Publications

Below you will find an overview of study sites in scientific literature that has used current or previous versions of the FastFlood model.

• Article on the updated algorithms:
  Exponentially cascaded cross-sectional volume estimates from elevation data, Bout & Glas, 2024 (under review)
• The full article describing the method (Pre-Print):
  A breakthrough in fast flood simulation, Bout et al., 2023 (under review)
  The published article is available on Journal of Environmental Software and Modelling.
• The original EGU talk in 2021:
  van den Bout, B. (2022, May). Super-fast flash flood simulation using steady-state flow solvers. In EGU General Assembly Conference Abstracts (pp. EGU22-6953).
• Some of the research that led to the methods development:
  Bout, V. B., & Jetten, V. G. (2018). The validity of flow approximations when simulating catchment-integrated flash floods. Journal of hydrology, 556, 674-688.

Master Thesis Research

The following documents detail master students whose research made use of the FastFlood tool.

• Assessing the Impacts of Compounding Hazards Like Heat Waves and Floods in Kerala, India (F. Kolaparambil, 2024)
• The Influence of Urban Morphology on Flood Susceptibility in Slums in a Data Scarce Environment Using Machine Learning (J. Munyi, 2024)
• Development of Digital Twin Framework for Decision Support in Flood Risk Management (S. Rajendran, 2024)
• Integrating Probabilistic Weather Forecasting for Flood Early Warning in Dominica (K. van Roon, 2024)
• Application of the FastFlood Simulation Model for Local Risk-Informated Decision-Making on Flood Risk Reduction: A Case Study of Pamba Basin, Kerala, India (V. Glas, 2023)