Module 2: GIS and data CCM version2, and other necessary data layer (JRC) Positioning of EIONET-water sites within the geometry of the catchment areas.

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Presentation transcript:

Module 2: GIS and data CCM version2, and other necessary data layer (JRC) Positioning of EIONET-water sites within the geometry of the catchment areas given by the Catchment Data Base (CCM), Post-processing CCM2, improving data model, refining geometry (Nuts 3,4 disaggregation of statistical data,lakes, dams etc.)....

Linkages between Agriculture and Water Quality Overview on further work and collaboration Beate Werner, EEA

Water quality UWWIndustry WFD + Nitrate Dir, Bathing-, Drinking Water Dir. CAP, Market organisation, Rural development Links in implementation - Policy integration Agricultural Management impact of land use management How to achieve quality ? Policies background -Nutrients and water quality EU-scale Integrated assessments

RBM and EU-level SOE assessment WFD, N-Dir national implementation MS - Reports e.g. Art 5 – RBM Collected on EU-level  Scattered picture limited comparability SoE assessment on EU-level,  aggregated, comparable data EU-wide picture ? Limited reliability on catchment scale Member States - EU

4 Modules for agri-water assesments I – preparatory phase - source apportionment study - structured overview on methodologies - expert meeting Background document III – modelling; EEA/JRC empirical spatial assessment water quality and pressures; modelling cause-effect relationship incl. Soil, climate, and land management II – Spatial Data.. preparation.. ELISA at JRC providing common tools  Catchment DB with EIONET – water data IV scenario analysis implementations for policy cycle; development CAP, RDPs etc  Scoping Study

Envisaged Results Assessment on agricultural contribution to water eutrophication on catchment basis including individual shares of selected agricultural sectors /activities and their spatial distribution. Analysis on how and where changes in land use practises would influence the water quality in the basin. – This could be focused on catchments in “problem areas” identified above. Input into prospective analysis of effects of different agricultural scenarios

Link to other partners and acticities Linkages Agriculture Water at EEA Data/ Activity from IRENA Agri/Env JRC; Agri-stat EUROSTAT Data/ Activity from research projects Data from Implementation WFD Art 5; N-DIR, CAP, RDP

Module 3: methodologies for source apportionment Statistical source apportionment JRC Agri-water relationships with stratification techniques Proxi-pressure estimation with nutrient surface balances Any other on the market

Pressure/Impact Assessment Pressure assessment -nutrien surface balances on EU-level -Water quality indicators -Small scale modelling Water quality assessment -Statistics on monitoring data, stratification -Water accounts (EU and catchment level) Cause – effect relat. - Validated Correlations on quality/ pressures - statistical approaches on source apportionment at EEA/JRC - Small and medium scale modelling in FATE, (SWAT modelling) - Others (Euroharp?) Methodologies available on EU or catchment scale respectively or transferable What is needed/ useful on EU scale? How to use case studies; validation? Comple- mentary approaches? Data limitations?