SAGA 9.3.3 | Tool Library Documentation

Concentration


Description

Cellular automata are simple computational operators, but despite their simplicity, they allow the simulation of highly complex processes. This tool has been created to apply the concept of cellular automata to simulate diffusion and flow processes in shallow water bodies with in- and outflow, where monitoring data show concentration growth or decrease between the inflow and the outflow points. Parameters are for example nutrients like nitrate, which is reduced by denitrification process inside the water body. Values of mask grid are expected to be 1 for water area, 2 for inlet, 3 for outlet and 0 for non water.


References


Parameters

 NameTypeIdentifierDescriptionConstraints
InputMaskgrid, inputMASK--
Gradientgrid, inputGRAD--
OutputConcentrationgrid, outputCONC--
OptionsGrid Systemgrid systemPARAMETERS_GRID_SYSTEM--
Inlet Concentrationfloating point numberCONC_IN-Minimum: 0.000000 Default: 5.000000
Outlet Concentrationfloating point numberCONC_OUT-Minimum: 0.000000 Default: 3.000000
Concentration Approximation Thresholdfloating point numberCONC_E-Minimum: 0.000000 Default: 0.001000
Minimum Gradientfloating point numberGRAD_MIN-Minimum: 0.000000 Default: 0.000000
NeighbourhoodchoiceNEIGHBOURS-Available Choices: [0] Moore (8) [1] Neumann (4) [2] Optimised Default: 0

Command Line


Usage: saga_cmd sim_hydrology 6 [-MASK ] [-GRAD ] [-CONC ] [-CONC_IN ] [-CONC_OUT ] [-CONC_E ] [-GRAD_MIN ] [-NEIGHBOURS ]
  -MASK:       	Mask
	grid, input
  -GRAD:       	Gradient
	grid, input
  -CONC:       	Concentration
	grid, output
  -CONC_IN: 	Inlet Concentration
	floating point number
	Minimum: 0.000000
	Default: 5.000000
  -CONC_OUT:	Outlet Concentration
	floating point number
	Minimum: 0.000000
	Default: 3.000000
  -CONC_E:  	Concentration Approximation Threshold
	floating point number
	Minimum: 0.000000
	Default: 0.001000
  -GRAD_MIN:	Minimum Gradient
	floating point number
	Minimum: 0.000000
	Default: 0.000000
  -NEIGHBOURS: 	Neighbourhood
	choice
	Available Choices:
	[0] Moore (8)
	[1] Neumann (4)
	[2] Optimised
	Default: 0