Multi-Hazard WebGIS Platform for Coastal Regions
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/11/5253 |
| _version_ | 1797531274408099840 |
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| author | Miguel Rocha Anabela Oliveira Paula Freire André B. Fortunato Alphonse Nahon José L. Barros Alberto Azevedo Filipa S. B. F. Oliveira João Rogeiro Gonçalo Jesus Ricardo J. Martins Pedro P. Santos Alexandre O. Tavares João Oliveira |
| author_facet | Miguel Rocha Anabela Oliveira Paula Freire André B. Fortunato Alphonse Nahon José L. Barros Alberto Azevedo Filipa S. B. F. Oliveira João Rogeiro Gonçalo Jesus Ricardo J. Martins Pedro P. Santos Alexandre O. Tavares João Oliveira |
| author_sort | Miguel Rocha |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T10:41:31Z |
| format | Article |
| id | doaj.art-f307d4c813c4402aa7d7f98d14586803 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T10:41:31Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-f307d4c813c4402aa7d7f98d145868032023-11-21T22:57:21ZengMDPI AGApplied Sciences2076-34172021-06-011111525310.3390/app11115253Multi-Hazard WebGIS Platform for Coastal RegionsMiguel Rocha0Anabela Oliveira1Paula Freire2André B. Fortunato3Alphonse Nahon4José L. Barros5Alberto Azevedo6Filipa S. B. F. Oliveira7João Rogeiro8Gonçalo Jesus9Ricardo J. Martins10Pedro P. Santos11Alexandre O. Tavares12João Oliveira13National Laboratory for Civil Engineering, Avenida do Brasil 101, 1700-066 Lisbon, PortugalNational Laboratory for Civil Engineering, Avenida do Brasil 101, 1700-066 Lisbon, PortugalNational Laboratory for Civil Engineering, Avenida do Brasil 101, 1700-066 Lisbon, PortugalNational Laboratory for Civil Engineering, Avenida do Brasil 101, 1700-066 Lisbon, PortugalNational Laboratory for Civil Engineering, Avenida do Brasil 101, 1700-066 Lisbon, PortugalCentre for Social Studies and Earth Sciences Department, Coimbra University, 3000-995 Coimbra, PortugalNational Laboratory for Civil Engineering, Avenida do Brasil 101, 1700-066 Lisbon, PortugalNational Laboratory for Civil Engineering, Avenida do Brasil 101, 1700-066 Lisbon, PortugalNational Laboratory for Civil Engineering, Avenida do Brasil 101, 1700-066 Lisbon, PortugalNational Laboratory for Civil Engineering, Avenida do Brasil 101, 1700-066 Lisbon, PortugalNational Laboratory for Civil Engineering, Avenida do Brasil 101, 1700-066 Lisbon, PortugalInstitute of Geography and Spatial Planning, University of Lisbon, 1600-276 Lisbon, PortugalCentre for Social Studies and Earth Sciences Department, Coimbra University, 3000-995 Coimbra, PortugalNational Laboratory for Civil Engineering, Avenida do Brasil 101, 1700-066 Lisbon, PortugalThe 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.https://www.mdpi.com/2076-3417/11/11/5253web platformflood and erosion risk managementhydro-morphodynamic modelingremote sensingforecast systemsGIS |
| spellingShingle | Miguel Rocha Anabela Oliveira Paula Freire André B. Fortunato Alphonse Nahon José L. Barros Alberto Azevedo Filipa S. B. F. Oliveira João Rogeiro Gonçalo Jesus Ricardo J. Martins Pedro P. Santos Alexandre O. Tavares João Oliveira Multi-Hazard WebGIS Platform for Coastal Regions Applied Sciences web platform flood and erosion risk management hydro-morphodynamic modeling remote sensing forecast systems GIS |
| title | Multi-Hazard WebGIS Platform for Coastal Regions |
| title_full | Multi-Hazard WebGIS Platform for Coastal Regions |
| title_fullStr | Multi-Hazard WebGIS Platform for Coastal Regions |
| title_full_unstemmed | Multi-Hazard WebGIS Platform for Coastal Regions |
| title_short | Multi-Hazard WebGIS Platform for Coastal Regions |
| title_sort | multi hazard webgis platform for coastal regions |
| topic | web platform flood and erosion risk management hydro-morphodynamic modeling remote sensing forecast systems GIS |
| url | https://www.mdpi.com/2076-3417/11/11/5253 |
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