Parameter estimation of soil hydraulic characteristics by inverse modeling of the analytical equation for unsaturated subsurface water flow
| Autor: | Luiz Fernando C. de Oliveira, Flávia Vilela Corrêa, Gabriela Rezende de Souza, Jaíza Ribeiro Mota e Silva |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Atmospheric Science
Estimation theory 0208 environmental biotechnology Inverse Soil science 04 agricultural and veterinary sciences 02 engineering and technology Geotechnical Engineering and Engineering Geology 020801 environmental engineering Flow (mathematics) 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Subsurface flow Civil and Structural Engineering Water Science and Technology |
| Zdroj: | Journal of Hydroinformatics. 22:1270-1282 |
| ISSN: | 1465-1734 1464-7141 |
| DOI: | 10.2166/hydro.2020.015 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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