scholarly journals Daily Fluctuations in Thermal Stratification, Chlorophyll a, Turbidity and Dissolved Oxygen Concentration in Lake Biwa

1996 ◽  
Vol 57 (4-2) ◽  
pp. 377-393 ◽  
Author(s):  
Yuji TANAKA ◽  
Ryohei TSUDA
Keyword(s):  
Dissolved Oxygen ◽  
Chlorophyll A ◽  
Oxygen Concentration ◽  
Thermal Stratification ◽  
Lake Biwa ◽  
Dissolved Oxygen Concentration

scholarly journals Influence of climatic warming on the amount of snow cover and water quality of Lake Biwa, Japan

1993 ◽  
Vol 18 ◽  
pp. 257-260
Author(s):  
Hiroji Fushimi
Keyword(s):  
Dissolved Oxygen ◽  
Snow Cover ◽  
Oxygen Concentration ◽  
Catchment Area ◽  
Lake Biwa ◽  
Deep Layer ◽  
Climatic Warming ◽  
Dissolved Oxygen Concentration ◽  
Average Amount

The amount of snow cover in the Lake Biwa catchment area has changed significantly from 1.9 × 1012kg in 1974 to 0.3 × 1012kg in 1979. The amount of snow cover was less in the warmer winter and when the amount of snow cover was less than 1012 kg, the average amount of snow cover in recent years, the lowest dissolved-oxygen concentration in the deep layer rapidly decreases. Climatic warming will significantly decrease the amount of snow cover in Lake Biwa catchment area and the dissolved-oxygen concentration in the deep layer of the lake, which may further enhance eutrophication of the lake.

scholarly journals Influence of climatic warming on the amount of snow cover and water quality of Lake Biwa, Japan

1993 ◽  
Vol 18 ◽  
pp. 257-260 ◽  
Author(s):  
Hiroji Fushimi
Keyword(s):  
Dissolved Oxygen ◽  
Snow Cover ◽  
Oxygen Concentration ◽  
Catchment Area ◽  
Lake Biwa ◽  
Deep Layer ◽  
Climatic Warming ◽  
Dissolved Oxygen Concentration ◽  
Average Amount

The amount of snow cover in the Lake Biwa catchment area has changed significantly from 1.9 × 1012kg in 1974 to 0.3 × 1012kg in 1979. The amount of snow cover was less in the warmer winter and when the amount of snow cover was less than 1012 kg, the average amount of snow cover in recent years, the lowest dissolved-oxygen concentration in the deep layer rapidly decreases. Climatic warming will significantly decrease the amount of snow cover in Lake Biwa catchment area and the dissolved-oxygen concentration in the deep layer of the lake, which may further enhance eutrophication of the lake.

Dissolved oxygen concentration in river sediment of the Lake Biwa tributaries, Japan

Limnology ◽  
2011 ◽  
Vol 13 (1) ◽  
pp. 149-154 ◽  
Author(s):  
Yoshihiro Yamada ◽  
Yugo Mito ◽  
Akitake Igeta ◽  
Eitaro Wada
Keyword(s):  
Dissolved Oxygen ◽  
Oxygen Concentration ◽  
River Sediment ◽  
Lake Biwa ◽  
Dissolved Oxygen Concentration

scholarly journals Modeling chlorophyll-a and dissolved oxygen concentration in tropical floodplain lakes (Paraná River , Brazil)

2009 ◽  
Vol 69 (2 suppl) ◽  
pp. 491-500 ◽  
Author(s):  
RRA. Rocha ◽  
SM. Thomaz ◽  
P. Carvalho ◽  
LC. Gomes
Keyword(s):  
Electrical Conductivity ◽  
Dissolved Oxygen ◽  
Chlorophyll A ◽  
Oxygen Concentration ◽  
Information Criterion ◽  
Paraná River ◽  
Lake Area ◽  
Independent Data ◽  
Dissolved Oxygen Concentration ◽  
Parana River

The need for prediction is widely recognized in limnology. In this study, data from 25 lakes of the Upper Paraná River floodplain were used to build models to predict chlorophyll-a and dissolved oxygen concentrations. Akaike's information criterion (AIC) was used as a criterion for model selection. Models were validated with independent data obtained in the same lakes in 2001. Predictor variables that significantly explained chlorophyll-a concentration were pH, electrical conductivity, total seston (positive correlation) and nitrate (negative correlation). This model explained 52% of chlorophyll variability. Variables that significantly explained dissolved oxygen concentration were pH, lake area and nitrate (all positive correlations); water temperature and electrical conductivity were negatively correlated with oxygen. This model explained 54% of oxygen variability. Validation with independent data showed that both models had the potential to predict algal biomass and dissolved oxygen concentration in these lakes. These findings suggest that multiple regression models are valuable and practical tools for understanding the dynamics of ecosystems and that predictive limnology may still be considered a powerful approach in aquatic ecology.

Effect of Physicochemical Variables on Algal Autoflotation

1992 ◽  
Vol 26 (7-8) ◽  
pp. 1769-1778 ◽  
Author(s):  
S.-I. Lee ◽  
B. Koopman ◽  
E. P. Lincoln
Keyword(s):  
Dissolved Oxygen ◽  
Oxygen Concentration ◽  
Retention Time ◽  
Contact Time ◽  
Pilot Scale ◽  
Dissolved Oxygen Concentration ◽  
Physicochemical Variables ◽  
Rise Rate ◽  
Mixing Intensity ◽  
Maximum Rise

Combined chemical flocculation and autoflotation were examined using pilot scale process with chitosan and alum as flocculants. Positive correlation was observed between dissolved oxygen concentration and rise rate. Rise rate depended entirely on the autoflotation parameters: mixing intensity, retention time, and flocculant contact time. Also, rise rate was influenced by the type of flocculant used. The maximum rise rate with alum was observed to be 70 m/h, whereas that with chitosan was approximately 420 m/h. The efficiency of the flocculation-autoflotation process was superior to that of the flocculation-sedimentation process.

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