Concentration of LAS and boron in the Itter. Comparison of measured data with results obtained by simulation with the GREAT-ER software.
The GREAT-ER software was used to calculate linear alkylbenzene sulphonate [LAS] and boron concentrations in the Itter stream in North Rhine-Westfalia, Germany. The aim was to investigate the predictive strength of this newly developed tool and to compare its results to measured data. Substance-specific input data which were used in this scenario were partly generic (e.g. LAS and sodium perborate tetrahydrate consumption figures for Germany) and partly (site-)specific data (e.g. half-life time for LAS elimination). The comparison with the measured data reveals that the model predictions for LAS and boron are correct at least within a factor of two, only if generic German consumption data is applied. By using refined input data, the accuracy can be increased further.
Schröder
Frank Roland
FR
Institute of Environmental Systems Research, University of Osnabrück, Germany.
Schulze
Carsten
C
Matthies
Michael
M
D017738:Alkanesulfonic Acids / Q000032:analysis*; D001895:Boron / Q000032:analysis*; D004784:Environmental Monitoring / Q000379:methods / Q000592:standards*; D005618:Fresh Water; D005858:Germany; D006801:Humans; D008962:Models, Theoretical; D014874:Water Pollutants, Chemical / Q000032:analysis*
D017738:Alkanesulfonic Acids; D014874:Water Pollutants, Chemical; C030641:alkylbenzyl sulfonic acid; D001895:Boron