Monitoring of water quality from roof runoff: Interpretation using multivariate analysis

Vialle, Claire; Sablayrolles, Caroline; Lovera, Maurin; Jacob, S.; Huau, M.-C.; Montréjaud-Vignoles, Mireille

doi:10.1016/j.watres.2011.04.029

Cited by 133 publications

(81 citation statements)

References 42 publications

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“…The strong acidity of well waters around the sites is in contrast to a previous study conducted in Guinea where the pH content was skewed to be alkaline [13]. Our findings for pH is firmly in line with a similar in Bo, Sierra Leone [9], and recently reported for ground water sources around a Dumpsite Lagos, Nigeria [14]; and in bacteriological contamination of shallow ground water in Cameroon [15]; and surface runoff even though the studies were slightly different [16]. Probable reason for such strong acid nature at these sites could be ascribed to the surrounding coastal water which is controlled by its hydrological settings [14].…”

Section: Resultssupporting

confidence: 89%

Comprehensive Assessment of Groundwater Quality around a Major Mining Company in Southern Sierra Leone

Massally¹,

Sheriff²,

Kaitibi³

et al. 2017

JWARP

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Ensuring availability and sustainable management of water and sanitation for all by 2030 is Goal 6 of the Sustainable Development Goals (SDGs). Since developing countries especially in Africa would struggle to meet this target, this study was conceived. Hence, the study was designed to assess the water quality for physiochemical parameters around a mined out site in southern Sierra Leone with the view to determine their levels, determine related associations among indicators and explore environmental forensic options. A finite population correction factor was used to identify fifty (50) groundwater sources from one hundred and fifty two (152) in nine (9) sections of Moriba Town, in Moyamba District, Sierra Leone which constitute the sample size. The study assessed sixteen (16) High values with significant variance of water quality indicators of physical to chemical ratio were observed for pH, temperature, electrical conductivity (EC) and total dissolved solids (TDS) but no such observation was noted for turbidity. On the whole, the water quality was judged to be good, although more pro active actions were encouraged by the local people and the mining company so as to reduce contamination in some areas.

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Section: Resultssupporting

confidence: 89%

Comprehensive Assessment of Groundwater Quality around a Major Mining Company in Southern Sierra Leone

Massally¹,

Sheriff²,

Kaitibi³

et al. 2017

JWARP

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“…Exclusion of this PF5 for WWTP2 meant the reduction in the explained variance from 71.22% down to 63.82% of the dataset. Similar results have been previously reported; Zhang et al [7] reported an explained variance of 58.79% for four factors controlling the water quality of the Xiangjiang River, and Vialle et al [8] explained, with three components, a 60.00% of the total variance of their dataset for water quality monitoring of roof runoff.…”

Section: Principal Factor Analysis For Wwtp2supporting

confidence: 88%

“…The final objective was to investigate a data reduction that allows grouping water quality variables into selected factors with common features to describe the behaviour of the plant in terms of pollution sources and treatment efficiency with a few uncorrelated components. Multivariate techniques have been widely applied to grouping water quality variables for different purposes; i.e., the composition of sewage of domestic origin [5], surface water [6,7], water quality from roof runoff [8], river watersheds [9], distribution of organic pollutants [10,11], heavy metal distribution in waters [12], new policy instruments in domestic wastewater treatment systems [13], mineral waters [14], and WWTP [15][16][17], among others. The multivariate statistical analysis employed for this study, besides allowing us to simplify the whole set of analyzed variables, eventually gave unexpected relationships among data, leading us to extract conclusions never expected with a more simplistic statistical approach [18].…”

Section: Introductionmentioning

confidence: 99%

Assessing the environmental impact of wastewater treatment plants by chemometric approach

