Parameterizing Haverkamp Model From the Steady‐State of Numerically Generated Infiltration: Influence of Algorithms for Steady‐State Selection Article Swipe
Dario Autovino
,
Vincenzo Bagarello
,
Massimo Iovino
,
Laurent Lassabatère
,
Deniz Yılmaz
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/hyp.15330
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/hyp.15330
BEST (Beerkan Estimation of Soil Transfer parameters) methods of soil hydraulic characterisation are widely applied for estimating sorptivity, S , and saturated hydraulic conductivity, K s . Calculating these properties requires choosing the β and γ parameters of the Haverkamp infiltration model. These parameters can be obtained from numerically simulated three‐dimensional (3D) infiltration runs reaching steady‐state. This investigation tested dependence of the estimated β and γ parameters on the algorithm for steady‐state selection using simulated 3D cumulative infiltrations for different soils and initial conditions. Two algorithms used the original simulation outputs and included using (i) a threshold defining steadiness (T‐algorithm) and (ii) the last four data points, yielding a reference value of steady‐state infiltration rate (R‐algorithm). A third algorithm, similar to the R‐algorithm, was applied to previously re‐sampled infiltration data at fixed time intervals (RR‐algorithm). The intercept, b s , of the straight line fitted to the data describing steady‐state on the cumulative infiltration plot depended on the applied algorithm more than the slope of this line. Consequently, β varied with the applied algorithm more than γ . The RR‐algorithm, yielding 0.62 ≤ β ≤ 1.99 and 0.74 ≤ γ ≤ 0.98, was preferred since it mediated between advantages and disadvantages of T‐ and R‐algorithms. The influence of the choice of proper values for β and γ on the estimates of S and K s was evaluated using BEST. Using the default values of β (0.6) and γ (0.75) yielded accurate estimates of S but not of K s . Soil dependent β and γ values should be used in this case. A check of the reliability of the estimates of b s can be made by a sequential analysis of the cumulative infiltration data. Future developments include considering sources differing in size and establishing if the suggested β and γ values apply in general to the available BEST algorithms.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/hyp.15330
- OA Status
- hybrid
- Cited By
- 1
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404345824
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4404345824Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/hyp.15330Digital Object Identifier
- Title
-
Parameterizing Haverkamp Model From the Steady‐State of Numerically Generated Infiltration: Influence of Algorithms for Steady‐State SelectionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-11-01Full publication date if available
- Authors
-
Dario Autovino, Vincenzo Bagarello, Massimo Iovino, Laurent Lassabatère, Deniz YılmazList of authors in order
- Landing page
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https://doi.org/10.1002/hyp.15330Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1002/hyp.15330Direct OA link when available
- Concepts
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Sorptivity, Infiltration (HVAC), Hydraulic conductivity, Soil water, Algorithm, Mathematics, Steady state (chemistry), Soil science, Environmental science, Geotechnical engineering, Geology, Physics, Chemistry, Thermodynamics, Physical chemistry, PorosityTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
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41Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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