Results 51 to 60 of about 196,010 (225)

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

open access: yesSustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella   +4 more
wiley   +1 more source

Intersex Across the Interstellar: The Andromeda Constellation in Medieval and Early Modern Astronomical and Astrological Treatises

open access: yesRenaissance Studies, EarlyView.
ABSTRACT This article examines the iconography of the Andromeda constellation as an intersex figure within medieval and early modern astrological traditions. It focuses on the origins of this imagery in the thirteenth‐century astrological writings of Scot and its reappearance nearly three centuries later in Ratdolt's illustrated 1482 edition of Hyginus'
Bar Leshem
wiley   +1 more source

Integrating LiDAR-derived DEM, rainfall radar data, and SAR imagery for 2D HEC-RAS modelling to assess the severity of pluvial flash floods induced by Storm Boris in SE Romania

open access: yesGeomatics, Natural Hazards & Risk
In this study, we aimed to assess the severity of 13 to 14 September, 2024, pluvial flash floods event induced by Storm Boris in SE Romania, by a combination of two watersheds (W1 and W2) and 14 settlements scale assessment and weather radar rainfall ...
Alin Mihu-Pintilie   +3 more
semanticscholar   +1 more source

Why Are Physics‐Based Models Taking so Long to Run?

open access: yesPerspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.
Abstract Physics‐based models provide a reliable and interpretable framework based on established physical laws, allowing them to deal with unforeseen future conditions much better than statistical data‐driven methods. Physics‐based models in Earth science (e.g., climate models, hydrological models, and groundwater models) are commonly used for ...
Xiuquan Wang
wiley   +1 more source

Application of the HEC‐RAS and HEC‐HMS Models for Flood Risk Analysis in the Gumara River, Upper Blue Nile Basin, Ethiopia

open access: yesAdvances in Meteorology
In terms of socioeconomic damage, floods are one of the most destructive natural disasters. However, by conducting flood modeling prior to an event, their impacts can be mitigated and better managed.
Mulie Admas   +2 more
semanticscholar   +1 more source

FLOOD HYDROGRAPH ANALYSIS USING SYNTHETIC UNIT HYDROGRAPH, HEC-HMS, AND HEC-RAS 2D UNSTEADY FLOW PRECIPITATION ON-GRID MODEL FOR DISASTER RISK MITIGATION

open access: yesInternational Journal of GEOMATE, 2023
: This study presents a flood hydrograph numerical modeling of the Keser watershed for disaster risk mitigation and water resources management for an emergency action plan (EAP) on the Tugu dam.
M. Ansori
semanticscholar   +1 more source

Modelación de mapa de inundaciones durante el huracán Alex: simulación usando precipitación multisensorial en la ciudad de Monterrey, México

open access: yesTecnología y ciencias del agua
El huracán Alex fue uno de los ciclones tropicales más intensos en el Atlántico norte, causando muertes y pérdidas en el noreste de México debido a las inundaciones. El mapeo de las inundaciones es una herramienta vital para evaluar áreas afectadas, y se
Juan M. Stella
doaj   +1 more source

Determination of Flood Inuandation Areas in the City of Bingöl (Turkey) Using Geographic Information Systems and HEC-RAS

open access: yesDoğal Afetler ve Çevre Dergisi, 2020
Flood is among the most common natural disasters in Turkey. For this reason, it is very important to determine the flood spreading areas in advance, to reduce the flood risk and to ensure the safety of life and property accordingly.
Murat Celiker   +2 more
doaj   +1 more source

Comprehensive Analysis for the Evaluation of Torrential Floods and Slope Stability of River Channels: La China River Area (Colombia)

open access: yesJournal of Flood Risk Management, Volume 19, Issue 3, September 2026.
Colombia and other tropical regions face a very high threat from torrential floods, which have resulted in over 25,000 deaths in a single event. Unfortunately, there is no comprehensive assessment methodology to zone and determine the magnitude of these disasters; therefore, this research aims to help fill this gap.
Carlos A. Buenahora Ballesteros   +2 more
wiley   +1 more source

Assessing the Implication of Climate Change to Forecast Future Flood Using SWAT and HEC-RAS Model under CMIP5 Climate Projection in Upper Nan Watershed, Thailand

open access: yesSustainability, 2023
Climate change will affect Southeast Asian countries, particularly Thailand. There are still insufficient studies on rainfall, streamflow, and future floods in the Upper Nan Watershed, northern Thailand. This study examined how future climate change will
M. C. Satriagasa   +2 more
semanticscholar   +1 more source

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