Proposal for improvement of methodology to determine the potential of economic losses due to coastal erosion

Maykon Targino Silva, Débora Nogueira Lopes, Alfredo Marcelo Grigio, Antonio Conceição Paranhos Filho, Marco Antonio Diodato

Resumo


Erosion is a phenomenon that can cause important modifications of the shoreline in various regions in the world. Currently, perceived the damage caused by this phenomenon in the economy, the environment and the society. Thus, methodologies have emerged to determine the rates of coastal erosion and they evolved and today it is possible to determine implications of coastal erosion in other economic activities such as tourism, for example. Another technique was designed for the determination of the potential of economic damages due to coastal erosion. However, this methodology has as a limitation the determination of the behavior of erosion in the long term. Thus, the objective of this paper was to overcome this limitation, in order to improve the methodology that defines the potential of economic losses due to coastal erosion. It was noted in this article that the multi-temporal analysis of products of remote sensing allows to set out this limitation. For the evaluation and discussion, it was chosen the city of Areia Branca (RN, Brazil), where the potential for economic damage to coastal erosion observed was of medium intensity. The methodologies that assess coastal erosion and the potential for economic losses should be continually developed and improved in order to better understand the erosive process and its economic implications.


Palavras-chave


geoprocessing; susceptibility to economic damages; coastal management

Texto completo:

PDF (English)

Referências


Alexandrakis, G., Manasakis, C., Kampanis, N.A., 2015. Valuating the effects of beach erosion to tourism revenue. A management perspective. Ocean & Coastal Management 111, 1–11.

Araripe, P.T., Feijó, F., 1994. Bacia Potiguar. Boletim de Geociências da PETROBRÁS 8, 127-141.

Boak, E.H., Turner, I.L., 2005. Shoreline definition and detection: review. Journal of Coastal Research 21, 688-703.

Boori, M.S., Amaro, V.E., Vital, H., 2010. Coastal ecological sensitivity and risk assessment: a case study of sea level change in Apodi River (Atlantic Ocean), Northeast Brazil. International Journal of Environmental and Earth Sciences 1, 127-136.

Boori, M.S., Amaro, V.E., Ferreira, A.T.S., 2012. Coastal risk assessment and adaptation of the impact of sea-level rise, climate change and hazards: a RS and GIS based approach in Apodi-Mossoró estuary, Northeast Brazil. International Journal of Geomatics and Geosciences 2, 815-832.

Camfield, F.E., Morang, A., 1996. Defining and interpreting shoreline change. Ocean & Coastal Management 32, 129-151.

Costa, D.F.S., Silva, A.A., Medeiros, D.H.M., Lucena Filho, M.A., De Medeiros Rocha, R., Lillebo, A.I., Soares, A.M.V.M., 2013. Breve revisão sobre a evolução histórica da atividade salineira no Estado do Rio Grande do Norte (Brasil). Sociedade e Natureza 25, 21-34.

Dolan, R., Hayden, B., Heywood, J., 1978. A new photogrammetric method for determining shoreline erosion. Coastal Engineering 2, 21-39.

ESRI - Environmental Systems Research Institute. 2011. Software ArcGis Desktop, license type Arcinfo, version 10.1.

Fairbridge, R.W., 2004. Classification of coasts. Journal of Coastal Research 20, 155-165.

Grigio, A.M., Amaro, V.E., Vital, H., Diodato, M.A., 2005. A method for coastline evolution analysis using GIS and Remote Sensing: a case study from the Guamaré City, Northeast Brazil. Journal of Coastal Research 42, 412–421.

Mcfeeters, S.K. 1996. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing 17, 1425-1432.

ESRI - Environmental Systems Research Institute. 2011. Software ArcGis Desktop, license type Arcinfo, version 10.1.

Moore, L.J., 2000. Shoreline mapping techniques. Journal of Coastal Research 16: 111-124.

Medeiros, W.D.A.; Cunha, L. & Almeida, A.C. 2012. Riscos ambientais no litoral: estudo comparativo Brasil-Portugal. Cadernos de Geografia 30, 107-115.

Muehe, D., 2001., Critérios morfodinâmicos para o estabelecimento de limites da orla costeira para fins de gerenciamento. Revista Brasileira de Geomorfologia 2, 35-44.

