Assessing the impact of climate change on the natural environment presents a challenge to the scientific community. The rise in global warming has resulted in an increase in the frequency of high-intensity thunderstorms. Rainfall is a significant factor in triggering landslides; therefore, it is inevitable that the areas susceptible to landslides are rapidly increasing, consequently exposing thousands of people, cultural assets, and the environment to risk. The most catastrophic landslides correspond to those classified as fast or extremely fast (i.e. debris flows), as they manage to spread long distances quickly without warning, sweeping away everything in their path and reaching areas initially considered safe. Given the need to identify and map many potentially exposed areas, the possibility of obtaining a plausible modelling of what is observed regardless of specific characteristics that can be obtained from in-depth only on-site and laboratory investigations has important implications for a rapid and reliable risk analysis involving large areas.
“Flow-type landslides: Propagation process and mitigation works modelling with a two-phase SPH depth-integrated method”
VISALLI, Pasquale
2023-05-22
Abstract
Assessing the impact of climate change on the natural environment presents a challenge to the scientific community. The rise in global warming has resulted in an increase in the frequency of high-intensity thunderstorms. Rainfall is a significant factor in triggering landslides; therefore, it is inevitable that the areas susceptible to landslides are rapidly increasing, consequently exposing thousands of people, cultural assets, and the environment to risk. The most catastrophic landslides correspond to those classified as fast or extremely fast (i.e. debris flows), as they manage to spread long distances quickly without warning, sweeping away everything in their path and reaching areas initially considered safe. Given the need to identify and map many potentially exposed areas, the possibility of obtaining a plausible modelling of what is observed regardless of specific characteristics that can be obtained from in-depth only on-site and laboratory investigations has important implications for a rapid and reliable risk analysis involving large areas.Pubblicazioni consigliate
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