How reporting WFD to EU supports public participation resulting in better water quality

Transkript

1 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

2 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: Average drainage area 500 km2 (now 10 km2) No hydrological network No classifications on water No measures compiled

3 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

4 WFD standards helps out! Define terms Fish QUANT_STAT Define structure Monitoring Protected areas

5 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

6 Water bodies Ground water Coast SGU: 3023 SMHI: Lakes SMHI: 7232 Rivers SMHI:

7 Monitoring Monitoring stations > ( reported)

8 Status classification Example: Ecological status

9 Pressure analysis Example: National models water flow and eutrophication

10 Measures Example: Planning of measures for a river WB

11 Protected areas Example: Bathing water

12 One of waterbodies Allgunnen

13 The same lake in Wikipedia

14 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

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16 Example Växjö municipality Webmapservice DSS

17 Example Tranås municipality Physical plan 2011

18 WISS used for agriculture advisory

19 Better measures through better reporting demands Definitions: measures intercalibration exercises? significant pressures Evolve Shared Environmental Information System Streamline reporting

20 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!

21 Thanks for listening!