Evaluating the usefulness of dynamic pollutant fate models for implementing the EU Water Framework Directive.

The European Water Framework Directive (WFD) aims at achieving a good ecological and chemical status of surface waters in river basins by 2015. The chemical status is considered good if the Environmental Quality Standards (EQSs) are met for all substances listed on the priority list and eight additional specific emerging substances. To check compliance with these standards, the WFD requires the establishment of monitoring programmes. The minimum measuring frequency for priority substances is currently set at once per month. This can result in non-representative sampling and increased probability of misinterpretation of the surface water quality status. To assist in the classification of the water body, the combined use of monitoring data and pollutant fate models is recommended. More specifically, dynamic models are suggested, as possible exceedance of the quality standards can be predicted by such models. In the presented work, four realistic scenarios are designed and discussed to illustrate the usefulness of dynamic pollutant fate models for implementing the WFD. They comprise a combination of two priority substances and two rivers, representative for Western Europe.

[1]  Mehmet Yuceer,et al.  Simulation of river streams: Comparison of a new technique with QUAL2E , 2007, Math. Comput. Model..

[2]  C. Sonnenschein,et al.  p-Nonyl-phenol: an estrogenic xenobiotic released from "modified" polystyrene. , 1991, Environmental health perspectives.

[3]  M. Remberger,et al.  WFD Priority substances in sediments from Stockholm and the Svealand coastal region , 2003 .

[4]  J. Fawell,et al.  The Water Framework Directive and European water policy. , 2001, Ecotoxicology and environmental safety.

[5]  M. Öquist,et al.  Anaerobic Degradation of Nonylphenol Mono- and Diethoxylates in Digestor Sludge, Landfilled Municipal Solid Waste, and Landfilled Sludge , 1999 .

[6]  Y. Inoue,et al.  Aerobic and anaerobic biodegradation of phenol derivatives in various paddy soils. , 2006, The Science of the total environment.

[7]  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 .

[8]  B. Chang,et al.  Degradation of nonylphenol by anaerobic microorganisms from river sediment. , 2004, Chemosphere.

[9]  K. Henriksen,et al.  Degradation of 4-nonylphenol in homogeneous and nonhomogeneous mixtures of soil and sewage sludge. , 2001, Environmental science & technology.

[10]  B A Cox,et al.  A review of currently available in-stream water-quality models and their applicability for simulating dissolved oxygen in lowland rivers. , 2003, The Science of the total environment.

[11]  W. Giger,et al.  4-Nonylphenol in sewage sludge: accumulation of toxic metabolites from nonionic surfactants. , 1984, Science.

[12]  Mogens Henze,et al.  Activated sludge models ASM1, ASM2, ASM2d and ASM3 , 2015 .

[13]  P. Vanrolleghem,et al.  The dynamic water-sediment system: results from an intensive pesticide monitoring campaign. , 2007, Water science and technology : a journal of the International Association on Water Pollution Research.

[14]  Vos Jh,et al.  Options for emission control in European legislation in response to the requirements of the Water Framework Directive , 2005 .

[15]  W. Giger,et al.  Persistent organic chemicals in sewage effluents. 2. Quantitative determinations of nonylphenols and nonylphenol ethoxylates by glass capillary gas chromatography. , 1982, Environmental science & technology.

[16]  P Reichert,et al.  River Water Quality Model no. 1 (RWQM1): III. Biochemical submodel selection. , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.

[17]  L. B. Leopold,et al.  The hydraulic geometry of stream channels and some physiographic implications , 1953 .

[18]  A A Koelmans,et al.  Integrated modelling of eutrophication and organic contaminant fate & effects in aquatic ecosystems. A review. , 2001, Water research.

[19]  G. Byrns,et al.  The fate of xenobiotic organic compounds in wastewater treatment plants. , 2001, Water research.

[20]  D. Schlosser,et al.  Microbial degradation of nonylphenol and other alkylphenols—our evolving view , 2006, Applied Microbiology and Biotechnology.

[22]  H R Rogers,et al.  Sources, behaviour and fate of organic contaminants during sewage treatment and in sewage sludges. , 1996, The Science of the total environment.

[23]  W. Giger,et al.  Partitioning of alkylphenols and alkylphenol polyethoxylates between water and organic solvents , 1993 .

[24]  I. Abumoghli,et al.  Modelling nitrification in the river Zarka of Jordan , 1995 .

[25]  Rikken Mgj,et al.  European Union System for the Evaluation of Substances 2.0 (EUSES 2.0); background report , 2004 .

[26]  Peter A. Vanrolleghem,et al.  A geo-referenced aquatic exposure prediction methodology for ‘down-the-drain’ chemicals , 1997 .

[27]  Kevin C Jones,et al.  A dynamic level IV multimedia environmental model: Application to the fate of polychlorinated biphenyls in the United Kingdom over a 60‐year period , 2002, Environmental toxicology and chemistry.

[28]  P. Vanrolleghem,et al.  Dynamic in‐stream fate modeling of xenobiotic organic compounds: A case study of linear alkylbenzene sulfonates in the Lambro River, Italy , 2004, Environmental toxicology and chemistry.

[29]  P. Reichert,et al.  River Water Quality Modelling: II. Problems of the Art , 1998 .

[30]  I. Licskó,et al.  Implementation of the EU Water Framework Directive in monitoring of small water bodies in Hungary, I. Establishment of surveillance monitoring system for physical and chemical characteristics for small mountain watercourses , 2007 .

[31]  Peter A. Vanrolleghem,et al.  The water-sediment as a highly dynamic system: results of an intensive pesticide monitoring campaign , 2005 .

[32]  Eran Friedler,et al.  Characterising the quantity and quality of domestic wastewater inflows , 1995 .

[33]  H Blöch EU policy on nutrients emissions: legislation and implementation. , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.

[34]  J. Giddings,et al.  Effects analysis of time‐varying or repeated exposures in aquatic ecological risk assessment of agrochemicals , 2002, Environmental toxicology and chemistry.

[35]  B. Jefferson,et al.  Nonylphenol in the environment: a critical review on occurrence, fate, toxicity and treatment in wastewaters. , 2008, Environment international.

[36]  R. Schwarzenbach,et al.  Environmental Organic Chemistry , 1993 .

[37]  M. Comber,et al.  The effects of nonylphenol on Daphnia magna , 1993 .

[38]  Tolessa Deksissa Chuco Dynamic integrated modelling of basic water quality and fate and effect of organic contaminants in rivers / door Tolessa Deksissa Chuco , 2004 .

[39]  Eran Friedler,et al.  Quantifying the inherent uncertainty in the quantity and quality of domestic wastewater , 1996 .

[40]  P G Whitehead,et al.  Steady state and dynamic modelling of nitrogen in the River Kennet: impacts of land use change since the 1930s. , 2002, The Science of the total environment.

[41]  Ulf Jeppsson,et al.  Phenomenological modelling of wastewater treatment plant influent disturbance scenarios , 2005 .

[42]  J. Sumpter,et al.  Environmentally persistent alkylphenolic compounds are estrogenic. , 1994, Endocrinology.

[43]  Hydrologisch Informatiecentrum Hydrologisch jaarboek 2006 , 2007 .

[44]  G. Vallini,et al.  Biodegradation of nonionic surfactants. I. Biotransformation of 4-(1-nonyl)phenol by a Candida maltosa isolate. , 1995, Environmental pollution.

[45]  Z. Ujang,et al.  Environmental biotechnology: advancement in water and wastewater application in the tropics , 2004 .

[46]  Torben Larsen,et al.  Environmental quality standards in the EC-water framework directive: consequences for water pollution control for point sources , 2004 .