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 (http://csdms.colorado.edu/wiki/Model:Chi_analysis_tools). | |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 (http://csdms.colorado.edu/wiki/Model:Chi_analysis_tools). | ||
|Post-processing software needed?=No | |Post-processing software needed?=No | ||
|Describe post-processing software= | |Describe post-processing software= | ||
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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 (http://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. | 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 (http://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). | ||
|Describe length scale and resolution constraints=This algorithm attempts to identify channel head, which are features present on a metre to sub-metre scale. Therefore, the accuracy of the prediction will decrease as the DEM resolution becomes coarser. 1 to 2m resolution DEMs are suggested as appropriate for use with this tool. | |Describe length scale and resolution constraints=This algorithm attempts to identify channel head, which are features present on a metre to sub-metre scale. Therefore, the accuracy of the prediction will decrease as the DEM resolution becomes coarser. 1 to 2m resolution DEMs are suggested as appropriate for use with this tool. | ||
|Describe time scale and resolution constraints=No time resolution constraints as this software performs topographic analysis. | |Describe time scale and resolution constraints=No time resolution constraints as this software performs topographic analysis. |
Revision as of 07:21, 27 May 2014
DrEICH algorithm
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