Articles | Volume 20, issue 12
Nat. Hazards Earth Syst. Sci., 20, 3261–3277, 2020

Special issue: Advances in computational modelling of natural hazards and...

Nat. Hazards Earth Syst. Sci., 20, 3261–3277, 2020

Research article 03 Dec 2020

Research article | 03 Dec 2020

Forecasting flood hazards in real time: a surrogate model for hydrometeorological events in an Andean watershed

María Teresa Contreras et al.

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Cited articles

Amadio, P., Mancini, M., Menduni, G., Rabuffetti, D., and Ravazzani, G.: A real-time flood forecasting system based on rainfall thresholds working on the Arno Watershed: definition and reliability analysis, in: Proc. of the 5th EGS Plinius Conference, Corsica, France, 2003. a, b
ARRAU Ingeniería: Diseño de obras para el control aluvial y de crecidas líquidas en la Quebrada Ramón de la Región Metropolitana, Etapa II: Hidrología, Tech. rep., Dirección de Obras Hidráulicas (DOH), Santiago de Chile, 2015. a
Bennett, T.: Development and application of a continuous soil moisture accounting algorithm for the Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS), University of California, Davis, 1998. a
Bermúdez, M., Cea, L., and Puertas, J.: A rapid flood inundation model for hazard mapping based on least squares support vector machine regression, J. Flood Risk Manage., 12, 1–14,, 2018. a, b, c
Bras, R.: Hydrology: an introduction to hydrologic science, Addison-Wesley Reading, Boston, 1990. a
Short summary
The prediction of multiple scenarios of flood hazard in mountain regions is typically based on expensive high-resolution models that simulate the flood propagation using significant computational resources. In this investigation we develop a surrogate model that provides a rapid evaluation of the flood hazard using a statistical approach and precomputed scenarios. This surrogate model is an advanced tool that can be used for early warning systems and to help decision makers and city planners.
Final-revised paper