Water quality modeling: from research tools to information systems for stakeholders and managers
Convener: Nicolas Flipo  | Co-Convener: Laurent Martin 
Oral Programme
 / Wed, 06 Apr, 10:30–12:00  / Room 39
Poster Programme
 / Attendance Wed, 06 Apr, 15:30–17:00  / Display Wed, 06 Apr, 08:00–19:30  / Hall A
Poster Summaries & DiscussionsPSD107 

The introduction by the European Union of the Water Framework Directive (WFD) has greatly modified the conditions of public water resources management and the relationships between managers, stakeholders and scientists.

From the one hand, understanding the hydrosystem’s behavior requires many scientific investigations which usually lead to model that integrate the understanding of physical, chemical and biological processes. Such models become more and more complex, as for instance coupled distributed physically-based models.

From the other hand, managers and stakeholders need more and more information or decision systems to allow them to anticipate, adapt or react in real time to perturbations as climate change or modifications of anthropogenic outflows or introduction of hydraulic works. They also need information systems that can help for designing a sampling or survey network either in space or in time depending on complex modeling results.

There is thus a common need for bridging the gap between scientists and stakeholders or managers, which can:
1. Help producing mathematical model more user-friendly
2. Allow for using complex tools without knowing all the fundamentals
3. Increase the knowledge of the end-user
4. Help citizens to better understand public decision
5. Integrate more easily new fundamental knowledge

This session focuses on studies of water quality modeling in different natural systems (basin, aquifer system, stream network, river stretch, lake, estuary, etc) with strong anthropogenic pressure. Paper focused on bridging the gap between scientists and stakeholders or managers by the mean of management tools or information systems derived from complex research modeling tools are particularly welcome.