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| 1. |  | ROCHA, L. M.; ROSISCA, J. R.; CARAMORI, P. H.; COSTA, A. B.; ZARO, G. C.; BORROZZINO, E.; RICCE, W. S. Análise histórica da duração e volume de chuvas em Londrina - PR. In: SIMPÓSIO BRASILEIRO DE CLIMATOLOGIA GEOGRÁFICA, 11.., 2014, Curitiba. Anais... Rio de Janeiro: ABClima, 2014.| Biblioteca(s): Epagri-Sede. |
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| 2. | | ZARO, G. C.; RICCE, W. S.; CARAMORI, P. H.; COSTA, A. B. F.; ROSISCA, J. R.; MORAIS, H. Impacts of water deficit on the productivity of soybean and corn in Paraná state In: CONGRESSO BRASILEIRO DE METEOROLOGIA, 18.., 2014, Recife-PE. Anais... Rio de Janeiro: SBMET, 2014.| Biblioteca(s): Epagri-Sede. |
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| 3. | | COSTA, A. B. F.; NITSCHE, P. R.; CARAMORI, P. H.; RICCE, W. S.; CARBONIERI, J.; MORAIS, H.; ZARO, G. C.; ROSISCA, J. R.; BORROZZINO, E.; KOGIMA, K. C. Análise decendial da disponibilidade hídrica para início de semeadura e plantio no Paraná, Brasil. In: SIMPÓSIO INTERNACIONAL DE CLIMATOLOGIA, 6., 2015, Natal, RN. Anais... Rio de Janeiro: SBMET, 2015.| Biblioteca(s): Epagri-Sede. |
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| 4. | | ZARO, G. C.; CARAMORI, P. H.; RICCE, W. S.; NITSCHE, P. R.; WERNER, S. S.; ROSISCA, J. R.; AQUINO, G. S.; COSTA, A. B. F. Inter-annual analysis of soybean and corn yield in relation to water deficit in a transitional zone between subtropical and tropical climate. Australian Journal of Crop Science, Austrália, v. 12, n. 4, p. 511-518, 2018.| Biblioteca(s): Epagri-Sede. |
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| Registros recuperados : 4 | |
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Registro Completo
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
28/03/2018 |
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Data da última atualização: |
28/03/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Internacional - A |
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Autoria: |
SOUZA, R. V.; CAMPOS, C. J. A.; GARBOSSA, L. H. P.; VIANNA, L. F. N.; SEIFFERT, W. Q. |
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Título: |
Optimising statistical models to predict faecal pollution in coastal areas based on geographic and meteorological parameters. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Marine Pollution Bulletin, Amsterdam, v. 129, n. 1, p. 284-292, 2018. |
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Idioma: |
Inglês |
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Conteúdo: |
This article describes a methodology for optimising predictive models for concentrations of faecal indicator organisms (FIOs) in coastal areas based on geographic and meteorological characteristics of upstream catchments. Concentrations of FIOs in mussels and water sampled from 50 sites in the south of Brazil from 2012 to 2013 were used to develop models to separately predict the spatial and temporal variations of FIOs. The geographical parameters used in predictive models for the spatial variation of FIOs were human population, urban area, percentage of impervious cover and total catchment area. The R2 of models representing catchments located within 3.1 km from the monitoring points was up to 150% higher than that for the nearest catchment. The temporal variation of FIOs was modelled considering the combined effect of meteorological parameters and different time windows. The explained variance in models based on rainfall and solar radiation increased up to 155% and 160%, respectively. |
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Palavras-Chave: |
Coliforms; Escherichia coli; Faecal pollution; Florianópolis; Perna perna; Regression models. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 01765naa a2200241 a 4500
001 1127196
005 2018-03-28
008 2018 bl uuuu u00u1 u #d
100 1 $aSOUZA, R. V.
245 $aOptimising statistical models to predict faecal pollution in coastal areas based on geographic and meteorological parameters.$h[electronic resource]
260 $c2018
520 $aThis article describes a methodology for optimising predictive models for concentrations of faecal indicator organisms (FIOs) in coastal areas based on geographic and meteorological characteristics of upstream catchments. Concentrations of FIOs in mussels and water sampled from 50 sites in the south of Brazil from 2012 to 2013 were used to develop models to separately predict the spatial and temporal variations of FIOs. The geographical parameters used in predictive models for the spatial variation of FIOs were human population, urban area, percentage of impervious cover and total catchment area. The R2 of models representing catchments located within 3.1 km from the monitoring points was up to 150% higher than that for the nearest catchment. The temporal variation of FIOs was modelled considering the combined effect of meteorological parameters and different time windows. The explained variance in models based on rainfall and solar radiation increased up to 155% and 160%, respectively.
653 $aColiforms
653 $aEscherichia coli
653 $aFaecal pollution
653 $aFlorianópolis
653 $aPerna perna
653 $aRegression models
700 1 $aCAMPOS, C. J. A.
700 1 $aGARBOSSA, L. H. P.
700 1 $aVIANNA, L. F. N.
700 1 $aSEIFFERT, W. Q.
773 $tMarine Pollution Bulletin, Amsterdam$gv. 129, n. 1, p. 284-292, 2018.
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