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Martina Hauser, Stefan Reinstaller, Martin Oberascher, Dirk Muschalla and Manfred Kleidorfer
Owing to climate change, heavy rainfall events have increased in recent years, often resulting in urban flooding. Urban flood models usually consider buildings to be closed obstacles, which is not the case in reality. To address this research gap, an exi...
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Chang-Young Ha, Beom-Jin Kim, Jae-Nam Lee and Byung-Hyun Kim
In this study, the sensitivity of the parameters was analyzed using PEST (Parameter ESTimation) to improve the accuracy of the runoff and flooding analysis in urban areas. Using four parameters (watershed width, roughness coefficient of impervious and pe...
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Zhixiang Liu, Yuanji Chen, Wenjun Xiao, Wei Song and Yu Li
As an improved method of the lattice Boltzmann method (LBM), the regularized lattice Boltzmann method (RLBM) has been widely used to simulate fluid flow. For solving high Reynolds number problems, large eddy simulation (LES) and RLBM can be combined. The...
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Kazi Samsunnahar Mita, Philip Orton, Franco Montalto, Firas Saleh and Julia Rockwell
Flooding is becoming more frequent along U.S. coastlines due to the rising impacts of fluvial and coastal flood sources, as well as their compound effects. However, we have a limited understanding of mechanisms whereby sea level rise (SLR) changes flood ...
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Benjamin Burrichter, Julian Hofmann, Juliana Koltermann da Silva, Andre Niemann and Markus Quirmbach
This study presents a deep-learning-based forecast model for spatial and temporal prediction of pluvial flooding. The developed model can produce the flooding situation for the upcoming time steps as a sequence of flooding maps. Thus, a dynamic overview ...
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Guo Li, Huadong Zhao, Chengshuai Liu, Jinfeng Wang and Fan Yang
In order to realize the reproduction and simulation of urban rainstorm and waterlogging scenarios with complex underlying surfaces, based on the 1D?2D coupled models, we constructed an urban storm?flood coupling model considering one-dimensional river ch...
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Jayanga T. Samarasinghe, Vindhya Basnayaka, Miyuru B. Gunathilake, Hazi M. Azamathulla and Upaka Rathnayake
The application of numerical models to understand the behavioural pattern of a flood is widely found in the literature. However, the selection of an appropriate hydraulic model is highly essential to conduct reliable predictions. Predicting flood dischar...
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Georgios Mitsopoulos, Michalis Diakakis, Aristeides Bloutsos, Efthymios Lekkas, Evangelos Baltas and Anastasios Stamou
We pose the following research question: ?what is the effect of flood protection works on flood risk?? To answer this question, we developed a flood risk assessment method that combines the typical hazard assessment via integrated hydrological and hydrod...
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Andreas Efstratiadis, Panagiotis Dimas, George Pouliasis, Ioannis Tsoukalas, Panagiotis Kossieris, Vasilis Bellos, Georgia-Konstantina Sakki, Christos Makropoulos and Spyridon Michas
We propose a novel probabilistic approach to flood hazard assessment, aiming to address the major shortcomings of everyday deterministic engineering practices in a computationally efficient manner. In this context, the principal sources of uncertainty ar...
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Carlos Martínez, Zoran Vojinovic and Arlex Sanchez
This paper presents the performance quantification of different green-grey infrastructures, including rainfall-runoff and infiltration processes, on the overland flow and its connection with a sewer system. The present study suggests three main component...
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