Application of the machine learning lightgbm model to the prediction of the water levels of the lower columbia river
Due to the strong nonlinear interaction with river discharge, tides in estuaries are
characterised as nonstationary and their mechanisms are yet to be fully understood. It …
characterised as nonstationary and their mechanisms are yet to be fully understood. It …
Application of the Variational Mode Decomposition (VMD) method to river tides
Tides in fluvial estuaries are distorted by non-stationary river discharge, which makes the
analysis of estuarine water levels less accurate when using the conventional tidal analysis …
analysis of estuarine water levels less accurate when using the conventional tidal analysis …
An improved machine learning-based model to predict estuarine water levels
The areas around estuaries are typically densely populated and economically developed.
Therefore, robust flood risk assessment in these areas is critical. One of the key elements of …
Therefore, robust flood risk assessment in these areas is critical. One of the key elements of …
Correction of nonstationary tidal prediction using deep-learning neural network models in tidal estuaries and rivers
Z Zhang, L Zhang, S Yue, J Wu, F Guo - Journal of Hydrology, 2023 - Elsevier
An operational tidal prediction method based on a combination of nonstationary harmonic
analysis and deep-learning neural network models is described. Nonstationary harmonic …
analysis and deep-learning neural network models is described. Nonstationary harmonic …
A data-driven model to quantify the impact of river discharge on tide-river dynamics in the Yangtze River estuary
Understanding the role of river discharge on tide-river dynamics is of essential importance
for sustainable water management (flood control, salt intrusion, and navigation) in estuarine …
for sustainable water management (flood control, salt intrusion, and navigation) in estuarine …
Study on the spatiotemporal variation of the Yangtze estuarine tidal species
Owing to the nonlinear influence of river discharge, estuarine tides are nonstationary and
more complicated than oceanic tides. This study investigated the spatiotemporal variation …
more complicated than oceanic tides. This study investigated the spatiotemporal variation …
Application of auto-regressive (AR) analysis to improve short-term prediction of water levels in the Yangtze estuary
Due to the complex interaction between the fluvial and tidal dynamics, estuarine tides are
less predictable than ocean tides. Although the non-stationary tidal harmonic analysis …
less predictable than ocean tides. Although the non-stationary tidal harmonic analysis …
Tidal propagation in the Lower Fraser River, British Columbia, Canada
We investigated the tidal propagation in the Lower Fraser River (LFR) in British Columbia,
Canada using observed water elevations, river discharge, and a hydrodynamic model. The …
Canada using observed water elevations, river discharge, and a hydrodynamic model. The …
Seasonally inundated area extraction based on long time-series surface water dynamics for improved flood mapping
B Zhao, J Wu, M Chen, J Lin, R Du - ISPRS Journal of Photogrammetry and …, 2024 - Elsevier
Abstract Accurate extraction of Seasonally Inundated Area (SIA) is pivotal for precise
delineation of Flood Inundation Area (FIA). Current methods predominantly rely on Water …
delineation of Flood Inundation Area (FIA). Current methods predominantly rely on Water …
Transfer sea level learning in the Bosphorus Strait by wavelet based machine learning methods
A Altunkaynak, E Kartal - Ocean Engineering, 2021 - Elsevier
Accurate prediction of sea level fluctuations is fundamental to coastal engineering. However,
limited monitoring service on a regional scale is the most important constraint in analyzing …
limited monitoring service on a regional scale is the most important constraint in analyzing …