Articles | Volume 9, issue 3
https://doi.org/10.5194/esurf-9-577-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-9-577-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Rarefied particle motions on hillslopes – Part 2: Analysis
David Jon Furbish
CORRESPONDING AUTHOR
Department of Earth and Environmental Sciences, Vanderbilt University, Nashville, Tennessee, USA
Sarah G. W. Williams
Department of Earth and Environmental Sciences, Vanderbilt University, Nashville, Tennessee, USA
Danica L. Roth
Department of Earth Sciences, University of Oregon, Eugene, Oregon, USA
currently at: Department of Geology and Geological Engineering, Colorado School of Mines, Golden, Colorado, USA
Tyler H. Doane
Department of Earth and Environmental Sciences, Vanderbilt University, Nashville, Tennessee, USA
currently at: Department of Earth and Atmospheric Sciences, Indiana University, Bloomington, Indiana, USA
Joshua J. Roering
Department of Earth Sciences, University of Oregon, Eugene, Oregon, USA
Related authors
Sarah G. W. Williams and David J. Furbish
Earth Surf. Dynam., 9, 701–721, https://doi.org/10.5194/esurf-9-701-2021, https://doi.org/10.5194/esurf-9-701-2021, 2021
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Particle motions and travel distances prior to deposition on hillslope surfaces depend on a balance of gravitational and frictional forces. We elaborate how particle energy is partitioned and dissipated during travel using measurements of particle travel distances supplemented with high-speed imaging of drop–impact–rebound experiments. Results show that particle shape plays a dominant role in how energy is partitioned during impact with a surface and how far particles travel in two dimensions.
David Jon Furbish, Joshua J. Roering, Tyler H. Doane, Danica L. Roth, Sarah G. W. Williams, and Angel M. Abbott
Earth Surf. Dynam., 9, 539–576, https://doi.org/10.5194/esurf-9-539-2021, https://doi.org/10.5194/esurf-9-539-2021, 2021
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Sediment particles skitter down steep hillslopes on Earth and Mars. Particles gain speed in going downhill but are slowed down and sometimes stop due to collisions with the rough surface. The likelihood of stopping depends on the energetics of speeding up (heating) versus slowing down (cooling). Statistical physics predicts that particle travel distances are described by a generalized Pareto distribution whose form varies with the Kirkby number – the ratio of heating to cooling.
David Jon Furbish, Sarah G. W. Williams, and Tyler H. Doane
Earth Surf. Dynam., 9, 615–628, https://doi.org/10.5194/esurf-9-615-2021, https://doi.org/10.5194/esurf-9-615-2021, 2021
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The generalized Pareto distribution of particle travel distances on steep hillslopes, as described in two companion papers (Furbish et al., 2021a, 2021b), is a maximum entropy distribution. This simply represents the most probable way that a great number of particles become distributed into distance states, subject to a fixed total energetic cost due to frictional effects of particle–surface collisions. The maximum entropy criterion is equivalent to a formal application of Occam's razor.
David Jon Furbish and Tyler H. Doane
Earth Surf. Dynam., 9, 629–664, https://doi.org/10.5194/esurf-9-629-2021, https://doi.org/10.5194/esurf-9-629-2021, 2021
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Using analyses of particle motions on steep hillslopes in three companion papers (Furbish et al., 2021a, 2021b, 2021c), we offer philosophical perspective on the merits of a statistical mechanics framework for describing sediment particle motions and transport, and the implications of rarefied versus continuum transport conditions. We highlight the mechanistic yet probabilistic nature of the approach, and the importance of tailoring the style of thinking to the process and scale of interest.
Shawn M. Chartrand and David Jon Furbish
Earth Surf. Dynam. Discuss., https://doi.org/10.5194/esurf-2021-16, https://doi.org/10.5194/esurf-2021-16, 2021
Preprint withdrawn
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Sediment particles are transported along the bottom of rivers during floods. Descriptions of the transport process are commonly restricted to the strength of the water flow. In our research we use mathematical theory and data from laboratory experiments to explore whether sediment particles colliding with the river bed can help explain our observations of transport. We learn that particle collisions are likely an important component of the transport process and we offer thoughts for future work.
Nathaniel Klema, Leif Karlstrom, and Joshua Roering
EGUsphere, https://doi.org/10.5194/egusphere-2025-4431, https://doi.org/10.5194/egusphere-2025-4431, 2025
This preprint is open for discussion and under review for Earth Surface Dynamics (ESurf).
