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

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

Water science and technology : a journal of the International Association on Water Pollution Research

2023  Band 88, Heft 4, Seite(n) 932–946

Abstract: 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 ... ...

Abstract 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%).
Mesh-Begriff(e) Computer Simulation ; Electric Conductivity ; Hydrology ; Porosity ; Soil ; Water
Chemische Substanzen Soil ; Water (059QF0KO0R)
Sprache Englisch
Erscheinungsdatum 2023-08-31
Erscheinungsland England
Dokumenttyp Journal Article
ZDB-ID 764273-8
ISSN 1996-9732 ; 0273-1223
ISSN (online) 1996-9732
ISSN 0273-1223
DOI 10.2166/wst.2023.235
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Einzelsignatur: Hefte anzeigen
Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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