TY - GEN
T1 - Regional-scale modelling of liquefaction-induced shallow landslides in unsaturated slopes
AU - Li, Xiang
AU - Song, Zhichen
AU - Lizárraga, José J.
AU - Buscarnera, Giuseppe
N1 - Funding Information:
This work was supported by Grant No. CMMI-1324834 awarded by the US National Science Foundation
Publisher Copyright:
© 2019 Debris-Flow Hazards Mitigation: Mechanics, Monitoring, Modeling, and Assessment - Proceedings of the 7th International Conference on Debris-Flow Hazards Mitigation. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Regional modelling of rainfall-induced landslide triggering poses several technical challenges. These events can originate from a number of hydro-mechanical processes, such as soil-strength degradation, development of localized zones of pore-water pressures, liquefaction, among others. At the same time, the interplay between the spatial variability of topographic attributes, soil properties and transient infiltration can lead to a widespread distribution of distinct slope failure mechanisms across the same landscape. To this aim, this contribution describes a simulation platform for the efficient generation of storm-induced, landslide susceptibility maps in which different slope instability mechanisms can be considered. The framework relies on a vectorized finite element (FE) algorithm that performs fully-coupled simulations of transient infiltration in unsaturated soils, while input and output processing stages are linked to a Geographical Information System. To illustrate the capabilities of the proposed framework, the role of several hydro-mechanical processes on the inception of slope instability are first explored (i.e., coupled flow-deformation analyses, constitutive couplings). After this, results of regional-scale simulations are presented, where it is shown that such considerations can affect the computed spatio-temporal patterns of landslide triggering. Lastly, approaches to incorporate uncertainty of input data into landslide susceptibility zonation by using spatially-correlated random fields are discussed. The proposed framework provides an important step towards the development of robust, physically-based models for regional landslide hazard assessment.
AB - Regional modelling of rainfall-induced landslide triggering poses several technical challenges. These events can originate from a number of hydro-mechanical processes, such as soil-strength degradation, development of localized zones of pore-water pressures, liquefaction, among others. At the same time, the interplay between the spatial variability of topographic attributes, soil properties and transient infiltration can lead to a widespread distribution of distinct slope failure mechanisms across the same landscape. To this aim, this contribution describes a simulation platform for the efficient generation of storm-induced, landslide susceptibility maps in which different slope instability mechanisms can be considered. The framework relies on a vectorized finite element (FE) algorithm that performs fully-coupled simulations of transient infiltration in unsaturated soils, while input and output processing stages are linked to a Geographical Information System. To illustrate the capabilities of the proposed framework, the role of several hydro-mechanical processes on the inception of slope instability are first explored (i.e., coupled flow-deformation analyses, constitutive couplings). After this, results of regional-scale simulations are presented, where it is shown that such considerations can affect the computed spatio-temporal patterns of landslide triggering. Lastly, approaches to incorporate uncertainty of input data into landslide susceptibility zonation by using spatially-correlated random fields are discussed. The proposed framework provides an important step towards the development of robust, physically-based models for regional landslide hazard assessment.
KW - Distributed modelling
KW - Flowslides
KW - Infiltration
KW - Shallow landslides
KW - Spatial uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85078104741&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85078104741&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85078104741
T3 - Debris-Flow Hazards Mitigation: Mechanics, Monitoring, Modeling, and Assessment - Proceedings of the 7th International Conference on Debris-Flow Hazards Mitigation
SP - 369
EP - 376
BT - Debris-Flow Hazards Mitigation
A2 - Kean, Jason W.
A2 - Coe, Jeffrey A.
A2 - Santi, Paul M.
A2 - Guillen, Becca K.
PB - Association of Environmental and Engineering Geologists
T2 - 7th International Conference on Debris-Flow Hazards Mitigation: Mechanics, Monitoring, Modeling, and Assessment
Y2 - 10 June 2019 through 13 June 2019
ER -