Seasonal changes of water quality in a tropical shallow and eutrophic reservoir in the metropolitan region of Recife (Pernambuco-Brazil)

Oliveira, Fábio Henrique Portella Corrêa de; Ara, André L.S. Capela E; Moreira, César Henrique Pinto; Lira, Osman O.; Padilha, Maria Do Rosário F.; Shinohara, Neide Kazue Sakugawa

doi:10.1590/0001-3765201420140128

Cited by 18 publications

(11 citation statements)

References 44 publications

(39 reference statements)

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“…Water quality has been the subject of recent studies in Brazil (Buzelli & Cunha-Santino, 2013;Cardoso-Silva et al, 2014;Oliveira et al, 2014) and abroad (Akoto & Abankwa, 2014;Dawson et al, 2015), specially because of pressure on hydric resources, due to increase in population density and the discharge of domestic and industrial effluents in water bodies, resulting in artificial eutrophication.…”

Section: Introductionmentioning

confidence: 99%

Water quality in four reservoirs of the metropolitan region of São Paulo, Brazil

et al. 2015

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Aim: This paper describes some limnological variables of four reservoirs with different trophic status (Billings, Guarapiranga, Jundiaí and Paiva Castro) of the Metropolitan Region of São Paulo, Brazil, aiming to characterize the water quality in these reservoirs. Methods: Water sampling occurred between October 2011 and September 2012, on subsurface, at the pelagic compartment. Physical and chemical characteristics of water were evaluated, and the Trophic State Index (TSI) was calculated. Multivariate Principal Components Analysis (PCA) was used to ordinate sampling sites and periods in relation to environmental data. Results: Two reservoirs were classified as eutrophic (Billings and Guarapiranga), one as mesotrophic (Jundiaí) and one as oligotrophic (Paiva Castro). The highest concentrations of total phosphorus, nitrogen and chlorophyll a were recorded in the eutrophic reservoirs. The lowest values of dissolved oxygen concentration were registered at Guarapiranga reservoir. Residence time in Paiva Castro reservoir was very low (one day); on the other hand, the highest value was recorded in Billings reservoir: 428 days.

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Section: Introductionmentioning

confidence: 99%

Water quality in four reservoirs of the metropolitan region of São Paulo, Brazil

et al. 2015

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“…These studies indicate that the rains have a strong influence on the total biomass of cyanobacteria, acting as a diluting and as a disturbance of aquatic communities. A decrease of cyanobacteria density was observed in the rainy season, due to the decrease in light intensity, making it difficult to perform photosynthesis by these organisms (Fernandes et al, 2005;Oliveira et al, 2014). The Principal Component Analysis (PCA) using 12 abiotic variables and 9 taxa of cyanobacteria, explained 79.32% of the variability of the data in the first two axes (axis 1: 53.11%; axis 2: 26.22%) ( Table 3).…”

Section: Resultsmentioning

confidence: 99%

“…Cyanobacterial blooms are associated with eutrophic water conditions, mainly by enriching reservoirs with macronutrients, such as nitrogen and phosphorus, from domestic and industrial effluents and agricultural practices (Affe and Barbosi, 2012;Oliveira et al, 2014). However, metals, even in trace concentrations, have influence on the metabolism and development of cyanobacteria in aquatic ecosystems (Esteves et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Influence of Metals on the Cyanobacterial Community in a Water Supply System in a Tropical Region

Baydum

Oliveira

2017

Water Environment Research

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This work aimed to study the influence of metals on the temporal dynamics of cyanobacteria community in Carpina Dam (7° 53' 22'' S and 35° 20' 34'' W). Samples were collected from Raw Water Pumping Station at the Water Treatment Station Feira Nova in the city of Feira Nova (Pernambuco, Brazil), from January 2011 to December 2013. The concentration of metals in water (aluminum, antimony, barium, lead, copper, chromium, cadmium, iron, manganese) was determined by atomic absorption spectroscopy in the laboratory. For the identification and counting of cyanobacteria, an inverted optical microscope and Sedgewick-Rafter counting chambers were used. Principal Component Analysis (PCA) was used for recognition of cluster patterns between the studied points. There were variations in abiotic and biotic components in the different years of study. The metals iron, aluminum, barium and manganese had the greatest influence on the temporal dynamics of cyanobacteria in the reservoir.

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“…Usually, studies focus on significance values to evaluate if there is or there is not, an association between environmental data and cyanobacteria (e.g. Oliveira et al 2014). It is clear that significance depends on the sampling effort (McBride 2005), and thus we used the same number of sampling units (i.e.…”

Section: Methodsmentioning

confidence: 99%

Monitoring studies should consider temporal variability to reveal relations between cyanobacterial abundance and environmental variables

Wojciechowski

2015

An. Acad. Bras. Ciênc.

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One of the main goals of monitoring cyanobacteria blooms in aquatic environments is to reveal the relationship between cyanobacterial abundance and environmental variables. Studies typically correlate data that were simultaneously sampled. However, samplings occur sparsely over time and may not reveal the short-term responses of cyanobacterial abundance to environmental changes. In this study, we tested the hypothesis that stronger cyanobacteria x environment relationships in monitoring are found when the temporal variability of sampling points is incorporated in the statistical analyses. To this end, we investigated relationships between cyanobacteria and seven environmental variables that were sampled twice yearly for three years across 11 reservoirs, and data from an intensive monitoring in one of these reservoirs. Poor correlations were obtained when correlating data simultaneously sampled. In fact, the 'highly recurrent' role of phosphorus in cyanobacteria blooms is not properly observed in all sampling periods. On the other hand, the strongest correlation values for the total phosphorus x cyanobacteria relationship were observed when we used the variation of sampling points. We have also shown that environment variables better explain cyanobacteria when a time lag is considered. We conclude that, in cyanobacteria monitoring, the best approach to reveal determinants of cyanobacteria blooms is to consider environmental variability.

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Seasonal changes of water quality in a tropical shallow and eutrophic reservoir in the metropolitan region of Recife (Pernambuco-Brazil)

Cited by 18 publications

References 44 publications

Water quality in four reservoirs of the metropolitan region of São Paulo, Brazil

Water quality in four reservoirs of the metropolitan region of São Paulo, Brazil

Influence of Metals on the Cyanobacterial Community in a Water Supply System in a Tropical Region

Monitoring studies should consider temporal variability to reveal relations between cyanobacterial abundance and environmental variables

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