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Coastal evolution and future projections in Conde County, Brazil: A multi-decadal assessment via remote sensing and sea-level rise scenarios.
Santos, Celso Augusto Guimarães; do Nascimento, Gleycielle Rodrigues; Freitas, Luccas Matheus Torres; Batista, Leonardo Vidal; Zerouali, Bilel; Mishra, Manoranjan; Silva, Richarde Marques da.
Afiliação
  • Santos CAG; Department of Civil and Environmental Engineering, Federal University of Paraíba, João Pessoa 58051-900, Paraíba, Brazil. Electronic address: celso@ct.ufpb.br.
  • do Nascimento GR; Department of Civil and Environmental Engineering, Federal University of Paraíba, João Pessoa 58051-900, Paraíba, Brazil.
  • Freitas LMT; Department of Computer Systems, Federal University of Paraíba, João Pessoa 58051-900, Paraíba, Brazil.
  • Batista LV; Department of Computer Systems, Federal University of Paraíba, João Pessoa 58051-900, Paraíba, Brazil.
  • Zerouali B; Vegetal Chemistry-Water-Energy Laboratory, Department of Hydraulic, Faculty of Civil Engineering and Architecture, Hassiba Benbouali, University of Chlef, B.P. 78C, Ouled Fares 02180, Chlef, Algeria.
  • Mishra M; Department of Geography, Fakir Mohan University, Vyasa Vihar, Nuapadhi, Balasore 756089, Odisha, India.
  • Silva RMD; Department of Geosciences, Federal University of Paraíba, João Pessoa 58051-900, Paraíba, Brazil.
Sci Total Environ ; 915: 169829, 2024 Mar 10.
Article em En | MEDLINE | ID: mdl-38211851
ABSTRACT
Global sea levels, having risen by approximately 20 cm since the mid-19th century, necessitate a critical examination of their impacts on shoreline dynamics. This research evaluates the historical (1985-2022) and future shoreline changes in Conde County, Paraíba State, Brazil, an area of significant touristic interest. Employing Landsat satellite imagery, the study utilized the Digital Shoreline Analysis System (DSAS) and a Kalman filter algorithm for cloud removal, while also assessing land use and land cover changes using data from the MapBiomas Project for 2000, 2010, and 2020. These analyses informed projections of potential inundation under various sea-level rise (SLR) scenarios 1, 2, 5, and 10 m. Key findings revealed a negative average coastline change rate of -0.27 m/year from 1985 to 2022, indicative of erosive trends likely accelerated by human activities. Long-term projections for 2032 and 2042 anticipate continued erosion in areas identified as highly vulnerable. The SLR scenario analysis underscores the urgent need for adaptive climate measures; while a 1- or 2-meter SLR presents limited immediate effects, a 5-meter rise could lead to significant inundation across key sectors, including urban and agricultural landscapes. The projected severity of a 10-meter SLR necessitates immediate, comprehensive interventions to safeguard both natural and human systems.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul / Brasil Idioma: En Revista: Sci Total Environ Ano de publicação: 2024 Tipo de documento: Article País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul / Brasil Idioma: En Revista: Sci Total Environ Ano de publicação: 2024 Tipo de documento: Article País de publicação: Holanda