Presentation and Analysis of a Worldwide Database of Earthquake‐Induced Landslide Inventories

Tanyaş, Hakan; Westen, C.J. van; Allstadt, Kate E.; Jessee, M. Anna Nowicki; Görüm, Tolga; Jibson, Randall W.; Godt, Jonathan W.; Satō, Hiroshi; Schmitt, Robert G.; Marc, Odin; Hovius, Niels

doi:10.1002/2017jf004236

Cited by 197 publications

(209 citation statements)

References 106 publications

Supporting

Mentioning

202

Contrasting

Unclassified

Order By: Relevance

“…Distribution of earthquakes having digitally available earthquake‐triggered landslide inventories listed in Table S1 (Supplementary Information, adapted from Tanyas et al, ; Schmitt et al, ). Data repository can be accessed online ( https://www.sciencebase.gov/catalog/item/583f4114e4b04fc80e3c4a1a).…”

Section: Coseismic Landslidesmentioning

confidence: 99%

“…Progress in earthquake‐triggered landslide modeling studies through time. The earthquake inventories used to compute cumulative numbers of inventories are those reported in Tanyas et al (). Vertical lines indicate the time of earthquakes significant to earthquake‐triggered landslide research (red) and products useful for developing models (blue dashed line).…”

Section: Hazard and Risk Assessment Management And Mitigationmentioning

confidence: 99%

See 1 more Smart Citation

Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts

Fan

Scaringi

Korup

et al. 2019

Reviews of Geophysics

Self Cite

559

296

View full text Add to dashboard Cite

Large earthquakes initiate chains of surface processes that last much longer than the brief moments of strong shaking. Most moderate‐ and large‐magnitude earthquakes trigger landslides, ranging from small failures in the soil cover to massive, devastating rock avalanches. Some landslides dam rivers and impound lakes, which can collapse days to centuries later, and flood mountain valleys for hundreds of kilometers downstream. Landslide deposits on slopes can remobilize during heavy rainfall and evolve into debris flows. Cracks and fractures can form and widen on mountain crests and flanks, promoting increased frequency of landslides that lasts for decades. More gradual impacts involve the flushing of excess debris downstream by rivers, which can generate bank erosion and floodplain accretion as well as channel avulsions that affect flooding frequency, settlements, ecosystems, and infrastructure. Ultimately, earthquake sequences and their geomorphic consequences alter mountain landscapes over both human and geologic time scales. Two recent events have attracted intense research into earthquake‐induced landslides and their consequences: the magnitude M 7.6 Chi‐Chi, Taiwan earthquake of 1999, and the M 7.9 Wenchuan, China earthquake of 2008. Using data and insights from these and several other earthquakes, we analyze how such events initiate processes that change mountain landscapes, highlight research gaps, and suggest pathways toward a more complete understanding of the seismic effects on the Earth's surface.

show abstract

Section: Coseismic Landslidesmentioning

confidence: 99%

Section: Hazard and Risk Assessment Management And Mitigationmentioning

confidence: 99%

Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts

Fan

Scaringi

Korup

et al. 2019

Reviews of Geophysics

Self Cite

559

296

View full text Add to dashboard Cite

show abstract

“…From that database, we use the 45 inventories for which landslide area information is available (Table ). Each inventory has a different level of quality, completeness, and in some of them, landslides can be attributed to more than one earthquake (Tanyas et al ., ).…”

Section: Input Datamentioning

confidence: 99%

“…In addition, the database includes the 2010 Haiti inventory of Harp et al . (), which is considered a comprehensive inventory where landslides were mapped in a very detailed manner (Harp et al ., ; Tanyas et al ., ) for the entire affected area. In this paper, we refer to these inventories as high‐detail inventories and the rest, which do not meet the three main criteria, are described as partial inventories.…”

Section: Input Datamentioning

confidence: 99%

An updated method for estimating landslide‐event magnitude

Tanyaş

Allstadt

Westen

2018

Earth Surf Processes Landf

Self Cite

View full text Add to dashboard Cite

Summary statistics derived from the frequency–area distribution (FAD) of inventories of triggered landslides allows for direct comparison of landslides triggered by one event (e.g. earthquake, rainstorm) with another. Such comparisons are vital to understand links between the landslide‐event and the environmental characteristics of the area affected. This could lead to methods for rapid estimation of landslide‐event magnitude, which in turn could lead to estimates of the total triggered landslide area. Previous studies proposed that the FAD of landslides follows an inverse power‐law, which provides the basis to model the size distribution of landslides and to estimate landslide‐event magnitude (mLS), which quantifies the severity of the event. In this study, we use a much larger collection of earthquake‐induced landslide (EQIL) inventories (n=45) than previous studies to show that size distributions are much more variable than previously assumed. We present an updated model and propose a method for estimating mLS and its uncertainty that better fits the observations and is more reproducible, robust, and consistent than existing methods. We validate our model by computing mLS for all of the inventories in our dataset and comparing that with the total landslide areas of the inventories. We show that our method is able to estimate the total landslide area of the events in this larger inventory dataset more successfully than the existing methods. © 2018 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd.

show abstract

“…html) (Martino et al, 2014). A global-scale centralized repository with sixty-six digital inventories for earthquake-triggered landslide from numerous authors was compiled by Tanyaş et al (2017) and is available through the U.S. Geological Survey's ScienceBase Catalog landslide inventories webpage (https://www. sciencebase.gov/catalog/item/586d824ce4b0f5ce109fc9a6).…”

Section: Landslide Databasesmentioning

confidence: 99%