baseflowA function

Baseflow removal (after Fuka et al. 2018)

Baseflow removal (after Fuka et al. 2018)

This function calculates baseflow using a recursive digital filter and is based on the implementation in the EcoHydRology package.

The formulation is originally after Lyne and Hollick (1979) and described in Furey and Gupta (2001). Recommended parameters are after Nathan and McMahon (1990).

baseflowA(q, alpha = 0.925, passes = 3)

Arguments

  • q: The vector series of streamflow
  • alpha: Filter parameter
  • passes: Number of passes

Returns

A list of the baseflow and baseflow index at each timestep.

Examples

library(hydroEvents)
data(dataBassRiver)
alpha.list = c(0, 0.9, 0.925, 0.95, 0.98, 0.987)
BFI.1 = numeric(length(alpha.list))
for (i in 1:length(alpha.list)) {
  bf.1 = baseflowA(dataBassRiver, alpha = alpha.list[i])
  BFI.1[i] = sum(bf.1$bf)/sum(dataBassRiver)
}
print(cbind(alpha.list, BFI.1))

References

Fuka D. R., Walter, M.T., Archiblad, J.A., Steenhuis, T.S., & Easton, Z. M. (2018). A Community Modeling Foundation for Eco-Hydrology, R package version 0.4.12.1 Flow from Streamflow Time Series. Water Resources Research, 37(11), 2709–2722.

Furey, P., & Gupta, V. (2001). A Physically Based Filter for Spearating Base Flow from Streamflow Time Series. Water Resources Research, 37(11), 2709–2722.

Lyne, V., & Hollick, M. (1979). Stochastic time-variable rainfall-runoff modelling. Institute of Engineers Australia National Conference, 89-92.

Nathan, R. J., & McMahon, T. A. (1990). Evaluation of automated techniques for base flow and recession analyses. Water Resources Research, 26(7), 1465–1473.

hydroEvents packageRead PDF manual