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Geomorphology is built on process models that take topographic geometry as inputs. However, many studies calculate these metrics on 2-d projections of topography rather than on true surfaces in 3-d space. In this work we apply classical surface theory to fluvial topography of the Oregon Coast Range, USA. This formal approach improves the accuracy of geometry calculations, extracts more information than standard methods, and sheds light on the organizational structure of landscapes.
Joshua J. Roering, Margaret Darrow, Annette Patton, and Aaron Jacobs
EGUsphere, https://doi.org/10.5194/egusphere-2025-4123, https://doi.org/10.5194/egusphere-2025-4123, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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A deadly landslide struck Wrangell Island, Alaska, in November 2023, traveling over a kilometer and claiming six lives. Our study shows it was likely triggered by moderate rainfall combined with rapid snowmelt and drainage from a ridgetop wetland, which saturated deep soil deposits. The landslide grew unusually large as it entrained abundant soil downslope. Findings highlight the role of storm patterns, geology, and hydrology in driving future landslide hazards in SE Alaska.
Ian D. Wachino, Joshua J. Roering, Reuben Cash, and Annette I. Patton
EGUsphere, https://doi.org/10.5194/egusphere-2025-1168, https://doi.org/10.5194/egusphere-2025-1168, 2025
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Rockfalls are a common hazard in steep mountain valleys, especially near Skagway, Alaska, where recent events have threatened public safety and infrastructure. This study identifies zones prone to rockfall by analyzing rock formations, past rockfall deposits, and computer models predicting how rocks travel downslope. Our findings highlight high-risk areas and provide insights to improve hazard mitigation, helping protect communities and tourism in the region.
Hayden L. Jacobson, Danica L. Roth, Gabriel Walton, Margaret Zimmer, and Kerri Johnson
Earth Surf. Dynam., 12, 1415–1446, https://doi.org/10.5194/esurf-12-1415-2024, https://doi.org/10.5194/esurf-12-1415-2024, 2024
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Loose grains travel farther after a fire because no vegetation is left to stop them. This matters since loose grains at the base of a slope can turn into a debris flow if it rains. To find if grass growing back after a fire had different impacts on grains of different sizes on slopes of different steepness, we dropped thousands of natural grains and measured how far they went. Large grains went farther 7 months after the fire than 11 months after, and small grain movement didn’t change much.
Greg Balco, Alan J. Hidy, William T. Struble, and Joshua J. Roering
Geochronology, 6, 71–76, https://doi.org/10.5194/gchron-6-71-2024, https://doi.org/10.5194/gchron-6-71-2024, 2024
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We describe a new method of reconstructing the long-term, pre-observational frequency and/or intensity of wildfires in forested landscapes using trace concentrations of the noble gases helium and neon that are formed in soil mineral grains by cosmic-ray bombardment of the Earth's surface.
Annette I. Patton, Lisa V. Luna, Joshua J. Roering, Aaron Jacobs, Oliver Korup, and Benjamin B. Mirus
Nat. Hazards Earth Syst. Sci., 23, 3261–3284, https://doi.org/10.5194/nhess-23-3261-2023, https://doi.org/10.5194/nhess-23-3261-2023, 2023
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Landslide warning systems often use statistical models to predict landslides based on rainfall. They are typically trained on large datasets with many landslide occurrences, but in rural areas large datasets may not exist. In this study, we evaluate which statistical model types are best suited to predicting landslides and demonstrate that even a small landslide inventory (five storms) can be used to train useful models for landslide early warning when non-landslide events are also included.
William T. Struble and Joshua J. Roering
Earth Surf. Dynam., 9, 1279–1300, https://doi.org/10.5194/esurf-9-1279-2021, https://doi.org/10.5194/esurf-9-1279-2021, 2021
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We used a mathematical technique known as a wavelet transform to calculate the curvature of hilltops in western Oregon, which we used to estimate erosion rate. We find that this technique operates over 1000 times faster than other techniques and produces accurate erosion rates. We additionally built artificial hillslopes to test the accuracy of curvature measurement methods. We find that at fast erosion rates, curvature is underestimated, raising questions of measurement accuracy elsewhere.
