Evaluation of a general model for multimodal unsaturated soil hydraulic properties
Many soils and other porous media exhibit dual- or multi-porosity type features. In a previous study (Seki et al., 2022) we presented multimodal water retention and closed-form hydraulic conductivity equations for such media. The objective of this study is to show that the proposed equations are pra...
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Veröffentlicht in: | Journal of Hydrology and Hydromechanics 2023-03, Vol.71 (1), p.22-34 |
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Sprache: | eng |
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Zusammenfassung: | Many soils and other porous media exhibit dual- or multi-porosity type features. In a previous study (Seki et al., 2022) we presented multimodal water retention and closed-form hydraulic conductivity equations for such media. The objective of this study is to show that the proposed equations are practically useful. Specifically, dual-BC (Brooks and Corey)-CH (common head) (DBC), dual-VG (van Genuchten)-CH (DVC), and KO (Kosugi)
BC
-CH (KBC) models were evaluated for a broad range of soil types. The three models showed good agreement with measured water retention and hydraulic conductivity data over a wide range of pressure heads. Results were obtained by first optimizing water retention parameters and then optimizing the saturated hydraulic conductivity (
) and two parameters (
,
) or (
,
) in the general hydraulic conductivity equation. Although conventionally the tortuosity factor
is optimized and (
,
) fixed, sensitivity analyses showed that optimization of two parameters (
+
,
) is required for the multimodal models. For 20 soils from the UNSODA database, the average
for log (hydraulic conductivity) was highest (0.985) for the KBC model with
= 1 and optimization of (
,
,
). This result was almost equivalent (0.973) to the DVC model with
= 1 and optimization of (
,
,
); both were higher than
for the widely used Peters model (0.956) when optimizing (
,
,
, ω). The proposed equations are useful for practical applications while mathematically being simple and consistent. |
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ISSN: | 1338-4333 0042-790X 1338-4333 |
DOI: | 10.2478/johh-2022-0039 |