Water Science and Technology (Aug 2023)

The assessment of the effectiveness of the unimodal and bimodal models to evaluate the water flow through nature-based solutions substrates

  • Michele Turco,
  • Stefania Anna Palermo,
  • Ada Polizzi,
  • Ludovica Presta,
  • Behrouz Pirouz,
  • Patrizia Piro

DOI
https://doi.org/10.2166/wst.2023.235
Journal volume & issue
Vol. 88, no. 4
pp. 932 – 946

Abstract

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Nature-based solutions are popular techniques for managing stormwater. Most of them allow porous media as their main layer. The description of the Soil Water Retention Curve (SWRC) as the Unsaturated Hydraulic Conductivity Curve (UHCC) is often required to run the hydrological simulations with the physically based models. Using the unimodal and bimodal models to assess the SWRC and UHCC of soils is a widespread technique but their evaluation is often present in literature only in terms of curve fitting. Based on these assumptions, this work presents the performance assessment of the van Genuchten unimodal and bimodal models by functional evaluation of them based on the runoff from several substrates. Four substrates were investigated to define the structure, the SWRC, and the UHCC. Results showed that all substrates had a bimodal behaviour with lowest values of RMSE (RMSE_Θ = 0.0023 to 0.0037, RMSE_K = 0.0636 to 0.1284). Finally, a numerical simulation using the HYDRUS-1D model was performed for a three-month data set to check the effectiveness of the unimodal model instead of the bimodal one. The findings have shown that the unimodal model must be preferred instead of the bimodal because it has fewer parameters and assured low discrepancies in runoff volume (ε=0.00% to 6.25%). HIGHLIGHTS The aim of the work is to check the effectiveness of the unimodal and bimodal models to predict runoff volume from NBS substrates.; Experimental investigation on four soil substrates to define their hydraulic behaviour.; Numerical simulations to assess the performances of the two investigated models.; The benefit of using unimodal model instead bimodal was assessed.;

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