Multivariate Analysis of Water Quality Measurements on the Danube River
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Otros documentos de la autoría: Horvat, Zoltan; Horvat, Mirjana; Pastor, Kristian; Bursic, Vojislava; Puvača, Nikola
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Título
Multivariate Analysis of Water Quality Measurements on the Danube RiverFecha de publicación
2021-12-17Editor
MDPICita bibliográfica
Horvat, Z.; Horvat, M.; Pastor, K.; Bursi´c, V.; Puvaˇca, N. Multivariate Analysis of Water Quality Measurements on the Danube River. Water 2021, 13, 3634. https://doi.org/10.3390/w13243634Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
This study investigates the potential of using principal component analysis and other multivariate analysis techniques to evaluate water quality data gathered from natural watercourses. With this goal in mind, a ... [+]
This study investigates the potential of using principal component analysis and other multivariate analysis techniques to evaluate water quality data gathered from natural watercourses. With this goal in mind, a comprehensive water quality data set was used for the analysis, gathered on a reach of the Danube River in 2011. The considered measurements included physical, chemical, and biological parameters. The data were collected within seven data ranges (cross-sections) of the Danube River. Each cross-section had five verticals, each of which had five sampling points distributed over the water column. The gathered water quality data was then subjected to several multivariate analysis techniques. However, the most attention was attributed to the principal component analysis since it can provide an insight into possible grouping tendencies within verticals, cross-sections, or the entire considered reach. It has been concluded that there is no stratification in any of the analyzed water columns. However, there was an unambiguous clustering of sampling points with respect to their cross-sections. Even though one can attribute these phenomena to the unsteady flow in rivers, additional considerations suggest that the position of a cross-section can have a significant impact on the measured water quality parameters. Furthermore, the presented results indicate that these measurements, combined with several multivariate analysis methods, especially the principal component analysis, may be a promising approach for investigating the water quality tendencies of alluvial rivers. [-]
Publicado en
Water 2021, 13(24)Entidad financiadora
Ministry of Education, Science and Technological Development, Republic of Serbia
Código del proyecto o subvención
451-03-9/2021-14/200093 | 451-03-9/2021-14/200134
Derechos de acceso
info:eu-repo/semantics/openAccess
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- MED_Articles [662]
Excepto si se señala otra cosa, la licencia del ítem se describe como: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).