scholarly journals A modelling approach to simulate Chlorophyta and Cyanobacteria biomasses based on historical data of a Brazilian urban reservoir

2021 ◽  
Vol 16 (5) ◽  
pp. 1
Author(s):  
Carolina Cerqueira Barbosa ◽  
Lenora Nunes Ludolf Gomes ◽  
Ricardo Tezini Minoti
Keyword(s):  
Water Quality ◽  
Green Algae ◽  
Historical Data ◽  
Cyanobacterial Bloom ◽  
Bottom Layer ◽  
Blue Green Algae ◽  
Water Quality Deterioration ◽  
Good Agreement ◽  
Modelling Approach ◽  
Phytoplankton Group

A process-based model was used to simulate a hindcast based on the worst historical water quality condition of a tropical urban reservoir. Paranoá Lake is located in Brasília-DF, Brazil, and went through intense eutrophication in the 70s and 90s, with an important cyanobacterial bloom event in 1978. The parameters of phytoplankton were calibrated, focusing on the group of Chlorophyta (green algae) and Cyanobacteria (blue-green algae) at four depths (1, 10, 15 and 20m). The results indicated that the model was able to reproduce the Cyanobacteria biomass in comparison with the observations (RMSE=22-29.10-3 mgC L-1). On the other hand, the simulated Chlorophyta biomass showed good agreement with the observed data only in the bottom layer (RMSE=29. 10-3 mgC L-1 at 20m). In the hindcast simulation, the model was able to predict a significant increase in cyanobacterial biomass facing a water quality deterioration. In the meantime, the simulated Chlorophyta biomass decreased, which may indicate the phytoplankton group succession in response to the environmental conditions.

The relationship between musty-odor-causing organisms and water quality in Lake Biwa

1995 ◽  
Vol 31 (11) ◽  
pp. 153-158 ◽  
Author(s):  
M. Kajino ◽  
K. Sakamoto
Keyword(s):  
Water Quality ◽  
Data Analysis ◽  
Green Algae ◽  
Analytical Methods ◽  
Lake Biwa ◽  
Blue Green Algae ◽  
Odor Compounds ◽  
Musty Odor ◽  
The Relationship

Musty odor has occurred annually in Lake Biwa since 1969. Osaka municipal waterworks, which is located downstream of Lake Biwa, has made many efforts to treat musty-odor compounds produced in Lake Biwa from spring through autumn. With the development of analytical methods for the determination of musty-odor compounds, we have been able to confirm that planktonic blue-green algae are the major causes of the musty-odor occurrences. The relationship between the growth of blue-green algae and the water quality was not so apparent. However, through our data analysis focusing on the relationship between musty-odor occurrences due to Phormidium tenue or Oscillatoria tenuis and some nutrients in Lake Biwa, we found that the concentration of nitrate in water may be an important parameter for the estimation of growth of the algae and the musty-odor behavior.

Elimination of microcystis cyanobacteria (blue-green algae) by an ozoflotation process: a pilot plant study

1994 ◽  
Vol 30 (8) ◽  
pp. 245-257 ◽  
Author(s):  
F. Benoufella ◽  
A. Laplanche ◽  
V. Boisdon ◽  
M. M. Bourbigot
Keyword(s):  
Water Quality ◽  
Green Algae ◽  
Contact Time ◽  
Organic Content ◽  
Raw Water ◽  
Time Curve ◽  
Blue Green Algae ◽  
Utilisation Rate ◽  
Microcystis Strain ◽  
Improve Water Quality

It is now known that since cyanobacteria (blue-green algae) occur in both swimming and drinking water supplies, and lakes and rivers, they represent an increasing hazard to animal life and human population. Moreover, high algal contents pose also a number of operation problems for water purification plants. The objective of the work is to study the elimination of a Microcystis strain of cyanobacateria by the use of an ozoflotation process which associates the oxidizing properties of ozone and the physical aspects of flotation. The functioning and the efficiency of a pilot unit is presented according to such parameters as: ozone dose, flow rate, coagulants and raw water quality. The use of ozone in pretreatment leads to an inactivation of the algal cells. Experiments let us calculate the specific ozone utilisation rate of Microcystis and the [C.t] (ozone concentration, contact time) curve is determined versus algal removal. Under real conditions, a previous coagulation stage is necessary; best results are obtained with ferric chloride. Preozonation is also of influence on the enhancement of the coagulation efficiency. Association of the ozoflotation process and bilayer filtration can solve the algae problems of waters presenting low turbidity and low organic content, and improve water quality.

scholarly journals The Dynamic of Blue-Green Algae (Cyanobacteria) in Eutrophic Tropical Waters, The Cirata Reservoir

2021 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Fariha Luthfiani ◽  
Sunardi Sunardi ◽  
Hikmat Kasmara
Keyword(s):  
Water Quality ◽  
Community Structure ◽  
Green Algae ◽  
Diversity Index ◽  
Species Abundance ◽  
Secondary Data ◽  
Environmental Parameters ◽  
Quality Parameters ◽  
Zooplankton Abundance ◽  
Blue Green Algae

