Urban flood numerical simulation: Research, methods and future perspectives

P Luo, M Luo, F Li, X Qi, A Huo, Z Wang, B He… - … Modelling & Software, 2022 - Elsevier
Urban flooding has become an increasingly frequent and fatal natural hazard and numerical
modeling techniques play a vital role in its prediction and management. We review urban …

The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management

V Kumar, HM Azamathulla, KV Sharma, DJ Mehta… - Sustainability, 2023 - mdpi.com
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …

Flood risk in urban areas: Modelling, management and adaptation to climate change. A review

L Cea, P Costabile - Hydrology, 2022 - mdpi.com
The modelling and management of flood risk in urban areas are increasingly recognized as
global challenges. The complexity of these issues is a consequence of the existence of …

Urban surface water flood modelling–a comprehensive review of current models and future challenges

K Guo, M Guan, D Yu - Hydrology and Earth System Sciences, 2021 - hess.copernicus.org
Urbanisation is an irreversible trend as a result of social and economic development. Urban
areas, with high concentration of population, key infrastructure, and businesses, are …

[HTML][HTML] Urban flood modeling using deep-learning approaches in Seoul, South Korea

X Lei, W Chen, M Panahi, F Falah, O Rahmati… - Journal of …, 2021 - Elsevier
Identification of flood-prone sites in urban environments is necessary, but there is insufficient
hydraulic information and time series data on surface runoff. To date, several attempts have …

[HTML][HTML] An exploratory study of Sentinel-1 SAR for rapid urban flood mapping on Google Earth Engine

MT Islam, Q Meng - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Abstract Real-time, near-real-time, and accurate flood extent information is critical for
emergency response during disaster events such as floods. Accurate extents are critical for …

[HTML][HTML] A stacking ensemble model of various machine learning models for daily runoff forecasting

M Lu, Q Hou, S Qin, L Zhou, D Hua, X Wang, L Cheng - Water, 2023 - mdpi.com
Background: Open Access Editor's Choice Article A Stacking Ensemble Model of Various
Machine Learning Models for Daily Runoff Forecasting by Mingshen Lu 1, 2, Qinyao Hou 1 …

[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 …

Hydraulic modelling of inland urban flooding: recent advances

E Mignot, B Dewals - Journal of hydrology, 2022 - Elsevier
This review provides a synthesis of advances in our understanding of urban flood processes
and their modelling over the last four years (2018–2021). Four aspects are covered …

Urban resilience assessment: A multicriteria approach for identifying urban flood-exposed risky districts using multiple-criteria decision-making tools (MCDM)

M Mabrouk, H Haoying - International journal of disaster risk reduction, 2023 - Elsevier
As cities are vulnerable to diverse climate threats, operationalizing cities efficiently by
addressing flood risk becomes an irreversible step. So, our research developed a …