Muehe, D. 2010. Brazilian coastal vulnerability to climate change. Pan-American Journal of Aquatic Sciences 5, 173-183.

Nascimento, L., Bittencourt, A.C.S.P, Santos, A.N., Dominguez, J.M.L., 2013. Potencial de prejuízos econômicos em função da densidade de urbanização e da sensibilidade à erosão costeira na Costa do Cacau – Bahia. Revista Brasileira de Geomorfologia 14, 261-270.

Ojeda Zújar, J., 2000. Métodos para el cálculo de la erosión costera. Revisión, tendencias e propuesta. Boletín de la Asociación Geógrafos Españoles 30, 103-118.

Ojeda Zújar, J., Díaz Cuevas, M.P., Prieto Campos, A., Álvarez Francoso, J.I., 2013. Línea de costa y sistemas de información geográfica: modelo de datos para la caracterización de indicadores en la Costa Andaluza. Investigaciones Geográficas 60, 37-52.

Pessoa Neto, O.C., Soares, U.M., Silva, J.G.F., Roesner, E.H., Florencio, C.P., Souza, C.A.V., 2007. Bacia Potiguar. Boletim de Geociências da PETROBRÁS 15, 357-369.

Proença, B., Oliveira, F.S.B.F., Sancho, F., 2011. Coastal erosion management in Algarve (Portugal) – a beach nourishment case study. Journal of Coastal Research 61, 328-334.

Rogerio, A.P.C., 2004. Caracterização Geológica e Geomorfológica do Município de Areia Branca/RN, com Vistas à elaboração do Mapa de Sensibilidade ao Derramamento de Óleo. Relatório. Natal, Universidade Federal do Rio Grande do Norte.

Santos, N.A., Bittencourt, A.C.S.P., Nascimento, L., Dominguez, J.M.L., 2007. A ocupação urbana na orla da Costa das Baleias, Estado da Bahia. Susceptibilidade a danos econômicos em função da dinâmica costeira. Revista Geociências 26, 173-180.

Silva, I.R., Bittencourt, A.C.S.P., Dominguez, J.M.L., Mello e Silva, S.B., 2007. Potencial de danos econômicos face à erosão costeira relativo às praias da Costa do Descobrimento – litoral sul do Estado da Bahia. Revista Pesquisas em Geociências 34, 35–44.

Silva, M.T., Grigio, M.A., Carvalho, R.G., Medeiros, W.D.A., Paranhos Filho, A.C., 2015. Variação da linha de costa na região da foz do rio Apodi-Mossoró por sensoriamento remoto. Revista Brasileira de Geografia Física 8, 967-980.

Silva, R., Martínez, M.L., Hesp. P.A., Catalan, P., Osorio, A.F., Martell, R., Fossati, M., Silva, G.M., Mariño-Tapia, I., Pereira, P., Cienguegos, R., Klein, A., Govaere, G., 2014. Present and future challenges of coastal erosion in Latin America. Journal of Coastal Research 71, 1-16.

Tessler, M.G., 2008. Potencial de risco natural. In: Icolodi, J.L., Zamboni, A. (Orgs.), Macrodiagnóstico da Zona Costeira e Marinha do Brasil. Brasília, DF. Editora MMA, p. 93-102.

USGS – U.S. Geological Survey. 2016. Image of the Landsat 8 satellite, OLI sensor. Bands 1, 2, 3, 4, 5, 6, 7 and 9. Orbit/point 215/64.

Van Rijn, L.C., 2011. Coastal and erosion. Ocean & Coastal Management 54, 867-887.

Vital, H., Amaro, V.E., Silveira, I.M., 2006. Coastal erosion on the Rio Grande do Norte state (northeastern Brazil): causes and factors versus effects and associated processes. Journal of Coastal Research 39, 1307-1310.




DOI: https://doi.org/10.26848/rbgf.v13.3.p1132-1144

Licença Creative Commons
Esta obra está licenciada sob uma licença Creative Commons Atribuição 4.0 Internacional.

      

Revista Brasileira de Geografia Física - ISSN: 1984-2295

Creative Commons License
Esta obra está licenciada com uma Licença Creative Commons Attribution-NonCommercial 4.0 International License