A comprehensive review of coastal compound flooding literature
Compound flooding, where the combination or successive occurrence of two or more flood
drivers leads to an extreme impact, can greatly exacerbate the adverse consequences …
drivers leads to an extreme impact, can greatly exacerbate the adverse consequences …
Integrated hydrodynamic and machine learning models for compound flooding prediction in a data-scarce estuarine delta
J Sampurno, V Vallaeys, R Ardianto… - Nonlinear Processes in …, 2022 - npg.copernicus.org
Flood forecasting based on hydrodynamic modeling is an essential non-structural measure
against compound flooding across the globe. With the risk increasing under climate change …
against compound flooding across the globe. With the risk increasing under climate change …
The contribution of typhoon local and remote forcings to storm surge along the Makou-Dahengqin tidal reach of Pearl River Estuary
Due to the interaction between upstream discharge and astronomical tides in tidal reaches,
the typhoon-induced storm surge processes are quite different from that in other coastal …
the typhoon-induced storm surge processes are quite different from that in other coastal …
Impact of tides and surges on fluvial floods in coastal regions
H Liang, X Zhou - Remote Sensing, 2022 - mdpi.com
Fluvial floods in coastal areas are affected by tides and storm surges, while the impact is
seldom quantified because the dynamics of seawater levels are often not represented in …
seldom quantified because the dynamics of seawater levels are often not represented in …
Mangroves as nature-based mitigation for ENSO-driven compound flood risks in a large river delta
I Pelckmans, JP Belliard, O Gourgue… - Hydrology and Earth …, 2024 - hess.copernicus.org
Densely populated coastal river deltas are very vulnerable to compound flood risks coming
from both oceanic and riverine sources. Climate change may increase these compound …
from both oceanic and riverine sources. Climate change may increase these compound …
Integrated machine learning and GIS-based bathtub models to assess the future flood risk in the Kapuas River Delta, Indonesia
As more and more people live near the sea, future flood risk must be properly assessed for
sustainable urban planning and coastal protection. However, this is rarely the case in …
sustainable urban planning and coastal protection. However, this is rarely the case in …
[HTML][HTML] Formulating a warning threshold for coastal compound flooding: A copula-based approach
MY Lin, MH Sun, WY Sun, HS Fu, WB Chen… - Ecological …, 2024 - Elsevier
To calculate warning thresholds for compound-flooding events triggered by heavy rainfall
coupled with storm tides in Taiwan's coastal urban areas, we applied copula-based analysis …
coupled with storm tides in Taiwan's coastal urban areas, we applied copula-based analysis …
Desensitised flood risk perception to extensive disasters in a marginalised urban kampong in Indonesia
Worldwide, flood risk is on the rise. Simultaneously, the UNDRR fears that humanity's risk
perception is broken. Low-intensity, high-frequency extensive floods are cumulatively the …
perception is broken. Low-intensity, high-frequency extensive floods are cumulatively the …
Numerical simulation of the flood and inundation caused by typhoon Noru downstream from the Vu Gia-Thu Bon River basin
Typhoon Noru (2022) was a historic storm that caused significant damage to the central
region of Vietnam. Typhoon Noru has caused strong winds and torrential rainfall in Da …
region of Vietnam. Typhoon Noru has caused strong winds and torrential rainfall in Da …
Deep-Learning-Based LSTM Model for Predicting a Tidal River's Water Levels: A Case Study of the Kapuas Kecil River, Indonesia
Accurate prediction of water levels in tidal rivers is crucial for effective disaster management
in coastal areas. This study uses the LSTM deep learning method to forecast the water level …
in coastal areas. This study uses the LSTM deep learning method to forecast the water level …