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Yakob Umer, Victor Jetten, Janneke Ettema and Gert-Jan Steeneveld
This study configures the Weather Research and Forecasting (WRF) model with the updated urban fraction for optimal rainfall simulation over Kampala, Uganda. The urban parameter values associated with urban fractions are adjusted based on literature revie...
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Menglin S. Jin, Yu Li and Debin Su
Using 1 km satellite remote sensing observations, this paper examines the clouds, aerosols, water vapor and surface skin temperature over Beijing to understand the possible urban system contributions to the extreme rainfall event on 21 July 2012 (i.e., 7...
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Salar Haghighatafshar, Jes La Cour Jansen, Henrik Aspegren and Karin Jönsson
Sustainable Drainage Systems (SuDS) can be considered the joint product of water engineering and urban planning and design since these systems must comply with hydraulic, hydrologic, and social-ecological functions. To enhance this joint collaboration, a...
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Cuimei Lv, Zhaoying Niu, Minhua Ling, Zening Wu, Yang Li and Denghua Yan
Due to the insufficient number and uneven distribution of urban rainfall stations, research on urban flooding disasters is limited. With the development of big data research, many scholars have applied big data to natural disaster research. In this paper...
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Jiale Qian, Yunyan Du, Fuyuan Liang, Jiawei Yi, Nan Wang, Wenna Tu, Sheng Huang, Tao Pei and Ting Ma
Understanding the public?s diverse linguistic expressions about rainfall and flood provides a basis for flood disaster studies and enhances linguistic and cultural awareness. However, existing research tends to overlook linguistic complexity, potentially...
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Jian Chen, Yaowei Li and Shanju Zhang
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Felipe Duque, Greg O?Donnell, Yanli Liu, Mingming Song and Enda O?Connell
Polders are low-lying areas located in deltas, surrounded by embankments to prevent flooding (river or tidal floods). They rely on pumping systems to remove water from the inner rivers (artificial rivers inside the polder area) to the outer rivers, espec...
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Christos Iliadis, Panagiota Galiatsatou, Vassilis Glenis, Panagiotis Prinos and Chris Kilsby
The expansion of urban areas and the increasing frequency and magnitude of intense rainfall events are anticipated to contribute to the widespread escalation of urban flood risk across the globe. To effectively mitigate future flood risks, it is crucial ...
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Andre D. L. Zanchetta, Paulin Coulibaly and Vincent Fortin
The use of machine learning (ML) for predicting high river flow events is gaining prominence and among its non-trivial design decisions is the definition of the quantitative precipitation estimate (QPE) product included in the input dataset. This study p...
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Daniel Jato-Espino and Shray Pathak
This paper concerns the design of a geographic location system to identify urban road sections susceptible to runoff accumulation through the analysis of the efficiency of surface drainage networks. To this end, a combination of Geographic Information Sy...
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Héctor A. Ballinas-González, Víctor H. Alcocer-Yamanaka, Javier J. Canto-Rios and Roel Simuta-Champo
Rainfall?runoff phenomena are among the main processes within the hydrological cycle. In urban zones, the increases in imperviousness cause increased runoff, originating floods. It is fundamental to know the sensitivity of parameters in the modeling of a...
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Tomasz Walczykiewicz and Magdalena Skonieczna
Flooding risk in urban areas is particularly high, due to the high population density and property values, including those of transport, residential, service and industrial infrastructure, among others. There are many reasons for flooding in urban areas;...
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Nino Krvavica and Josip Rubinic
This study investigates and compares several design storms for flood estimation in partially urbanized catchments. Six different design storms were considered: Euler II, alternating block method, average variability method, Huff?s curves, and uniform rai...
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Hoje Seong, Dong Sop Rhee and Inhwan Park
An urban flood in the Sadang area located in South Korea was reproduced using a rainfall simulator. The rainfall simulator was developed to be able to demonstrate the rainfall intensity in range of 80?200 mm/h, and the artificial rainfall was created usi...
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Hao-Yu Liao, Tsung-Yi Pan, Hsiang-Kuan Chang, Chi-Tai Hsieh, Jihn-Sung Lai, Yih-Chi Tan and Ming-Daw Su
Pluvial floods are the most frequent natural hazard impacting urban cities because of extreme rainfall intensity within short duration. Owing to the complex interaction between rainfall, drainage systems and overland flow, pluvial flood warning poses a c...
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Hiroto Tanouchi, Jonas Olsson, Göran Lindström, Akira Kawamura and Hideo Amaguchi
In this study, the high-resolution polygonal land cover data of EEA Urban Atlas was applied for land-use characterization in the dynamic multi-basin hydrological model, HYPE. The objective of the study was to compare this dedicated urban land cover data ...
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Mayra Codo and Miguel A. Rico-Ramirez
Radar rainfall forecasting is of major importance to predict flows in the sewer system to enhance early flood warning systems in urban areas. In this context, reducing radar rainfall estimation uncertainties can improve rainfall forecasts. This study uti...
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Mariusz Starzec, Józef Dziopak, Daniel Slys, Kamil Pochwat and Sabina Kordana
This article is aimed at defining the impact of the direction and velocity of waves of rainfall as they pass over interconnected stormwater detention tank systems. The simulations were conducted for a real urban catchment area as part of the Storm Water ...
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Laurent Guillaume Courty, Miguel Ángel Rico-Ramirez and Adrián Pedrozo-Acuña
The growth of urban population, combined with an increase of extreme events due to climate change call for a better understanding and representation of urban floods. The uncertainty in rainfall distribution is one of the most important factors that affec...
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Laurent Guillaume Courty, Miguel Ángel Rico-Ramirez and Adrián Pedrozo-Acuña
The growth of urban population, combined with an increase of extreme events due to climate change call for a better understanding and representation of urban floods. The uncertainty in rainfall distribution is one of the most important factors that affec...
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