Chemometrics characterisation of the quality of river water

Brodnjak-Vončina, Darinka; Dobčnik, Danilo; Novič, Marjana; Zupan, Jure

doi:10.1016/s0003-2670(02)00298-2

Cited by 106 publications

(53 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It can be interpreted as evidence of the dissolution of geological soil components (BRODNJAK-VONCINA et al, 2002). VF 2 (25.44% of the variance) is mainly driven by pH and HCO 3 -, (loadings > 0.85); which may be attributed to the level of acidity of water.…”

Section: Principal Component Analysismentioning

confidence: 99%

“…K + ions are in the fertilizer and were applied at rates of 36 kg ha -1 of K in A2. Since all these variables represent dissolution of soil constituents, the VF 1 's in both areas can also represent the hydrochemical process (BRODNJAK-VONCINA et al, 2002). VF 2 for A2 is strongly and positively (loading = 0.97) related only with NO 3 -, due to the agriculture activities occurring in the area.…”

Section: Principal Component Analysismentioning

confidence: 99%

See 1 more Smart Citation

Land use and groundwater quality: the case of Baixo Acaraú Irrigated Perimeter, Brazil

Andrade¹,

Lopes²,

Palácio³

et al. 2010

Rev. Ciênc. Agron.

View full text Add to dashboard Cite

-The aim of this work was to identify and to investigate the determining factors of water table quality in the Irrigated Perimeter of Baixo Acaraú, Ceará, Brazil, using factor analysis/principal component analysis (FA/PCA). It was sampled nine shallow wells spread out on two different types of land: uncultivated area (A1) and irrigated area (A2 , HCO 3 -and CO 3 -2 . The PCA resulted in a model composed of three components that explained 93.06% and 83.72% of the total variance of the data set from A1 and A2, respectively. It was found that the determining factors of water quality were the mineralization processes and anthropogenic activities in both areas. The anthropogenic activities in the irrigated area were related to nitrogenous fertilizers, while those in the uncultivated area were associated with the presence of septic tanks (from the lack of sewage treatment). , NO 3 -, SO 4 -2 , HCO 3 -e CO 3 -2 . O emprego da AF/ACP resultou em um modelo composto por três componentes explicando 93,06 e 83,72%, da variância total, respectivamente, para as áreas A1 e A2. Os fatores que influenciam na qualidade das águas subterrâneas, em ambas as áreas, foram definidos pelo processo natural de intemperismo geológico do solo e da ação antrópica. Nas áreas de cultura irrigada, a ação antrópica foi determinada por um fator relacionado aos nutrientes nitrogenados e correções de acidez dos solos. Nas áreas não cultivadas, a ação antrópica foi definida por um fator de saneamento básico (uso de fossas sépticas com lançamentos diretos ao solo). O manejo adotado nas áreas irrigadas do Distrito de Irrigação do Baixo Acaraú está contribuindo para um aumento gradual nas concentrações de nitrato em águas do lençol freático. Keywords -Palavras-chave -Ação antrópica-fertilizantes. Poços rasos. Irrigação-contaminação hídrica.

show abstract

Section: Principal Component Analysismentioning

confidence: 99%

Section: Principal Component Analysismentioning

confidence: 99%

Land use and groundwater quality: the case of Baixo Acaraú Irrigated Perimeter, Brazil

Andrade¹,

Lopes²,

Palácio³

et al. 2010

Rev. Ciênc. Agron.

