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Natural Hazards
Scopus
ISSN 0921-030X · Springer Science+Business Media · 3 articles in the index
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Journal Article Full text
Machine learning and landslide studies: recent advances and applications
Abstract Upon the introduction of machine learning (ML) and its variants, in the form that we know today, to the landslide community, many studies have been carried out to explore the usefulness of ML in landslide research and to look at some classic landslide problems from an ML point of view. ML…
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Journal Article Full text
Flood exposure and social vulnerability in the United States
Abstract Human exposure to floods continues to increase, driven by changes in hydrology and land use. Adverse impacts amplify for socially vulnerable populations, who disproportionately inhabit flood-prone areas. This study explores the geography of flood exposure and social vulnerability in the…
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Journal Article Full text
Urbanization impacts on flood risks based on urban growth data and coupled flood models
Abstract Urbanization increases regional impervious surface area, which generally reduces hydrologic response time and therefore increases flood risk. The objective of this work is to investigate the sensitivities of urban flooding to urban land growth through simulation of flood flows under…