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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Acknowledgments
The authors gratefully acknowledge the financial support of Fondazione Cariplo, grant number 2017-0722. We thank an anonymous reviewer for several suggestions which helped in improving the quality of the paper.
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Gatti, F., Bonaventura, L., Menafoglio, A., Papini, M., Longoni, L. (2021). Preliminary Results from the SMART-SED Basin Scale Sediment Yield Model. In: Tiwari, B., Sassa, K., Bobrowsky, P.T., Takara, K. (eds) Understanding and Reducing Landslide Disaster Risk. WLF 2020. ICL Contribution to Landslide Disaster Risk Reduction. Springer, Cham. https://doi.org/10.1007/978-3-030-60706-7_22
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