The quality of reservoir waters depends on changes in their physical, chemical, and biological components. Changes in these parameters lead to the emerging of many problems in the reservoir, such as eutrophication and changes in the composition of the phytoplankton community in the reservoir ecosystem. This eutrophication impact can trigger an explosion of dangerous phytoplankton population, such as blue-green algae (Cyanobacteria). Research on the relationship between water quality and the community structure of Cyanobacteria has been carried out. This study used secondary data from the water monitoring report of the Cirata Reservoir from 2013-2017. This study aimed to obtain information on the community structure of Cyanobacteria and environmental parameters that affected the abundance of Cyanobacteria in the reservoir. Species abundance, diversity index, and dominance index were analyzed to determine changes in the community structure of Cyanobacteria in each of the years. Cyanobacteria abundances were classified using cluster analysis. Water quality parameters such as temperature, transparency, pH, carbon dioxide, nitrate, nitrite, and zooplankton abundance as independent variables, and levels of Cyanobacteria abundances as the dependent variable was analyzed using discriminant analysis. This study showed that the abundance of Cyanobacteria in the Cirata Reservoir is dominated by the Stanieria (a genus of the Pleurocapsales order) every year and the parameter that significantly affects the level of Cyanobacteria abundance was nitrate (NO3-N).

scholarly journals VARIABILITY OF REMOTE SENSING SPECTRAL INDICES IN BOREAL LAKE BASINS

2018 ◽  
Vol XLII-2 ◽  
pp. 411-417 ◽  
Author(s):  
T. Hakala ◽  
I. Pölönen ◽  
E. Honkavaara ◽  
R. Näsi ◽  
T. Hakala ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Dissolved Oxygen ◽  
Green Algae ◽  
Quality Parameters ◽  
Hyperspectral Data ◽  
Water Quality Parameters ◽  
Spectral Indices ◽  
Blue Green Algae ◽  
Measured Water

Remotely sensed hyperspectral data has widely been used to determine water quality parameters in oceanic waters. However in freshwater basins the dependence between the hyperspectral data and the parameters is more complicated. In this work some ideas are presented concerning the study of this dependence. The data used in this study were collected from the lake Hiidenvesi in southern Finland. The hyperspectral data consists of reflectances in 36 bands in the wavelength area 508…878 nm and the separately measured water quality parameters are turbidity, blue-green algae, chlorophyll, pH and dissolved oxygen. Hyperspectral data was used as bare band reflectances, but also in the form of two simple spectral indices: ratio A / B and difference A − B, where A and B go through all the bands. The correlations of the indices with the parameters were presented visually as 1- or 2-dimensional arrays. To examine the significance on the results of different variables, the data was classified in two different ways: the natural basins and the values of the water quality parameters. It was noticed that the variability of the correlation arrays was particularly strong among different basins in both the magnitude of correlation and the best performing indices. Further studies are needed to clarify which features of the basins are of most importance in predicting the shapes of the correlation arrays.

Using historical data to identify future water quality trends at a regional scale

2020 ◽  
Author(s):  
Anna Lintern ◽  
Natalie Kho ◽  
Danlu Guo ◽  
Shuci Liu ◽  
Clement Duvert
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
River Water ◽  
Historical Data ◽  
River Water Quality ◽  
Quality Deterioration ◽  
Droughts And Floods ◽  
Extreme Hydrological Events ◽  
Water Quality Trends ◽  
Water Quality Deterioration

<p>Using historical data to identify future water quality trends</p><ol><li>Lintern</li> <li>Kho</li> <li>Guo</li> <li>Liu</li> <li>Duvert</li> </ol><p> </p><p>Climate change is expected to have a severe impact on water resources management in Australia. This is expected to lead to increasing frequency in extreme hydrological events such as droughts and floods, which will in turn contribute to higher risks of bushfires, fish kills, and water shortage for both humans and the environment. The potential impacts of these climate-change-induced extreme events on the quantity of water available to humans and the environment are relatively well understood. However, we have little understanding of the effect on the water quality of Australian rivers. This project aims to start filling this gap in our understanding.</p><p>Our key objectives are:</p><p>(1) to identify how extreme hydrological events such as droughts and floods have affected river water quality over the last two decades, and explore how spatially variable these impacts have been across the Australian continent.</p><p>(2) to use these past observations as a basis to predict how river water quality will be affected by climate change across the continent, and identify the locations within Australia that will be most vulnerable to water quality deterioration in the near future.</p><p>There is a wealth of historical water quality data for each state in Australia, but these datasets have not yet been investigated systematically to develop a nation-wide understanding of water quality patterns. We believe that only a continental-scale understanding of the response of river water quality to extreme hydrological events will allow for the development of robust predictive models of climate change impacts on water quality. Knowing the potential hotspots for future water quality deterioration will be a key step towards identifying priorities for catchment planning and management.</p><p>In this poster, we will present the preliminary findings of this project by detailing the spatial variability in the impact of hydrological events on water quality across the state of Victoria in South-East Australia.</p>

scholarly journals Using of Index Biological Integrity of Phytoplankton (P-IBI) in the Assessment of Water Quality in Don River Section

