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Indirect caffeine modeling in an urban river

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dc.contributor.author Peixoto, Luis Otávio Miranda
dc.contributor.author Marques, Luana Mayumi Takahasi
dc.contributor.author Mizukawa, Alinne
dc.contributor.author Azevedo, Julio Cesar Rodrigues de
dc.date.accessioned 2022-12-02T13:33:56Z
dc.date.available 2022-12-02T13:33:56Z
dc.date.issued 2022-04-15
dc.identifier.citation PEIXOTO, Luis Otávio Miranda; MARQUES, Luana Mayumi Takahasi; MIZUKAWA, Alinne; AZEVEDO, Julio Cesar Rodrigues de. Indirect caffeine modeling in an urban river. Revista Ambiente & Água, Taubaté, v. 17, n. 2, p. 1-16, 15 apr. 2022. Available from: https://doi.org/10.4136/ambi-agua.2810. Accessed: 28 nov. 2022. pt_BR
dc.identifier.issn 1980-993X
dc.identifier.uri DOI: 10.4136/1980-993X pt_BR
dc.identifier.uri http://www.sbicafe.ufv.br/handle/123456789/13680
dc.description.abstract Caffeine is used worldwide as a chemical tracer to identify anthropic pressures on urban water resources. Nevertheless, its quantification demands great financial investments. This research created a model that would indirectly determine a range of possible caffeine concentrations along an urban river, without the need for extensive laboratory work. The model is based on Canonical Correlation Analysis (CCA), which can correlate two sets of different-sized independent and dependent variables in order to generate a single empirical equation. This equation takes as input the concentrations of ammonia nitrogen and orthophosphate, as well as the total population and the population inhabiting irregular housing areas. From the model’s results, it was possible to elaborate a spectrum of possible concentrations of caffeine along the Atuba River (Curitiba-Brazil). The tendency of water quality degradation of this river was also predicted. This model could become a useful preliminary analysis for water resource managers and researchers alike. pt_BR
dc.format pdf pt_BR
dc.language.iso en pt_BR
dc.publisher Instituto de Pesquisas Ambientais em Bacias Hidrográficas pt_BR
dc.relation.ispartofseries Revista Ambiente & Água;v. 17, n. 2, 2022;
dc.rights Open Access pt_BR
dc.subject caffeine pt_BR
dc.subject canonical correlation analysis pt_BR
dc.subject water quality modeling pt_BR
dc.subject.classification Cafeicultura::Resíduos e subprodutos do café pt_BR
dc.title Indirect caffeine modeling in an urban river pt_BR
dc.type Artigo pt_BR

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