Surf zone bathymetry and circulation predictions via data assimilation of remote sensing observations
GW Wilson, HT Özkan‐Haller… - Journal of …, 2014 - Wiley Online Library
Bathymetry is a major factor in determining nearshore and surf zone wave transformation
and currents, yet is often poorly known. This can lead to inaccuracy in numerical model …
and currents, yet is often poorly known. This can lead to inaccuracy in numerical model …
Enhanced flood forecasting through ensemble data assimilation and joint state-parameter estimation
Accurate water level forecasts during flood events are crucial to mitigate the loss of human
lives and economic damages. However, the accuracy of flood models can be affected by …
lives and economic damages. However, the accuracy of flood models can be affected by …
Deep learning technique for fast inference of large-scale riverine bathymetry
Riverine bathymetry is of crucial importance for shipping operations and flood management.
However, obtaining direct measurements of depth is not always easy. Conversely, with …
However, obtaining direct measurements of depth is not always easy. Conversely, with …
Application of deep learning to large scale riverine flow velocity estimation
Fast and reliable prediction of riverine flow velocities plays an important role in many
applications, including flood risk management. The shallow water equations (SWEs) are …
applications, including flood risk management. The shallow water equations (SWEs) are …
Bathymetry inversion using a deep‐learning‐based surrogate for shallow water equations solvers
River bathymetry is critical for many aspects of water resources management. We propose
and demonstrate a bathymetry inversion method using a deep‐learning‐based surrogate for …
and demonstrate a bathymetry inversion method using a deep‐learning‐based surrogate for …
Bed topography inference from velocity field using deep learning
M Kiani-Oshtorjani, C Ancey - Water, 2023 - mdpi.com
Measuring bathymetry has always been a major scientific and technological challenge. In
this work, we used a deep learning technique for inferring bathymetry from the depth …
this work, we used a deep learning technique for inferring bathymetry from the depth …
Riverine bathymetry imaging with indirect observations
Bathymetry, ie, depth, imaging in a river is of crucial importance for shipping operations and
flood management. With advancements in sensor technology and plentiful computational …
flood management. With advancements in sensor technology and plentiful computational …
Improving flood inundation modeling skill: Interconnection between model parameters and boundary conditions
N Oruc Baci, K Jafarzadegan, H Moradkhani - Modeling Earth Systems …, 2024 - Springer
Flooding is one of the most notorious natural disasters that adversely impact people's lives,
and damages their properties. To properly simulate the flood waves, two-dimensional …
and damages their properties. To properly simulate the flood waves, two-dimensional …
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry
Estimation of riverbed profiles, also known as bathymetry, plays a vital role in many
applications, such as safe and efficient inland navigation, prediction of bank erosion, land …
applications, such as safe and efficient inland navigation, prediction of bank erosion, land …
Hydrodynamic modelling and model sensitivities to bed roughness and bathymetry offset in a micro-tidal estuary
M Khanarmuei, K Suara, J Sumihar… - Journal of …, 2020 - iwaponline.com
Tidal estuaries support everyday functions for over 80% of Australia's population living
within 50 km of the coastline and thus come under immense pressure of physicochemical …
within 50 km of the coastline and thus come under immense pressure of physicochemical …