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metadata.artigo.dc.title: Parameter estimation of soil hydraulic characteristics by inverse modeling of the analytical equation for unsaturated subsurface water flow
metadata.artigo.dc.creator: Oliveira, Luiz Fernando Coutinho de
Souza, Gabriela Rezende de
Corrêa, Flávia Vilela
Silva, Jaíza Ribeiro Mota e
metadata.artigo.dc.subject: Gardner model
Hydraulic conductivity
Retention curve
Van Genuchten model
Wetting bulb
Modelo de Gardner
Condutividade hidráulica
Curva de retenção
Modelo van Genuchten
metadata.artigo.dc.publisher: IWA Publishing 2020
metadata.artigo.dc.identifier.citation: OLIVEIRA, L. F. C. de et al. Parameter estimation of soil hydraulic characteristics by inverse modeling of the analytical equation for unsaturated subsurface water flow. Journal of Hydroinformatics, [S. l.], 2020. DOI:
metadata.artigo.dc.description.abstract: In drip-irrigated systems, the understanding of the soil wetting pattern is essential in defining the area effectively irrigated, the spacing between the emitters and their installation depth, and the irrigation rate. Thus, this study aims to estimate soil hydraulic characteristics through inverse modeling of an analytical equation used in wetting bulb simulation based on soil moisture measurements obtained in the field. The parameters of the Gardner model, which describes the unsaturated soil hydraulic conductivity, and the van Genuchten model that describes the soil moisture retention curve, were estimated by inverse modeling techniques. The following options were considered: (A) estimating parameter β while considering the other parameters, Ko, θr, θs, α, n, and m, as known and obtained experimentally; (B) estimating parameters Ko and β while considering the experimental retention curve as known; (C) estimating parameters Ko, β, α, n, and m while considering the values of the θr and θs volumetric moisture as known; (D) estimating all the parameters of Gardner and van Genuchten models (Ko, θr, θs, α, n, and m). The results indicate that option D showed better concordance between the estimated and observed moisture values. Thus, the inverse modeling of the analytical equation is an important tool for irrigation design and management.
metadata.artigo.dc.language: en_US
Appears in Collections:DEG - Artigos publicados em periódicos
DRS - Artigos publicados em periódicos

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