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Accurate flood models require large amounts of data inputs which are not always available. Recently data coming from other sources, such as crowdsourced data, have been increasingly explored in the scientific literature. However, there is no clear methodology showing where willing citizens could go for data collection. Thus, this study proposes an optimization framework to generate and prioritize pathways that citizens could take while collecting data. The proposed framework is tested on the Sontea-Fortuna area, part of the Danube Delta, where water stagnation is threatening the local ecosystems. Among the pathways generated, results analysis showed that pathways closer to the starting point were more effective.

Flood Modelling and Citizen Observatories: Analysing Pathways for Data Collection in the Sontea-Fortuna Case Study