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<p>This study presents a method for creating pluvial flood risk maps based on the Expected Damage Value, utilising the BEAM dataset. By combining standardised asset values with hydrodynamic flood simulations and land-use-specific damage functions provided by German LAWA, an economically grounded and spatially detailed risk assessment is achieved. The methodology is demonstrated using the Alche catchment in North Rhine-Westphalia, Germany, as a case study. The approach enables the generation of spatially differentiated flash flood risk maps. It is particularly suited for strategic assessments and cost-benefit analyses within regional pluvial flood risk management.</p>

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Integration des BEAM-Datensatzes in die risikobasierte Starkregenbewertung

  • 期刊论文

  • 发表日期：

    2026年1月6日

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  • Christoph Mudersbach,
  • Felix Simon,
  • Dana Mansouri,
  • Alexander Rathmer

摘要

This study presents a method for creating pluvial flood risk maps based on the Expected Damage Value, utilising the BEAM dataset. By combining standardised asset values with hydrodynamic flood simulations and land-use-specific damage functions provided by German LAWA, an economically grounded and spatially detailed risk assessment is achieved. The methodology is demonstrated using the Alche catchment in North Rhine-Westphalia, Germany, as a case study. The approach enables the generation of spatially differentiated flash flood risk maps. It is particularly suited for strategic assessments and cost-benefit analyses within regional pluvial flood risk management.