1 / 18

Bo N. Jacobsen EEA

WISE TG meeting 3-4 September 2009 Copenhagen Topic 4 Some ideas for future developments of WISE content. Bo N. Jacobsen EEA. Observations from an almost ”new-comer”. Outlook for WISE should include a look at the: Interests and expectations from the users spatial and temporal dimensions

lefty
Download Presentation

Bo N. Jacobsen EEA

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. WISE TG meeting 3-4 September 2009CopenhagenTopic 4Some ideas for future developments of WISE content Bo N. Jacobsen EEA

  2. Observations from an almost ”new-comer” Outlook for WISE should include a look at the: • Interests and expectations from the users • spatial and temporal dimensions • Time scale of the topics • Data accuracy / uncertainty

  3. WISE users • Environmental regulators (incl. MS reporters) • Water utilities (incl. associations, consultants,..) • Industries (e-PRTR,..) • NGOs and media • The public Water professionals

  4. Current WISE services • Introductionary and explaining texts • Library • Articles, highlights, publications, multimedia • Maps • Maps and graphs, map viewer • Pre-designed statistics • data sets, waterbase, data viewer, indicators, • Calendar • Upcoming events • Data base downloads • data sets, EPER

  5. Some issues to improve: • Precise descriptive content definitions of metadata (reporting sheets, guidance documents) – not only IT formatting • Lowest common nominator sets ”speed of progress” • Lag time between reference period and documents / maps available

  6. Bathing water quality– versus the temporal dimension • Current Mapviewer is among the fastest reportings in WISE • however, showing compliance from previous year

  7. MapViewer – Bathing Water

  8. Bathing water quality– versus the temporal dimension • Current Mapviewer is among the fastest reportings in WISE • Data viewer provides pre-designed statistics: • for each station • for aggregated stations

  9. Data Viewer – Bathing Water

  10. Eye on Earth – updated on current year

  11. Bathing water quality– versus the temporal dimension • But bathing water infections are instantaneous • So for the public, only now- and forecasting is relevant • Existing now- and forecasting services (e.g.,Copenhagen harbour) http://www.vandudsigten.dk/KbhHavn/KbhHavn_Demo.asp?Type=0&dtmFrom=13/07/2009&dtmTo=14/07/2009

  12. Perspectives (opportunities)- ”for the times they are a’changing” User based interests (demand driven): • NGO and public interest in timely, targeted relevant and reliable environmental information – qualifying the debate • Water professional interest in easy and cheap (free) access to comprehensive data series by downloads • Any specific wishes from Member States ? Technology based advances (supply driven): • power of GIS tools (visualisation…) • blog-forum for the public user – to stimulate environmental debates ? • reach-out to both water professionals, NGOs and the public (web-based services…) • Data availability at both spatial and (especially) temporal resolution (near-realtime data…)

  13. The modern sewerage and WWTP systems of tomorrow (Source: SWI project) http://swi.er.dtu.dk/index.php?option=com_content&task=view&id=1&Itemid=2 Impact model Warning system Strategy optimisation Spatial rainfall nowcasting /forecasting Realtime setpoint control Realtime setpoint control SCADA system SCADA system Sensor PLC Communication Control håndle Monitoring

  14. Data accuracy:Calculation of overall data variance- simplified example • 3 WWTPs: • 500,000 PE, effluent 3000 + 300 t/y COD (10%) • 50,000 PE, effluent 300 + 75 t/y COD (25%) • 5,000 PE, estimate 50 + 25 t/y COD (50%) Overall variance: s2= 3002 + 752 + 252 = 96,250 Overall std. dev.: s = (96,250)½ = 310 • Aggregated result to be reported: total effluent: 3350 + 310 t/y COD

  15. Example – Lithuania: Total loads and data accuracy

  16. Perspectives (opportunities) Organisational based promotors: • Reporting obligations (INSPIRE…) • Willingness to share data (?) • Data streamlining in international reporting (Reportnet…)

  17. Perspectives (suggestions) • ”Pop-up” facilitated easy access to metadata content definitions • Stratified approach in Data Services enabling links to more extended services (national, regional, local,..) and potential near-online data for selected monitoring stations / emissions – enable WISE to include • Development of data management modules (statistically based data reduction, uniform load estimation methods,..) as a service to MS • Derive indicators (specific loads, energy/resource related efficiencies,..) • Enabling more downloads of data bases primarily for professional users • Establishing blog-forum for the public user – to stimulate environmental debates (resources ? who to look after it ?) • ”marketing” existing data-services to both the public and water professionals targetted different needs and understandings

  18. Thank you for your attention What do you think ?

More Related