Flood prediction using machine learning models: Literature review
Floods are among the most destructive natural disasters, which are highly complex to model.
The research on the advancement of flood prediction models contributed to risk reduction …
The research on the advancement of flood prediction models contributed to risk reduction …
A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran
In north of Iran, flood is one of the most important natural hazards that annually inflict great
economic damages on humankind infrastructures and natural ecosystems. The Kiasar …
economic damages on humankind infrastructures and natural ecosystems. The Kiasar …
Toward street‐level nowcasting of flash floods impacts based on HPC hydrodynamic modeling at the watershed scale and high‐resolution weather radar data
In our era, the rapid increase of parallel programming coupled with high‐performance
computing (HPC) facilities allows for the use of two‐dimensional shallow water equation (2D …
computing (HPC) facilities allows for the use of two‐dimensional shallow water equation (2D …
Training machine learning surrogate models from a high‐fidelity physics‐based model: Application for real‐time street‐scale flood prediction in an urban coastal …
Mitigating the adverse impacts caused by increasing flood risks in urban coastal
communities requires effective flood prediction for prompt action. Typically, physics‐based 1 …
communities requires effective flood prediction for prompt action. Typically, physics‐based 1 …
Water level forecasting using deep learning time-series analysis: A case study of red river of the north
The Red River of the North is vulnerable to floods, which have caused significant damage
and economic loss to inhabitants. A better capability in flood-event prediction is essential to …
and economic loss to inhabitants. A better capability in flood-event prediction is essential to …
Comparison of statistical and MCDM approaches for flood susceptibility mapping in northern Iran
Accurate mapping of flood risk areas is the basis for providing basic information on flood
hazard reduction strategies and facilitates the relocation process. This study compared …
hazard reduction strategies and facilitates the relocation process. This study compared …
An efficient and stable hydrodynamic model with novel source term discretization schemes for overland flow and flood simulations
Numerical models solving the full 2‐D shallow water equations (SWEs) have been
increasingly used to simulate overland flows and better understand the transient flow …
increasingly used to simulate overland flows and better understand the transient flow …
Assessment of storm direct runoff and peak flow rates using improved SCS-CN models for selected forested watersheds in the Southeastern United States
Abstract Study region Southeastern United States Study focus The objective was to evaluate
the ability of two modified SCS-CN models to predict direct runoff (DRO) and peak discharge …
the ability of two modified SCS-CN models to predict direct runoff (DRO) and peak discharge …
Modeling urban coastal flood severity from crowd-sourced flood reports using Poisson regression and Random Forest
Sea level rise has already caused more frequent and severe coastal flooding and this trend
will likely continue. Flood prediction is an essential part of a coastal city's capacity to adapt to …
will likely continue. Flood prediction is an essential part of a coastal city's capacity to adapt to …
Is local flood hazard assessment in urban areas significantly influenced by the physical complexity of the hydrodynamic inundation model?
P Costabile, C Costanzo, G De Lorenzo… - Journal of Hydrology, 2020 - Elsevier
Flood hazard in urban areas is usually assessed by the estimations of parameters like flood
extent, water depths, flow velocities and other related quantities. These hydrodynamic …
extent, water depths, flow velocities and other related quantities. These hydrodynamic …