Research briefs

Keep up to date with the latest research on disaster risk and resilience on the PreventionWeb knowledge base.

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Rockfall blocks a road followin heavy rain
Research briefs
Using data collected from a 2022 magnitude 6.8 earthquake in Luding County in China's Sichuan Province, researchers have tested whether Global Navigation Satellite System observations could be used for rapid prediction of earthquake-triggered landslides.
Seismological Society of America
Research briefs
There’s an important dividing line in the history of recent Texas earthquakes, when the establishment of the Texas Seismological Network (TexNet) introduced the ability to monitor seismic events to much lower magnitude.
Southern Methodist University
Madagascar view of the countryside from the sky - cloudy
Research briefs
Clouds have for decades been a bugbear for remote sensing of land surface temperature. A new approach incorporating machine learning appears to have solved this challenge.
Journal of Remote Sensing (AAAS)
Research briefs
New research from the U.S. Geological Survey links wildfires to increased mercury concentrations in Pacific Northwest headwater streams.
United States Geological Survey
Antarctica
Research briefs
The rising earth beneath the Antarctic Ice Sheet will likely become a major factor in future sea level rise, a new study suggests.
Ohio State University
Illustration that explains the mechanism of liquefaction
Research briefs
Soil liquefaction that results in infrastructure damage has long been a point of contention for urban planners and engineers. Accurately predicting the soil liquefaction risk of a region could help overcome this challenge.
Shibaura Institute of Technology (SIT)
Clouds above a corn field in the summer.
Research briefs
New research shows that though marine cloud brightening holds potential to temporarily reduce heat stress regionally, the technique has unpredictable and far-reaching outcomes.
Eos - AGU
Research briefs
The new model could create maps that predict urban area flooding, which traditionally have not been accessible to urban planners. This could help identify potentially flood-prone areas in urban settings.
North Carolina State University

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