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1 – 1 of 1Victor Marchezini, Joao Porto de Albuquerque, Vangelis Pitidis, Conrado de Moraes Rudorff, Fernanda Lima-Silva, Carolin Klonner and Mário Henrique da Mata Martins
The study aims to identify the gaps and the potentialities of citizen-generated data in four axes of warning system: (1) risk knowledge, (2) flood forecasting and monitoring, (3…
Abstract
Purpose
The study aims to identify the gaps and the potentialities of citizen-generated data in four axes of warning system: (1) risk knowledge, (2) flood forecasting and monitoring, (3) risk communication and (4) flood risk governance.
Design/methodology/approach
Research inputs for this work were gathered during an international virtual dialogue that engaged 40 public servants, practitioners, academics and policymakers from Brazilian and British hazard and risk monitoring agencies during the Covid-19 pandemic.
Findings
The common challenges identified were lack of local data, data integration systems, data visualisation tools and lack of communication between flood agencies.
Originality/value
This work instigates an interdisciplinary cross-country collaboration and knowledge exchange, focused on tools, methods and policies used in the Brazil and the UK in an attempt to develop trans-disciplinary innovative ideas and initiatives for informing and enhancing flood risk governance.
Details