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 …

Flood inundation modelling: A review of methods, recent advances and uncertainty analysis

J Teng, AJ Jakeman, J Vaze, BFW Croke… - … modelling & software, 2017 - Elsevier
This paper reviews state-of-the-art empirical, hydrodynamic and simple conceptual models
for determining flood inundation. It explores their advantages and limitations, highlights the …

Flood inundation prediction

PD Bates - Annual Review of Fluid Mechanics, 2022 - annualreviews.org
Every year flood events lead to thousands of casualties and significant economic damage.
Map** the areas at risk of flooding is critical to reducing these losses, yet until the last few …

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] U-FLOOD–Topographic deep learning for predicting urban pluvial flood water depth

R Löwe, J Böhm, DG Jensen, J Leandro… - Journal of …, 2021 - Elsevier
This study investigates how deep-learning can be configured to optimise the prediction of
2D maximum water depth maps in urban pluvial flood events. A neural network model is …

Rainwater harvesting for urban flood management–An integrated modelling framework

B Jamali, PM Bach, A Deletic - Water research, 2020 - Elsevier
It is well known that rainwater harvesting (RWH) can augment water supply and reduce
stormwater pollutant discharges. Due to the lack of continuous 2D modelling of urban flood …

A review of hydrodynamic and machine learning approaches for flood inundation modeling

F Karim, MA Armin, D Ahmedt-Aristizabal… - Water, 2023 - mdpi.com
Machine learning (also called data-driven) methods have become popular in modeling flood
inundations across river basins. Among data-driven methods, traditional machine learning …

[HTML][HTML] An integrated framework for high-resolution urban flood modelling considering multiple information sources and urban features

Y Wang, AS Chen, G Fu, S Djordjević, C Zhang… - … modelling & software, 2018 - Elsevier
High accuracy models are required for informed decision making in urban flood
management. This paper develops a new holistic framework for using information collected …

[LIVRE][B] Urban drainage

D Butler, C Digman, C Makropoulos, JW Davies - 2018 - taylorfrancis.com
This new edition of a well-established textbook covers the environmental and engineering
aspects of the management of rainwater and wastewater in areas of human development …

Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks

CAF do Lago, MH Giacomoni, R Bentivoglio… - Journal of …, 2023 - Elsevier
Two-dimensional hydrodynamic models are computationally expensive. This drawback can
limit their application to solving problems requiring real-time predictions or several …