TY  - JOUR
A1  - Tanyas, Hakan
A1  - van Westen, Cees J.
A1  - Allstadt, Kate E.
A1  - Jessee, M. Anna Nowicki
A1  - Gorum, Tolga
A1  - Jibson, Randall W.
A1  - Godt, Jonathan W.
A1  - Sato, Hiroshi P.
A1  - Schmitt, Robert G.
A1  - Marc, Odin
A1  - Hovius, Niels
T1  - Presentation and Analysis of a Worldwide Database of Earthquake-Induced Landslide Inventories
JF  - Journal of geophysical research : Earth surface
N2  - Earthquake-induced landslide (EQIL) inventories are essential tools to extend our knowledge of the relationship between earthquakes and the landslides they can trigger. Regrettably, such inventories are difficult to generate and therefore scarce, and the available ones differ in terms of their quality and level of completeness. Moreover, access to existing EQIL inventories is currently difficult because there is no centralized database. To address these issues, we compiled EQIL inventories from around the globe based on an extensive literature study. The database contains information on 363 landslide-triggering earthquakes and includes 66 digital landslide inventories. To make these data openly available, we created a repository to host the digital inventories that we have permission to redistribute through the U.S. Geological Survey ScienceBase platform. It can grow over time as more authors contribute their inventories. We analyze the distribution of EQIL events by time period and location, more specifically breaking down the distribution by continent, country, and mountain region. Additionally, we analyze frequency distributions of EQIL characteristics, such as the approximate area affected by landslides, total number of landslides, maximum distance from fault rupture zone, and distance from epicenter when the fault plane location is unknown. For the available digital EQIL inventories, we examine the underlying characteristics of landslide size, topographic slope, roughness, local relief, distance to streams, peak ground acceleration, peak ground velocity, and Modified Mercalli Intensity. Also, we present an evaluation system to help users assess the suitability of the available inventories for different types of EQIL studies and model development.
Y1  - 2017
U6  - https://doi.org/10.1002/2017JF004236
SN  - 2169-9003
SN  - 2169-9011
VL  - 122
SP  - 1991
EP  - 2015
PB  - American Geophysical Union
CY  - Washington
ER  -