scholarly journals Space–time analysis of the hydrochemical composition and pollution of water in the Northern Dvina basin

2019 ◽  
Vol 46 (2) ◽  
pp. 149-160
Author(s):  
R. G. Dzhamalov ◽  
A. A. Mironenko ◽  
K. G. Myagkova ◽  
O. S. Reshetnyak ◽  
T. I. Safronova
Keyword(s):  
Water Quality ◽  
Maximum Permissible Concentration ◽  
Petroleum Products ◽  
Organic Substances ◽  
Time Analysis ◽  
Iron Compounds ◽  
Zinc Compounds ◽  
Northern Dvina Basin ◽  
Hydrochemical Composition

The dynamics of water quality along the Northern Dvina River is considered within the context of anthropogenic impact. In general, the waters of the river are characterized as very polluted. Cases of high and extremely high levels of water pollution in various locations have been considered. Organic substances, iron compounds, copper, and zinc are relatively common pollutants. Long-term average volumes of inflow of certain pollutants along the length of the river exceed the maximum permissible concentration by 2 to 5 times. A tendency toward slightly improved water quality downstream with decreasing amounts of petroleum products and zinc compounds was revealed also.

scholarly journals Pollution and biodiversity: a case study of the Argun River Basin

2021 ◽  
Vol 895 (1) ◽  
pp. 012017
Author(s):  
A P Kuklin ◽  
G Ts Tsybekmitova
Keyword(s):  
Water Quality ◽  
Toxic Elements ◽  
Drainage Basin ◽  
Ecological Impact ◽  
Water Quality Assessment ◽  
Hydrochemical Composition ◽  
Water Ecosystems

Abstract We analyzed the studies on the hydrochemical composition in the Argun basin and evaluated the level of pollution. We found that the water of the Argun River was contaminated by organic substances and toxic elements. We distinguished 9 major types of the ecosystems based on the prior findings. The prevalent species of Cladophora fracta was chosen as an indicator for the monitoring of the Argun drainage basin pollution by toxic elements. The concentrations of toxic elements in algae remained unchanged for a long term and they appeared to be more informative for the assessment of pollution than the rapidly changing water quality. It is necessary to determine indicator hydrobionts for each type of the ecosystems within such a vast territory as the Argun basin. Our findings showed that current mining production produces a negative ecological impact on the quality of the water ecosystems which should be considered during further developments. It is necessary to conduct a research on the regional background concentrations for toxic elements in water and hydrobionts, and to enlarge the list of indicator hydrobionts for water quality assessment.

scholarly journals TRENDS IN THE VARIABILITY OF THE CHEMICAL COMPOSITION AND WATER POLLUTION LEVEL IN THE KUBAN RIVER

2021 ◽  
Vol 26 (1) ◽  
pp. 30-40
Author(s):  
O. S. Reshetnyak ◽  
◽  
R. S. Komarov ◽  
◽  
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Chemical Composition ◽  
River Water ◽  
Petroleum Products ◽  
Pollution Level ◽  
Organic Substances ◽  
Quality Class ◽  
Number Of Components ◽  
Kuban River

Introduction. The paper explores the long-term spatial and temporal variability of the chemical composition and water quality in the Kuban River. Methods. To study the variability of the chemical composition of river water, we analyzed data from systematic observations over the concentrations of major ions, biogenic and organic substances, petroleum products and heavy metals from 2010 to 2017. To describe the variability of water quality, we used such indicators as water quality class, water pollution level, and characteristic pollutants. Results. It is shown that the spatial change in the chemical composition is uneven — a number of components in the water have low concentrations in the upper reaches, increasing in the lower part of the river. Others are characterized by high concentrations in the middle reaches, followed by a decrease towards the mouth. Over time, the change in the concentrations of chlorides, sulfates, organic substances and petroleum products increases. As for the content of nitrates, a slight decrease was detected in its variability. For the remaining chemicals, there were no clear trends. We established that in most cases the water in the Kuban River can be classified as polluted and very polluted (water quality class 3). We also found that the nature of river water pollution regarding a number of components is stable. Conclusion. In modern conditions of sharp climate changes and anthropogenic impact, the identified features of the chemical composition and trends in water quality variability of the Kuban River are of great practical importance and can be used in the development of environmentally sound recommendations for improving water quality and the state of water ecosystems in the river basin.

Long-term Dynamics of the River Water Quality in the Northern Dvina Basin (Northwestern Russia)

2018 ◽  
Vol 45 (S2) ◽  
pp. 93-98
Author(s):  
O. S. Reshetnyak ◽  
V. N. Reshetnyak ◽  
K. G. Vlasov ◽  
K. G. Myagkova
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Water Quality ◽  
Northern Dvina Basin ◽  
Northwestern Russia

Space–Time Analysis of Hydrochemical Composition and Pollution of Water in the Northern Dvina Basin

2019 ◽  
Vol 46 (2) ◽  
pp. 188-198
Author(s):  
R. G. Dzhamalov ◽  
A. A. Mironenko ◽  
K. G. Myagkova ◽  
O. S. Reshetnyak ◽  
T. I. Safronova
Keyword(s):  
Space Time ◽  
Time Analysis ◽  
Northern Dvina Basin ◽  
Hydrochemical Composition

Modelling the Effects of Acid Deposition: Estimation of Long-Term Water Quality Responses in Forested Catchments in Finland

1988 ◽  
Vol 19 (2) ◽  
pp. 99-120 ◽  
Author(s):  
A. Lepistö ◽  
P. G. Whitehead ◽  
C. Neal ◽  
B. J. Cosby
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Base Cations ◽  
Surface Water Quality ◽  
Mineral Weathering ◽  
Co2 Solubility ◽  
Forested Catchments ◽  
Deposition Rates ◽  
Magic Model

