Use of the Coastal Risk Assessment Framework (CRAF) to map the relative sensitivity of the coast of the port municipality of São Gonçalo do Amarante, Ceará, Brazil
DOI:
https://doi.org/10.29150/jhrs.v14i2.264115Keywords:
Coastal Vulnerability, Coastal Risk Assessment Framework (CRAF), São Gonçalo do AmaranteAbstract
The study carried out in the coastal municipality of São Gonçalo do Amarante, in Ceará, Brazil, used the "Coastal Risk Assessment Framework" (CRAF) methodology, developed by Van Dongeren et al. (2018) in the RISC-KIT project, and based on the Coastal Vulnerability Index (Gornitz et al., 1994). CRAF, applied in places such as the north and northwest coast of Italy, the Catalan coast in Spain and the north of England, seeks to map coastal sensitivity, assess risks and identify priority areas for adaptation and coastal management actions. The methodology involved the analysis of demographic and environmental data, crossing variables such as population density, land use and flood risks. The results indicated a low coastal risk rating for the region, with areas of lower vulnerability identified mainly due to the presence of healthy coastal ecosystems and a lower concentration of critical infrastructure. It was found that there is no immediate need to move on to a more detailed analysis (Step 2), justifying the decision based on the conclusion of Step 1. The simplicity and effectiveness of the methodology adopted demonstrate its usefulness for future assessments in other coastal regions.
References
Abijith, D.; Saravanan, S.; Sundar, P. K. S. (2023). Coastal vulnerability assessment for the coast of Tamil Nadu, India - a geospatial approach. Environ Sci Pollut Res 30, 75610–75628. DOI: https://doi.org/10.1007/s11356-023-27686-8
Anfuso, G.; Postacchini, M.; Di Luccio, D.; Benassai, G. (2021). Coastal Sensitivy/Vulnerabilty Characterization and Adaptacion Strategies. Journal of Marine Science and Engineering, 9, 71, 1-29. DOI: DOI: https://doi.org/10.3390/jMSE9010072
Angeli S.; D'andrea M.; Cazzola G.; Rebora N. (2017). Coastal Risk Assessment Framework: comparaison of fluvial and marine inundation impacts in Bocca di Magra, Italy. Coastal Engineering, 134, 229-240. DOI: https://doi.org/10.1016/j.coastaleng.2017.09.011
Areia, N. P.; Tavares, A. O.; Costa, P. J. M. (2023). Public perception and preferences for coastal risk management: evidence from a convergent parallel mixed-methods study. Science Of The Total Environment, 882. DOI: http://dx.doi.org/10.1016/j.scitotenv.2023.163440.
Armaroli C & Duo E. (2017). Validation of the Coastal storm Risk Assessment Framework along the Emilia-Romagna coast. Coastal Engineering, 134, 159-167. DOI: https://doi.org/10.1016/j.coastaleng.2017.08.014
Birkmann, J.; Jamshed, A.; Mcmillan, J. M.; Feldmeyer, D.; Totin, E.; Solecki, W.; Ibrahim, Z. Z.; Roberts, D.; Kerr, R. B.; Poertner, H. (2022) Understanding Human Vulnerability To Climate Change: A Global Perspective On Index Validation For Adaptation Planning. Science Of The Total Environment, 803, 150065. Doi: Http://Dx.Doi.Org/10.1016/J.Scitotenv.2021.150065.
Brasil. Ministério da Integração Nacional. (2017). Gestão de Riscos:
Noções Básicas em Proteção e Defesa Civil e em Gestão de Riscos. (Ed. 1, pp. 95). Brasília: Ministério da Integração Nacional, Secretaria Nacional de Proteção e Defesa Civil, Departamento de Minimização de Desastres
Bruno, M.F.; Motta Zanin, G.; Barbanente, A.; Damiani, L. (2021). Understanding the Cognitive Components of Coastal Risk Assessment. Journal of
Marine Science and Engineering, 9, 780. DOI: https://doi.org/10.3390/ jmse9070780
Boori, M. S.; Amaro, V. E. (2010). Land use change detection for environmental management: using multi-temporal, satellite data in Apodi Valley of northeastern Brazil. Applied GIS International Journal, (6), 1-15. Disponível em: https://repositorio.ufrn.br/bitstream/123456789/31112/1/LandUseChange_AMARO_2010.pdf.
Buitrago, N. R.; Neal, W. J.; Bonetti, J.; Anfuso, G.; Jonge, V. N. (2020). Vulnerability assessments as a tool for the coastal and marine hazards management: An overview. Ocean & Coastal Management, 189. DOI: https://doi.org/10.1016/j.ocecoaman.2020.105134.
