Factor analysis for the study of water resources contamination due to the use of livestock slurries as fertilizer

Vidal, M.; López, Alba Nogueira; Santoalla, M.C; Vallès, Vincent

doi:10.1016/s0378-3774(99)00073-6

Cited by 21 publications

(17 citation statements)

References 13 publications

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“…A factor reflecting the dilution by rainfall was also found in a water quality study by Vidal et al (2000), but accounted there for a larger share of the variance. In contrast to the results of the PCA, the cluster analysis yielded one cluster of variables only containing the precipitation and the nitrate concentrations, stressing the 'mobilising' instead of the 'diluting' effect of precipitation.…”

Section: Factor Analysismentioning

confidence: 70%

A comprehensive study of nutrient losses, soil properties and groundwater concentrations in a degraded peatland used as an intensive meadow – Implications for re-wetting

Tiemeyer

Frings

Kahle

et al. 2007

Journal of Hydrology

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Section: Factor Analysismentioning

confidence: 70%

A comprehensive study of nutrient losses, soil properties and groundwater concentrations in a degraded peatland used as an intensive meadow – Implications for re-wetting

Tiemeyer

Frings

Kahle

et al. 2007

Journal of Hydrology

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“…Cluster analysis is not a statistical technique; the results obtained are justified according to their value in interpreting data and indicating patterns (Adams, 1998;Johnson and Wichern, 1992). Many applications of CA for water quality assessments have been reported (see Chen, 1993;Graca and Coimbra, 1998;Vega et al, 1998;Day et al, 1998;Perona et al, 1999;Berzas et al, 2000;Vidal et al, 2001;Wunderlin et al, 2001;Razmkhah, 2002;Simeonova et al, 2003;Mendiguchia et al, 2004;Singh et al, 2004Singh et al, , 2005Lourenco et al, 2006;Astel et al, 2007;Zhou et al, 2007;Andrade et al, 2008;Mahbub et al, 2008).…”

Section: Cluster Analysismentioning

confidence: 99%

Evaluation of spatial and temporal variation in water quality by pattern recognition techniques: A case study on Jajrood River (Tehran, Iran)

Razmkhah

Ali

Torkian

2010

Journal of Environmental Management

196

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“…According to Sperling (1996) and Vidal et al (2000), in water sources and rivers the determination of the predominant portion of nitrogen may provide information about the pollution status. The nitrogen compounds in organic form or ammonia refer to the recent pollution, while nitrite and nitrate pollution more remote contamination.…”

Section: Water Quality Index (Wqi)mentioning

confidence: 99%

Water quality index using multivariate factorial analysis

Coletti

Testezlaf

Ribeiro

et al. 2010

Rev. bras. eng. agríc. ambient.

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The evaluation of environmental effects generated by agricultural production on water quality became essential in Brazil after the creation of policies for the use and conservation of water resources. For such, water quality indices have been considered with the purpose of showing the spatial and temporal variation of water quality in a watershed. The objective of this study was to develop a water quality index (WQI) applying the Multivariate Factorial Analysis (MFA) statistical technique, which could indicate the influence of agricultural activities in the quality of water resources. Water in a predominantly farm watershed was monitored from Sept. 2003 to Sept. 2004. Monthly water collections were carried out at six sample points, and eight parameters were analyzed: nitrate, ammoniacal nitrogen, ammonia, total phosphorus, electrical conductivity, pH, suspended solids and turbidity, which were considered important due to the agricultural management adopted in the region. Results indicated a contamination of agricultural origin along the basin. Factorial analysis showed that ammonia, ammoniacal nitrogen and nitrate parameters were the ones that most contributed in determining the WQI.Key words: agricultural contamination, water resources, watershed Índice de qualidade de água usando análise fatorial multivariada RESUMO A avaliação dos impactos gerados pela agricultura sobre a qualidade da água tornou-se primordial no Brasil após o estabelecimento das políticas de uso e conservação dos recursos hídricos, razão por que índices de qualidade de água são propostos com o intuito de se mostrar a evolução da qualidade da água no tempo e no espaço. O objetivo primeiro neste estudo, foi desenvolver um índice de qualidade de água (IQA), utilizando-se a técnica estatística da Análise Fatorial Multivariada, avaliando-se a influência das atividades agrícolas na qualidade dos recursos hídricos; realizou-se, para se atingir o proposto, um monitoramento da qualidade da água em uma bacia hidrográfica de uso predominantemente agrícola, no período de set/03 a set/04. Realizaram-se, também, coletas mensais de água em seis pontos, analisando-se oito variáveis (nitrato, nitrogênio amoniacal, amônia, fósforo total, condutividade elétrica, pH, turbidez e sólidos suspensos), julgadas importantes pelo manejo agrícola adotado na região. Os resultados obtidos indicaram uma contaminação de origem agrícola ao longo da bacia, sendo que, pela análise fatorial, amônia, nitrogênio amoniacal e nitrato foram as variáveis que mais contribuíram na determinação do IQA.

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Factor analysis for the study of water resources contamination due to the use of livestock slurries as fertilizer

Cited by 21 publications

References 13 publications

A comprehensive study of nutrient losses, soil properties and groundwater concentrations in a degraded peatland used as an intensive meadow – Implications for re-wetting

A comprehensive study of nutrient losses, soil properties and groundwater concentrations in a degraded peatland used as an intensive meadow – Implications for re-wetting

Evaluation of spatial and temporal variation in water quality by pattern recognition techniques: A case study on Jajrood River (Tehran, Iran)

Water quality index using multivariate factorial analysis

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