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Tiziana De Filippis, Leandro Rocchi, Giovanni Massazza, Alessandro Pezzoli, Maurizio Rosso, Mohamed Housseini Ibrahim and Vieri Tarchiani
Emerging hydrological services provide stakeholders and political authorities with useful and reliable information to support the decision-making process and develop flood risk management strategies. Most of these services adopt the paradigm of open data...
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Paul Muñoz, Johanna Orellana-Alvear, Jörg Bendix, Jan Feyen and Rolando Célleri
Worldwide, machine learning (ML) is increasingly being used for developing flood early warning systems (FEWSs). However, previous studies have not focused on establishing a methodology for determining the most efficient ML technique. We assessed FEWSs wi...
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Rafea Al-Suhili, Cheila Cullen and Reza Khanbilvardi
Urban flooding is a frequent problem affecting cities all over the world. The problem is more significant now that the climate is changing and urbanization trends are increasing. Various, physical hydrological models such as the Environmental Protection ...
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Javier G. Corripio and Juan Ignacio López-Moreno
From 18 to 19 June 2013, the Ésera river in the Pyrenees, Northern Spain, caused widespread damage due to flooding as a result of torrential rains and sustained snowmelt. We estimate the contribution of snow melt to total discharge applying a snow energy...
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