Chemical pollution monitoring of the River Pinios (Thessalia—Greece)

Bellos, D.; Sawidis, Thomas

doi:10.1016/j.jenvman.2005.01.027

Cited by 83 publications

(48 citation statements)

References 22 publications

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“…Moreover, the seasonal variation of TP was opposite to that of TN and NH 4 + -N (Fig.2). In general phosphate concentrations often showed less clear seasonal trends than other nutrients did (Bellos et al, 2004). However, in this research the level of TP was relatively higher in summer than that in other seasons, which might accelerate cyanobacteria bloom in summer.…”

Section: Chemical Variablescontrasting

confidence: 65%

Exploration of relationships between phytoplankton biomass and related environmental variables using multivariate statistic analysis in a eutrophic shallow lake: A 5-year study

Wang

Lü

et al. 2007

Journal of Environmental Sciences

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Understanding the process of the changing phytoplankton patterns can be particularly useful in water quality improvement and management decisions. However, it is generally not easy to illustrate the interactions between phytoplankton biomass and related environmental variables given their high spatial and temporal heterogeneity. To elucidate relationships between them, in a eutrophic shallow lake, Taihu Lake, relative long-term data set of biotic and abiotic parameters of water quality in the lake were conducted using multivariate statistical analysis within seasonal periodicity. The results indicate that water temperature and total phosphorus (TP) played governing roles in phytoplankton dynamics in most seasons (i.e. temperature in winter, spring and summer; TP in spring, summer and autumn); COD (chemical oxygen demand) and BOD (biological oxygen demand) presented significant positive relationships with phytoplankton biomass in spring, summer and autumn. However, a complex interplay was found between phytoplankton biomass and nitrogen considering significant positive relationships occurring between them in spring and autumn, and conversely negative ones in summer. As the predatory factor, zooplankton presented significant grazing-pressure on phytoplankton biomass during summer in view of negative relationship between them in the season. Significant feedback effects of phytoplankton development were identified in summer and autumn in view that significant relationships were observed between phytoplankton biomass and pH, Trans (transparency of water) and DO. The results indicate that interactions between phytoplankton biomass and related environmental variables are highly sensitive to seasonal periodicity, which improves understanding of different roles of biotic and abiotic variables upon phytoplankton variability, and hence, advances management methods for eutrophic lakes.

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Section: Chemical Variablescontrasting

confidence: 65%

Exploration of relationships between phytoplankton biomass and related environmental variables using multivariate statistic analysis in a eutrophic shallow lake: A 5-year study

Wang

Lü

et al. 2007

Journal of Environmental Sciences

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“…The COD is widely used as a measure of the susceptibility to oxidation of the organic and inorganic materials present in the water bodies. COD (Bellos and Sawidis, 2005). The COD values recorded in the entire sampling sites crossed the limit prescribed by the WHO guidelines (10mgL −1 ) for drinking water quality criteria (WHO, 2004).…”

Section: Chemical Oxygen Demandmentioning

confidence: 69%

Seasonal Variations in Water Quality Parameters of River Yamuna, India

Hassan¹,

Parveen²,

Bhat³

et al. 2017

Int.J.Curr.Microbiol.App.Sci

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“…Furthermore, this factor accounts for the majority of total variance, which suggests that overloading of nutrients is the principal environmental problem to aquatic systems in the Taihu watershed (Luo et al, 2005). The second factor may be taken as an ecological response dimension (feedback effects), considering that pH and DO are strongly influenced by other environmental variables, and the two indicators are sensitive to water pollution (Boyle and Fraleigh, 2003;Bellos et al, 2004). The third factor denotes the organic chemical contamination dimension because of the dominant contribution from Petro and V-phen to this factor.…”

Section: Principal Component Analysis On Parameters Of Water Quality mentioning

confidence: 99%

Identification of anthropogenic influences on water quality of rivers in Taihu watershed

Wang

Lü

Han

et al. 2007

Journal of Environmental Sciences

134

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Surface water bodies are progressively subjected to stress as a result of anthropogenic activities. This study assessed and examined the impact of human activities on spatial variation in the water quality of 19 rivers in the Taihu watershed. Concentrations of physicochemical parameters of surface water quality were determined at the mouth of each river during the period of 2000-2004. Multivariate statistical techniques were applied to identify characteristics of the water quality in the studied rivers. The results showed that rivers strongly influenced by household wastewater have the highest concentrations of nutrients (TN and TP). Moreover, rivers in the vicinity of a metropolis presented low dissolved oxygen (DO) levels. However, organic-chemical pollution (petroleum and volatile phenolics) was identified with high localization. Two rivers influenced by sewage from industry and ships were distinguished from other rivers with high values of petroleum. The Taige channel, a river located in Changzhou City that is strongly influenced by wastewater from industry, was characterized with an extraordinarily high value of volatile phenolics. Rivers passing through countries, especially through hilly countries were characterized with high DO contents and low nutrient and organic-chemical pollution, suggesting that agriculture puts less pressure on water quality in adjacent rivers. Therefore, more effort should be made in controlling point pollution to restore water quality in rivers adjacent to cities.

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Chemical pollution monitoring of the River Pinios (Thessalia—Greece)

Cited by 83 publications

References 22 publications

Exploration of relationships between phytoplankton biomass and related environmental variables using multivariate statistic analysis in a eutrophic shallow lake: A 5-year study

Exploration of relationships between phytoplankton biomass and related environmental variables using multivariate statistic analysis in a eutrophic shallow lake: A 5-year study

Seasonal Variations in Water Quality Parameters of River Yamuna, India

Identification of anthropogenic influences on water quality of rivers in Taihu watershed

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