A review of intelligent models for mapping city development and urban flooding

P Senthilkumar, MP Arthur - Land Degradation & Development, 2023 - Wiley Online Library
With urbanization is on the rise, it wreaks havoc on the hydrological processes within a
catchment, resulting in a deteriorating water environment. Floods can greatly raise the cost …

Integrating deep learning, satellite image processing, and spatial-temporal analysis for urban flood prediction

N Mohamadiazar, A Ebrahimian, H Hosseiny - Journal of Hydrology, 2024 - Elsevier
Urban flooding is escalating worldwide due to the increasing impervious surfaces from
urban developments and frequency of extreme rainfall events by climate change. Traditional …

[HTML][HTML] A review of recent advances in urban flood research

C Agonafir, T Lakhankar, R Khanbilvardi, N Krakauer… - Water Security, 2023 - Elsevier
Due to a changing climate and increased urbanization, an escalation of urban flooding
occurrences and its aftereffects are ever more dire. Notably, the frequency of extreme storms …

Unraveling The Complexities of Urban Flood Hydraulics Through AI

MA Al Mehedi, V Smith, H Hosseiny, X Jiao - 2022 - researchsquare.com
As urbanization increases across the globe, urban flooding is an ever-pressing concern.
Urban fluvial systems are highly complex, depending on a myriad of interacting variables …

Deep Learning for Flood Prediction: Identifying Vulnerable Zones and Assessing Infrastructure-Induced Risks

A Kumar, V Veeraiah, S Padmapriya… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Many nations were still devastated by floods and similar disasters in recent years. Low-level
residents and those near water resources like lakes, dams, rivers, and reservoirs are hardest …

Physics informed data driven model for flood prediction: Application of deep learning in prediction of urban flood development

K Qian, A Mohamed, C Claudel - arXiv preprint arXiv:1908.10312, 2019 - arxiv.org
Flash floods in urban areas occur with increasing frequency. Detecting these floods would
greatlyhelp alleviate human and economic losses. However, current flood prediction …

Deep learning methods for flood mapping: A review of existing applications and future research directions

R Bentivoglio, E Isufi, SN Jonkman… - Hydrology and Earth …, 2021 - hess.copernicus.org
Deep Learning techniques have been increasingly used in flood risk management to
overcome the limitations of accurate, yet slow, numerical models, and to improve the results …

Deep learning methods for flood mapping: a review of existing applications and future research directions

R Bentivoglio, E Isufi, SN Jonkman… - Hydrology and earth …, 2022 - hess.copernicus.org
Deep learning techniques have been increasingly used in flood management to overcome
the limitations of accurate, yet slow, numerical models and to improve the results of …

Unraveling the complexities of urban fluvial flood hydraulics through AI

MAA Mehedi, V Smith, H Hosseiny, X Jiao - Scientific Reports, 2022 - nature.com
As urbanization increases across the globe, urban flooding is an ever-pressing concern.
Urban fluvial systems are highly complex, depending on a myriad of interacting variables …

Applications of advanced technologies in the development of urban flood models

Y Yan, N Zhang, H Zhang - Water, 2023 - mdpi.com
Over the past 10 years, urban floods have increased in frequency because of extreme
rainfall events and urbanization development. To reduce the losses caused by floods …