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Causative classification of river flood events.

Larisa Tarasova1, Ralf Merz1, Andrea Kiss2

  • 1Department Catchment Hydrology Helmholtz Centre for Environmental Research Halle (Saale) Germany.

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|August 20, 2019
PubMed
Summary

Classifying river floods by their causes improves flood frequency estimates and change detection. A review highlights the need for unified definitions and more robust, transferable classification methods for better flood understanding.

Keywords:
flood genesisflood mechanismsflood typologyhistorical floodshydroclimatology of floods

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Area of Science:

  • Science of Water: Water Extremes
  • Science of Water: Hydrological Processes
  • Science of Water: Methods

Background:

  • River flood characteristics (timing, duration, extent, severity) are controlled by diverse processes.
  • Accurate flood frequency estimates and change detection benefit from classifying events by causative processes.

Purpose of the Study:

  • Critically review existing classifications of flood events based on causative processes.
  • Discuss the validity, applications, and limitations of current flood classification frameworks.
  • Identify opportunities for developing more comprehensive and robust flood classification approaches.

Main Methods:

  • Review of existing literature on instrumental and pre-instrumental flood event classifications.
  • Analysis of hydroclimatic, hydrological, and hydrograph-based classification perspectives.
  • Identification of limitations, including lack of unified definitions and insufficient uncertainty analysis.

Main Results:

  • No unified definition of flood-generating mechanisms currently exists.
  • Existing classification frameworks (hydroclimatic, hydrological, hydrograph-based) capture flood processes at various scales but lack robustness.
  • Limited uncertainty analyses hinder the transferability of classification methods across regions.

Conclusions:

  • More rigorous testing and uncertainty analyses are needed for flood classification methods.
  • Extending classification to include space-time rainfall dynamics, antecedent wetness, and routing effects will enhance flood understanding and estimation.
  • Developing comprehensive approaches is crucial for improving flood prediction and management.