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An Innovative Web Platform for Flood Risk Management

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Advances in Network Systems (iNetSApp 2015)

Abstract

This paper presents an innovative real-time information system for enhanced support to flood risk emergency in urban and nearby coastal areas, targeting multiple users with distinct access privileges. The platform addresses several user requirements such as (1) fast, online access to relevant georeferenced information from wireless sensors, high-resolution forecasts and comprehensive risk analysis; and, (2) the ability for a two-way interaction with civil protection agents in the field. The platform adapts automatically and transparently to any device with data connection. Given its specific purpose, both data protection and tailored-to-purpose products are accounted for through user specific access roles. This paper presents the platform’s overall architecture and the technologies adopted for server-side, focusing on communication with the front-end and with the wireless sensor network, and the user interface development, using state-of-the-art frameworks for cross-platform standardized development. The advantages of the adopted solution are demonstrated for the Tagus estuary inundation information system.

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Acknowledgements

The authors thank Paula Freire and Ana Rilo (LNEC), Alexandre Tavares and Pedro Santos (CES), and Luis Sá (Portuguese Civil Protection Authority), for helping with the platform requirements. They also thank the SCHISM community for making their model code available at http://ccrm.vims.edu/schism/. This work was funded by the Portuguese National Foundation for Science and Technology through project MOLINES (PTDC/AAG-MAA/2811/2012).

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Correspondence to Anabela Oliveira .

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Gomes, J.L., Jesus, G., Rogeiro, J., Oliveira, A., da Costa, R.T., Fortunato, A.B. (2017). An Innovative Web Platform for Flood Risk Management. In: Grzenda, M., Awad, A., Furtak, J., Legierski , J. (eds) Advances in Network Systems . iNetSApp 2015. Advances in Intelligent Systems and Computing, vol 461. Springer, Cham. https://doi.org/10.1007/978-3-319-44354-6_13

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  • DOI: https://doi.org/10.1007/978-3-319-44354-6_13

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  • Online ISBN: 978-3-319-44354-6

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