Model:DrEICH algorithm: Difference between revisions
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|Other output format=float | |Other output format=float | ||
|Pre-processing software needed?=Yes | |Pre-processing software needed?=Yes | ||
|Describe pre-processing software=A chi analysis of the landscape must first be performed to get the correct m/n value for the landscape. This can be done using the chi analysis toolkit available on CSDMS ( | |Describe pre-processing software=A chi analysis of the landscape must first be performed to get the correct m/n value for the landscape. This can be done using the chi analysis toolkit available on CSDMS (https://csdms.colorado.edu/wiki/Model:Chi_analysis_tools). | ||
|Post-processing software needed?=No | |Post-processing software needed?=No | ||
|Visualization software needed?=No | |Visualization software needed?=No | ||
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|Describe key physical parameters and equations=There are two user-defined parameters which need to be defined in the model. | |Describe key physical parameters and equations=There are two user-defined parameters which need to be defined in the model. | ||
1) The m/n value. This parameter is in the steady state stream power equation for channel slope: | 1) The m/n value. This parameter is in the steady state stream power equation for channel slope: | ||
dz/dx = (U/K)^1/n * A(x)^(-m/n), where U is rock uplift rate, K is an erodibility coefficient, A is drainage area, and m and n are constants. The best fit m/n value for each landscape must be determined using the chi analysis toolkit ( | dz/dx = (U/K)^1/n * A(x)^(-m/n), where U is rock uplift rate, K is an erodibility coefficient, A is drainage area, and m and n are constants. The best fit m/n value for each landscape must be determined using the chi analysis toolkit (https://csdms.colorado.edu/wiki/Model:Chi_analysis_tools) before the DrEICH algorithm can be run. The routines in the chi analysis toolkit provide a statistical method of identifying the m/n value for the landscape. | ||
2) The number of linked pixels with a contour curvature > 0.1 m^-1. The first stage in the DrEICH algorithm is identifying valleys with positive curvature in which to run the model. A valley is selected to contain a channel head if there are more than a defined number of pixels in that valley with a contour curvature greater than 0.1. This parameter does not affect the location of the channel head within each valley, but does affect how many valleys will be selected. A default value of 10 is suggested, but this may need to vary depending on the relief of the landscape (a lower value of 5 may be more appropriate for lower-relief landscapes). | 2) The number of linked pixels with a contour curvature > 0.1 m^-1. The first stage in the DrEICH algorithm is identifying valleys with positive curvature in which to run the model. A valley is selected to contain a channel head if there are more than a defined number of pixels in that valley with a contour curvature greater than 0.1. This parameter does not affect the location of the channel head within each valley, but does affect how many valleys will be selected. A default value of 10 is suggested, but this may need to vary depending on the relief of the landscape (a lower value of 5 may be more appropriate for lower-relief landscapes). |
Revision as of 17:15, 19 February 2018
DrEICH algorithm
Metadata
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Introduction
History
References
Nr. of publications: | 3 |
Total citations: | 136 |
h-index: | 3 |
m-quotient: | 0.3 |
Publication(s) | Year | Type | Cited | |
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Error: Table AuthorsMan not found. . . , , . [[| (View/edit entry)]] | DrEICH algorithm | Model overview | Template:SEM 2105788513 | |
Error: Table AuthorsMan not found. . . , , . [[| (View/edit entry)]] | DrEICH algorithm | Model overview | Template:SEM 1976500081 | |
Error: Table AuthorsMan not found. . . , , . [[| (View/edit entry)]] | DrEICH algorithm | Model overview | Template:SEM 1974972166 |