scholarly journals Genotoxicity and Mutagenicity of Suspended Particulate Matter of River Water and Waste Water Samples

2002 ◽  
Vol 2 ◽  
pp. 1036-1039 ◽  
Author(s):  
Georg Reifferscheid ◽  
Britta v. Oepen
Keyword(s):  
Waste Water ◽  
Particulate Matter ◽  
Liquid Phase ◽  
River Water ◽  
Suspended Particulate Matter ◽  
Water Samples ◽  
Solid Phase ◽  
Waste Water Treatment ◽  
Water Treatment Plants ◽  
Suspended Particulate

Suspended particulate matter of samples of river water and waste water treatment plants was tested for genotoxicity and mutagenicity using the standardized umu assay and two versions of the Ames microsuspension assay. The study tries to determine the entire DNA-damaging potential of the water samples and the distribution of DNA-damaging substances among the liquid phase and solid phase. Responsiveness and sensitivity of the bioassays are compared.

Coliphages and enteric viruses in the particulate phase of river water

1988 ◽  
Vol 34 (7) ◽  
pp. 907-910 ◽  
Author(s):  
Pierre Payment ◽  
Eric Morin ◽  
Michel Trudel
Keyword(s):  
Particulate Matter ◽  
Water Treatment ◽  
River Water ◽  
Suspended Particulate Matter ◽  
Natural Waters ◽  
Enteric Viruses ◽  
Particulate Phase ◽  
Water Treatment Plants ◽  
Suspended Particulate ◽  
Viral Adsorption

The present study was undertaken to determine if indigenous enteric viruses and coliphages are free or associated with suspended particulate matter in natural waters. River water was filtered on filters of decreasing porosities (100–0.25 μm) that were pretreated with detergent to eliminate viral adsorption while retaining particulates. This filtered water was refiltered in virus-adsorbing conditions to retain free viruses. The virus-adsorbing filter retained most of the enteric viruses (77.4%) and coliphages (65.8%), which indicated that these viruses were probably free or associated with particles with a diameter of less than 0.25 μm. These observations are important because in water treatment plants small particulates are often the most difficult to eliminate.

scholarly journals Uncertainties in selected river water quality data

2007 ◽  
Vol 11 (2) ◽  
pp. 863-874 ◽  
Author(s):  
M. Rode ◽  
U. Suhr
Keyword(s):  
Water Quality ◽  
Particulate Matter ◽  
River Water ◽  
Suspended Particulate Matter ◽  
River Water Quality ◽  
Quality Data ◽  
Sampling Location ◽  
Water Quality Data ◽  
Suspended Particulate

Abstract. Monitoring of surface waters is primarily done to detect the status and trends in water quality and to identify whether observed trends arise from natural or anthropogenic causes. Empirical quality of river water quality data is rarely certain and knowledge of their uncertainties is essential to assess the reliability of water quality models and their predictions. The objective of this paper is to assess the uncertainties in selected river water quality data, i.e. suspended sediment, nitrogen fraction, phosphorus fraction, heavy metals and biological compounds. The methodology used to structure the uncertainty is based on the empirical quality of data and the sources of uncertainty in data (van Loon et al., 2005). A literature review was carried out including additional experimental data of the Elbe river. All data of compounds associated with suspended particulate matter have considerable higher sampling uncertainties than soluble concentrations. This is due to high variability within the cross section of a given river. This variability is positively correlated with total suspended particulate matter concentrations. Sampling location has also considerable effect on the representativeness of a water sample. These sampling uncertainties are highly site specific. The estimation of uncertainty in sampling can only be achieved by taking at least a proportion of samples in duplicates. Compared to sampling uncertainties, measurement and analytical uncertainties are much lower. Instrument quality can be stated well suited for field and laboratory situations for all considered constituents. Analytical errors can contribute considerably to the overall uncertainty of river water quality data. Temporal autocorrelation of river water quality data is present but literature on general behaviour of water quality compounds is rare. For meso scale river catchments (500–3000 km2) reasonable yearly dissolved load calculations can be achieved using biweekly sample frequencies. For suspended sediments none of the methods investigated produced very reliable load estimates when weekly concentrations data were used. Uncertainties associated with loads estimates based on infrequent samples will decrease with increasing size of rivers.

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