How reporting WFD to EU supports public participation resulting in better water quality Niklas Holmgren, strategist South Baltic Water Authority Linking Water Management and WFD objective 2013-06-14
Situation 2005 water data in Sweden 21 counties 21 data management systems for Monitoring data Data in text-files, paper and spreadsheets. Water bodies Ad Hoc data ground water Lakes, rivers and coastal water first draft done 1:250 000 Average drainage area 500 km2 (now 10 km2) No hydrological network No classifications on water No measures compiled
SMHI? SJV? LST? anlagda V å tmarker Milj ö st ö d Jordbruk SJV/LST Artportalen Artdata banken LOVA Eko - data LONA Eko - data NV V ä rdefulla Vatten NV Ö VISS MSB Vic Natur NV Nitrat - k ä nsliga Omr å den SJV Mussel vatten Lst O KUR SMP UTIS EU rapportering Distrikt/VF Milj ö reda Å P underlag HARO / VF KEMKoll EBH Eko - data? Internationella Rapporteringar SoE, HELCOM, OSPAR mm Prio damm Kling Milj ö boken Kalk Eko - data Å tg. i Vatten Eko - data Milj ö data Portalen NV SMHI Damm reg TFV VHI SMHI SVAR/SHARK Biotop kart TFV Salt db DGV SGU N ä rings ä mnes belastnings modeller Script som genererar automatklassningar p å VF à la Norge/Finland M Ö V meta data Bad platsen SMI SLU/FiV Artportalen mussel IVL SMHI SGU LST F ä rgf ö rklaring Underlags Å tg db M ä t data Skydd omr db Diffus F ö rsurnings Belastning MATCH SGU LMV kartdata kartdata Vattenf ö ring SMHI kommuner Version 20110608
WFD standards helps out! Define terms Fish QUANT_STAT Define structure Monitoring Protected areas
SMHI? SJV? LST? anlagda Våtmarker Miljöstöd Jordbruk SJV/LST Artportalen Artdata banken LOVA Eko-data LONA Eko-data NV Värdefulla Vatten NV ÖVISS MSB Vic Natur NV Nitratkänsliga Områden SJV Mussel vatten Lst O KUR SMP UTIS EU rapportering Distrikt/VF Miljöreda VISS ÅP underlag HARO / VF KEMKoll EBH Eko-data? Water Information Internationella Rapporteringar SoE, HELCOM, OSPAR mm Prio damm Kling Miljöboken SMHI Damm reg TFV VHI SMHI SVAR/SHARK Kalk Eko-data Åtg. i Vatten Eko-data Biotop kart TFV Salt db DGV SGU System Sweden WISS Bearbetning av data Näringsämnes Script som genererar belastnings automatklassningar modeller på VF à la Norge/Finland Miljödata Portalen NV MÖV meta data Bad platsen SMI SLU/FiV Artportalen mussel IVL SMHI SGU LST Färgförklaring Underlags Åtg db db Mät data Skydd omr Diffus Försurnings Belastning MATCH SGU LMV kartdata kartdata Vattenföring SMHI kommuner Version 20110608
Water bodies Ground water Coast SGU: 3023 SMHI: 622 26 440 Lakes SMHI: 7232 Rivers SMHI: 15 563
Monitoring Monitoring stations > 19 000 (15 383 reported)
Status classification Example: Ecological status
Pressure analysis Example: National models water flow and eutrophication
Measures Example: Planning of measures for a river WB
Protected areas Example: Bathing water
One of 26 440 waterbodies Allgunnen
The same lake in Wikipedia
1% of Swedish population visited WISS 2013 Users: General public Municipalities: Physical planning, decision support, supervision Consultants: Environmental Impact Assessments, Researchers and students. Officers at national and regional authorities handling permits, subsidies, environmental planning,.. NGO: Information used at risc for exploitations
Example Växjö municipality Webmapservice DSS
Example Tranås municipality Physical plan 2011
WISS used for agriculture advisory
Better measures through better reporting demands Definitions: measures intercalibration exercises? significant pressures Evolve Shared Environmental Information System Streamline reporting
What do we want to reach? Decision Support Systems including good visualisations A new and better Programme of Measures 2015 Reporting to EU Cooperation tools!
Thanks for listening! www.viss.lansstyrelsen.se niklas.holmgren@lansstyrelsen.se