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Suitability of Green-Ampt Parameters for Rainfall-Runoff Simulations of Plot-Scale Field Experiments

Author(s): Franziska Tugel; Jonas Adrian Lemke; Aziz Hassan; Reinhard Hinkelmann

Linked Author(s): Franziska Tugel, Aziz Hassan, Reinhard Hinkelmann

Keywords: Hydroinformatics Modeling System; Hydrodynamic rainfall-runoff modeling; Green-Ampt model; Rainfall experiments; Literature values

Abstract: Flash flood simulations help to assess and communicate risks, study structural mitigation measures, and develop effective and risk-based early warning systems. In rural catchments infiltration can significantly reduce the surface runoff and flood risk, depending on soil types and initial saturation, land use/land cover, and rainfall as well as flood characteristics. Recent works of the authors showed that literature values for the parameters of the Green-Ampt infiltration model from two different sources have often resulted in unacceptable results when used in 2D hydrodynamic simulations of rainfall-runoff experiments from the laboratory and field. In the current work, the simulation of 41 extreme rainfall experiments on different meadows and arable lands in Baden-Württemberg, Germany, whose data is available in the literature, has been carried out with a robust 2D shallow water model. The aim is to further study the suitability of different literature values for the Green-Ampt parameters under diverse conditions. Overall, the simulation results do not agree well with the measurements, and infiltration has been generally underestimated. The highest agreements were yielded for recently tilled arable lands with low vegetation cover, the lowest for meadows with high vegetation cover under dry preconditions and low precipitation. There have been no notable differences between the results of the considered two different sources for tabulated Green-Ampt parameter values. For most of the simulated experiments, the Green-Ampt parameters of both sources were not suitable. A possible reason for the underestimated infiltration in the simulations could be a strong influence of macropores, which is not represented in the model.

DOI: https://doi.org/10.3850/IAHR-39WC252171192022472

Year: 2022

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