[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 …

Sea-level rise and flood map**: a review of models for coastal management

SDDM Déguénon, R Adade, O Teka, DW Aheto… - Natural Hazards, 2024 - Springer
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 …

Flood susceptibility modeling of the Karnali river basin of Nepal using different machine learning approaches

S Duwal, D Liu, PM Pradhan - Geomatics, Natural Hazards and …, 2023 - Taylor & Francis
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 …

Flood susceptibility prediction using MaxEnt and frequency ratio modeling for Kokcha River in Afghanistan

AB Qasimi, V Isazade, R Berndtsson - Natural Hazards, 2024 - Springer
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 …

Application of artificial intelligence in digital twin models for stormwater infrastructure systems in smart cities

A Sharifi, AT Beris, AS Javidi, MS Nouri… - Advanced Engineering …, 2024 - Elsevier
Digital twins provide insights into physical objects by serving as advanced virtual
representations. Their sensors capture detailed information about an object's functionality …

Impacts of DEM type and resolution on deep learning-based flood inundation map**

M Fereshtehpour, M Esmaeilzadeh, RS Alipour… - Earth Science …, 2024 - Springer
The increasing availability of hydrological and physiographic spatiotemporal data has
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

N Murtaza, GA Pasha, ZU Khan, S Alotaibi, Z Akbar… - Physics of …, 2024 - pubs.aip.org
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 …

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 …

[HTML][HTML] Identifying suitable zones for integrated aquifer recharge and flood control in arid Qatar using GIS-based multi-criteria decision-making

S Aloui, A Zghibi, A Mazzoni, A Elomri… - Groundwater for …, 2024 - Elsevier
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 …

[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 …