Scarfato, Maddalena (2018) Geostatistical analysis of flows in the vadose zone. [Tesi di dottorato]
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Tipologia del documento: | Tesi di dottorato |
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Lingua: | English |
Titolo: | Geostatistical analysis of flows in the vadose zone |
Autori: | Autore Email Scarfato, Maddalena maddalena.scarfato@unina.it |
Data: | 9 Dicembre 2018 |
Numero di pagine: | 135 |
Istituzione: | Università degli Studi di Napoli Federico II |
Dipartimento: | Agraria |
Dottorato: | Scienze agrarie e agroalimentari |
Ciclo di dottorato: | 31 |
Coordinatore del Corso di dottorato: | nome email D'Urso, Guido guido.durso@unina.it |
Tutor: | nome email Severino, Gerardo [non definito] |
Data: | 9 Dicembre 2018 |
Numero di pagine: | 135 |
Parole chiave: | soil; unsaturated; conductivity |
Settori scientifico-disciplinari del MIUR: | Area 07 - Scienze agrarie e veterinarie > AGR/08 - Idraulica agraria e sistemazioni idraulico-forestali |
Depositato il: | 03 Gen 2019 17:08 |
Ultima modifica: | 27 Giu 2020 04:57 |
URI: | http://www.fedoa.unina.it/id/eprint/12536 |
Abstract
The thesis aims to evaluate the theoretical-applicative aspects related to the monitoring and forecasting of soil water dynamics at practical interest scale. The work is focused on the development of models for the description of water flow in homogeneous and heterogeneous soils and the resolution of them. The spatial variations of the hydraulic properties of the soil and of the solute concentration are a consequence of soil heterogeneity. Therefore, considering these variations as a consequence of a limited knowledge of the porous medium, methods will be developed that allow to estimate the mains tatistical indices of the transport process variables, namely: watercontent, pressure head, hydraulic conductivity and solute concentration. The validity of the predictions of mathematical models is linked not only to the correct schematisation adopted to describe the physical phenomena involved in the processes during the study, but also by their validation with reference to a typical case of study.
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