Numerical modelling and quantification of coastal urban compound flooding

Low-lying coastal cities are vulnerable to compound floods caused by many factors including river flows, tides and local rainfall. Many previous studies focus on the impacts of rainfall and tidal levels (two driving factors) on estuaries or regions near the main single river, while research about the three influencing factors on the floods...

A combined stability function to quantify flood risks to pedestrians and vehicle occupants

With the increase of the frequency and severity of flooding events, coupled with population growth, the risks posed to people from flooding is ever more apparent. This paper proposes a methodology to examine the risks posed to vehicles' occupants and pedestrians simultaneously in an urban context. Through considering stability functions of a...

PHyL v1.0: A parallel, flexible, and advanced software for hydrological and slope stability modeling at a regional scale

Physically-based hydrological-geotechnical modeling at large scales is difficult, especially due to the time-consuming nature of flow routing and 3D soil stability models. Although parallelization techniques are commonly used for each model individually, there is currently no concurrent parallelization strategy for both. This study proposed...

Event-based decision support algorithm for real-time flood forecasting in urban drainage systems using machine learning modelling

Urban flooding is a major problem for cities around the world, with significant socio-economic consequences. Conventional real-time flood forecasting models rely on continuous time-series data and often have limited accuracy, especially for longer lead times than 2 hrs. This study proposes a novel event-based decision support algorithm for...

Enhancing urban flood forecasting in drainage systems using dynamic ensemble-based data mining

This study presents a novel approach for urban flood forecasting in drainage systems using a dynamic ensemble-based data mining model which has yet to be utilised properly in this context. The proposed method incorporates an event identification technique and rainfall feature extraction to develop weak learner data mining models. These models...

Livelihood Capital Effects on Famers’ Strategy Choices in Flood-Prone Areas: A Study in Rural China

The global climate change has resulted in huge flood damages, which seriously hinders the sustainable development of rural economy and society and causes famers’ livelihood problems. In flood-prone areas, it is imperative to actively study short and long-term strategies and solve farmers’ livelihood problems accordingly. Following the...

Effects of microporous layer on electrolyte flooding in gas diffusion electrodes and selectivity of CO₂ electrolysis to CO

Understanding the relationship between gas diffusion electrode (GDE) structures and the performance of electrochemical CO₂ reduction reaction (CO₂RR) is crucial to developing industrial-scale technologies to convert CO₂ to valuable products. We studied how the microporous layer (MPL) on GDE's coated with...

A stochastic model of geomorphic risk due to episodic river aggradation and degradation

In some steep valleys, flood-induced changes in river bed elevation pose significantly greater risks to infrastructure than floodwaters alone. Over the short term, the river may aggrade or degrade by several meters during a single flood. Whereas floodwaters recede after each event, moreover, riverbed changes add up over successive floods. To...

Flash flood early warning coupled with hydrological simulation and the rising rate of the flood stage in a mountainous small watershed in Sichuan province, China

Flash floods in mountainous areas have become more severe and frequent as a result of climate change and are a threat to public safety and social development. This study explores the application of distributed hydrological models in flash floods risk management in a small watershed in Sichuan Province, China, and aims to increase early...

Scenario-based extreme flood risk of residential buildings and household properties in Shanghai

Extreme flooding usually causes huge losses of residential buildings and household properties, which is critical to flood risk analysis and flood resilience building in Shanghai. We developed a scenario-based multidisciplinary approach to analyze the exposure, losses and risks of residential buildings and household properties, and their...

Utilization of a C-band polarimetric radar for severe rainfall event analysis in complex terrain over eastern China

Polarimetric radar measurements and products perform as the cornerstones of modern severe weather warning and nowcast systems. Two radar quantitative precipitation estimation (QPE) frameworks, one based on a radar-gauge feedback mechanism and the other based on standard rain drop size distribution (DSD)-derived rainfall retrieval relationships,...

Het integraal ontwerpen van multifunctionele waterkeringen

Een onderzoeksprogramma van de TU Delft, Universiteit van Twente en Wageningen Universiteit heeft diverse ontwerpaspecten van zogenoemde multifunctionele waterkeringen onder de loep genomen. Dit artikel belicht het technisch en ruimtelijk ontwerpproces van dergelijke keringen, en het betrekken van stakeholders in dit proces.

Bescherming door multifunctionele waterkeringen

De organisatie voor Economische Samenwerking en Ontwikkeling schat dat in 2070 in grote havensteden wereldwijd 140 miljoen mensen en 30000 miljard euro aan economische waarde beschermd worden, Bescherming lijkt alleen mogelijk met multifunctionele waterkeringen.