2021 ◽  
Vol 18 (1) ◽  
pp. 0087
Author(s):  
E.N Bakaeva ◽  
Murooj Abbas Buhlool Al-Ghizzi ◽  
Zahraa Aljanabi
Keyword(s):  
Water Quality ◽  
Green Algae ◽  
Poor Quality ◽  
Total Biomass ◽  
Biological Integrity ◽  
Index Of Biological Integrity ◽  
Entire Study ◽  
Blue Green Algae ◽  
Don River ◽  
The Impact

       The multimetric Phytoplankton Index of Biological Integrity (P-IBI) was applied throughout Rostov on Don city (Russia) on 8 Locations in Don River from April – October 2019. The P-IBI is composed from seven metrics: Species Richness Index (SRI), Density of Phytoplankton and total biomass of phytoplankton and Relative Abundance (RA) for blue-green Algae, Green Algae, Bacillariophyceae and Euglenaphyceae Algae. The average P-IBI values fell within the range of (45.09-52.4). Therefore, water throughout the entire study area was characterized by the equally "poor" quality. Negative points of anthropogenic impact detected at the stations are: Above the city of Rostov-on-Don (1 km, higher duct Aksai) was 38.57 in June, the lower inflow of the Temernik river  which was 38.57- 41.42 in summer and below the spillway was 38.57 -34.28 in August. At these stations, samples with P-IBI values more than 56, characterizing water quality as "Fair", were not found in any of the observations. The negative effect on the water at the stations may be due to the influence of the closely located Aksai city and the impact of the Temernik River. In Russia P-IBI have not been used yet, so this study can be considered as the first study that’s conducted to assess the environmental status of the Don River by using the phytoplankton index of Biological Integrity and has developed scoring criteria of the Don River (P-IBI) and other watercourses of the south of Russia. The continuous monitoring relaying on the selection of the most suitable metrics score is recommended.

scholarly journals Impact of water quality on the phytoplankton abundance of Paniyala fish pond in Roorkee, District Haridwar, Uttarakhand

2013 ◽  
Vol 14 (3) ◽  
pp. 29-32
Author(s):  
D.R. Khanna ◽  
Rajni Rana ◽  
Fouzia Ishaq
Keyword(s):  
Water Quality ◽  
Green Algae ◽  
Fish Fauna ◽  
Oxygen Demand ◽  
Total Alkalinity ◽  
Fish Pond ◽  
Phytoplankton Abundance ◽  
Temperature Conductivity ◽  
Blue Green Algae ◽  
Wide Range

The phytoplankton shows an ability to tolerate a wide range of environmental conditions. Under natural condition, they usually grow in the mixed community which may include many species and genera. The phytoplankton abundance and their impact on the water quality were studied in Paniyala fish pond, located in Roorkee Uttarakhand. Samples were collected monthly from March 2007 to February 2008 at four stations early in the morning. Physico-chemical parameters like temperature, conductivity, turbidity, pH, dissolved oxygen (DO), biological oxygen demand (BOD), total alkalinity and chloride were measured simultaneously. Monthly variations were quite evident and showed maximum phytoplankton abundance in the month of January (3631.75 Unit/l). Three divisions of phytoplankton were found which include diatoms, green algae and blue green algae. The greatest number of individuals was reported in diatoms (1610.0±909.97 Unit/l) followed by green algae (178.29±109.02 Unit/l) and blue green algae (38.42±24.13 Unit/l). Effects of eutrophication were evident from this study with increased biomass of phytoplankton and water quality was deteriorated to some extent resulting in threat to fish fauna in it.

Freeze-Fracture Replication in the Ultrastructure of Blue-Green Algae

1967 ◽  
Vol 25 ◽  
pp. 74-75
Author(s):  
L. V. Leak
Keyword(s):  
Cell Wall ◽  
Electron Microscope ◽  
Green Algae ◽  
Three Dimensional ◽  
Freeze Fracture ◽  
Electron Microscopic ◽  
Photosynthetic Membranes ◽  
Blue Green Algae ◽  
Cell Biol ◽  
Cellular Components

Electron microscopic observations of freeze-fracture replicas of Anabaena cells obtained by the procedures described by Bullivant and Ames (J. Cell Biol., 1966) indicate that the frozen cells are fractured in many different planes. This fracturing or cleaving along various planes allows one to gain a three dimensional relation of the cellular components as a result of such a manipulation. When replicas that are obtained by the freeze-fracture method are observed in the electron microscope, cross fractures of the cell wall and membranes that comprise the photosynthetic lamellae are apparent as demonstrated in Figures 1 & 2.A large portion of the Anabaena cell is composed of undulating layers of cytoplasm that are bounded by unit membranes that comprise the photosynthetic membranes. The adjoining layers of cytoplasm are closely apposed to each other to form the photosynthetic lamellae. Occassionally the adjacent layers of cytoplasm are separated by an interspace that may vary in widths of up to several 100 mu to form intralamellar vesicles.

Sign in / Sign up

Export Citation Format

Share Document