Combined Statistical Tools Improve Non-Stationary Flood Risk Modeling in Canada
A study using Canadian hydrometric data reveals that relying on a single statistical tool can cause over- or underestimation of ...
A study using Canadian hydrometric data reveals that relying on a single statistical tool can cause over- or underestimation of ...
A two-year citizen monitoring network across seven Ugandan highland watersheds revealed that local convective rainfall and farming practices drive flash ...
A new study in Natural Hazards uses symbolic regression to derive mathematical models that capture the combined impact of flood ...
A spatial analysis of Gulf Coast storms from 1992 to 2019 reveals that hurricanes significantly increase wildfire frequency and burned ...
A new study in Geoenvironmental Disasters applies multivariate statistical methods to map landslide susceptibility in Yilan County, Taiwan, identifying slope ...
A systematic review of 105 studies examines collaborative mapping in natural hazard management, revealing a strong focus on floods and ...
Researchers have demonstrated an autonomous drone system capable of navigating narrow debris flow channels to reconstruct high-resolution topographic maps without ...
A study in Natural Hazards links rising rainfall intensity in southern Sicily to increased landslide risk, projecting a 40% increase ...
A study in Natural Hazards identifies extreme wavelengths as a key driver of wave run-up and coastal flooding in Sochi ...
A catchment-scale study reveals that post-earthquake debris-flow activity in the 2008 Wenchuan earthquake epicentral area will transition toward stability in ...
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© 2026 Scienmag - Science Magazine