Model:Drainage Density

Drainage Density

Also known as	Landlab Drainage Density tool
Model type	Tool
Model part of larger framework	LandLab
Note on status model
Date note status model

Incorporated models or components:

Spatial dimensions	2D
Spatial extent	Continental, Landscape-Scale, Reach-Scale, Regional-Scale, Watershed-Scale
Model domain	Terrestrial
One-line model description	Component for calculating drainage density in Landlab given a channel network
Extended model description	The Landlab Drainage Density component calculates landscape-averaged drainage density, defined as the inverse of the mean distance from any pixel to the nearest channel. The component follows the approach defined in Tucker et al (2001, Geomorphology). The drainage density component does not find channel heads, but takes a user-defined channels mask.

Keywords:	Drainage Density, Landscape Morphology, Morphometry,

Name	Charles Shobe
Type of contact	Model developer
Institute / Organization	Department of Geological Sciences, University of Colorado
Postal address 1	UCB 399
Postal address 2
Town / City	Boulder
Postal code	80309-0399
State	Colorado
Country	United States
Email address	charles.shobe@colorado.edu
Phone
Fax

Supported platforms	Unix, Linux, Mac OS, Windows
Other platform
Programming language	Python
Other program language
Code optimized	Single Processor
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development	2016
Does model development still take place?	No
If above answer is no, provide end year model development	2016
Code development status	Active
When did you indicate the 'code development status'?	2020
Model availability	As code
Source code availability (Or provide future intension)	Through web repository
Source web address	https://github.com/landlab/landlab/tree/master/landlab/components/drainage_density
Source csdms web address
Program license type	BSD or MIT X11
Program license type other
Memory requirements	Dependent on size/resolution of model grid
Typical run time	Reasonably fast (seconds to minutes), but dependent on size/resolution of model grid

Describe input parameters	Parameters ---------- grid : ModelGrid channel__mask : Array that holds 1's where channels exist and 0's elsewhere area_coefficient : coefficient to multiply drainage area by, for calculating channelization threshold slope_coefficient : coefficient to multiply slope by, for calculating channelization threshold area_exponent : exponent to raise drainage area to, for calculating channelization threshold slope_exponent : exponent to raise slope to, for calculating channelization threshold channelization_threshold : threshold value above which channels exist
Input format
Other input format	Arguments are passed to the component within Landlab
Describe output parameters	[[Describe output parameters model::surface_to_channel__minimum_distance : [Length] The shortest path between each model grid node and the nearest channel. This is returned as a Landlab grid field.]]
Output format
Other output format	Landlab grid field
Pre-processing software needed?	Yes
Describe pre-processing software	Though the component can use a simple slope-area threshold to delineate channels, it is much more preferable to use some channel-head extraction method like those of Passalacqua et al (2010, Journal of Geophysical Research), Pelletier (2013, Water Resources Research), or Clubb et al (2014, Water Resources Research).
Post-processing software needed?	No
Describe post-processing software
Visualization software needed?	No
If above answer is yes
Other visualization software

Describe processes represented by the model	n/a
Describe key physical parameters and equations	Drainage density is calculated as the inverse of the minimum distance to channel averaged over all nodes in the Landlab domain.
Describe length scale and resolution constraints	Very little constraint; runs quickly on large grids.
Describe time scale and resolution constraints	n/a
Describe any numerical limitations and issues

Describe available calibration data sets
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Describe available test data sets
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Describe ideal data for testing

Do you have current or future plans for collaborating with other researchers?

Is there a manual available?	No
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