Coastal-flood risk management in central Algarve: Vulnerability and flood risk indices (South Portugal)

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• 作者：A.M. Martí ; nez-Grañ ; a^a ; ^{amgranna@usal.es" class="auth_mail" title="E-mail the corresponding author} ; T. Boski^b ; ^{tboski@ualg.pt" class="auth_mail" title="E-mail the corresponding author} ; J.L. Goy^a ; ^{joselgoy@usal.es" class="auth_mail" title="E-mail the corresponding author} ; C. Zazo^c ; ^{mcnzc65@mncn.csic.es" class="auth_mail" title="E-mail the corresponding author} ; C.J. Dabrio^d ; ^{dabrio@ucm.es" class="auth_mail" title="E-mail the corresponding author}
• 关键词：AVI Index ; FRI Index ; Flood risk ; Vulnerability ; Coastal management ; GIS
• 刊名：Ecological Indicators
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：71
• 期：Complete
• 页码：302-316
• 全文大小：8950 K

文摘

This paper presents an analysis of the vulnerability (AVI Index) and hazard of flooding by sea level rise (FRI Index) in the central Algarve (South Portugal), between the cities of Portimão and Tavira, which is an area of intense urban impact and fast growing tourism. The vulnerability index was calculated using the following parametric thematic maps: lithology, geomorphology, slopes, elevations, distances, bathymetry, variations of the coastline, wave height and activity, variations of sea level and tidal range. The AVI Index was validated by the results obtained from the analysis of the risk of flooding from the FHI Index applied to several time horizons (X₀-present, X₁-100 years, X₂-500 years, X₃-1000 year, X₄-Storm and X₅-Tsunami). Application of GIS and remote sensing techniques, viz. spatial analysis, interpolation processes and geostatistical analysis, permitted a regional forecasting model of change in the mean sea level and the ensuing consequences to be established. Analysis of the obtained results shows an increase in potential flood zones in populous coastal tourist areas with a high risk of exposure and a significant spatial extent of 8.84 km² only in Faro municipality. The assessment and delineation of other endangered sectors could contribute to designing appropriate long- term management policies for the coastal of Central Algarve.