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A Multi-Hazard Webgis Platform to Share Coastal Observatories Data and Model Predictions

Author(s): Anabela Oliveira; Miguel Rocha; Goncalo Jesus; Andre B. Fortunato; Alphonse Nahon; Joao Rogeiro; Paula Freire

Linked Author(s): João Rogeiro, Anabela Oliveira

Keywords: No Keywords

Abstract: The adequate emergency and risk management of flood and erosion in coastal areas requires a combination of comprehensive monitoring networks, accurate prediction tools and information platforms that can convey data and predictions in a timely and user-friendly way. Herein, we present a novel web GIS platform for coastal flood and erosion management targeted at areas subject to the combined action of waves, surges and tides. Information for each coastal region is organized through a coastal observatory concept, and the information is tailored to the specific characteristics of each observatory. Many data types were implemented, including historical and real-time sensor data and processed remote sensing information obtained from local cameras or satellites. Predictions are based on a chain of high-resolution models that operate from the ocean to the coast, simulating wave and current hydrodynamics and their interactions, as well as morphodynamics, based on models FES2014, WW3, SCHISM and XBEACH. The WebGIS platform provides both spatial and temporal information aiming at characterizing hazard, vulnerability and risk. The platform is demonstrated through the application to a complex observatory in the central West Portuguese coast, Cova Gala, to address both flooding and erosion concerns.

DOI:

Year: 2022

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