Enhancing assessment of direct and indirect exposure of settlement-transportation systems to mass movements by intergraph representation learning

Enhancing assessment of direct and indirect exposure of settlement-transportation systems to mass movements by intergraph representation learning

Amidst the intensifying extreme rainfall patterns due to climate change, global early warning systems for mass movements (e.g. landslides, avalanches) need to provide not only the coarsely aggregated danger reports, but also the necessary fine details to understand its potential implications on crit...

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Bibliographic Details
Main Authors: Joshua Dimasaka, Sivasakthy Selvakumaran, Andrea Marinoni
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Environmental Research Letters
Subjects:
mass movements
exposure
susceptibility
settlement
road network
graph-based machine learning
Online Access:https://doi.org/10.1088/1748-9326/ad8172

Internet

https://doi.org/10.1088/1748-9326/ad8172

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