[HTML][HTML] State-of-the-Art Techniques for Real-Time Monitoring of Urban Flooding: A Review
J Song, Z Shao, Z Zhan, L Chen - Water, 2024 - mdpi.com
In the context of the increasing frequency of urban flooding disasters caused by extreme
weather, the accurate and timely identification and monitoring of urban flood risks have …
weather, the accurate and timely identification and monitoring of urban flood risks have …
Sea-level rise and flood map**: a review of models for coastal management
In the face of current uncertainties about the processes of climate change and its
consequences, the search for possible response strategies is urgently needed. One of the …
consequences, the search for possible response strategies is urgently needed. One of the …
Flood susceptibility modeling of the Karnali river basin of Nepal using different machine learning approaches
Abstract The Karnali River Basin (KRB) comprises the longest river in Nepal, located south
of the Himalayas. Despite its high susceptibility to floods, the basin lacks detailed studies …
of the Himalayas. Despite its high susceptibility to floods, the basin lacks detailed studies …
Flood susceptibility prediction using MaxEnt and frequency ratio modeling for Kokcha River in Afghanistan
Flooding is a natural but unavoidable disaster that occurs over time. Flooding threatens
human life, property, and resources and affects regional and national economies. Through …
human life, property, and resources and affects regional and national economies. Through …
Application of artificial intelligence in digital twin models for stormwater infrastructure systems in smart cities
Digital twins provide insights into physical objects by serving as advanced virtual
representations. Their sensors capture detailed information about an object's functionality …
representations. Their sensors capture detailed information about an object's functionality …
Impacts of DEM type and resolution on deep learning-based flood inundation map**
The increasing availability of hydrological and physiographic spatiotemporal data has
boosted machine learning's role in rapid flood map**. Yet, data scarcity, especially high …
boosted machine learning's role in rapid flood map**. Yet, data scarcity, especially high …
Impact of dyke and vegetation on fluid force and moment reduction under sub and supercritical flow conditions
Flooding is the most common natural disaster throughout the world and requires efficient
management. Therefore, the current investigation aimed to explore the impact of a …
management. Therefore, the current investigation aimed to explore the impact of a …
Flood Hazard Assessment in Australian Tropical Cyclone-Prone Regions
M Kaspi, Y Kuleshov - Climate, 2023 - mdpi.com
This study investigated tropical cyclone (TC)-induced flooding in coastal regions of Australia
due to the impact of TC Debbie in 2017 utilising a differential evolution-optimised random …
due to the impact of TC Debbie in 2017 utilising a differential evolution-optimised random …
[HTML][HTML] Identifying suitable zones for integrated aquifer recharge and flood control in arid Qatar using GIS-based multi-criteria decision-making
Groundwater resources in arid regions play a vital role in meeting water demands; however,
they are facing rapid depletion due to unsustainable exploitation practices, exacerbated by …
they are facing rapid depletion due to unsustainable exploitation practices, exacerbated by …
[HTML][HTML] Flood susceptibility analysis to sustainable development using MCDA and support vector machine models by GIS in the selected area of the Teesta River …
S Akhter, MM Rahman, MM Monir - HydroResearch, 2025 - Elsevier
Managing flood risks to ensure sustainable development, this research analyses the flood
susceptibility in the selected area of the Teesta River floodplain in Bangladesh using the …
susceptibility in the selected area of the Teesta River floodplain in Bangladesh using the …