Data/hora: 16/06/2024 08:21:43

Biblioteca(s): 	Epagri-Sede.	
Data corrente: 	07/04/2011	
Data da última atualização: 	07/04/2011	
Autoria: 	VIANNA, L. F. de N.	
Afiliação: 	Epagri	
Título: 	A geostatitical gis model to identify cadmium and zinc contamination risk areas in sediments of sepetiba bay Rio de Janeiro, Brasil.	
Ano de publicação: 	2004	
Fonte/Imprenta: 	Journal of Coastal Research, West Palm Beach, FL - USA, v. SI 39, p. 1488-1493, 2004.	
Idioma: 	Inglês	
Notas: 	ISSN, 0749-0208	
Conteúdo: 	This work presents two GIS models that evaluate Zinc and Cadmium contamination tendencies in the sediments of Sepetiba Bay, southern coast of Rio de Janeiro, Brazil. Both models were built upon geographical and environmental features. The natural surrounding areas (eg. mangroves and rivers) of industrial waste disposal usually present higher concentration of these metals. Where the predominant composition of the sediment is clay and/or silt, the metals also tend to be concentrated, since it easily adsorbs onto small particles. Additionally, The Port of Sepetiba's navigation channel needs constant dredging, which affects the bay's depth profile and moves the sediment from channel to other areas in the bay, moving together with it, the adsorbed metals. In order to assess the risk of contamination, models were developed using multi-criteria decision support based upon the analytical hierarchical process (AHP). In the first model (model one), proximity to adjacent areas of industrial waste disposal was considered the most significant condition to determine contamination risk, followed by the concentration of clay, silt and depth influence. In the other one (model two), sediment composition (clay and silt) was set as the most significant condition, followed by proximity to adjacent areas of industrial waste disposal and depth. Each model resulted in a fuzzy map (grid themes) that indicates where levels of risk contamination are higher. They were validated comparing the models to zinc and cadmium grid themes generated by geostatistical kriging over the metals samples. The cadmium contamination is better represented by the model one, indicating higher influence of the proximity to disposal areas. The model two represents very well the zinc
distribution, appointing to the silt and clay higher concentration as the most risk areas.
	
Palavras-Chave: 	Ecotoxicology; Heavy metals; Spatial Analysis.	
Categoria do assunto: 	--	
URL: 	http://intranetdoc.epagri.sc.gov.br/producao_tecnico_cientifica/DOC_864.pdf	
Registro original: 	Epagri-Sede (Epagri-Sede)	
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