[HTML][HTML] Integrated hydrological modeling for watershed analysis, flood prediction, and mitigation using meteorological and morphometric data, SCS-CN, HEC-HMS …
H El-Bagoury, A Gad - Water, 2024 - mdpi.com
Flooding is a natural disaster with extensive impacts. Desert regions face altered flooding
patterns owing to climate change, water scarcity, regulations, and rising water demands …
patterns owing to climate change, water scarcity, regulations, and rising water demands …
Reservoir-based flood forecasting and warning: deep learning versus machine learning
S Yi, J Yi - Applied Water Science, 2024 - Springer
In response to increasing flood risks driven by the climate crisis, urban areas require
advanced forecasting and informed decision-making to support sustainable development …
advanced forecasting and informed decision-making to support sustainable development …
Machine learning‐based regional flood frequency analysis of Indian watersheds
NK Mangukiya, A Kumar, A Sharma - CLEAN–Soil, Air, Water, 2023 - Wiley Online Library
Estimates of the flood quantile for ungauged watersheds are crucial for water resources
management but challenging due to the nonlinear complex hydrological system. For …
management but challenging due to the nonlinear complex hydrological system. For …
A novel explainable PSO-XGBoost model for regional flood frequency analysis at a national scale: Exploring spatial heterogeneity in flood drivers
Identifying flood drivers and accurately estimating design floods play a crucial role in
fostering sustainable and effective planning and management strategies for mitigating flood …
fostering sustainable and effective planning and management strategies for mitigating flood …
[HTML][HTML] Using supervised machine learning for regional hydrological hazard estimation in metropolitan France
Q Ding, P Arnaud - Journal of Hydrology: Regional Studies, 2024 - Elsevier
Study region This study is carried out for 1929 gauged catchments in France, ranging from 1
to 10,000 km², where quality hydrometric observations are available for flood frequency …
to 10,000 km², where quality hydrometric observations are available for flood frequency …
Development of a convolutional neural network based regional flood frequency analysis model for South-east Australia
Flood is one of the worst natural disasters, which causes significant damage to economy
and society. Flood risk assessment helps to reduce flood damage by managing flood risk in …
and society. Flood risk assessment helps to reduce flood damage by managing flood risk in …
Flood frequency analysis at multiple durations
DM Barna - 2024 - duo.uio.no
Flooding currently affects more people than almost any other natural hazard (Van Loenhout
et al., 2020) and the proportion of the world's population that lives in flood-exposed areas is …
et al., 2020) and the proportion of the world's population that lives in flood-exposed areas is …