Exploring the sensitivity on a soil area-slope-grading relationship to changes in process parameters using a pedogenesis model
This paper generalises the physical dependence of the relationship between contributing area, local slope, and the surface soil grading using a pedogenesis model and allows an exploration of soilscape self-organisation. A parametric study was carried out using different parent materials, erosion, an...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-08-01
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Series: | Earth Surface Dynamics |
Online Access: | http://www.earth-surf-dynam.net/4/607/2016/esurf-4-607-2016.pdf |
Summary: | This paper generalises the physical dependence of the relationship between
contributing area, local slope, and the surface soil grading using a
pedogenesis model and allows an exploration of soilscape self-organisation. A
parametric study was carried out using different parent materials, erosion,
and weathering mechanisms. These simulations confirmed the generality of the
area-slope-<i>d</i><sub>50</sub> relationship. The relationship is also true for other
statistics of soil grading (e.g. <i>d</i><sub>10</sub>,<i>d</i><sub>90</sub>) and robust for different
depths within the profile. For small area-slope regimes (i.e. hillslopes with
small areas and/or slopes) only the smallest particles can be mobilised by
erosion and the area-slope-<i>d</i><sub>50</sub> relationship appears to reflect the
erosion model and its Shield's Stress threshold. For higher area-slope
regimes, total mobilization of the entire soil grading occurs and
self-organisation reflects the relative entrainment of different size
fractions. Occasionally the interaction between the in-profile weathering and
surface erosion draws the bedrock to the surface and forms a bedrock outcrop.
The study also shows the influence on different depth-dependent in-profile
weathering functions in the formation of the equilibrium soil profile and the
grading characteristics of the soil within the profile. We outline the
potential of this new model and its ability to numerically explore soil and
landscape properties. |
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ISSN: | 2196-6311 2196-632X |