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[HTML][HTML] A novel framework for addressing uncertainties in machine learning-based geospatial approaches for flood prediction
Globally, many studies on machine learning (ML)-based flood susceptibility modeling have
been carried out in recent years. While majority of those models produce reasonably …
been carried out in recent years. While majority of those models produce reasonably …
A globally applicable framework for compound flood hazard modeling
Coastal river deltas are susceptible to flooding from pluvial, fluvial, and coastal flood drivers.
Compound floods, which result from the co-occurrence of two or more of these drivers …
Compound floods, which result from the co-occurrence of two or more of these drivers …
Challenges for compound coastal flood risk management in a warming climate: a case study of the Gulf Coast of the United States
Compound flooding (CF) events, driven by coincident/concurrent and mutually reinforcing
factors such as heavy rainfall, storm surges, and river discharge, pose severe threats to …
factors such as heavy rainfall, storm surges, and river discharge, pose severe threats to …
Flood modeling and baseline study in urban and high population environment: A case study of Majalaya, Indonesia
The Majalaya area is a vital part of the Bandung Metropolitan Area economy, exemplifying
an urbanized area prone to annual flooding in Indonesia. Even though multiple flood events …
an urbanized area prone to annual flooding in Indonesia. Even though multiple flood events …
Modelling compound flooding: a case study from Jakarta, Indonesia
The paper investigates compound flooding from waves, sea surge and river flow in northern
Jakarta, Indonesia, which is a global hotspot of flooding, by combining process-based …
Jakarta, Indonesia, which is a global hotspot of flooding, by combining process-based …
Are open-source hydrodynamic models efficient in quantifying flood risks over mountainous terrains? An exhaustive analysis over the Hindu-Kush-Himalayan region
Abstract The Hindu-Kush-Himalaya is abode to numerous severely flood-prone
mountainous stretches that distress vulnerable communities and cause massive destruction …
mountainous stretches that distress vulnerable communities and cause massive destruction …
[HTML][HTML] Seawater intrusion assessment along the Volturno River (Italy) via numerical modeling and spectral analysis
Surface and groundwater salinization are becoming a significant challenge to inland water
quality, negatively affecting people and ecosystems in coastal areas. Even if rivers provide …
quality, negatively affecting people and ecosystems in coastal areas. Even if rivers provide …
[HTML][HTML] Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models
Compound flood (CF) modeling enables the simulation of nonlinear water level dynamics in
which concurrent or successive flood drivers synergize, producing larger impacts than those …
which concurrent or successive flood drivers synergize, producing larger impacts than those …
A hybrid statistical–dynamical framework for compound coastal flooding analysis
Compound coastal flooding due to astronomic, atmospheric, oceanographic, and hydrologic
drivers poses severe threats to coastal communities. While physics-driven approaches are …
drivers poses severe threats to coastal communities. While physics-driven approaches are …
Floodplain surface‐water circulation dynamics: Congaree River, South Carolina, USA
A robustly calibrated and validated hydrodynamic model depicts flow patterns over a
topographically complex floodplain with a heterogeneous main channel levee. Simulations …
topographically complex floodplain with a heterogeneous main channel levee. Simulations …