Flood risk in urban areas: Modelling, management and adaptation to climate change. A review
L Cea, P Costabile - Hydrology, 2022 - mdpi.com
The modelling and management of flood risk in urban areas are increasingly recognized as
global challenges. The complexity of these issues is a consequence of the existence of …
global challenges. The complexity of these issues is a consequence of the existence of …
Comprehensive overview of flood modeling approaches: A review of recent advances
As one of nature's most destructive calamities, floods cause fatalities, property destruction,
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …
Flood inundation prediction
PD Bates - Annual Review of Fluid Mechanics, 2022 - annualreviews.org
Every year flood events lead to thousands of casualties and significant economic damage.
Mapping the areas at risk of flooding is critical to reducing these losses, yet until the last few …
Mapping the areas at risk of flooding is critical to reducing these losses, yet until the last few …
城市洪涝模拟应用场景及相应技术策略.
张红萍， 李敏， 贺瑞敏， 臧文斌… - Advances in Water …, 2022 - search.ebscohost.com
城市洪涝模拟是当前国内外城市防洪减灾领域研究的热点. 现有城市洪涝模拟方面的评述,
主要依据城市洪涝过程或模拟计算方法进行分类讨论, 缺乏基于应用需求的视角 …
主要依据城市洪涝过程或模拟计算方法进行分类讨论, 缺乏基于应用需求的视角 …
Integrated machine learning methods with resampling algorithms for flood susceptibility prediction
E Dodangeh, B Choubin, AN Eigdir, N Nabipour… - Science of the Total …, 2020 - Elsevier
Flood susceptibility projections relying on standalone models, with one-time train-test data
splitting for model calibration, yields biased results. This study proposed novel integrative …
splitting for model calibration, yields biased results. This study proposed novel integrative …
New hybrids of anfis with several optimization algorithms for flood susceptibility modeling
This study presents three new hybrid artificial intelligence optimization models—namely,
adaptive neuro-fuzzy inference system (ANFIS) with cultural (ANFIS-CA), bees (ANFIS-BA) …
adaptive neuro-fuzzy inference system (ANFIS) with cultural (ANFIS-CA), bees (ANFIS-BA) …
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 …
Performances of the new HEC-RAS version 5 for 2-D hydrodynamic-based rainfall-runoff simulations at basin scale: Comparison with a state-of-the art model
The Hydrologic Engineering Centre-River Analysis System (HEC-RAS), developed by the
US Army Corps of Engineers, is one of the most known, analyzed and used model for flood …
US Army Corps of Engineers, is one of the most known, analyzed and used model for flood …
Is HEC-RAS 2D accurate enough for storm-event hazard assessment? Lessons learnt from a benchmarking study based on rain-on-grid modelling
Abstract Rain-on-Grid (RoG) modelling is an increasingly popular approach within the storm
risk management, in which the hydrological and hydrodynamic flood processes are …
risk management, in which the hydrological and hydrodynamic flood processes are …
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 …