Splintex 2.0: A physically-based model to estimate water retention and hydraulic conductivity parameters from soil physical data

Silva, Alessandra Calegari da; Armindo, Robson André; Prevedello, Celso Luiz

doi:10.1016/j.compag.2019.105157

Computers and Electronics in Agriculture

2020

DOI: 10.1016/j.compag.2019.105157

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Splintex 2.0: A physically-based model to estimate water retention and hydraulic conductivity parameters from soil physical data

Alessandra Calegari da Silva

Robson André Armindo

Celso Luiz Prevedello

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Cited by 9 publications

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Variaciones y controles de la recarga de aguas subterráneas estimados mediante la combinación del método de fluctuación del nivel freático y la ley de Darcy en una meseta de loess en China

Sun,

Li,

Wang

et al. 2023

Hydrogeol J

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Splintex 2.0: A physically-based model to estimate water retention and hydraulic conductivity parameters from soil physical data

Cited by 9 publications

References 28 publications

Variaciones y controles de la recarga de aguas subterráneas estimados mediante la combinación del método de fluctuación del nivel freático y la ley de Darcy en una meseta de loess en China

Variaciones y controles de la recarga de aguas subterráneas estimados mediante la combinación del método de fluctuación del nivel freático y la ley de Darcy en una meseta de loess en China

Prediction of Soil–Water Characteristic Curves in Bimodal Tropical Soils Using Artificial Neural Networks

An alternative continuous form of Arya and Paris model to predict the soil water retention curve of a soil

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