2010
DOI: 10.1016/j.chemolab.2010.04.014
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Multivariate analysis of the water quality variation in the Serra da Estrela (Portugal) Natural Park as a consequence of road deicing with salt

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Cited by 23 publications
(8 citation statements)
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“…The residence time will determine the evolution of Na + and Cl − concentrations. If the residence time is lower than a year, these concentrations will diminish before the next winter season, forming annual cycles [36,65]. If the residence time is longer, Na + and Cl − will not be flushed completely between salting seasons and will still be present in waters next winter, leading to a gradual increase of these concentrations from 1 year to another [62].…”
Section: Surface Watersmentioning
confidence: 99%
“…The residence time will determine the evolution of Na + and Cl − concentrations. If the residence time is lower than a year, these concentrations will diminish before the next winter season, forming annual cycles [36,65]. If the residence time is longer, Na + and Cl − will not be flushed completely between salting seasons and will still be present in waters next winter, leading to a gradual increase of these concentrations from 1 year to another [62].…”
Section: Surface Watersmentioning
confidence: 99%
“…In these cases, multivariate statistical techniques have been successfully applied (Massart et al 1988;Wenning and Erickson 1994;Dixon and Chiswell 1996;Suárez 2012;Kumarasamy et al 2014;Ogwueleka 2015). Multivariate analysis is useful to reduce the dimensionality of the data set, to evaluate the relative importance of combinations of variables and to facilitate the understanding of multiconstituent chemical and physical measurements (Vega et al 1998;Helena et al 2000;Rodrigues et al 2010;Cid et al 2011;and references therein). Wiens (2002) noted that, in studies on river systems, it is important to consider both longitudinal and lateral dimensions, as well as seasonal variations.…”
Section: Introductionmentioning
confidence: 98%
“…As reflexões relativas à integração das variáveis de qualidade da água com a gestão de recursos hídricos são, em geral, no sentido de estabelecer um conjunto mínimo de variáveis mais relevantes para o monitoramento (COELHO, 2013;REINELT et al, 1992;BALTACI et al, 2008). Como exemplo tem-se a aplicação da Análise Estatística Multivariada para o reconhecimento de padrões entre pontos e variáveis de amostragem, com intuito de reduzir o número de variáveis e pontos nos programas de monitoramento (GEIB;EINAX, 1996;FRANÇA et al, 2009;RODRIGUES et al, 2010;GUEDES et al, 2012).…”
Section: Introductionunclassified