,
pages 241-248
Preliminary Results from the SMART-SED Basin Scale Sediment Yield Model
Publication type: Book Chapter
Publication date: 2020-12-23
SJR: —
CiteScore: —
Impact factor: —
ISSN: 26621894, 26621908
Abstract
In this work we describe a first version of the simulation tool developed within the SMART-SED project. The two main components of the SMART-SED model consist in a data preprocessing tool and in a robust numerical solver, which does not require a priori identification of river beds and other surface run-off areas, thus being especially useful to provide accurate input data to more localized landslide and debris-flow models. Furthermore, a geostatistical tool is available to downscale SoilGrids particle size fractions (psf) data to a given resolution. The psf data is employed also within the SCS-CN method, used to model the infiltration process. The results of a complete numerical simulation are reported and possible future developments of the model are discussed.
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Gatti F. et al. Preliminary Results from the SMART-SED Basin Scale Sediment Yield Model // Understanding and Reducing Landslide Disaster Risk. 2020. pp. 241-248.
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Gatti F., BONAVENTURA L., Menafoglio A., Papini M., Longoni L. Preliminary Results from the SMART-SED Basin Scale Sediment Yield Model // Understanding and Reducing Landslide Disaster Risk. 2020. pp. 241-248.
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TY - GENERIC
DO - 10.1007/978-3-030-60706-7_22
UR - https://doi.org/10.1007/978-3-030-60706-7_22
TI - Preliminary Results from the SMART-SED Basin Scale Sediment Yield Model
T2 - Understanding and Reducing Landslide Disaster Risk
AU - Gatti, Federico
AU - BONAVENTURA, LUCA
AU - Menafoglio, Alessandra
AU - Papini, Monica
AU - Longoni, Laura
PY - 2020
DA - 2020/12/23
PB - Springer Nature
SP - 241-248
SN - 2662-1894
SN - 2662-1908
ER -
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@incollection{2020_Gatti,
author = {Federico Gatti and LUCA BONAVENTURA and Alessandra Menafoglio and Monica Papini and Laura Longoni},
title = {Preliminary Results from the SMART-SED Basin Scale Sediment Yield Model},
publisher = {Springer Nature},
year = {2020},
pages = {241--248},
month = {dec}
}