Monitoring programme revision highlights long-term salinity changes in selected South African rivers and the value of comprehensive long-term data sets

Niekerk, H. van; Silberbauer, Michael; Hohls, B. C.

doi:10.1007/s10661-008-0407-2

Cited by 9 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The salinity of the Vaal River system has been modelled to increase as a result of S and N deposition (for example: Taviv and Herold, 1989;Herold and Gorgens, 1991;Herold et al, 2001;Van Niekerk et al, 2009), and therefore it is surprising that DMS showed no significant changes in concentrations over the 17 years of this study. The results from the three statistical analyses performed suggest that the Vaal Dam catchment, although impacted by land use, e.g.…”

Section: Discussionmentioning

confidence: 79%

Using multivariate statistical analysis to assess changes in water chemistry in sections of the Vaal Dam catchment between 1991 and 2008

Bird

Scholes

2012

WSA

View full text Add to dashboard Cite

Multivariate statistical analysis was used to investigate changes in water chemistry at 5 river sites in the Vaal Dam catchment, draining the Highveld grasslands. These grasslands receive more than 8 kg sulphur (S) ha -1•year -1 and 6 kg nitrogen (N) ha -1•year -1 via atmospheric deposition. It was hypothesised that between 1991 and 2008 concentrations of dissolved mineral salts, sulphate, nitrate and ammonium would increase as a result of the S and N deposition received. Significant spatial differences were found, by analysis of covariance, between sites within the catchment. Canonical correspondence analysis (CCA) showed that the environmental variables used in the analysis, discharge and month of sampling, explained a small proportion of the total variance in the data set -less than 10% at each site. However, the total data set variance, explained by the 4 hypothetical axes generated by the CCA was >93% for all 5 sites. Sulphate, nitrate-plus-nitrite, ammonium and phosphate concentrations increased at 1 site each, between 1991 and 2008. Over the same time frame, acidneutralising capacity was decreased significantly at 1 of the 5 river sites. The concentrations of the ions analysed, with rare exception, were within the limits set by the national drinking water guidelines, between 1991 and 2008. Nitrogen and sulphur concentrations at the five selected river sites within the Vaal Dam catchment did not show a statistically significant increase between 1995 and 2008.

show abstract

Section: Discussionmentioning

confidence: 79%

Using multivariate statistical analysis to assess changes in water chemistry in sections of the Vaal Dam catchment between 1991 and 2008

Bird

Scholes

2012

WSA

View full text Add to dashboard Cite

show abstract

“…Population growth, increased economic activity and intensification of land use practices all lead to increased water demand, and an increasing degradation of the resource (Taylor et al, 2007a). At the present many water resources are polluted human activities contribute to salinity in surface waters include the discharge of municipal and industrial effluent; irrigation return water; urban storm-water runoff; surface mobilisation of pollutants from mining and industrial operations and seepage from waste disposal sites, mining and industrial operations (Van Niekerk et al, 2009). Biological indicators as organisms (or populations) whose occurrence reflects the environmental conditions (Kovacs, 1992) biological indicators (bioindicators) may be defined as particular species or communities, which, by their presence, provide information on the surrounding physical and/or chemical environment at a particular site.…”

Section: Introductionmentioning

confidence: 99%

Water quality assessment of Vasileva Lake based on diatoms influences by tourism, fishing and recreation

Ramshaj¹,

Fetoshi²,

Kurteshi³

et al. 2019

J. Surv. Fish. Sci.

View full text Add to dashboard Cite

Surface waters in recent years are under the great influence of industrial and anthropogenic factors. Vasileva Lake has been impacted by anthropogenic factors. It has been exploited by people for recreation, vacation and fishing, which exposed Vasileva Lake to occurrence of pollution. Purpose of this work was to evaluate the status of water quality in this artificial lake, using algae-diatoms as indicators of organic and inorganic pollution determination. In order to evaluate the status, the samples were taken in three different points in the spring season then analyzed and processed in the laboratory. Also OMNIDIA program is used for diatom counting, diatom inventories management, and diatom indices calculation for water quality assessment. According to the results 152 diatoms are found, they were distributed to 15 genuses. The water quality in the Vasileva Lake belongs the class II and III.

show abstract

“…The data are freely available in the form of userfriendly Excel spread sheets. We anticipate that the easy access of this dataset will be beneficial towards hydrogeochemical and environmental research in South Africa and will further enhance the South African National Chemical Monitoring Programme (e.g., Van Niekerk et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Technical note: An inorganic water chemistry dataset (1972–2011) of rivers, dams and lakes in South Africa

Huizenga¹,

Silberbauer²,

Dennis³

et al. 2013

WSA

View full text Add to dashboard Cite

A national dataset of inorganic chemical data of surface waters (rivers, lakes, and dams) in South Africa is presented and made freely available. The dataset comprises more than 500 000 complete water analyses from 1972 up to 2011, collected from more than 2 000 sample monitoring stations in South Africa. The dataset includes the major ion chemical composition and numerous calculated variables that can, amongst others, be used to determine accuracy of the analysis. The methods described here have potential for improving quality control measures in water chemistry laboratories by detecting anomalous samples. The processed data are available in Excel spreadsheets and can be downloaded from the website of the Centre for Water Science and Management based at the North-West University (www.waterscience.co.za/waterchemistry/data. html).

show abstract

Monitoring programme revision highlights long-term salinity changes in selected South African rivers and the value of comprehensive long-term data sets

Cited by 9 publications

References 0 publications

Using multivariate statistical analysis to assess changes in water chemistry in sections of the Vaal Dam catchment between 1991 and 2008

Using multivariate statistical analysis to assess changes in water chemistry in sections of the Vaal Dam catchment between 1991 and 2008

Water quality assessment of Vasileva Lake based on diatoms influences by tourism, fishing and recreation

Technical note: An inorganic water chemistry dataset (1972–2011) of rivers, dams and lakes in South Africa

Contact Info

Product

Resources

About