Cardona, O. D.; Van Aalst, M. K.; Birkmann, J.; Fordham M.; McGregor, G.; Perez, R.; Pulwarty, R. S.; Schipper, E.L.F.; B. T. Sinh. (2012). Determinants of risk: exposure and vulnerability. In: Field, C.B., V. Barros, T.F. Stocker, D. Qin, D.J. Dokken, K.L. Ebi, M.D. Mastrandrea, K.J. Mach, G.-K. Plattner, S.K. Allen, M. Tignor, and P.M. Midgley (eds.). Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation . A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (IPCC) (pp. 65-108). Cambridge University Press, Cambridge, UK, and New York, NY, USA. DOI: https://doi.org/10.1017/CBO9781139177245
Ceará. Superintendência Estadual do Meio Ambiente. (2016). Reestruturação e atualização do mapeamento do projeto Zoneamento Ecológico-Econômico do Ceará – zona costeira e unidades de conservação costeiras - Relatório Final de Mapeamento de Uso e Cobertura do Solo (pp.475). Fortaleza, CE: SEMACE.
Coelho, L. L.; Queiroga, E. F.; Reis, S. M. (2022). Processos de expansão urbana e as transformações da paisagem no vetor oeste da região metropolitana de Fortaleza. Revista de Arquitetura e Urbanismo, 225101 (19), 1-20. DOI: https://doi.org/10.24220/2318-0919v19e2022a5101
CRED. Centre for Research on the Epidemiology of Disasters. (2018). EM-DAT Glossary. Disponível em: <https://www.emdat.be/Glossary>.
Cristie E.; Spencer T.; Owen D.; Mcivor A.; Moller I.; Viavattene C. (2018). Regional coastal flood risk assessment for a tidally dominant, natural coastal setting: North Norfolk, southern North Sea, Coastal Engineering, 134, 177-190. DOI: https://doi.org/10.1016/j.coastaleng.2017.05.003
Crossland, C. J.; Baird, D.; Ducrotoy, J-P. A.; Lindeboom H. J. (2005). The Coastal Zone - a Domain of Global Interactions. In: Crossland, C.J.; Kremer, H.H.; Lindeboom, H.J.; Marshall Crossland, J.I.; Le Tissier, M. D. A. (Eds). Coastal Fluxes in the Anthropocene, 1–37. DOI: https://doi.org/10.1007/3-540-27851-6_1
Ferreira, O.; Viavattene, C.; Jimenez, J.; Bole, A.; Plomaritis, T.; Costas, S.; Smets, S. (2016). CRAF Phase 1, a framework to identify coastal hotspots to storm impacts. In 3rd European Conference on Flood Risk Management (FLOODrisk 2016). (pp. 9). Lyon, France. DOI: http://dx.doi.org/10.1051/e3sconf/20160711008.
Ferreira, J. C.; Cardona, F. S.; Santos, C. J.; Tenedório, J. A. (2021) Hazards, Vulnerability, and Risk Analysis on Wave Overtopping and Coastal Flooding in Low-Lying Coastal Areas: the case of costa da caparica, portugal. Water, 13, 2. DOI. http://dx.doi.org/10.3390/w13020237.
Gornitz, V. M.; Daniels, R. C.; White, T. W.; Birdwell, K. R. (1994) The development of a coastal risk assessment database: Vulnerability to sea-level rise in the US Southeast. Journal of Coastal Research, 12, 327–338. Disponível em: https://www.jstor.org/stable/25735608
Hinkel, J.; Klein, R.J. (2009). Integrating knowledge to assess coastal vulnerability to sea-level rise: The development of the DIVA tool. Global Environmental Change,19 (3), 384–395. DOI: https://doi.org/10.1016/j.gloenvcha.2009.03.002
IBGE. Instituto Brasileiro de Geografia e Estatística. (2012). Censo Brasileiro de 2010. Rio de Janeiro. Disponível em https://www.ibge.gov.br/geociencias/downloads-geociencias.html
IBGE. Instituto Brasileiro de Geografia e Estatística. (2019). Área urbanizada. Diretoria de Geociências, Coordenação de Meio Ambiente, Áreas Urbanizadas do Brasil, Rio de Janeiro. Disponível em https://www.ibge.gov.br/geociencias/downloads-geociencias.html
IBGE. Instituto Brasileiro de Geografia e Estatística. (2024) Censo Brasileiro de 2022. Rio de Janeiro. Disponível em https://www.ibge.gov.br/geociencias/downloads-geociencias.html
IBGE. Instituto Brasileiro de Geografia e Estatística. (2023) Base cartográfica contínua do Brasil, escala 1:250 000 - BC250. Versão 2023. Rio de Janeiro. Disponível em https://www.ibge.gov.br/geociencias/downloads-geociencias.html
IBGE. Instituto Brasileiro De Geografia E Estatística. (2024). Características dos domicílios. Rio de Janeiro, pp. 53. Disponível em https://biblioteca.ibge.gov.br/visualizacao/periodicos/3106/cd_2022_domicilios.pdf
IPCC. Intergovernmental Panel on Climate Change. (2014). Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. In Pachauri, R. K. & Meyer, L. A. (Eds.). Climate Change 2014: Synthesis Report. (pp. 151). Geneva, Switzerland.
