[HTML][HTML] A systematic review of trustworthy artificial intelligence applications in natural disasters
Artificial intelligence (AI) holds significant promise for advancing natural disaster
management through the use of predictive models that analyze extensive datasets, identify …
management through the use of predictive models that analyze extensive datasets, identify …
Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
Deep learning methods for flood map**: a review of existing applications and future research directions
Deep Learning techniques have been increasingly used in flood management to overcome
the limitations of accurate, yet slow, numerical models, and to improve the results of …
the limitations of accurate, yet slow, numerical models, and to improve the results of …
A review of remote sensing applications for water security: Quantity, quality, and extremes
Water resources are critical to the sustainability of life on Earth. With a growing population
and climate change, it is imperative to assess the security of these resources. Over the past …
and climate change, it is imperative to assess the security of these resources. Over the past …
Recent advances and new frontiers in riverine and coastal flood modeling
Over the past decades, the scientific community has made significant efforts to simulate
flooding conditions using a variety of complex physically based models. Despite all …
flooding conditions using a variety of complex physically based models. Despite all …
Fast simulation and prediction of urban pluvial floods using a deep convolutional neural network model
Y Liao, Z Wang, X Chen, C Lai - Journal of Hydrology, 2023 - Elsevier
Urban pluvial floods induced by rainstorms can cause severe losses to human lives and
property. Fast and accurate simulation and prediction of urban pluvial flood are of …
property. Fast and accurate simulation and prediction of urban pluvial flood are of …
A deep convolutional neural network model for rapid prediction of fluvial flood inundation
Most of the two-dimensional (2D) hydraulic/hydrodynamic models are still computationally
too demanding for real-time applications. In this paper, an innovative modelling approach …
too demanding for real-time applications. In this paper, an innovative modelling approach …
Spatial-temporal flood inundation nowcasts by fusing machine learning methods and principal component analysis
The frequency and severity of floods have noticeably increased worldwide in the last
decades due to climate change and urbanization. This study aims to build an urban flood …
decades due to climate change and urbanization. This study aims to build an urban flood …
Investigating the role of model structure and surface roughness in generating flood inundation extents using one‐and two‐dimensional hydraulic models
Hydraulic models play an important role in determining flood inundation areas. When
considering a wide array of one‐(1D) and two‐dimensional (2D) hydraulic models, selecting …
considering a wide array of one‐(1D) and two‐dimensional (2D) hydraulic models, selecting …
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 …