D-Infinity Reverse Accumulation

Summary

This works in a similar way to evaluation of weighted Contributing area, except that the accumulation is by propagating the weight loadings upslope along the reverse of the flow directions to accumulate the quantity of weight loading downslope from each grid cell. The function also reports the maximum value of the weight loading downslope from each grid cell in the Maximum Downslope grid.

Usage

Command Prompt Syntax:


					mpiexec -n <number of processes> DinfRevAccum
					-ang <angfile>
					-wg <wgfile>
					-racc <raccfile>
					-dmax <dmaxfile>

Parameters:

angfile: Input Dinf flow direction grid
wgfile: Input weight grid
raccfile: Output reverse accumulation grid
dmaxfile: Output maximum downslope grid

Syntax

DInfReverseAccumulation (Input_D-Infinity_Flow_Direction_Grid, Input_Weight_Grid, Input_Number_of_Processes, Output_Reverse_Accumulation_Grid, Output_Maximum_Downslope_Grid)

Parameter	Explanation	Data Type
Input_D-Infinity_Flow_Direction_Grid	Dialog Reference A grid giving flow direction by the D-infinity method. Flow direction is measured in radians, counter clockwise from east. This is created by the function "Dinf flow directions". The algorithm is described in Tarboton, D. G., (1997), "A New Method for the Determination of Flow Directions and Contributing Areas in Grid Digital Elevation Models," Water Resources Research, 33(2): 309-319. There is no python reference for this parameter.	Raster Layer
Input_Weight_Grid	Dialog Reference A grid giving weights (loadings) to be used in the accumulation. There is no python reference for this parameter.	Raster Layer
Input_Number_of_Processes	Dialog Reference This input indicates the number of stripes that the domain will be divided into and the number of MPI parallel processes that will be spawned to evaluate each piece of the domain. There is no python reference for this parameter.	Long
Output_Reverse_Accumulation_Grid	Dialog Reference The grid giving the result of the "Reverse Accumulation" function. This works in a similar way to evaluation of weighted Contributing area, except that the accumulation is by propagating the weight loadings upslope along the reverse of the flow directions to accumulate the quantity of loading downslope from each grid cell. There is no python reference for this parameter.	Raster Dataset
Output_Maximum_Downslope_Grid	Dialog Reference The grid giving the maximum of the weight loading grid downslope from each grid cell. There is no python reference for this parameter.	Raster Dataset

Code Samples

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Title D-Infinity Reverse Accumulation