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

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorSilva, Alessandra Calegari da-
Autor(es): dc.creatorArmindo, Robson André-
Autor(es): dc.creatorPrevedello, Celso Luiz-
Data de aceite: dc.date.accessioned2026-02-09T11:52:10Z-
Data de disponibilização: dc.date.available2026-02-09T11:52:10Z-
Data de envio: dc.date.issued2020-09-17-
Data de envio: dc.date.issued2020-09-17-
Data de envio: dc.date.issued2020-01-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/43130-
Fonte completa do material: dc.identifierhttps://doi.org/10.1016/j.compag.2019.105157-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1149238-
Descrição: dc.descriptionSoil water retention curve (SWRC) and hydraulic conductivity curve (SHCC) are functions that contribute to the understanding and modeling of hydraulic processes in the vadose zone of the soil. However, their measurement is often difficult and expensive becoming impractical the large-scale monitoring. Pedotransfer functions (PTFs) are, therefore, an alternative to estimate SWRC and SHCC data. Most PTFs are usually calibrated with data from local soils and may be uncertain when applied to soils with different morphological properties. On the other hand, PTFs with a physico-empirical basis have as advantage their wide application. Splintex 1.0 is a physico-empirical model developed in BASIC language that is based on the particle size distribution and other basic soil information. This model estimates the parameters of the van Genuchten-Mualem equation that compose the SWRC without requiring prior calibration and the saturated hydraulic conductivity (Ks) using a texture-PTF. A second version with a user-friendly computational interface is presented to improve the estimates of the SWRC parameters and to introduce the estimation of the SHCC parameters with different PTFs, which are based on two physically-based models that can be applied universally. Computational procedures and equations of Splintex 2.0 were written in C++ language and the performance of both model versions was tested for different soil texture classes. The performance analysis was carried out using the Pearson correlation coefficient and the mean absolute and root mean square errors. Splintex 2.0 yielded good performance in the quantification of water retention data, showing its application to any soil class. As an advantage, the conductivity data can be estimated without the need of Ks and SWRC parameters.-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceComputers and Electronics in Agriculture-
Palavras-chave: dc.subjectSoil water retention curve-
Palavras-chave: dc.subjectSoil hydraulic parameters-
Palavras-chave: dc.subjectPedotransfer function-
Palavras-chave: dc.subjectParticle size distribution-
Palavras-chave: dc.subjectCurva de retenção de água no solo-
Palavras-chave: dc.subjectParâmetros hidráulicos do solo-
Palavras-chave: dc.subjectFunção de Pedotransferência-
Palavras-chave: dc.subjectDistribuição de Tamanho de Partículas-
Palavras-chave: dc.subjectCondutividade hidráulica-
Título: dc.titleSplintex 2.0: A physically-based model to estimate water retention and hydraulic conductivity parameters from soil physical data-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

Não existem arquivos associados a este item.