Multi-Hazard WebGIS Platform for Coastal Regions

• Main Author: Rocha, Miguel
• Publication Date: 2021
• Other Authors: Oliveira, Anabela, Freire, Paula, Fortunato, André B., Nahon, Alphonse, Barros, José L., Azevedo, Alberto, Oliveira, Filipa S. B. F., Rogeiro, João, Jesus, Gonçalo, Martins, Ricardo J., Santos, Pedro P., Tavares, Alexandre Oliveira, Oliveira, João
• Format: Article
• Language: eng
• Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Download full: https://hdl.handle.net/10316/96267; https://doi.org/10.3390/app11115253
• topic: Web platform; Flood and erosion risk management; Hydro-morphodynamic modeling; Remote sensing; Forecast systems; GIS; Observatories

The combined action of waves, surges and tides can cause flooding, erosion and dune and structure overtopping in many coastal regions. Addressing emergency and risk management in these areas require a combination of targeted campaigns and real-time data that measure all phenomena at stake and can be used to develop comprehensive monitoring platforms. These monitoring platforms can support the development of prediction tools that address all hazards in an integrated way. Herein, we present a methodology focused on multi-hazard coastal alert and risk, and its implementation in a tailored WebGIS platform. The MOSAIC platform offers a one-stop-shop capacity to access in-situ and remote sensing data, and hydrodynamic and morphodynamic predictions, supported by numerical models: SCHISM and XBeach. Information is structured on a local observatory scale, with regional forcings available for the correct interpretation of local hazards effects. This implementation can be further applied and extended to other coastal zones. The MOSAIC platform also provides access to a detailed database of past hazardous events, organized along several risk indicators, for the western coast of Portugal. The combination of features in the platform provides a unique repository of hazard information to support end-users for both emergency and long term risk planning actions.