Bayo¹,

Ruiz-Martínez²,

Carpe³

et al. 2016

Int. J. SDP

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This paper presents the results of principal factor analysis technique (PFA) developed for a 3-year study (2010)(2011)(2012) on two urban wastewater treatment plants (WWTPs) situated in Murcia, Southeast of Spain. One of them receives wastewater for a medium-sized city (WWTP1), with an important industrial area, and the other one treats only domestic wastewater from a small-sized town (WWTP2), with slightly different treatment systems between them. Process performance and operation of WWTP are carried out to ensure their compliance with legislative requirements imposed by European Union. Because high amounts of variables are daily measured, a coherent and structured approach of such a system is required to understand its inherent behavior and performance efficiency. In this sense, PFA as a chemometric technique allowed us to investigate and propose a data reduction that allowed to group water-quality variables into selected factors with common features to describe the behavior of both plants, and their similarities and differences. Four main factors were extracted for WWTP1, associated with the presence of nutrients, the ionic component, the organic load to the plant, and the efficiency of the whole process, with an explaining variance of 62.12%. For WWTP2, also four main components were extracted, explaining 63.82% of the variance. These factors were pollution load to the plant, pollution output, marine intrusion, and, finally, the ionic component of water. The geochemical background composition of water in this zone and the important use of fertilizers in agriculture appeared to be two significant factors driving the results.

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“…O crescimento populacional e o uso e ocupação do solo de forma desordenada limita a disponibilidade de água para usos múltiplos (VIALLE et al, 2011). Esse fato é mais agravante em regiões secas onde a limitação da disponibilidade hídrica é um processo natural.…”

Section: Introductionunclassified

Adapting the National Sanitation Foundation water quality index to the Brazilian semiarid

Ferreira

Lopes

Andrade

et al. 2015

Revista Ciência Agronômica

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RESUMO -Conhecer a qualidade da água de um reservatório utilizado para consumo humano é importante. Os índices de qualidade de água são utilizados para facilitar a compreensão dessa qualidade. Este estudo teve como objetivos adaptar e comparar o índice de qualidade de água da National Sanitation Foundation, às condições físicas, químicas e biológicas das águas de reservatórios artificiais em regiões com clima semiárido tropical, bem como a variabilidade espaço-temporal do mesmo. Foram realizadas doze coletas de água de abril de 2008 a abril de 2010 em sete pontos amostrais distribuídos no reservatório Orós, na região centro sul do estado do Ceará. Os atributos de qualidade de água monitorados utilizados para cálculo e adaptação do índice foram: pH, temperatura, oxigênio dissolvido, demanda bioquímica de oxigênio, fósforo total, nitrato, sólidos totais, turbidez e coliformes termotolerantes. A partir delas, empregou-se a Análise de Componente Principal para determinação dos pesos a serem associados aos parâmetros presentes no índice de qualidade de água e adaptá-lo a reservatórios de regiões de clima semiárido. As águas do reservatório foram classificadas como de qualidade regular durante a maior parte do período de estudo. Apesar de variar com o regime de chuvas, foi observado efeito da sazonalidade sobre a qualidade da água. Observou-se que o índice adaptado para regiões de clima semiárido é estatisticamente diferente dos índices de outras regiões. Entretanto, observou-se diferença apenas na sensibilidade e nos pesos dos atributos determinantes da qualidade de água. Palavras-chave: Água-qualidade. Reservatórios. Águas superficiais.ABSTRACT -Knowledge of the water quality of a reservoir used for human consumption is important. Water quality indices are used to facilitate understanding of this quality. This study aimed to adapt and compare the water quality index of the National Sanitation Foundation to the physical, chemical and biological conditions of artificial reservoirs in regions with tropical semiarid climate and its spatio-temporal variability. Twelve water samples were taken between April 2008 to April 2010 in seven sampling points distributed in Orós reservoir in the southern of Ceará. Water quality attributes that were monitored and used for calculation and adjustment of the index were: pH, temperature, dissolved oxygen, biochemical oxygen demand, total phosphorus, nitrate, total solids, turbidity and fecal coliform. From them, we used the Principal Component Analysis to determine the weights to be associated with the parameters of the water quality index and adapt it to reservoirs of semiarid climates. The water quality of the reservoir was classified as regular for most of the study period. Although varying with rainfall, there was effect of seasonality on water quality. It was observed that the index adapted to semiarid climate regions is statistically different from indices from other regions. However, the difference is observed only in sensitivity and weigths of determining attributes quality.

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Monitoring of water quality from roof runoff: Interpretation using multivariate analysis

Cited by 133 publications

References 42 publications

Comprehensive Assessment of Groundwater Quality around a Major Mining Company in Southern Sierra Leone

Comprehensive Assessment of Groundwater Quality around a Major Mining Company in Southern Sierra Leone

Assessing the environmental impact of wastewater treatment plants by chemometric approach

Adapting the National Sanitation Foundation water quality index to the Brazilian semiarid

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