SWMM56

Subject:    Convolution   of  the  RDII   UH  from R, T and K in SWMM 5 The  convolution  uses the value  of  R and the Time Base to estimate the amount  of  Infiltration and Inflow in the Sewer Network.  The short, medium and long term  UH 's are estimated at each Wet Hydrology time step to make a smooth hydrograph out  of  the R, T and  K parameters  of  the Rainfall Dependent Infiltration and Infiltration Method (Figure 1).  The three  UH 's can be displaced as well if you use the RTK storage parameters (Figure 2) Figure 1.   The short, medium and long  UH 's are convoluted in SWMM 5 from the Rainfall Time Series. Figure 2.    The Initial Abstraction Depth can be used to shift the generated  UH  in time or reduce the peak flow and total volumes. c.

Subject:   Convolution of the RDII UH from R, T and K in SWMM 5 Convolution of the RDII UH from R, T and K in SWMM 5 by  dickinsonre Subject:   Convolution of the R DII UH from R, T and K in SWMM 5 The convolution uses the value of R and the Time Base to estimate the amount of Infiltration and Inflow in the Sewer Network.  The short, medium and long term UH's are estimated at each Wet Hydrology time step to make a smooth hydrograph out of the R, T and  K parameters of the Rainfall Dependent Infiltration and Infiltration Method (Figure 1).  The three UH's can be displaced as well if you use the RTK storage parameters (Figure 2) Figure 1.   The short, medium and long UH's are convoluted in SWMM 5 from the Rainfall Time Series. Figure 2.    The Initial Abstraction Depth can be used to shift the generated UH in time or reduce the pea...