Postgraduate Program in Geodynamics and Geophysics (PPGG), Federal
University of Rio Grande do Norte, P.O. Box 1524, Natal, Rio Grande do Norte, 59078-970,
Brazil
Research Group on Environmental Analysis, Modelling and Geoinformation
(PAMGEIA), Federal Institute of Education, Science and Technology of Rio
Grande do Norte, Macau, Rio Grande do Norte, 59500-000, Brazil
Laboratory of Geotechnologies, Coastal and Ocean Modelling (GNOMO),
Department of Civil Engineering, Federal University of Rio Grande do Norte,
Natal, Rio Grande do Norte, 59078-970, Brazil
Venerando E. Amaro
Postgraduate Program in Geodynamics and Geophysics (PPGG), Federal
University of Rio Grande do Norte, P.O. Box 1524, Natal, Rio Grande do Norte, 59078-970,
Brazil
Laboratory of Geotechnologies, Coastal and Ocean Modelling (GNOMO),
Department of Civil Engineering, Federal University of Rio Grande do Norte,
Natal, Rio Grande do Norte, 59078-970, Brazil
Leonlene S. Aguiar
Laboratory of Geotechnologies, Coastal and Ocean Modelling (GNOMO),
Department of Civil Engineering, Federal University of Rio Grande do Norte,
Natal, Rio Grande do Norte, 59078-970, Brazil
Caio C. Lima
Laboratory of Geotechnologies, Coastal and Ocean Modelling (GNOMO),
Department of Civil Engineering, Federal University of Rio Grande do Norte,
Natal, Rio Grande do Norte, 59078-970, Brazil
Federal Institute of Education, Science and Technology of Rio Grande
do Norte, Natal, Rio Grande do Norte, 59015-000, Brazil
Alexandre B. Lopes
Center for Marine Studies (CEM), Federal University of Paraná, P.O. Box 61,
Curitiba, Paraná, 83225-976, Brazil
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Total article views: 2,933 (including HTML, PDF, and XML)
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1,695
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Viewed (geographical distribution)
Total article views: 3,727 (including HTML, PDF, and XML)
Thereof 3,507 with geography defined
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Total article views: 2,933 (including HTML, PDF, and XML)
Thereof 2,828 with geography defined
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Total article views: 794 (including HTML, PDF, and XML)
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The approach of this work is a tidal flood risk mapping methodology for climate change scenarios in a semi-arid region with a strong environmental and social appeal. The study area has been suffering severe consequences from flooding by tides in recent years. High-geodetic-precision data, together with tidal return period statistics and data from current sea level rise scenarios, were used. This case study can serve as a basis for future management actions and as a model to be copied.
The approach of this work is a tidal flood risk mapping methodology for climate change scenarios...