Project description
Abstract
The identification and geomorphological characterization of basins and slopes that lie on transport lines is of relevance to quantify the possibility of their interaction with geo-hydrological phenomena such as flash floods and landslides. We propose the development and implementation of specific portable, automatic and reproducible software modules [1] for (1) the multi-scale delineation of basins and slopes [2], (2) the calculation of the time of concentration with an ensemble of empirical methods at each scale level, and (3) the evaluation of the stability of the identified slopes with statistical [3,4], conceptual [5] and physically based methods [6,7]. In (1) the multi-scalarity is achieved with a method of delineation of basins and slope units nested at different scale levels, locally optimized with an adaptive algorithm. In (2) several equations known in the literature are used to determine the times of concentration as the density of the hydrographic network, topography and land cover vary. In (3) we specialize on the single side of nationally fitted models, and apply high-resolution physical models for collapse phenomena and debris flows. The three points are among the founding topics of the research group's professionalism. The proposed objectives are variations of algorithms, software and models developed and extensively tested at the national level, with digital terrain models of 10 m resolution or higher.
References
[1] Alvioli M., Marchesini I., Reichenbach P. et al. (2016). Automatic delineation of geomorphological slope units with r.slopeunits v1.0 and their optimization for landslide susceptibility modeling. Geoscientific Model Development, 9, 3975–3991.
[2] Alvioli M., Guzzetti F., Marchesini I. (2020). Parameter-free delineation of slope units and terrain subdivision of Italy. Geomorphology, 358, 107124.
[3] Alvioli M., Loche M., Jacobs L. et al. (2024). A benchmark dataset and workflow for landslide susceptibility zonation. Earth-Science Reviews, 104927
[4] Loche M., Alvioli M., Marchesini I. et al. (2022). Landslide susceptibility maps of Italy: Lesson learnt from dealing with multiple landslide types and the uneven spatial distribution of the national inventory. Earth-Science Reviews, 232, 104125.
[5] Marchesini I., Althuwaynee O., Santangelo M. et al. (2024). National-scale assessment of railways exposure to rapid flow-like landslides. Engineering Geology, 332, 107474.
[6] Alvioli M., Santangelo M., Fiorucci F. et al. (2021). Rockfall susceptibility and network-ranked susceptibility along the Italian railway. Engineering Geology, 293, 106301.
[7] Alvioli M., Falcone G., Mendicelli A. et al. (2023). Seismically induced rockfall hazard from a physically based model and ground motion scenarios in Italy. Geomorphology, 429, 108652.
Funding information:
"HySTC - Hydrology and Stability of slopes along Transport Corridors" - Programma RETURN - PNRR
M4.C2.1.3 - Finanziato dall’Unione Europea – NextGenerationEU - CUP: C99J24000390008"
Further information:
massimiliano[dot]alvioli[at]cnr[dot]it
