Evolution of Flood Prediction and Forecasting Models for Flood Early Warning Systems: A Scoping Review
Floods are recognised as one of the most destructive and costliest natural disasters in the
world, which impact the lives and livelihoods of millions of people. To tackle the risks …
world, which impact the lives and livelihoods of millions of people. To tackle the risks …
A fusion-based framework for daily flood forecasting in multiple-step-ahead and near-future under climate change scenarios: a case study of the Kan River, Iran
This study proposes a novel fusion framework for flood forecasting based on machine-
learning, statistical, and geostatistical models for daily multiple-step-ahead and near-future …
learning, statistical, and geostatistical models for daily multiple-step-ahead and near-future …
A machine learning-based approach for flash flood susceptibility mapping considering rainfall extremes in the northeast region of Bangladesh
Flash floods are catastrophic global events, especially in northeast Bangladesh, and
assessing flash flood susceptibility is crucial for preparedness and mitigation. Traditional …
assessing flash flood susceptibility is crucial for preparedness and mitigation. Traditional …
Towards Improved Flash Flood Forecasting over Dire Dawa, Ethiopia Using WRF-Hydro
Flash floods are increasingly frequent worldwide. Recent flooding in eastern Ethiopia
resulted in casualties, destruction of property and interruptions of service. National flash …
resulted in casualties, destruction of property and interruptions of service. National flash …
[HTML][HTML] Rapid Mapping: Unmanned Aerial Vehicles and Mobile-Based Remote Sensing for Flash Flood Consequence Monitoring (A Case Study of Tsarevo …
This research seeks to develop and test a rapid mapping approach using unmanned aerial
vehicles (UAVs) and terrestrial laser scanning to provide precise, high-resolution spatial …
vehicles (UAVs) and terrestrial laser scanning to provide precise, high-resolution spatial …
Can Reservoirs Combine Flood Protection and Irrigation? A Case Study for Larissa City, Greece
E Paschalis, N Xafoulis, N Alamanis… - Operations Research …, 2024 - Springer
Urbanization and climate change have put large segments of the population at risk of heavy
rainfall, river, and coastal flooding. In order to keep up with sustainable development, cities …
rainfall, river, and coastal flooding. In order to keep up with sustainable development, cities …
Multi-model fusion-based framework for daily flood forecasting in multiple-step-ahead and near future under climate change scenarios
This study proposes a novel fusion framework for flood forecasting based on machine
learning, statistical, and geostatistical models for daily multiple-step-ahead and near future …
learning, statistical, and geostatistical models for daily multiple-step-ahead and near future …