ReAFFIRM: Real-time Assessment of Flash Flood Impacts – a Regional high-resolution Method

Ritter, Josias; Berenguer, Marc; Corral, Carles; Park, Shinju; Sempere‐Torres, Daniel

doi:10.1016/j.envint.2019.105375

Cited by 39 publications

(58 citation statements)

References 48 publications

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“…However, it should be verified that the gains related to input data accuracy are not masked by other sources of uncertainty (Dottori et al, 2013). The sensitivity to roughness values has also to be further investigated for an appropriate representation of uncertainties, and variable roughness values may also be defined depending on land cover (Sampson et al, 2015;Dottori et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…Hydraulic 2D SWE models have been applied for a long time at regional and continental scales (Pappenberger et al, 2012;Alfieri et al, 2014;Sampson et al, 2015;Dottori et al, 2016;Schumann et al, 2016) but at resolutions (100 m to 1 km) that are incompatible with the representation of small rivers (Fleischmann et al, 2019). The main factors limiting the resolution were both the availability of global highresolution DTMs (Schumann and Bates, 2018) but also the computation capacities.…”

Section: Introductionmentioning

confidence: 99%

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Performance of automated methods for flash flood inundation mapping: a comparison of a digital terrain model (DTM) filling and two hydrodynamic methods

Hocini

Payrastre

Bourgin

et al. 2021

Hydrol. Earth Syst. Sci.

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Abstract. Flash floods observed in headwater catchments often cause catastrophic material and human damage worldwide. Considering the large number of small watercourses possibly affected, the use of automated methods for flood inundation mapping at a regional scale can be of great help for the identification of threatened areas and the prediction of potential impacts of these floods. An application of three mapping methods of increasing level of complexity is presented herein, including a digital terrain model (DTM) filling approach (height above nearest drainage/Manning–Strickler or HAND/MS) and two hydrodynamic methods (caRtino 1D and Floodos 2D). These methods are used to estimate the flooded areas of three major flash floods observed during the last 10 years in southeastern France, i.e., the 15 June 2010 flooding of the Argens river and its tributaries (585 km of river reaches), the 3 October 2015 flooding of small coastal rivers of the French Riviera (131 km of river reaches) and the 15 October 2018 flooding of the Aude river and its tributaries (561 km of river reaches). The common features of the three mapping approaches are their high level of automation, their application based on a high-resolution (5 m) DTM, and their reasonable computation times. Hydraulic simulations are run in steady-state regime, based on peak discharges estimated using a rainfall–runoff model preliminarily adjusted for each event. The simulation results are compared with the reported flood extent maps and the high water level marks. A clear grading of the tested methods is revealed, illustrating some limits of the HAND/MS approach and an overall better performance of hydraulic models which solve the shallow water equations. With these methods, a good retrieval of the inundated areas is illustrated by critical success index (CSI) median values close to 80 %, and the errors on water levels remain mostly below 80 cm for the 2D Floodos approach. The most important remaining errors are related to limits of the DTM, such as the lack of bathymetric information, uncertainties on embankment elevation, and possible bridge blockages not accounted for in the models.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance of automated methods for flash flood inundation mapping: a comparison of a digital terrain model (DTM) filling and two hydrodynamic methods

Hocini

Payrastre

Bourgin

et al. 2021

Hydrol. Earth Syst. Sci.

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“…All reviewed depth-damage curves for Spanish regions have been jointly graphed and are presented in Figure 2. Ritter et al [47] conducted a flood damage assessment for the Spanish municipality of Agramunt, in which the depth-damage curves for Spain were selected from the database provided by Huizinga et al [19]. It was concluded that the total computed damage for an actual riverine flood event was clearly overestimated after being compared with the claims paid by the Spanish Insurance Compensation Consortium (CCS).…”

Section: Depth-damage Curves In Spainmentioning

confidence: 99%

Flood Depth‒Damage Curves for Spanish Urban Areas

et al. 2020

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Depth‒damage curves, also known as vulnerability curves, are an essential element of many flood damage models. A relevant characteristic of these curves is their applicability limitations in space and time. The reader will find firstly in this paper a review of different damage models and depth‒damage curve developments in the world, particularly in Spain. In the framework of the EU-funded RESCCUE project, site-specific depth‒damage curves for 14 types of property uses have been developed for Barcelona. An expert flood surveyor’s opinion was essential, as the occasional lack of data was made up for by his expertise. In addition, given the lack of national standardization regarding the applicability of depth‒damage curves for flood damage assessments in Spanish urban areas, regional adjustment indices have been derived for transferring the Barcelona curves to other municipalities. Temporal adjustment indices have been performed in order to modify the depth‒damage curves for the damage estimation of future flood events, too. This study attempts to provide nationwide applicability in flood damage reduction studies.

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“…It not only provides flood risk assessment but also directly translates the risk into the expected socio-economic impacts [123]. Along with flood or drought warning and prediction models, the integration of different information and tools, such as geographic information systems (GISs), satellite images, consensus data, the locations of critical structures, and socio-economic impact assessment tools, is necessary [123,124]. Impact assessment can be classified according to its evaluation time into pre-or during-disaster assessment.…”

Section: Floodmentioning

confidence: 99%

A General Overview of the Risk-Reduction Strategies for Floods and Droughts

Yang

Liu

2020

Sustainability

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Water is a limited resource but essential to sustaining life and supporting economic development. Only 2.5% of all the water on Earth is freshwater and can be used to meet basic human needs such as a clean supply of water for drinking, cooking, and bathing. Water scarcity is the result of an imbalance between supply and demand. Efficient water resource management is definitely of interest to research and is a practical topic. At the same time, water-related disasters such as floods and droughts cause the loss of life and property. Disasters increase the difficulty of effective water resource management. An increase in climate extremes can also increase the risk of floods and droughts. This overview covers 150 peer-reviewed journal publications from the last twenty years focusing on risk-reduction strategies for floods and droughts. First, a definition and classification of flood and drought was introduced. Second, studies and techniques associated with risk reduction were grouped into three themes and discussed: prediction and warning; monitoring; and impact assessment, response, and management. As a result, many studies were solely focused on, and achieve excellence in, their own themes. Special attention was needed to find in these studies what can convert the adverse impacts such as flood water to positive outcomes such as drought relief. Multidisciplinary cooperation is necessary to achieve sustainability and to adapt to climate change. Finally, advanced techniques such as artificial intelligence (AI) and the internet of things (IoT) were foreseen to have a tremendous impact on future disaster risk reduction.

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ReAFFIRM: Real-time Assessment of Flash Flood Impacts – a Regional high-resolution Method

Cited by 39 publications

References 48 publications

Performance of automated methods for flash flood inundation mapping: a comparison of a digital terrain model (DTM) filling and two hydrodynamic methods

Performance of automated methods for flash flood inundation mapping: a comparison of a digital terrain model (DTM) filling and two hydrodynamic methods

Flood Depth‒Damage Curves for Spanish Urban Areas

A General Overview of the Risk-Reduction Strategies for Floods and Droughts

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