View full text Add to dashboard Cite

show abstract

“…Environmetric methods have been widely used in drawing meaningful information from masses of environmental data. These methods have often been used in exploratory data analysis tools for classification (Brodnjak-Voncina et al 2002;Kowalkowski et al 2006) of samples (observations) or sampling stations and the identification of pollution sources (Massart et al 1997;Vega et al 1998;Shrestha and Kazama 2007). Environmetrics have also been applied to characterize and evaluate the surface and freshwater quality as well as verifying spatial variations caused by natural and anthropogenic factors (Helena et al 2000;Singh et al 2005;Juahir et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Spatial water quality assessment of Langat River Basin (Malaysia) using environmetric techniques

Juahir

Zain

Yusoff

et al. 2010

Environ Monit Assess

289

196

View full text Add to dashboard Cite

This study investigates the spatial water quality pattern of seven stations located along the main Langat River. Environmetric methods, namely, the hierarchical agglomerative cluster analysis (HACA), the discriminant analysis (DA), the principal component analysis (PCA), and the factor analysis (FA), were used to study the spatial variations of the most significant water quality variables and to determine the origin of pollution sources. Twenty-three water quality parameters were initially selected and analyzed. Three spatial clusters were formed based on HACA. These clusters are designated as downstream of Langat river, middle stream of Langat river, and upstream of Langat River regions. Forward and backward stepwise DA managed to discriminate six and seven water quality variables, respectively, from the original 23 variables. PCA and FA (varimax functionality) were used to investigate the origin of each water quality variable due to land use activities based on the three clustered regions. Seven principal components (PCs) were obtained with 81% total variation for the high-pollution source (HPS) region, while six PCs with 71% and 79% total variances were obtained for the moderatepollution source (MPS) and low-pollution source (LPS) regions, respectively. The pollution sources for the HPS and MPS are of anthropogenic sources (industrial, municipal waste, and agricultural runoff). For the LPS region, the domestic and agricultural runoffs are the main sources of pollution. From this study, we can conclude that the application of environmetric methods can reveal meaningful information on the spatial variability of a large and complex river water quality data.

show abstract

“…Para manejar los resultados de todas las medidas Brodnjak-Vončina et al (2002) emplearon distintos métodos: (i) los métodos estadísticos básicos para la determinación de los valores de la media y la mediana, las desviaciones estándar, los valores mínimo y máximo de las variables medidas y sus coeficientes de correlación mutuos, (ii) el análisis de componentes principales (PCA) y (iii) el método de agrupamiento basado en la red neuronal de Kohonen. De los resultados se concluyó que el método PCA no discriminó lo suficiente debido a que las variables estaban débilmente correlacionadas.…”

Section: Petersen Et Al (2001) Aplicaron La Técnica De Análisis De Cunclassified

“…El PCA se usa como un procedimiento matemático que transforma un conjunto de variables correlacionadas en un nuevo conjunto de variables no correlacionadas (las componentes principales) (Johnson, 1992). Esta técnica está siendo cada vez más popular en la modelación ecológica y ambiental (Marengo et al, 1995;Vega et al, 1998;Wunderlin et al, 2000;Petersen et al, 2001;Brodnjak-Vončina et al, 2002;Simeonov et al, 2002;Montes-Botella et al, 2003;Mendiguchía et al, 2004;Singh et al, 2004;De Carlo et al, 2004;Parinet et al, 2004;Çamdevýren et al, 2005;Singh et al, 2005;Giussani et al, 2006;Kowalkowski et al, 2006;Terrado et al, 2006;Castañé et al, 2006;Felipe-Sotelo, 2007;Terrado et al, 2007;Shrestha et al, 2007;Kannel et al, 2007).…”

Section: Análisis De Componentes Principales (Pca)unclassified

Modelación unidimensional de la calidad del agua en embalses. Análisis comparativo de modelos y multivariantes.

Gutiérrez¹

View full text Add to dashboard Cite

Chemometrics characterisation of the quality of river water

Cited by 106 publications

References 16 publications

Land use and groundwater quality: the case of Baixo Acaraú Irrigated Perimeter, Brazil

Land use and groundwater quality: the case of Baixo Acaraú Irrigated Perimeter, Brazil

Spatial water quality assessment of Langat River Basin (Malaysia) using environmetric techniques

Modelación unidimensional de la calidad del agua en embalses. Análisis comparativo de modelos y multivariantes.

Contact Info

Product

Resources

About