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James (Jake) Gearon
Investigating sedimentary landscapes through the lens of data science and remote sensing
Posts
publications
Geomorphic controls on shrub canopy volume and spacing
Landscape Ecology, 2020
The largest analysis of creosote bush distributions to date.
The supply-generated sequence: A unified sequence-stratigraphic model
Journal of Sedimentary Research, 2022
This paper introduces a new sequence stratigraphic concept for lacustrine systems.
Increased sediment connectivity between deltas and deep-water fans in closed lake basins
Sedimentary Geology, 2023
A case study from Bozhong Sag, Bohai Bay Basin, China
Topographic roughness as an emergent property of geomorphic processes and events
AGU Advances, 2024
This paper explores how topographic roughness emerges from geomorphic processes.
Martian chaos terrain fracture geometry indicates drainage and compaction of laterally heterogeneous confined aquifers
Icarus, 2024
Analysis of Martian terrain features and their implications for aquifer systems
Rules of river avulsion change downstream
Nature, 2024
This paper presents a novel theoretical framework for predicting river avulsions.
random-musings
A Dimensionless Analysis Of The Shear Stress Ratio On An Alluvial Ridge
- Dimensionless Parameters Definition:
- $ \beta = \frac{H_r}{H_c} $ is the ratio of the ridge height ( $ H_r $ ) to the channel depth ( $ H_c $ ). It measures how tall the ridge is compared to the depth of the flow that erodes it. A larger $ \beta $ means that the ridge is higher and has more elevation difference with the channel. This increases the shear stress on the ridge, as more potential energy is converted into kinetic energy by gravity. A smaller $ \beta $ means that the ridge is lower and has less elevation difference with the channel. This decreases the shear stress on the ridge, as less potential energy is converted into kinetic energy by gravity.
- $ \gamma = \frac{S_r}{S_c} $ is the ratio of the ridge slope ( $ S_r $ ) to the channel slope ( $ S_c $ ). It measures how steep the ridge is compared to the slope of the flow that erodes it. A larger γ means that the ridge is steeper and has more resistance to erosion. This increases the shear stress on the ridge, as more frictional force is generated between sediment particles and water molecules. A smaller $ \gamma $ means that the ridge is gentler and has less resistance to erosion. This decreases the shear stress on the ridge, as less frictional force is generated between sediment particles and water molecules.
Derivation Of Softmax Random Walk Algorithm
Supplementary Method
Objective:
To compute the probability of moving from a current position $ (x, y) $ to a neighboring position $ (i, j) $ by blending terrain slope and movement inertia, considering valid data and avoiding immediate return to the last position.