Extremes: (flash) floods

12 important questions on Extremes: (flash) floods

Give 2 definitions for flash floods?

See slide 2-3

What is the Brown Willy effect?

Particular example of a meteo phenomenon known as peninsular convergence.

Occurs on peninsulas, which are more elevated and rough, causing friction. These areas often have severy precipitation.

Friction and uplift creates a convergence zone near the central spine of the peninsula, leading to condensation of the moisture borne by tehm.
It is thought that the Boscastle flood of 2004 was caused by a particularly extreme example.

Which meteo phenomena cause a Hupsel vs a catchment scale peak discharge, possibly causing floods?

Convective cell: small water shed, eg Hupsel
Meso-Convective Scale:  catchment scale
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What is the relation between watershed area and peak discharge (in relation to flash floods)?

Over larger scales, peak discharge will usually be smaller

Knick point whereafter lag time increases more rapidly with increasing watershed area.

Accurate flash flood estimates are difficult to obtain, because (name 2):

  • Instrumentation might overflood, thus afterward individual field estimation of floodmarks, slope of peak, etc must be obtained
  • Hupsel was lucky case, since peak discharge occurred right there
  • They are rare

Runoff coefficient: how much rainfall ends up as runoff

Not as high as expected:
  • Storage capacity of the soil needs to fill up first
  • High volume of P necessary to get a reasonable runoff coefficient

How does the rating curve influence flash flood modelling?

Rating curve translating water height to Q is no longer valid in flash floods, as water levels are outside validity range of Q-h relations. Extrapolation occurs, but is often off by large factors (eg 5-10!).

Post-event surveys and interviews can help to estimate and constrain flow conditions during event.

What is the impact of rainfall distribution, which was also discussed by Lobligeois?

  • Aggregated data (min 33)
  • Forced model with different P resolution
  • Lumped run, different resolutions for distributed runs
  • Lumped approach does not really work
  • Some distribution really improves the model results
    • Especially for summer estimations of flash floods this is imperative!
    • In winter it is not as relevant'
    • Also for highly variable catchments (spatial?) it is relevant

What are the main influence factors on modelling flash floods?

  • Watershed area(?)
  • Runoff coefficient
  • Initial conditions
  • Rating curve
  • Rainfall distribution
  • Storm movement

Min 38/slide 27: What is effective rainfall?

Check answer in min 38

Influence of storm movement

Convective cell moved along the catchment at same rate as response of catchment.

Rainfall moved from upstream to outlet at more or less same speed as catchment response(=physical flood wave propagation). Good motivation of rainfall data, only source of info on how individual storms are moving.

Track movement, direction of movement wrt catchment area (in addition to P dist) is very important for flash flood forecasting and modelling.

Slide 30: wrapping up (min 41)

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Storm characteristics (distribution and movement)

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