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Related papers: A granular scaling approach to landslide runout

200 papers

Global warming is projected to intensify the hydrological cycle, amplifying risks to ecosystems and society. While extreme rainfall appears to exhibit stronger sensitivity to global warming compared to mean rainfall rates, a unifying…

Atmospheric and Oceanic Physics · Physics 2026-01-13 Jun Yin , Bei Gao , Amilcare Porporato

Binary mixtures of dry grains avalanching down a slope are experimentally studied in order to determine the interaction among coarse and fine grains and their effect on the deposit morphology. The distance travelled by the massive front of…

As a result of extreme weather conditions, such as heavy precipitation, natural hillslopes can fail dramatically; these slope failures can occur on a dry day due to time lags between rainfall and pore-water pressure change at depth, or even…

Disordered Systems and Neural Networks · Physics 2023-07-19 Vrinda Desai , Farnaz Fazelpour , Alexander L. Handwerger , Karen E. Daniels

The dynamics of a hollow cylinder containing granules and rolling down an inclined plane was investigated. A theoretical approach for investigating the behaviour of such a cylinder was proposed. The critical angle of the plane that allows…

Physics Education · Physics 2014-01-20 Edy Wibowo , Sutisna , Mamat Rokhmat , Elfi Yuliza , Khairurrijal , Mikrajuddin Abdullah

Landslide monitoring is essential for understanding geohazards and mitigating associated risks. Existing point cloud-based methods, however, typically rely on either geometric or radiometric information and often yield sparse or non-3D…

Computer Vision and Pattern Recognition · Computer Science 2026-01-12 Zhaoyi Wang , Jemil Avers Butt , Shengyu Huang , Tomislav Medic , Andreas Wieser

Landslides are a common natural disaster that can cause casualties, property safety threats and economic losses. Therefore, it is important to understand or predict the probability of landslide occurrence at potentially risky sites. A…

Machine Learning · Computer Science 2023-09-15 Cheng Chen , Lei Fan

The rarity of large landslides reduces the number of observations and hinders the understanding of these phenomena. Runout distance was used here to determine whether the large landslide deposit formed several thousand years ago in northern…

Geophysics · Physics 2020-11-20 Julien Gargani

Landslides pose severe threats to infrastructure, economies, and human lives, necessitating accurate detection and predictive mapping across diverse geographic regions. With advancements in deep learning and remote sensing, automated…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Rahul A. Burange , Harsh K. Shinde , Omkar Mutyalwar

Inhomogeneities in deposition may lead to formation of rough surfaces, whose height fluctuations can be probed directly by scanning microscopy, or indirectly by scattering. Analytical or numerical treatments of simple growth models suggest…

Condensed Matter · Physics 2009-10-28 Mehran Kardar

In this paper we propose a two-dimensional (2D) computational model, based on a molecular dynamics (MD) approach, for deep landslides triggered by rainfall. Our model is based on interacting particles or grains and describes the behavior of…

Geophysics · Physics 2012-09-25 Gianluca Martelloni , Franco Bagnoli

Geographical research was successfully quantified through the quantitative revolution of geography. However, the succeeding theorization of geography encountered insurmountable difficulties. The largest obstacle of geography's theorization…

Physics and Society · Physics 2020-01-29 Yanguang Chen

We investigate the effect of a forest of pillars on a granular layer steadily flowing over a rough inclined plane. We quantify experimentally how the steady flow rate of grains is affected by the inter-pillars distance for different layer…

Soft Condensed Matter · Physics 2024-05-14 Baptiste Darbois Texier , Yann Bertho , Philippe Gondret

The entrainment of underlying erodible material by geophysical flows can significantly boost the flowing mass and increase the final deposition extent. The particle size of both the flowing material and the erodible substrate influence the…

Geophysics · Physics 2021-09-20 Eranga Dulanjalee , François Guillard , James Baker , Benjy Marks

Submarine landslides transport thousands of cubic meters of sediment across continental shelves even at slopes as low as 1{\deg} and can cause significant casualty and damage to infrastructure. The run-out mechanism in a submarine landslide…

Geophysics · Physics 2020-11-09 Qiuyu Wang , Reihaneh Hosseini , Krishna Kumar

Basal effects have important implications for the high mobility and long runout of granular flows such as rock avalanches and landslides. However, fundamental understanding of the basal effect in granular flows remains challenging due to…

Geophysics · Physics 2021-11-02 Shuocheng Yang , Lu Jing , Chung Yee Kwok , Gengchao Yang , Yuri Dumaresq Sobral

In nature, submarine slope failures usually carry thousands of cubic-meters of sediments across extremely long distances and cause tsunamis and damages to offshore structures. This paper uses the granular column collapse experiment to…

Geophysics · Physics 2021-08-31 Qiuyu Wang , Reihaneh Hosseini , Krishna Kumar

Shearing with a finite shear rate a compressed granular system results in a region of grains flowing over a compact, static assembly. Perforce this region is dilated to a degree that depends on the shear rate, the loading pressure, gravity,…

Statistical Mechanics · Physics 2019-05-29 Prasenjit Das , H. George E. Hentschel , Itamar Procaccia

The mesoscale structure of aeolian sand transport determines a variety of natural phenomena studied in planetary and Earth science. We analyze it theoretically beyond the mean-field level, based on the grain-scale transport kinetics and…

Soft Condensed Matter · Physics 2017-12-06 Marc Lämmel , Klaus Kroy

This paper deals with the experimental characterization of the collapse of wet granular columns in the pendular state, with the purpose of collecting data on triggering and jamming phenomena in wet granular media. The final deposit shape…

Soft Condensed Matter · Physics 2014-01-10 Riccardo Artoni , Andrea C. Santomaso , Fabio Gabrieli , Diego Tono , Simonetta Cola

Outlier detection algorithms typically assign an outlier score to each observation in a dataset, indicating the degree to which an observation is an outlier. However, these scores are often not comparable across algorithms and can be…

Machine Learning · Computer Science 2024-10-31 Philipp Röchner , Henrique O. Marques , Ricardo J. G. B. Campello , Arthur Zimek , Franz Rothlauf