Modelling Soil Water Dynamics from Soil Hydraulic Parameters Estimated by an Alternative Method in a Tropical Experimental Basin
| Autor: | Victor Hugo Rabelo Coelho, Suzana Maria Gico Lima Montenegro, Rafael Angulo-Jaramillo, Diego Cezar dos Santos Araújo, Artur Paiva Coutinho, Severino Martins dos Santos Neto, Ana Claudia Villar E Luna Gusmão, Bruno e Silva Ursulino, Laurent Lassabatere |
|---|---|
| Přispěvatelé: | Centro de Tecnologia e Geociências, Universidade Federal de Pernambuco [Recife] (UFPE), Centro Acadêmico do Agreste (CAA), Departamento de engenharia Civil e Ambiental, Universidade Federal da Paraiba (UFPB), Departamento de Engenharia Agrícola, Universidade Federale Rural de Pernambuco, UACSA, Cabo de Santo Agostinho, PE, Brazil, Laboratoire d'Ecologie des Hydrosystèmes Naturels et Anthropisés (LEHNA), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
lcsh:Hydraulic engineering
010504 meteorology & atmospheric sciences Mean squared error Hydrus-1D Geography Planning and Development Flow (psychology) 0207 environmental engineering Drainage basin Soil science 02 engineering and technology Aquatic Science Structural basin 01 natural sciences Biochemistry BEST model vadose zone lcsh:Water supply for domestic and industrial purposes lcsh:TC1-978 Evapotranspiration Vadose zone 020701 environmental engineering Water content ComputingMilieux_MISCELLANEOUS 0105 earth and related environmental sciences Water Science and Technology geography lcsh:TD201-500 geography.geographical_feature_category soil moisture content 15. Life on land 6. Clean water soil properties Soil water Environmental science [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
| Zdroj: | Water Water, MDPI, 2019, 11 (5), pp.1007. ⟨10.3390/w11051007⟩ Volume 11 Issue 5 Water, Vol 11, Iss 5, p 1007 (2019) |
| ISSN: | 2073-4441 |
| Popis: | Knowledge about soil moisture dynamics and their relation with rainfall, evapotranspiration, and soil physical properties is fundamental for understanding the hydrological processes in a region. Given the difficulties of measurement and the scarcity of surface soil moisture data in some places such as Northeast Brazil, modelling has become a robust tool to overcome such limitations. This study investigated the dynamics of soil water content in two plots in the Gameleira Experimental River Basin, Northeast Brazil. For this, Time Domain Reflectometry (TDR) probes and Hydrus-1D for modelling one-dimensional flow were used in two stages: with hydraulic parameters estimated with the Beerkan Estimation of Soil Transfer Parameters (BEST) method and optimized by inverse modelling. The results showed that the soil water content in the plots is strongly influenced by rainfall, with the greatest variability in the dry&ndash wet&ndash dry transition periods. The modelling results were considered satisfactory with the data estimated by the BEST method (Root Mean Square Errors, RMSE = 0.023 and 0.022 and coefficients of determination, R2 = 0.72 and 0.81) and after the optimization (RMSE = 0.012 and 0.020 and R2 = 0.83 and 0.72). The performance analysis of the simulations provided strong indications of the efficiency of parameters estimated by BEST to predict the soil moisture variability in the studied river basin without the need for calibration or complex numerical approaches. |
| Databáze: | OpenAIRE |
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