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Cera: an open-source tool for coastal erosion risk assessment

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dc.contributor.author Narra, P. pt_BR
dc.contributor.author Coelho, C. pt_BR
dc.contributor.author Sancho, F. E. pt_BR
dc.contributor.author Palalane, J. pt_BR
dc.date.accessioned 2017-11-15T14:50:49Z pt_BR
dc.date.accessioned 2018-03-01T15:38:42Z
dc.date.available 2017-11-15T14:50:49Z pt_BR
dc.date.available 2018-03-01T15:38:42Z
dc.date.issued 2017-06 pt_BR
dc.identifier.citation https://doi.org/10.1016/j.ocecoaman.2017.03.013 pt_BR
dc.identifier.uri https://repositorio.lnec.pt/jspui/handle/123456789/1010042
dc.description.abstract Coastal zones are socially and economically very important, leading to a high pressure for its permanent development. Simultaneously, these zones are subject to several maritime hazards, able to cause coastal erosion. Therefore, a thoughtful management of these zones is required in order to protect society, economy and natural environments. This work presents a GIS-based tool that aims to provide a quick assessment to coastal erosion risk, called CERA: Coastal Erosion Risk Assessment. The simple processes and small amount of data required by the tool provides a viable alternative to other methods, which are often more complex and difficult to apply. The assessment method used in CERA is divided in two parts. The first part is a vulnerability assessment, which combines several parameters that influence coastal erosion, each being classified in a scale of 1e5. The second part, a consequence assessment, follows the same procedure, but considering socio-economic aspects. Then, a risk matrix is applied to determine a risk classification, also divided in 5 classes, from I to V. Aveiro, in Portugal, and Macaneta spit, in Mozambique, were selected to test the application. Data was gathered for both locations. While in Aveiro it was used a considerable amount of available georeferenced data, for the Macaneta spit the data was mainly prevenient from previous publications and local expert knowledge. The results show that both study areas have similar vulnerabilities to coastal erosion, with classes IV and V dominating along the areas closer to the shoreline. On the other hand, the consequence classification in Aveiro is higher than in Macaneta, resulting in a higher risk level in several regions in Aveiro district. The higher level of detail in Aveiro data also resulted in a more even distribution across all class levels in the results. © pt_BR
dc.language.iso eng pt_BR
dc.publisher Elsevier pt_BR
dc.rights restrictedAccess pt_BR
dc.subject Vulnerability pt_BR
dc.subject Consequence pt_BR
dc.subject Hazard pt_BR
dc.subject Exposure pt_BR
dc.subject GIS pt_BR
dc.subject Aveiro pt_BR
dc.subject Macaneta pt_BR
dc.title Cera: an open-source tool for coastal erosion risk assessment pt_BR
dc.type workingPaper pt_BR
dc.description.pages 1-14pp pt_BR
dc.description.volume 142 pt_BR
dc.description.sector DHA/NEC pt_BR
dc.description.magazine Ocean & Coastal Management pt_BR
dc.contributor.peer-reviewed SIM pt_BR
dc.contributor.academicresearchers NAO pt_BR
dc.contributor.arquivo NAO pt_BR


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