Land use and climate change as well as legal requirements (e.g. the EU Water Framework Directive) pose new challenges for the assessment and sustainable management of surface water quality at the catchment scale. Sources and pathways of nutrients and pollutants have to be characterized to understand and manage the impacts of their enrichment in river systems. Additionally, water quality assessment needs to cover the chemical and ecological status to link the hydrological view to aquatic ecology.
Models can help to optimize monitoring schemes. However, insufficient temporal and/or spatial resolutions, a short duration of observations or not harmonized analytical methods restrict the data base for model application. Moreover, model-based water quality calculations are affected by errors in input data, model errors, inappropriate model complexity and insufficient process knowledge or implementation. Therefore there is a strong need for advances in water quality models and to quantify and reduce uncertainties in water quality predictions. Additionally, models should be capable of representing changing land use and climate conditions, which is a prerequisite to meet the increasing needs for decision making.
This session aims to bring scientist together who work on experimental as well as on modelling studies to improve the prediction and management of water quality constituents (with the focus on nutrients, organic matter, algae or sediments) at the catchment scale. Contributions are welcome that cover the following issues:
- Experimental and modelling studies on the identification of sources, hot spots and pathways of nutrients and pollutants at the catchment scale
- New approaches to develop efficient water quality monitoring schemes
- Innovative monitoring strategies that support both process investigation and model performance
- Advanced modelling tools integrating catchment as well as in-stream processes
- Observational and modelling studies at catchment scale that relate and quantify water quality changes to changes in land use and climate
- Measurements and modelling of abiotic and biotic interaction and feedback involved in the transport and fate of nutrients and pollutants at the catchment scale
- Catchment management: pollution reduction measures, stakeholder involvement, scenario analysis for catchment management
HS2.3.2
Water quality at the catchment scale: measuring and modelling of nutrients, sediment and eutrophication impacts