Surface processes parameters#
Stream Power Law parameters#
Declaration example:
spl:
K: 3.e-8
d: 0.42
m: 0.4
G: 1.
This part of the input file define the parameters for the fluvial surface processes based on the Stream Power Law (SPL) and is composed of:
Krepresenting the erodibility coefficient which is scale-dependent and its value depend on lithology and mean precipitation rate, channel width, flood frequency, channel hydraulics. It is used in the SPL law: \(E = K (\bar{P}A)^m S^n\)
The following parameters are optional:
Studies have shown that the physical strength of bedrock which varies with the degree of chemical weathering, increases systematically with local rainfall rate. Following Murphy et al. (2016), the stream power equation could be adapted to explicitly incorporate the effect of local mean annual precipitation rate, P, on erodibility: \(E = (K_i P^d) (\bar{P}A)^m S^n\).
d(\(d\) in the equation) is a positive exponent that has been estimated from field-based relationships to 0.42. Its default value is set to 0.0mis the coefficient from the SPL law: \(E = K (\bar{P}A)^m S^n\) and takes the default value of 0.5.
Note
It is worth noting that the coefficient n in the SPL is fixed and take the value 1.
Gdimensionless deposition coefficient for continental domain when accounting for sedimentation rate in the SPL following the model of Yuan et al, 2019. The default value is 0.0 (purely detachment-limited model).
Hillslope and marine deposition parameters#
Declaration example:
diffusion:
hillslopeKa: 0.02
hillslopeKm: 0.2
nonlinKm: 500.0
clinSlp: 5.e-5
Hillslope processes in goSPL is defined using a classical diffusion law in which sediment deposition and erosion depend on slopes (simple creep). The marine deposition of freshly deposited sediments by rivers is obtained using a non-linear diffusion and the following parameters can be tuned based on your model resolution:
hillslopeKais the diffusion coefficient for the aerial domain,hillslopeKmis the diffusion coefficient for the marine domain,nonlinKmis the transport coefficient of freshly deposited sediments entering the ocean from rivers (non-linear diffusion),clinSlpis the maximum slope of clinoforms (needs to be positive), this slope is then used to estimate the top of the marine deposition based on distance to shore.
Sediment surface erodibility factor#
Declaration example:
sedfactor:
- start: 200000.
uniform: 3
- start: 400000.
map: ['facEro','fsed']
One could choose to impose variable erodibility factors through space and time to reflect different surficial rock composition. For example, those maps could be set to represent different rock erodibility index as proposed in Mossdorf et al. (2018). The factor are then used in front of the erodibility coefficient (K in the SPL).
Important
When defining your variable erodibility factors grid, you needs to use the npz format and your factors would be specified by a key corresponding to the factor values for each vertice of the mesh. In the above example this key is 'fsed'.
Compaction & porosity variables definition#
Declaration example:
compaction:
phis: 0.49
z0s: 3700.0
We assume a depth-porosity relationship for the sediment compaction based on the following parameters:
porosity at the surface
phis, default value is set to 0.49,e-folding depth
z0s(in metres), default value is set to 3700.
Note
See the technical documentation for more information.