A new generic approach for estimating the concentrations of down-the-drain chemicals at catchment and national scale.

A new generic approach for estimating chemical concentrations in rivers at catchment and national scales is presented. Domestic chemical loads in waste water are estimated using gridded population data. River flows are estimated by combining predicted runoff with topographically derived flow direction. Regional scale exposure is characterised by two summary statistics: PEC(works), the average concentration immediately downstream of emission points, and, PEC(area), the catchment-average chemical concentration. The method was applied to boron at national (England and Wales) and catchment (Aire-Calder) scales. Predicted concentrations were within 50% of measured mean values in the Aire-Calder catchment and in agreement with results from the GREAT-ER model. The concentration grids generated provide a picture of the spatial distribution of expected chemical concentrations at various scales, and can be used to identify areas of potentially high risk.

[1]  A. Gustard,et al.  A new approach to estimating Mean Flow in the UK , 2002 .

[2]  A. Gustard,et al.  Low Flow Estimation in the United Kingdom , 1992 .

[3]  C. Neal,et al.  Boron in the major UK rivers entering the North Sea , 1998 .

[4]  Sujatha Jahagirdar,et al.  Down the Drain , 2003 .

[5]  P A Vanrolleghem,et al.  New PEC definitions for river basins applicable to GIS-based environmental exposure assessment. , 2000, Chemosphere.

[6]  Holt,et al.  The use of measured boron concentration data from the GREAT-ER UK validation study (1996-1998) to generate predicted regional boron concentrations , 2000, The Science of the total environment.

[7]  H. Buckland,et al.  UK monitoring study on the removal of linear alkylbenzene sulphonate in trickling filter type sewage treatment plants. Contribution to GREAT-ER project # 2 , 1998 .

[8]  C. Schulze,et al.  Concentration of LAS and boron in the itter , 2002, Environmental science and pollution research international.

[9]  C. Neal,et al.  A summary of boron surface water quality data throughout the European Union. , 2003, The Science of the total environment.

[10]  T. Wind.  Prognosis of environmental concentrations by geo-referenced and generic models: a comparison of GREAT-ER and EUSES exposure simulations for some consumer-product ingredients in the Itter. , 2004, Chemosphere.

[11]  G Heinemeyer,et al.  European union system for the evaluation of substances: the second version. , 2005, Chemosphere.

[12]  J. Rominger,et al.  Modeling the fate of down-the-drain chemicals in rivers: An improved software for GREAT-ER , 2006, Environ. Model. Softw..

[13]  A global assessment of chemical effluent dilution capacities from a macro-scale hydrological model , 2006 .

[14]  V. Keller.  Risk assessment of "down-the-drain" chemicals: search for a suitable model. , 2006, The Science of the total environment.

[15]  Estimating population served by sewage treatment works from readily available GIS data. , 2006, The Science of the total environment.

[16]  D. Mackay,et al.  Mass balance modelling of contaminants in river basins: a flexible matrix approach. , 2005, Chemosphere.

[17]  Tom C. J. Feijtel,et al.  Development of a geography-referenced regional exposure assessment tool for European rivers - great-er contribution to great-er #1 , 1997 .