Indirect caffeine modeling in an urban river

dc.contributor.authorPeixoto, Luis Otávio Miranda
dc.contributor.authorMarques, Luana Mayumi Takahasi
dc.contributor.authorMizukawa, Alinne
dc.contributor.authorAzevedo, Julio Cesar Rodrigues de
dc.date.accessioned2022-12-02T13:33:56Z
dc.date.available2022-12-02T13:33:56Z
dc.date.issued2022-04-15
dc.description.abstractCaffeine 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.formatpdfpt_BR
dc.identifier.citationPEIXOTO, 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.issn1980-993X
dc.identifier.uriDOI: 10.4136/1980-993Xpt_BR
dc.identifier.urihttp://www.sbicafe.ufv.br/handle/123456789/13680
dc.language.isoenpt_BR
dc.publisherInstituto de Pesquisas Ambientais em Bacias Hidrográficaspt_BR
dc.relation.ispartofseriesRevista Ambiente & Água;v. 17, n. 2, 2022;
dc.rightsOpen Accesspt_BR
dc.subjectcaffeinept_BR
dc.subjectcanonical correlation analysispt_BR
dc.subjectwater quality modelingpt_BR
dc.subject.classificationCafeicultura::Resíduos e subprodutos do cafépt_BR
dc.titleIndirect caffeine modeling in an urban riverpt_BR
dc.typeArtigopt_BR

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