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| 11. |  | POLETTE, M.; SILVA, L. N.; VIANNA, L. F. de N.; CRDOVA, R. N. Interinstitucional Arrangements for Integrated Coastal Zone Management in Brazil: The Study Cases of Santa Catarina (Porto Belo Watershead) and Rio de Janeiro (Itacurussá Island) States. In: BIENNIAL COASTAL ZONE CONFERENCE, 12., 2001, Ohio, USA. Proceedings... Ohio, USA: NOAA, 2001. p. 1-5.| Biblioteca(s): Epagri-Sede. |
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| 12. | | NOVAES, A. L. T.; VIANNA, L. F. de N.; SANTOS, A. A. dos; SILVA, F. M.; SOUZA, R. V. de. Planos locais de desenvolvimento da maricultura de Santa Catarina. Panorama da Aquicultura, Laranjeiras, v. 21, p. 52-58, 2010. ISSN, 1519-1141| Biblioteca(s): Epagri-Sede. |
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| 13. | | VIANNA, L. F. de N.; FRANCISCO, C. N.; FIGUEIREDO, C.; SIMÃO, D. S.; BANNWART, J.; WASSERMAN, J.; SCOTT, P. C.; NOVAES, R.; HAMILTON, R. Geotecnologias aplicadas para ordenamento da maricultura no Brasil: uma avaliação dos planos locais de desenvolvimento da maricultura - PLDM. In: CONGRESO LATINOAMERICANO SOBRE CIENCIAS DEL MAR, 12., 2007, Florianópolis. Anais... Florianópolis: Univali, 2007.| Biblioteca(s): Epagri-Sede. |
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| 14. | | VIANNA, L. F. de N.; BEAUMORD, A.; MEDEIROS, R.; ROSIN, A. P.; BELLI, A.; ILHEO, E.; MARIN NETO, F.; VIEIRA, L. M.; LAFIN, N. A.; MOSIMANN NETO, O.; MARCHI, R. L.; SOARES, S. M. Ddiagnóstico sócio-ambiental rápido da bacia hidrográfica do Rio Tijucas - etapa II: municípios de Leoberto Leal, Nova Trento, São João Batista e Canelinha. In: SIMPOSIO BRASILEIRO DE ENGENHARIA AMBIENTAL, 2., 2003, Itajai, SC. Livro de Resumos... Itajai, SC: Univali, 2003. p. 211-211.| Biblioteca(s): Epagri-Sede. |
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| 15. | | VIANNA, L. F. de N.; BEAUMORD, A.; MEDEIROS, R.; ROSIN, A. P.; BELLI, A.; ILHEO, E.; MARIN NETO, F.; VIEIRA, L. M.; LAFIN, N. A.; MOSIMMAN NETO, O.; MARCHI, R. L.; SOARES, S. M. Diagnostico Socio Ambiental Rapido da Bacia Hidrografica do Rio Tijucas - Etapa I: Municipios de Rancho Queimado Angelina e Major Gercino. In: SIMPOSIO BRASILEIRO DE ENGENHARIA AMBIENTAL, 2., 2003, Itajai, SC. Livro de Resumos... Itajai, SC: Univali, 2003. p. 209-209.| Biblioteca(s): Epagri-Sede. |
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| Registros recuperados : 15 | |
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Registro Completo
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
07/04/2011 |
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Data da última atualização: |
07/04/2011 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
-- - -- |
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Autoria: |
VIANNA, L. F. de N. |
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Afiliação: |
Epagri |
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Título: |
A geostatitical gis model to identify cadmium and zinc contamination risk areas in sediments of sepetiba bay Rio de Janeiro, Brasil. |
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Ano de publicação: |
2004 |
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Fonte/Imprenta: |
Journal of Coastal Research, West Palm Beach, FL - USA, v. SI 39, p. 1488-1493, 2004. |
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Idioma: |
Inglês |
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Notas: |
ISSN, 0749-0208 |
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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. MenosThis 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 ... Mostrar Tudo |
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Palavras-Chave: |
Ecotoxicology; Heavy metals; Spatial Analysis. |
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Categoria do assunto: |
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Marc: |
LEADER 02411naa a2200169 a 4500
001 1075481
005 2011-04-07
008 2004 bl uuuu u00u1 u #d
100 1 $aEpagri
245 $aA geostatitical gis model to identify cadmium and zinc contamination risk areas in sediments of sepetiba bay Rio de Janeiro, Brasil.
260 $c2004
500 $aISSN, 0749-0208
520 $aThis 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.
653 $aEcotoxicology
653 $aHeavy metals
653 $aSpatial Analysis
773 $tJournal of Coastal Research, West Palm Beach, FL - USA$gv. SI 39, p. 1488-1493, 2004.
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