Hydrodynamic modelling and risk analysis in RAMFLOOD project

Castellet, Ernest Bladé i; Gómez-Valentín, Manuel; Dolz, Josep; Sánchez‐Juny, Martí; Piazzese, Javier; Oñate, Eugenio; Corestein, Georgina

doi:10.1201/9780203883020.ch3

Cited by 2 publications

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“…Although conventional approaches are increasing urban drainage capacity (Liao, Hejia, & Yang, 2015; Smits, Nienhuis, & Saeijs, 2006), flood management strategies have expanded to include soft infrastructure and strategic planning using flood risk maps (Bladé, Gómez‐Valentín, & Sánchez‐juny, 2008; Diaz‐Nieto, Lerner, Saul, & Blanksby, 2012; Gain & Hoque, 2013; Luo, Kang, Apip, Lyu, & Aisyah, 2019; Price & Vojinovic, 2008). Scenario analysis and numerical simulations have become important methods for flood prediction, assessment, and management (Bubeck, Aerts, de Moel, & Kreibich, 2016; White & Greer, 2006).…”

Section: Introductionmentioning

confidence: 99%

Impact of temporal rainfall patterns on flash floods in Hue City, Vietnam

Luo

Lyu

et al. 2020

J Flood Risk Management

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Urban flooding is a perennial problem, especially in developing countries with relatively weak infrastructure under ever‐increasing stress due to climate change and human activities. We simulate the temporally variable flood‐water depth and inundation area under four designed rainfall patterns in the typical tropical rainforest city of Hue, Vietnam. The four rainfall types are R1 (peak at fifth hour), R2 (peak at 20th hour), R3 (peak at first hour), and R4 (peak at 13th hour). Results show that temporal rainfall pattern R4 with peak rainfall in the middle of the total period yielded the maximum water depth of 1.88 m. R3, with peak rainfall in the first hour, yields the shallowest maximum water depth and the largest inundation extent. When the water depth for R3 is 0.1–0.2 m, the inundated area caused by R3 is 3–4 times that of the other three patterns. Analysis of urban flood inundation in Hue provides a management tool to facilitate flood risk management in the context of extreme rainfall.

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Section: Introductionmentioning

confidence: 99%

Impact of temporal rainfall patterns on flash floods in Hue City, Vietnam

Luo

Lyu

et al. 2020

J Flood Risk Management

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“…This model solves the 2D Saint-Venant equation to calculate hydrodynamic flow using a shock-capturing explicit high-resolution finite-volume method (Bladé et al, 2008;TUoC, 2010). Input model boundary conditions are defined by the storm hydrograph output from ReFH for the four scenarios.…”

Section: Floodplain Modelmentioning

confidence: 99%

Using climate change projections in UK flood risk assessment

Woods¹

2015

Proceedings of the Institution of Civil Engineers - Water Manag

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In the UK, a disparity exists between modelled future weather/climatic patterns and the assessment of climate change impact on flood risk in the UK statutory planning process. Specifically, the impacts of climate change on the physical characteristics of a river catchment (e.g. land-use change, vegetation cover, soil moisture) are not considered when generating climate change weighted design flood events to assess the potential impact of flooding on a development in the future. Instead, a UK-wide averaged perturbation factor is applied. In this paper, a method is tested to integrate climate change data from UK climate projections 2009 (UKCP09) into design flood estimation methods (ReFH) as part of the current planning process. Scenarios are developed for a single, critical duration, 1%probability (1-in-100 year) design flood event that reflects plausible changes in catchment physical parameters in the 2080s. Initial results suggest that a 1-in-100 year storm in the 2080s may be greater in magnitude, rise and recede faster, and be associated with greater depths of flooding than predicted using current flood risk assessment frameworks in the UK. This information could provide new information to help developers choose more sustainable, flood-resistant and resilient designs. IntroductionUK climate change projections provide a wealth of information about how the climate will change in the future (Murphy et al., 2009). Among many common climate variables including temperature and precipitation, the projections also include soil moisture changes, humidity variations and storm frequency. These projections are available for a range of future horizons and, in many cases, the projections are probabilistic. A number of studies have taken these data to assess the possible future impact of climate change on rainfall intensity flooding (see works by Prudhomme et al. Current flood estimation techniques generally used by planners and developers utilise empirically derived relationships captured within the Flood Estimation Handbook (FEH) (IOH, 1999) to model rainfall-runoff as a storm hydrograph (ReFH) (see Kjeldsen et al. (2007) for further information). The ReFH method is able to produce storm hydrographs for a range of return periods within a catchment. These design floods can then be used as input boundary conditions within flood models as part of the flood risk assessment process. This process in itself is known to associate lower frequency rainfall events with flood events of a specific frequency (e.g. 1 in 100 years). It also does not assess any effects of the temporal distribution of rainfall that will drive unique groundwater responses that may significantly impact the rainfall-runoff relationship, particularly for permeable catchments (Faulkner and Barber, 2009;Wheater et al., 2002).Statutory UK planning regulations such as Planning Policy Statement 25 (PPS25) (DCLG, 2006) require climate change impacts on 1-in-100 year design floods to also be accounted for as part of the flood risk assessment process within UK plann...

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Hydrodynamic modelling and risk analysis in RAMFLOOD project

Cited by 2 publications

References 0 publications

Impact of temporal rainfall patterns on flash floods in Hue City, Vietnam

Impact of temporal rainfall patterns on flash floods in Hue City, Vietnam

Using climate change projections in UK flood risk assessment

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