Use of Models to Support the Monitoring Requirements in the Water Framework Directive

Implementation of the EU Water Framework Directive (WFD) poses many new challenges to European water managers. Monitoring programmes play a key role to assess the status and identify possible trends in the environmental conditions of river basins; to gain new knowledge on water processes and to assess to which extent implemented measures actually have the expected effects in terms of improving the environmental status. Despite a general acknowledgement in the scientific community on the benefits of using monitoring and modelling jointly, it has not been the common practise in the European monitoring programmes so far. Several obstacles may be identified which limits the joint use of monitoring and modelling, such as lack of the required skill, lack of time, lack of confidence in models but also a lack of awareness on how models can be used in practise. In this paper we provide examples on how modelling can support the monitoring programmes to meet the objectives of the monitoring programmes in the WFD more efficiently. The extent to which the monitoring requirements in the WFD can be expected to supply sufficient data for modelling purposes is further addressed. This question is, however, not well posed, as the data requirement for modelling is highly dependent on the required accuracy of the model results.

[1]  T C Feijtel,et al.  Monitoring, modelling and environmental exposure assessment of industrial chemicals in the aquatic environment. , 2000, Chemosphere.

[2]  Adrie J. M. Beulens,et al.  A methodology to support multidisciplinary model-based water management , 2007, Environ. Model. Softw..

[3]  Johan Valstar,et al.  A representer‐based inverse method for groundwater flow and transport applications , 2004 .

[4]  Ph Quevauviller Groundwater monitoring in the context of EU legislation: reality and integration needs. , 2005, Journal of environmental monitoring : JEM.

[5]  R W Battarbee,et al.  Detecting environmental change: science and society-perspectives on long-term research and monitoring in the 21st century. , 2003, The Science of the total environment.

[6]  Bernd Klauer,et al.  Harmonised techniques and representative river basin data for assessment and use of uncertainty information in integrated water management (HarmoniRiB) , 2005 .

[7]  Development of a Tool for Estimation of Pesticide Occurrence in Surface Water Under Danish Conditions , 2002 .

[8]  Patrick M. Reed,et al.  Striking the Balance: Long-Term Groundwater Monitoring Design for Conflicting Objectives , 2004 .

[9]  Jens Christian Refsgaard,et al.  Assessing the effect of land use change on catchment runoff by combined use of statistical tests and hydrological modelling: Case studies from Zimbabwe , 1998 .

[10]  Chris Ellegaard,et al.  Assessing Reference Conditions According to the European Water Framework Directive Using Modelling and Analysis of Historical Data: An Example from Randers Fjord, Denmark , 2003, Ambio.

[11]  Tuomo Saloranta,et al.  A conceptual framework for identifying the need and role of models in the implementation of the water framework directive , 2003 .

[12]  Peter Engesgaard,et al.  Pesticide transport in an aerobic aquifer with variable pH--modeling of a field scale injection experiment. , 2005, Journal of contaminant hydrology.

[13]  L. Troldborg,et al.  The influence of conceptual geological models on the simulation of flow and transport in Quaternary aquifer systems , 2004 .

[14]  Jens Christian Refsgaard,et al.  Methodology for construction, calibration and validation of a national hydrological model for Denmark , 2003 .

[15]  Ayalew Kassahun,et al.  Quality assurance in model based water management - review of existing practice and outline of new approaches , 2005, Environ. Model. Softw..

[16]  Olivier Barreteau,et al.  What kind of water models are needed for the implementation of the European water framework directive? Examples from France , 2003 .

[17]  Jens Christian Refsgaard,et al.  Modelling guidelinesterminology and guiding principles , 2004 .

[18]  J C Refsgaard,et al.  Model uncertainty--parameter uncertainty versus conceptual models. , 2005, Water science and technology : a journal of the International Association on Water Pollution Research.

[19]  Michael Batty,et al.  On Planning Processes , 1979 .