Articles | Volume 19, issue 11
Nat. Hazards Earth Syst. Sci., 19, 2583–2595, 2019
https://doi.org/10.5194/nhess-19-2583-2019

Special issue: Hydroclimatic extremes and impacts at catchment to regional...

Nat. Hazards Earth Syst. Sci., 19, 2583–2595, 2019
https://doi.org/10.5194/nhess-19-2583-2019

Research article 20 Nov 2019

Research article | 20 Nov 2019

Towards an automatic early warning system of flood hazards based on precipitation forecast: the case of the Miño River (NW Spain)

José González-Cao et al.

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Cited articles

Alfieri, L., Salamon, P., Pappenberger, F., Wetterhall, F., and Thielen, J.: Operational early warning systems for water-related hazards in Europe, Environ. Sci. Policy, 21, 35–49, https://doi.org/10.1016/j.envsci.2012.01.008, 2012. 
Alfieri, L., Pappenberger, F., Wetterhall, F., Haiden, T., Richardson, D., and Salamon. P.: Evaluation of ensemble streamflow predictions in Europe, J. Hydrol., 517, 913–922, https://doi.org/10.1016/j.jhydrol.2014.06.035, 2014. 
Alfieri, L., Bisselink, B., Dottori, F., Naumann, G., de Roo, A., Salamon, P., Wyser, K., and Feyen, L.: Global projections of river flood risk in a warmer world, Earth's Future, 5, 171–182, https://doi.org/10.1002/2016EF000485, 2017. 
Baudoin, M., Henly-Shepard, S., Fernando, N., Sitati, A., and Zommers, Z.: Early warning systems and livelihood resilience: exploring opportunities for community participation, UNU-EHS Working Paper Series, No. 1, United Nations University Institute of Environment and Human Security (UNU-EHS), Bonn, 2014. 
Bladé, E., Cea, L., Corestein, G., Escolano, E., Puertas, J., Vázquez-Cendón, E., Dolz, J., and Coll, A.: Iber -River modelling simulation tool [Iber: herramienta de simulación numérica del flujo en ríos], Revista Internacional de Metodos Numericos para Calculo y Diseno en Ingenieria, 30, 1–10, https://doi.org/10.1016/j.rimni.2012.07.004, 2014. 
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An early-warning system (EWS) for flood prediction was developed in the upper reach of the Miño River and the city of Lugo (NW Spain). This EWS can provide accurate results in less than 1 h, for a forecast horizon of 3 d, and report an alert situation to decision makers in order to mitigate the consequences of floods. In addition, this EWS can be easily adapted for any area of the world since the required input data and software are freely available.
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