A breakthrough in fast flood simulation

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

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Authors

Bastian Van den Bout, Victor Jetten, Cees J. van Westen , Luigi Lombardo 

Abstract

The current status of technological advancement does not allow to generate complete flood simulations in real-time for large geographic areas. This hinders warning-systems, interactive planning tools and detailed forecasts and as a consequence the population cannot be quickly or reliably informed of where large masses of water will flow. Our novel method computes flood hazard maps over three orders of magnitude faster than current state-of-the-art methods. It applies physically-based principles of steady-state flow to evade full dynamic aspects of flood simulations. It directly estimates the relevant information for flood hazard, such as peak flow height, velocity and flood arrival time. Performance indicators show similar or exceeding accuracy compared to traditional flow models depending on the type of event and quality of the used elevation data. In our tests, computational costs are reduced on average by a factor 1500. As a result, the developed method provides new perspective for the field of flood hazards, flood risk reduction through new types of early-warning systems, and user-interactive hazard assessment systems. As climate change is expected to aggravate flood hazard, the presented method can bring necessary efficiency to flood simulation and thereby save lives and livelihoods.

DOI

https://doi.org/10.31223/X5MM2Z

Subjects

Fluid Dynamics, Hydrology

Keywords

Flow networks, Algorithms, forecasting, floods, algorithms, Forecasting

Dates

Published: 2022-12-05 12:12

Last Updated: 2022-12-05 12:12

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
none

Data Availability (Reason not available):
https://github.com/bastianvandenbout/LISEM

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