[HTML][HTML] Debris flow and debris flood hazard assessment in mountain catchments
T Baggio, M Martini, F Bettella, V D'Agostino - Catena, 2024 - Elsevier
Debris flow and debris flood phenomena threat the life of thousands of citizens living in
mountain areas and endanger buildings and infrastructure worldwide. The assessment of …
mountain areas and endanger buildings and infrastructure worldwide. The assessment of …
Step-like displacement prediction and failure mechanism analysis of slow-moving reservoir landslide
Landslides triggered by extreme rainfall due to global climate change are becoming more
frequent. The Earth surface processes activity and landform evolution caused by landslide …
frequent. The Earth surface processes activity and landform evolution caused by landslide …
[HTML][HTML] Conventional data-driven landslide susceptibility models may only tell us half of the story: potential underestimation of landslide impact areas depending on …
Data-driven landslide susceptibility models (LSM) have been widely used to spatially predict
areas likely affected by landslides. Even though such approaches are used to estimate the …
areas likely affected by landslides. Even though such approaches are used to estimate the …
Multitemporal Analysis of Slow-Moving Landslides and Channel Dynamics through Integrated Remote Sensing and In Situ Techniques
The relationships between hillslope and fluvial processes were studied in a mountainous
area of the Northern Apennines (Italy) where intermittent landslide activity has interacted for …
area of the Northern Apennines (Italy) where intermittent landslide activity has interacted for …
Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions
H Jiang, Q Zou, Y Zhu, Y Li, B Zhou, W Zhou… - … Modelling & Software, 2024 - Elsevier
Abstract Machine learning has been widely applied to predict the spatial or temporal
likelihood of debris flows by leveraging its powerful capability to fit nonlinear features and …
likelihood of debris flows by leveraging its powerful capability to fit nonlinear features and …
Channel changes over the last 200 years: A meta data analysis on European rivers
The combined analysis of past evolutionary trajectories of channel morphology and
temporal patterns of driving factors is fundamental to understanding present river conditions …
temporal patterns of driving factors is fundamental to understanding present river conditions …
[HTML][HTML] National-scale assessment of railways exposure to rapid flow-like landslides
In landslide-prone regions, railway networks are vulnerable to rapid flow-like landslides,
which can cause extensive damage, even at significant distances from the landslide's point …
which can cause extensive damage, even at significant distances from the landslide's point …
Assessing multi-hazard susceptibility to cryospheric hazards: Lesson learnt from an Alaskan example
Classifying a given landscape on the basis of its susceptibility to surface processes is a
standard procedure in low to mid-latitudes. Conversely, these procedures have hardly been …
standard procedure in low to mid-latitudes. Conversely, these procedures have hardly been …
Multi-temporal analysis of morphological changes in an Alpine proglacial area and their effect on sediment transfer
Proglacial areas in high-mountain environments are among the most dynamic landscape
zones in terms of morphological, sedimentological, and hydrological changes. In fact, in …
zones in terms of morphological, sedimentological, and hydrological changes. In fact, in …
[HTML][HTML] HOTSED: A new integrated model for assessing potential hotspots of sediment sources and related sediment dynamics at watershed scale
In this paper we introduce HOTSED, a novel, innovative GIS-based model designed for
assessing potential hotspots of sediment dynamics at watershed scale. HOTSED integrates …
assessing potential hotspots of sediment dynamics at watershed scale. HOTSED integrates …