CINECA IRIS Institutional Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishIn order to understand the effect of climatic variables on the hydrological response of a shallow soil and the consequent role of atmospheric features in the triggering mechanism of rainfall-induced landslides, a long-term field monitoring of the wa-ter regime of a slope results very helpful. In this work, field measurements of the soil saturation degree in a sample slope, coming from a 18 months continuous monitoring of soil water content, are presented. The experimental data are com-pared with the seasonal trends of the soil saturation degree resulting from the ap-plication of a simplified empirical model, which is based on rainfall and air tem-perature input data. The performance of the model is evaluated for two different soil depths, in order to establish a future application of this method to predict time trends of the saturation degree for large scale slope stability analyses.
Scheda prodotto non validato
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
| Titolo: | Monitoring and Modelling of Soil–Atmosphere Interaction on a Slope Affected by Shallow Landslides | |
| Autori: | ||
| Data di pubblicazione: | 2015 | |
| Abstract: | In order to understand the effect of climatic variables on the hydrological response of a shallow soil and the consequent role of atmospheric features in the triggering mechanism of rainfall-induced landslides, a long-term field monitoring of the wa-ter regime of a slope results very helpful. In this work, field measurements of the soil saturation degree in a sample slope, coming from a 18 months continuous monitoring of soil water content, are presented. The experimental data are com-pared with the seasonal trends of the soil saturation degree resulting from the ap-plication of a simplified empirical model, which is based on rainfall and air tem-perature input data. The performance of the model is evaluated for two different soil depths, in order to establish a future application of this method to predict time trends of the saturation degree for large scale slope stability analyses. | |
| Handle: | http://hdl.handle.net/11571/949235 | |
| ISBN: | 9783319090566 | |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
File in questo prodotto:
http://hdl.handle.net/11571/949235
Copyright © 2021