Artículos, conferencias, monografías
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Esta colección está formada por artículos, conferencias, comunicaciones y otras publicaciones elaborados por miembros de la Universitat Politècnica de València.
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Browsing Artículos, conferencias, monografías by Author "633359"
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- PublicationScale effect on hydraulic conductivity and solute transport: Small and large-scale laboratory experiments and field experiments(Elsevier, 2018-09) Almeida De-Godoy, Vanessa; Zuquette, L.V.; Gómez Hernández, José Jaime; Dpto. de Ingeniería Hidráulica y Medio Ambiente; Instituto Universitario de Ingeniería del Agua y del Medio Ambiente; Escuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos; Santander Universidades; Universidade de São Paulo; Coordenaçao de Aperfeiçoamento de Pessoal de Nível Superior, Brasil; Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasil[EN] Hydraulic conductivity (K), dispersivity (alpha) and partition coefficient (K-d) can change according to the measurement support (scale) and that is referred to as scale effect. However, there is no clear consensus about the behavior of these parameters with the change in the scale. Comparison between results obtained in different support of measurements in the field and in the laboratory can promote the discussion about scale effects on K, alpha, and K-d, and contribute to understanding how these parameters behave with the change in the scale of measurement, the main objectives of the present paper. Small and large-scale laboratory tests using undisturbed soil samples and field experiments at different scales were performed. Results show that for the same measurement condition, K, alpha, and K-d increase with scale in all studied magnitudes. Caution should be taken when using K, alpha, and K-d values in numerical models with no concern about the scale effect. The lack of consideration of the difference of scale between field and laboratory measurements and numerical model may compromise the reliability of the predictions and misrepresent the responses.
- PublicationSpatial variability of hydraulic conductivity and solute transport parameters and their spatial correlations to soil properties(Elsevier, 2019) Almeida De-Godoy, Vanessa; Zuquette, Lazaro Valentin; Gómez Hernández, José Jaime; Dpto. de Ingeniería Hidráulica y Medio Ambiente; Instituto Universitario de Ingeniería del Agua y del Medio Ambiente; Escuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos; Santander Universidades; Universidade de São Paulo; Coordenaçao de Aperfeiçoamento de Pessoal de Nível Superior, Brasil; Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasil[EN] Spatial variation of the correlation among variables related to water flow and solute transport are important in the characterization of the spatial variability when performing uncertainty analysis and making uncertainty qualified solute transport predictions. However, the spatial variation of the correlation between solute transport parameters and soil properties are rarely studied. In this study, the spatial correlation among laboratory-measured transport parameters dispersivity and coefficient of distribution of a reactive and a nonreactive solute and soil properties were studied at the scale of a few meters using a dense sampling design. In an area of 84 m(2) and a depth of 2 m, 55 undisturbed soil samples were taken to determine the soil properties. Column experiments were performed, and the transport parameters were obtained by fitting the experimental data to the analytical solution of the advection-dispersion equation using the computer program CFITM. Stepwise multiple linear regression (MLR) was performed in order to identify the statistically significant variables. The spatial correlation of the variables and between variables were determined using the Stanford Geostatistical Modeling Software. Soil properties presented a moderate coefficient of variation, while hydraulic conductivity and transport parameters were widely dispersed. The difference between its minimum and maximum value was quite large for most of the studied variables evidencing their high variability. Both dispersivity and retardation factor were higher than the expected and this result can be related to the preferential pathways and to the non-connected micropores. None of the physical soil property was strongly correlated to the transport parameters. Coefficient of distribution was strongly correlated to the cation exchange capacity and significantly correlated to mesoporosity and microporosity. Hydraulic conductivity presented significant positive correlation to the effective porosity and macroporosity. Stepwise multiple linear regression analysis indicated that further studies should be performed aiming to include other variables relevant for lateritic soils such as pH, electrical conductivity, the content of Al and Fe, CaCO3 and soil structure and microstructure. The study of the spatial correlation among transport parameters and soil properties showed that the codispersion among the variables is not constant in space and can be important in dictate the behavior of the combined variables. Our results also showed that some variables that were identified as explanatory in the MLR were not significant in the spatial analysis of the correlation, showing the importance of this kind of analyses for a better decision about the most relevant variables and their relations. The present study was a first attempt to evaluate the spatial variation in the correlation coefficient of transport parameters of a reactive and a nonreactive solute, indicating the more relevant variables and the ones that should be included in future studies.
- PublicationStochastic analysis of three-dimensional hydraulic conductivity upscaling in a heterogeneous tropical soil(Elsevier, 2018-08) Almeida De-Godoy, Vanessa; Zuquette, L.V.; Gómez Hernández, José Jaime; Dpto. de Ingeniería Hidráulica y Medio Ambiente; Instituto Universitario de Ingeniería del Agua y del Medio Ambiente; Escuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos; Coordenaçao de Aperfeiçoamento de Pessoal de Nível Superior, Brasil; Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasil[EN] Hydraulic conductivity (K) heterogeneity is seldom considered in geotechnical practice for the impossibility of sampling the entire area of interest and for the difficulty of accounting for scale effects. Stochastic three-dimensional K upscaling can tackle these two problems, and a workflow is described with an application in a tropical soil. The application shows that K heterogeneity can be incorporated in the daily practice of the geotechnical modeler while discussing the aspects to consider when performing the upscaling so that the upscaled models reproduce the average fluxes at the fine scale.
- PublicationStochastic upscaling of hydrodynamic dispersion and retardation factor in a physically and chemically heterogeneous tropical soil(Springer-Verlag, 2019) Almeida De-Godoy, Vanessa; Zuquette, L.V.; Gómez Hernández, José Jaime; Dpto. de Ingeniería Hidráulica y Medio Ambiente; Instituto Universitario de Ingeniería del Agua y del Medio Ambiente; Escuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos; Santander Universidades; Universidade de São Paulo; Coordenaçao de Aperfeiçoamento de Pessoal de Nível Superior, Brasil; Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasil[EN] Stochastic upscaling of flow and reactive solute transport in a tropical soil is performed using real data collected in the laboratory. Upscaling of hydraulic conductivity, longitudinal hydrodynamic dispersion, and retardation factor were done using three different approaches of varying complexity. How uncertainty propagates after upscaling was also studied. The results show that upscaling must be taken into account if a good reproduction of the flow and transport behavior of a given soil is to be attained when modeled at larger than laboratory scales. The results also show that arrival time uncertainty was well reproduced after solute transport upscaling. This work represents a first demonstration of flow and reactive transport upscaling in a soil based on laboratory data. It also shows how simple upscaling methods can be incorporated into daily modeling practice using commercial flow and transport codes.