Sarah G. W. Williams and David J. Furbish
Earth Surf. Dynam., 9, 701–721, https://doi.org/10.5194/esurf-9-701-2021, https://doi.org/10.5194/esurf-9-701-2021, 2021
Short summary
Short summary
Particle motions and travel distances prior to deposition on hillslope surfaces depend on a balance of gravitational and frictional forces. We elaborate how particle energy is partitioned and dissipated during travel using measurements of particle travel distances supplemented with high-speed imaging of drop–impact–rebound experiments. Results show that particle shape plays a dominant role in how energy is partitioned during impact with a surface and how far particles travel in two dimensions.
David Jon Furbish, Joshua J. Roering, Tyler H. Doane, Danica L. Roth, Sarah G. W. Williams, and Angel M. Abbott
Earth Surf. Dynam., 9, 539–576, https://doi.org/10.5194/esurf-9-539-2021, https://doi.org/10.5194/esurf-9-539-2021, 2021
Short summary
Short summary
Sediment particles skitter down steep hillslopes on Earth and Mars. Particles gain speed in going downhill but are slowed down and sometimes stop due to collisions with the rough surface. The likelihood of stopping depends on the energetics of speeding up (heating) versus slowing down (cooling). Statistical physics predicts that particle travel distances are described by a generalized Pareto distribution whose form varies with the Kirkby number – the ratio of heating to cooling.
David Jon Furbish, Sarah G. W. Williams, and Tyler H. Doane
Earth Surf. Dynam., 9, 615–628, https://doi.org/10.5194/esurf-9-615-2021, https://doi.org/10.5194/esurf-9-615-2021, 2021
Short summary
Short summary
The generalized Pareto distribution of particle travel distances on steep hillslopes, as described in two companion papers (Furbish et al., 2021a, 2021b), is a maximum entropy distribution. This simply represents the most probable way that a great number of particles become distributed into distance states, subject to a fixed total energetic cost due to frictional effects of particle–surface collisions. The maximum entropy criterion is equivalent to a formal application of Occam's razor.
David Jon Furbish and Tyler H. Doane
Earth Surf. Dynam., 9, 629–664, https://doi.org/10.5194/esurf-9-629-2021, https://doi.org/10.5194/esurf-9-629-2021, 2021
Short summary
Short summary
Using analyses of particle motions on steep hillslopes in three companion papers (Furbish et al., 2021a, 2021b, 2021c), we offer philosophical perspective on the merits of a statistical mechanics framework for describing sediment particle motions and transport, and the implications of rarefied versus continuum transport conditions. We highlight the mechanistic yet probabilistic nature of the approach, and the importance of tailoring the style of thinking to the process and scale of interest.
Tyler H. Doane, Jon D. Pelletier, and Mary H. Nichols
Earth Surf. Dynam., 9, 317–331, https://doi.org/10.5194/esurf-9-317-2021, https://doi.org/10.5194/esurf-9-317-2021, 2021
Short summary
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This paper explores how the geometry of rill networks contributes to observed nonlinear relationships between soil loss and hillslope length. This work develops probability functions of geometrical quantities of the networks and then extends the theory to hydraulic variables by relying on well-known relationships. Theory is complemented by numerical modeling on numerical and natural surfaces. Results suggest that the particular arrangement of rill networks contributes to nonlinear relationships.
Shawn M. Chartrand and David Jon Furbish
Earth Surf. Dynam. Discuss., https://doi.org/10.5194/esurf-2021-16, https://doi.org/10.5194/esurf-2021-16, 2021
Preprint withdrawn
Short summary
Short summary
Sediment particles are transported along the bottom of rivers during floods. Descriptions of the transport process are commonly restricted to the strength of the water flow. In our research we use mathematical theory and data from laboratory experiments to explore whether sediment particles colliding with the river bed can help explain our observations of transport. We learn that particle collisions are likely an important component of the transport process and we offer thoughts for future work.
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Short summary
The generalized Pareto distribution of particle travel distances on steep hillslopes, as described in a companion paper (Furbish et al., 2021a), is entirely consistent with measurements of travel distances obtained from laboratory and field-based experiments, supplemented with high-speed imaging and audio recordings that highlight the effects of bumpety-bump particle motions. Particle size and shape, in concert with surface roughness, strongly influence particle energetics and deposition.
The generalized Pareto distribution of particle travel distances on steep hillslopes, as...