scholarly journals Assessment of Water Quality and Ecosystem Health from the Ecological Paradigm Position

2017 ◽  
Author(s):  
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Ecosystem Health ◽  
Methodological Approach ◽  
Aquatic Organisms ◽  
Water Quality Assessment ◽  
Physiological Status ◽  
Chemical Information ◽  
Ecological Paradigm ◽  
The Impact

Methodological approach to the water quality and ecosystem health from the ecological paradigm position has been vindicated. Critical analysis of the currently existing methods of water quality assessment has been performed. It has been shown that biological criteria of the ecosystems’ status diagnostics (in-situ) based on studying of laws of aquatic organisms and communities organization levels variability adequately reflect water quality and ecosystem health. New methodical solutions on hydro/chemical information compression to the unified indicator of the impact doze and vindication of informative biological water quality assessment criteria are depicted. Results of practical testing of the developed methods on a number of water bodies of Russia are presented. The methods are based on revealing of the cause-effect relations that are developed on the basis of doze-effect dependencies between the water quality chemical composition integral indicator and fish physiological status indicators.

scholarly journals Dynamics of Water Quality of the Tsimlyansk Reservoir over the 1979-2014 Period.

2016 ◽  
pp. 74
Author(s):  
Keyword(s):  
Water Quality ◽  
Aquatic Organisms ◽  
Water Quality Assessment ◽  
Ammonia Nitrogen ◽  
Biogenic Elements ◽  
Chemical Information ◽  
Organic Substances ◽  
Reservoir Water ◽  
Tsimlyansk Reservoir ◽  
Vital Functions

Analysis of many-year hydro/chemical information of the Rosgidroment state observation network that enables to assess the changes in the pollutants typical for the Tsimlyansk reservoir over the 1979–2014 period has been carried on the basis of a single methodological/methodical framework. The easily oxidizable organic substances dynamics (by BOD5) and organic substances (by COD), as well as changing of many-year season concentrations of ammonia nitrogen, nitrite nitrogen and nitrate nitrogen and phosphates has been studied as they are the most active substances contributing to aquatic organisms vital functions in view of the cyanobacteriae-caused “blooming” typical for the Tsimlyansk reservoir. These biogenic elements’ concentration in water mostly depends on activity of the biological processes occurring within water bodies. It has been demonstrated that seasonal variations are characteristic for the organic matter, nitrogen and phosphorous mineral forms content in the Tsimlyansk reservoir water, and increase in their content can promote its euthrophication.Comparison of the observed data with the maximal permissible concentration values were used for the water quality assessment. An integrated assessment of the Tsimlyansk reservoir water quality dynamics has been accomplished at the most human affected ranges. Some trends of the Tsimlyansk reservoir monitoring system improvement in the conditions of the complicated hydrological situation caused by the 2010-2014 low-water period in the Don basin have been outlined: in particular, joint functioning of hydro/chemical and hydro/biological observation stations with hydrological stations. Bearing in mind that the in-reservoir processes of chemical substances transformation and redistribution are critical for the reservoir aquatic ecosystem functioning and sustainability it is very important to study exchange processes within the water-bottom sediments system.

A methodological approach to water quality assessment in an ungauged basin, Buenos Aires, Argentina

GeoJournal ◽  
2007 ◽  
Vol 70 (4) ◽  
pp. 281-288 ◽  
Author(s):  
Silvana Arreghini ◽  
Laura de Cabo ◽  
Rafael Seoane ◽  
Nicolás Tomazin ◽  
Roberto Serafini ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Buenos Aires ◽  
Methodological Approach ◽  
Water Quality Assessment ◽  
Ungauged Basin

scholarly journals Treatability influence of municipal sewage effluent on surface water quality assessment based on Nemerow pollution index using an artificial neural network

2021 ◽  
Vol 877 (1) ◽  
pp. 012008
Author(s):  
R Mohammed ◽  
B Al-Obaidi
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Artificial Neural Network ◽  
Quality Assessment ◽  
Oxygen Demand ◽  
Pollution Index ◽  
Water Quality Assessment ◽  
Artificial Neural ◽  
The Impact

Abstract Assessing water quality provides a scientific foundation for the development and management of water resources. The objective of the research is to evaluate the impact treated effluent from North Rustumiyia wastewater treatment plant (WWTP) on the quality of Diyala river. The model of the artificial neural network (ANN) and factor analysis (FA) based on Nemerow pollution index (NPI). To define important water quality parameters for North Al-Rustumiyia for the line(F2), the Nemerow Pollution Index was introduced. The most important parameters of assessment of water variation quality of wastewater were the parameter used in the model: biochemical oxygen demand (BOD), chemical oxygen demand (COD), suspension solids (SS), chloride, cl, hydrogen ion concentration, pH, sulfate, SO4-2, nitrate, NO3- and phosphate, PO4-3. Taking these criteria into account, samples of water from the sampling sites were graded as C, indicating the pollutant of the waste treatment. Then the water quality map using neural network model was based on the results of water quality assessment. The results showed that the model North Al-Rustumiyia for line F2 was more efficient and R2 was 0.965 with the impotence parameter was chloride (CL).

Surface Water Quality Assessment. Case Study: Târnava Mare River, Mediaș Town-Romania

2011 ◽  
Vol 4 (5) ◽  
pp. 70-72
Author(s):  
Cristina Roşu ◽  
◽  
Ioana Piştea ◽  
Carmen Roba ◽  
Mihaela Mihu ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Assessment ◽  
Surface Water Quality ◽  
Water Quality Assessment
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