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From CSDMS
Edinburgh +
United Kingdom +
University of Edinburgh +
School of GeoSciences +
Drummond Street +
EH8 9XP +
NO STATE +
Model developer +
No but possible +
No but possible +
No but possible +
Single Processor +
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13:26:36, 6 September 2013 +
Topographic analysis: no calibration required. +
There are 3 datasets within this repositor … There are 3 datasets within this repository. One from Southwest Pennsylvania, one from the Apennines in Italy, and one from a CHILD model run. Datasets are the same as those run with the associated manuscript (http://www.geos.ed.ac.uk/homes/smudd/Muddetal_JGRsubmit.pdf) so users can compare results with figures from the manuscript. results with figures from the manuscript. +
Any bedrock channel profile. Module is intended for use on topographic data. +
The input is a 'channel file' and a 'drive … The input is a 'channel file' and a 'driver file'. The channel file contains data on channel profiles within a channel network composed of a main stem and tributaries flowing into that main stem (that is, there are no tributaries of tributaries). The driver file contains parameters for the model run. The format of these files is described in the documentation that accompanies the model source code.on that accompanies the model source code. +
Topographic analysis so no physical parame … Topographic analysis so no physical parameters as such. The main parameters fro the module are:</br>1) sigma: the uncertainty (in metres, or meters for you yanks), of the topographic data.</br>2) The target nodes: These are the number of nodes you wish to use in each subset of the channel. For details see associated documentation. This should vary between 60-140. The module partitions data and the number of partitions is a highly nonlinear function of the number of nodes so target node values of >150 will lead to compute times of many months - forever. </br>3) The minimum segment length: The shortest contiguous number of nodes the user is willing to consider for statistical analysis (in testing, 8-20 performed reasonably well). If you chose 2 you will be performing linear analysis on segments with 2 data points which is clearly nonsense. </br>4) Mean skip: See associated documentation, but the module uses a Monte Carlo sampling regime which skips nodes, analyses a subset of data, and then performs this skipping and analysis routine over a number of iterations. For SRTM and ASTER data this should be 1-2. For 10m data it can be 1-10, and for LiDAR data you could skip up to 100 nodes. Note that because of the iterative processes you will need to increase the number of iterations as you increase the skip value if you are to sample all of the data.p value if you are to sample all of the data. +
With reasonable parameter values channel networks with individual channel of ~1000 nodes will take a few to 10s of minutes to analyse. The longer the channel network, the longer the analysis. +
See documentation. The major limitation is computational time. This can be alleviated with sensible selection of module parameters. See documentation for guidance. +
The outputs are
i) For chi_m_over_n_analys … The outputs are</br>i) For chi_m_over_n_analysis.exe, a *.movern file that contains information about the goodness of fit of channel profiles to a series of linear segments as a function of the m/n ratio: this file is used to determine the best fit m/n ratio of a channel network. </br>ii) For chi_get_profiles.exe, a series of *.tree files which contain information about the best fit channel segments in chi-elevation space. This data can be used to infer erosion rates, tectonics, or variations in erodibility., tectonics, or variations in erodibility. +
Channel profile data must be prepared to meed the specifications of the *.chan file. The format of this file is described in the documentation provided with the source code. +
The module performs topographic analysis but the analysis is based on the assumption that the stream power incision model is a good approximation for channel incision. +
Topographic analysis so no time scale constraints. +
This tool is used for examining bedrock ch … This tool is used for examining bedrock channels. The tool is based on the assumption that the stream power incision model (SPIM) adequately describes channel incision. Channels profiles are converted to chi-elevation space, where chi is a transformed longitudinal coordinate that takes drainage area into account. The tool uses a variety of statistical tests to extract the most likely series of segments with distinct steepness in chi-elevation space. It also performs statistical tests to determine the best fit m/n ratio, where m is an area (A) exponent and n is a slope (S) exponent in the SPIM with E = K A^m S^n, where E is an erosion rate and K is an 'erodibility'.an erosion rate and K is an 'erodibility'. +
Simon +
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ASCII +
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0.08 +
Depends on the size of your DEM +
Terrestrial +
Channel segment finder +
tool +, analysis +, channel +, examining +, examining bedrock channels +, examining bedrock +, bedrock channels +, adequately describes channel +, chi-elevation space +, describes channel incision +, power incision model +, stream power incision +, statistical tests +, spim +, channel incision +, space +, incision model +, describes channel +, geomorphology +, bedrock channel erosion +, topographic analysis + and chi analysis tools +
As code +
Single +
Modification date"Modification date" is a predefined property that corresponds to the date of the last modification of a subject and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
02:15:46, 17 September 2020 +
1 +
Tool for examining channel profiles in chi-elevation space using the integral method of channel analysis +
ASCII +
School of GeoSciences +
Drummond Street +
EH8 9XP +
false +
true +
GPL v2 +
A few minutes to several days depending on parameters and DEM size +
Through CSDMS repository +
https://github.com/csdms-contrib/chi_analysis_tools +
1.5D +
2012 +
Model developer +