IPCC. Intergovernmental Panel on Climate Change. (2022). Summary for policymakers. In: Climate change 2022: impacts, adaptation and vulnerability. contribution of working group II to the sixth assessment report of the intergovernmental panel on climate change. Eds. Pörtner H.O.; Roberts D. C.; Poloczanska E. S.; Mintenbeck K., Tignor M.; Alegría A.; Craig M.; Langsdorf S.; Löschke S.; Möller V.; Okem A. DOI: 10.1017/9781009325844.001
Jimenez J.A.; Ballesteros C.; Sanuy M.; Valdemoro H. (2017). Storm-induced risks along the coast northwards of Barcelona (NW Mediterranean), Coastal Engineering, 134, 148-158. DOI: https://doi.org/10.1016/j.coastaleng.2017.08.012
Lopes, D.; Duarte, C. R.; Silva, M. T.; Freires, E. V. (2023) Índice de vulnerabilidade costeira do município de São Gonçalo do Amarante (Ceará) frente a elevação do nível do mar. Journal Of Hyperspectral Remote Sensing, 13(2), 176-186. DOI: http://dx.doi.org/10.29150/jhrs.v13.2.p176-186.
Meulen, F. V. D.; Ijff, S.; Van Zetten, R. (2022). Nature‐based solutions for coastal adaptation management, concepts and scope, an overview. Nordic Journal Of Botany, 2023, 1, 1-12. DOI: http://dx.doi.org/10.1111/njb.03290.
Mortensen, E.; Ward, P. (2023). Adapting with future increases to coastal and riverine flood risk in deltas and estuaries: a global perspective. In: EGU General Assembly 2023, Vienna, Austria. DOI: https://doi.org/10.5194/egusphere-egu23-14131.
Neumann, B.; Vafeidis, A.T.; Zimmermann, J.; Nicholls, R.J. (2015). Future coastal population growth and exposure to sea-level rise and coastal flooding-a global assessment. PLOS ONE, 10(6). DOI: https://doi.org/10.1371/journal.pone.0118571
Nicholls R. J.; Wong, P. P.; Burkett, V.; Woodroffe C. D.; Hay, J. (2008). Climate change and coastal vulnerability assessment: scenarios for integrated assessment. Sustainability Science, 3(1), 89–102. DOI: http://dx.doi.org/10.1007/s11625-008-0050-4
Patterson M, Hardy D. (2008) Economic Drivers of Change and their Oceanic-Coastal Ecological Impacts. In: Patterson M, Glavovic BC (Eds.). Ecological economics of the oceans and coasts. Edward Elgar Publishing, (pp. 187–215). DOI: https://doi.org/10.4337/9781782542483.00017
Pazini, K. C.; Bonetti, J.; Silva, P. G.; Klein, A. H. F. (2022) Spotting areas critical to storm waves and surge impacts on coasts with data scarcity: a case study in Santa Catarina, Brazil. Natural Hazards, 112, 3, 2493-2521. DOI: http://dx.doi.org/10.1007/s11069-022-05275-1.
SFREDDO, G. A.; SILVA, T. S.; BARBOZA, E. G. (2023). Assessment of local coastal vulnerability based on a global model: a case study in Jaguaruna, Southern Brazil. Regional Studies In Marine Science, 61. DOI: http://dx.doi.org/10.1016/j.rsma.2023.102824.
PROJETO MAPBIOMAS. (2021). Coleção MapBiomas, 7; Série anual de mapas de cobertura e uso de solo do Brasi). Disponível em <http://mapbiomas.org>
Van Dongeren, A.; Ciavola, P.; Viavattene, C.; De Kleermaeker, S.; Martinez, G.; Ferreira, O.; Costa C.; McCall, R. (2014). RISC-KIT: Resilience-Increasing Strategies for Coasts–toolkit. In: Proceedings 13th International Coastal Symposiu, (pp. 366–371), Durban, South Africa. DOI: https://doi.org/10.2112/SI70-062.1
Van Dongeren, A. P.; Ciavola, P.; Martinez, G.; Viavattene, C.; Bogaard, T.; Ferreira, O.; Higgins, R.; McCall, R. (2018). Introduction to RISC-KIT: Resilience-increasing strategies for coasts. Coastal Engineering, 134, 2-9. DOI: https://doi.org/10.1016/j.coastaleng.2017.10.007
Viavattene, C.; Jimenez, J.A.; Ferreira, O.; Priest, S.; Owen, D.; Mccall, R. (2017). Selecting coastal hotspots to storm impacts at the regional scale: the Coastal Risk Assessment Framework. Coastal. Engineering, 134, 33–47. DOI: https://doi.org/10.1016/j.coastaleng.2017.09.002
Thieler, E.R.; Hammar-Klose, E.S. (2000). National Assessment of Coastal Vulnerability to Sea-Level Rise; Preliminary Results for the US Pacific Coast; Technical Report; U.S. Geological Survey: Woods Hole, MA, USA.
Wisner B., Blaikie P., Cannon T., Davis I. (2004). At risk: natural hazards, People's Vulnerability and Disasters. (Vol. 1, 1.ed., pp. 304). London: Routledge. DOI: https://doi.org/10.4324/9780203974575
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