A modelling study has been undertaken to investigate long-term changes in surface water quality in two contrasting forested catchments; Yli-Knuutila, with high concentrations of base cations and sulphate, in southern Finland; and organically rich, acid Liuhapuro in eastern Finland. The MAGIC model is based on the assumption that certain chemical processes (anion retention, cation exchange, primary mineral weathering, aluminium dissolution and CO2 solubility) in catchment soils are likely keys to the responses of surface water quality to acidic deposition. The model was applied for the first time to an organically rich catchment with high quantities of humic substances. The historical reconstruction of water quality at Yli-Knuutila indicates that the catchment surface waters have lost about 90 μeq l−1 of alkalinity in 140 years, which is about 60% of their preacidification alkalinity. The model reproduces the declining pH levels of recent decades as indicated by paleoecological analysis. Stream acidity trends are investigated assuming two scenarios for future deposition. Assuming deposition rates are maintained in the future at 1984 levels, the model indicates that stream pH is likely to continue to decline below presently measured levels. A 50% reduction in deposition rates would likely result in an increase in pH and alkalinity of the stream, although not to estimated preacidification levels. Because of the high load of organic acids to the Liuhapuro stream it has been acid before atmospheric pollution; a decline of 0.2 pH-units was estimated with increasing leaching of base cations from the soil despite the partial pH buffering of the system by organic compounds.

Long Term Monitoring of the Macrobenthos of the Upper Clyde Estuary

1984 ◽  
Vol 16 (5-7) ◽  
pp. 359-373 ◽  
Author(s):  
Anne R Henderson
Keyword(s):  
Water Quality ◽  
Seasonal Variation ◽  
Organic Pollution ◽  
Long Term Changes ◽  
Pollution Loading ◽  
Faunal Density ◽  
History Of ◽  
Long Term Monitoring ◽  
Term Monitoring

The sublittoral macrobenthic invertebrate populations of the Upper Clyde Estuary are described. The estuary has a long history of organic pollution. The long term changes in species composition, faunal density and dominance patterns between 1974 and 1980 are presented. The fauna is dominated by brackish, pollution tolerant oligochaetes and polychaetes. Fluctuations in populations can be related to both seasonal variation in environmental conditions and long term improvements in water quality through a reduction in pollution loading to the estuary.

Investigation of a New Approach to Predict Water Quality Extremes with a Case Study of Chemical Determinands in Stream Water

1991 ◽  
Vol 24 (6) ◽  
pp. 25-33
Author(s):  
A. J. Jakeman ◽  
P. G. Whitehead ◽  
A. Robson ◽  
J. A. Taylor ◽  
J. Bai
Keyword(s):  
Water Quality ◽  
Stream Water ◽  
Probability Distributions ◽  
Management Strategies ◽  
Hybrid Modelling ◽  
Trend Model ◽  
Environmental Extremes ◽  
Modelling Approach

The paper illustrates analysis of the assumptions of the statistical component of a hybrid modelling approach for predicting environmental extremes. This shows how to assess the applicability of the approach to water quality problems. The analysis involves data on stream acidity from the Birkenes catchment in Norway. The modelling approach is hybrid in that it uses: (1) a deterministic or process-based description to simulate (non-stationary) long term trend values of environmental variables, and (2) probability distributions which are superimposed on the trend values to characterise the frequency of shorter term concentrations. This permits assessment of management strategies and of sensitivity to climate variables by adjusting the values of major forcing variables in the trend model. Knowledge of the variability about the trend is provided by: (a) identification of an appropriate parametric form of the probability density function (pdf) of the environmental attribute (e.g. stream acidity variables) whose extremes are of interest, and (b) estimation of pdf parameters using the output of the trend model.

LONG-TERM WILDFIRE-RELATED CHEMICAL IMPACTS ON WATER QUALITY WITHIN THE MALIBU CREEK COASTAL WATERSHED

2020 ◽  
Author(s):  
Christian L. Hoover ◽  
◽  
Kyle H. Ikeda ◽  
Erin E. Schmitt ◽  
Michael F. Kushner ◽  
...  
Keyword(s):  
Water Quality ◽  
Coastal Watershed

Multivariate analysis of long term water quality changes of shallow Lake Balaton

2006 ◽  
Vol 29 (4) ◽  
pp. 2051-2055 ◽  
Author(s):  
G. Kiss ◽  
Gy. Dévai ◽  
B. Tóthmérész ◽  
A. Szabó
Keyword(s):  
Water Quality ◽  
Multivariate Analysis ◽  
Shallow Lake ◽  
Lake Balaton ◽  
Quality Changes

Oil pollution and fisheries

1982 ◽  
Vol 297 (1087) ◽  
pp. 401-411 ◽  
Keyword(s):  
Water Quality ◽  
Adverse Effects ◽  
Oil Pollution ◽  
Coastal Areas ◽  
Short Term ◽  
Fish Stocks ◽  
Local Impacts ◽  
Reduced Water ◽  
Long Term Adverse Effects

The term ‘pollution’ is taken in its broadest sense and effects are recognized to be due to interference, tainting and toxicity. Each of these types of impact is discussed and assessed. It is concluded that no long-term adverse effects on fish stocks can be attributed to oil but that local impacts can be extremely damaging in the short term and that produce from specific localities can be tainted and unmarketable for long periods. In some coastal areas oil can be one among several contributors to reduced water quality, and the implications of this are discussed.

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