European flash floods data collation and analysis

Bain, V.; Newinger, Olivier; Gaumé, Éric; Bernardara, Pietro; Barbuc, M .; Bateman, Allen; García, J. Colunga; Medina, V .; Sempere‐Torres, Daniel; Velasco, D.; Bla_kovi_ová, L .; Blöschl, Günter; Viglione, Alberto; Borga, Marco; Dumitrescu, Alexandru; Irimescu, Anișoara; Stăncălie, Gheorghe; Kohnová, Silvia; Szolgay, J.; Koutrou, A .

doi:10.1201/9780203883020.ch186

Flood Risk Management: Research and Practice 2008

DOI: 10.1201/9780203883020.ch186

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European flash floods data collation and analysis

V. Bain¹,

Olivier Newinger²,

Éric Gaumé³

et al.

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2024

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Combined use of physically based hydrological model and empirical models to improve parameterisation of erosion processes in a flash flood prone catchment

Hosseinzadeh,

Roux,

Cassan

et al. 2024

Earth Surf Processes Landf

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This study assesses the effectiveness of a distributed physically based hydrological model (MARINE) to investigate erosion estimation during flash floods compared with other widely used empirical models derived from the Universal Soil Loss Equation (USLE) like Revised Universal Soil Loss Equation (RUSLE) and Modified Universal Soil Loss Equation (MUSLE). It is carried out on a small catchment in south‐eastern France, the Claduègne catchment. To compare the erosion volumes simulated by the three models, MARINE, MUSLE and RUSLE, a sensitivity analysis on the model parameters is carried out. According to physics‐based simulations, flood events fall into two categories: those dominated by raindrop erosion and those dominated by shear stress erosion. The results show that the erosion simulated by the three methods are comparable, except for events dominated by raindrop erosion suggesting that further research is needed to improve raindrop erosion within MARINE. Simulations from the MARINE model provide access to the spatio‐temporal variability of erosion dynamics during the event and can also be used to produce erosion/deposition maps, which are useful for environmental decision‐makers and planners in identifying areas at risk from erosion and deposition hazards.

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Combined use of physically based hydrological model and empirical models to improve parameterisation of erosion processes in a flash flood prone catchment

Hosseinzadeh,

Roux,

Cassan

et al. 2024

Earth Surf Processes Landf

View full text Add to dashboard Cite

show abstract

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European flash floods data collation and analysis

Cited by 1 publication

References 1 publication

Combined use of physically based hydrological model and empirical models to improve parameterisation of erosion processes in a flash flood prone catchment

Combined use of physically based hydrological model and empirical models to improve parameterisation of erosion processes in a flash flood prone catchment

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