examining the effect of either rainfall or earthquakes on the deformation and stability of slopes, the combined effect of rainfall and earthquakes on deformation and slope stability has not been evaluated systematically. In this study, a series of model slopes were constructed in a Plexiglas container placed on top of a shake table. The model slopes were prepared to have different initial void ratios of 0.89, 1.0 and 1.2 and various slope inclinations of 30°, 40°, and 45°. These slopes were instrumented with accelerometers, tensiometers and inclinometers and subjected to a number of sinusoidal seismic motions with different seismic accelerations from 0.1 to 0.3 g, with several frequencies ranging from 1 to 3 Hz for various durations ranging from 10 cycles to 50 cycles of loading. Following the earthquake event, a rain simulator system was used to induce rainfall at intensities of either 18, 30 or 60 mm/h. The seepage velocity, spatial variation of suction and the deformation of the slopes were determined. The results obtained were compared to those obtained from similar slopes subjected to rainfall without an earthquake event. The study showed that the seismic shaking resulted in a reduction in the seepage velocity in the slope, which led to an increase in the factor of safety of the slope with time.

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Landslide mobility and hazards: implications of the 2014 Oso disaster

Cited by 341 publications

References 36 publications

Clawpack: building an open source ecosystem for solving hyperbolic PDEs

Clawpack: building an open source ecosystem for solving hyperbolic PDEs

Digital Elevation Model Differencing and Error Estimation from Multiple Sources: A Case Study from the Meiyuan Shan Landslide in Taiwan

Influence of Post-Earthquake Rainfall on the Stability of Clay Slopes (IPL-192)

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