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01.08.2020 | Original Article

Relationship between water quality parameters and land use of a small Amazonian catchment

verfasst von: Raimunda da Silva e Silva, Claudio José Cavalcante Blanco, Igor Campos da Silva Cavalcante, Luiza Carla Girard Mendes Teixeira, Lindemberg Lima Fernandes, Francisco Carlos Lira Pessoa

Erschienen in: Sustainable Water Resources Management | Ausgabe 4/2020

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Abstract

The aim of this study was to verify the relationship between water quality parameters and land use in a small Amazonian catchment to evaluate the potential contamination considering seasonality. For this purpose, water samples were collected monthly in the period from April 2015 to October 2017. The variables influencing the water quality of the basin under study were identified through the use of a multivariate statistical analysis—factorial analysis/principal component analysis (FA/PCA). The analysis allowed the selection of three main components that accounted for 64.12% and 64.58% of the total data variation in the rainy and dry periods, respectively. For the rainy season, the three selected principal components (PCs) indicated surface runoff as the main determinant of the variables that compose them, and the organic contribution not associated with rainfall and the strong agricultural activity in the basin were suggestive of the variables of the dry period. It is also possible to observe the influence of the sediment load on the concentrations of nutrients/contaminants in the Prata catchment. This influence can be explained by the predominant type of land use in the small river basin.

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Titel: Relationship between water quality parameters and land use of a small Amazonian catchment
verfasst von: Raimunda da Silva e Silva
Claudio José Cavalcante Blanco
Igor Campos da Silva Cavalcante
Luiza Carla Girard Mendes Teixeira
Lindemberg Lima Fernandes
Francisco Carlos Lira Pessoa
Publikationsdatum: 01.08.2020
Verlag: Springer International Publishing
Erschienen in: Sustainable Water Resources Management / Ausgabe 4/2020
Print ISSN: 2363-5037
Elektronische ISSN: 2363-5045
DOI: https://doi.org/10.1007/s40899-020-00421-8

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