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1 Streamlining EEA – ESTAT state-of-the-play with focus on potential for sharing data with utility organisations aiming at streamlining UWWTD – JQ-IW and.

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Presentation on theme: "1 Streamlining EEA – ESTAT state-of-the-play with focus on potential for sharing data with utility organisations aiming at streamlining UWWTD – JQ-IW and."— Presentation transcript:

1 1 Streamlining EEA – ESTAT state-of-the-play with focus on potential for sharing data with utility organisations aiming at streamlining UWWTD – JQ-IW and improving performance indicators Bo N. Jacobsen EEA WISE TG meeting 07-08 June 2010, Madrid

2 2

3 3 Data streamlining within WISE - examples Sum National database EEA Eurostat JQ-IW

4 4 Overview – state-of-the-play Streamlining attempts ongoing for SoE emissions SoE (Eionet) request designed with high alignment with JQ-IW Emission WaterBase made available by 22 march 2010Emission WaterBase SoE Water Quantity UWWTD Ref. To ETC-W presentation WISE TG Stockholm UWWTD WaterBase made available by 22 march 2010UWWTD WaterBase

5 5 EEA pilot initiative by potential data sharing with utility organisations Aims Facilitate further UWWTD – JQ-IW streamlining Further devoping performance indicators Get added value from existing: E-PRTR reporting (transfers to water) Data on population density GIS layer superimposing techniques Contribute to water–energy nexus for water utility sector Strengthen WISE relations to water utility segment

6 6 Main messages UWWTD – JQ-IW streamling The two data flows are closely related on urban wastewater Two basic differences hinders a streamlining: Population equivalents (p.e.) versus population (inhabitants) Agglomeration versus urban WWTP catchment Expanding current UWWT WaterBase with population per UWWTP sewerage catchment will enable prefilling of parts of JQ-IW table 4, 5 & 7

7 7 How to get data on population (inhabitants) per WWTP ? Already in national databases operated by national UWWTD reporters Already in databases of national water utility associations Already known by individual UWWTP operators To be calculated from shapefiles of UWWTP sewerage catchments by GIS overlay with existing European grids of population density

8 8 How to derive indicators ? Agree on a story and the important (policy) questions Conclusion and communication of key messages -Identify relevant indicators (headlines) answering these -Compare with currently available indicator assessments Decide on assessment methods (targets, criteria) and data needed / available Data compilation and Assessment

9 9 Performance: treatment of waste water Changes in wastewater treatment in regions of Europe between 1990 and 2005 CSI 024 link Key policy question: How effective are existing policies in reducing loading discharges of nutrients and organic matter ?

10 10 Pop-up information on individual WWTPs UWWTP-link

11 11 E-PRTR link

12 12 Trend in mean Total Phosphorus concentration in rivers plotted against loads discharged from UWWTPs- Austria Note: Percentage of population connected to tertiary treatment increased by 24 % since 1998

13 13 Think holistic – start focussed ! -start simple and with big WWTPs -Make data specific per: m3 / p.e. / inhabitant in sewerage catchment -Modify: total loads minus big industries (E-PRTR) Focus on: -Actual, specific pollution loads -UWWTP influent and effluent -Corresponding, specific energy consumptions Looking forward on further development of performance indicators Performance of catchmentPerformance of catchment + WWTP preferred Carbon footprint

14 14 Potential performance indicators - specific loads excluding E-PRTR transfers; based on 2007 data; *) excluding WWTP storm overflows Damhusåen DK310106 Inf. (g/d/p): 68 (BOD), 12 (N), 2.2 (P) Eff. (g(d/p): 4.5 (BOD), 2.8 (N), 0.4 (P) *) Power (W/p): 4.7 (total) 2.5 (net) Lynetten DK10105 Inf. (g/d/p): 96 (BOD), 15 (N), 2.6 (P) Eff. (g(d/p): 3.5 (BOD), 2.2 (N), 0.3 (P) Power (W/p): 6.1 (total) 6.1 (net) Spildevandscenter Avedøre DK1670001 Inf. (g/d/p): 68 (BOD), 13 (N), 2.4 (P) Eff. (g(d/p): 1.7 (BOD), 2.4 (N), 0.3 (P) *) Power (W/p): 7.6 (total) 4.3 (net) Carbon footprint (kg CO2-e/y/p): 23 (net) (Source: utility websites)

15 15 Catchment Performance Indicators "Catchment performance indicator" Influent loadsIDQCODcrBOD5Total NTotal PInhabitants UWWTP short name l/p/dg/p/d1000 p LynettenDK1010513816596152.6535 DamhusåenDK31010615413568122.2230 Spv.Cent. AvedøreDK167000114216468132.4235 HagenDETP_NW120618411649131.7190 Bochum-OlbachtalDETP_NW120110013452131.7184 MendenDETP_NW124723911646121.773 Iserlohn-BaarbachtalDETP_NW123717310746141.769

16 16 Catchment +UWWTP Indicators "Catchment + UWWTP performance indicator" effluent loadsIDQCODcrBOD5Total NTotal PInhabitants UWWTP short name l/p/dg/p/d1000 p LynettenDK10105 DamhusåenDK310106 Spv.Cent. AvedøreDK1670001 HagenDETP_NW1206 Bochum-OlbachtalDETP_NW1201 812.90.12184 MendenDETP_NW1247 Iserlohn-BaarbachtalDETP_NW1237

17 17 Water & Energy specific power consumption at UWWTPs Water & Energy relations: specific power consumption at UWWTPs IDPower consumptionGHG emission UWWTP short name W/pkg CO2-e/p/y totalnetnet, fossile LynettenDK101056.1 DamhusåenDK3101064.72.5 Spv.Cent. AvedøreDK16700017.64.323 HagenDETP_NW12064.00.030.2 Bochum-OllbachrtalDETP_NW12014.21.05.4 MendenDETP_NW12474.22.010.3 Iserlohn-BaarbechtalDETP_NW12374.52.312.4

18 18 Options for data flows in WISE Via national reporters to UWWTDs Via Eionet national focal points Via national associations Coordinated by EUREAU, WSSTP, IWA,.. By individual uploads (EoE-approach) to be discussed...

19 19 Strategic opportunities for future challenges: (presented at IWA Water Utility managent Conference, Barcelona 11-12 may 2010) WISE is a transparent information system of high relevance for water utilities – be free to use it ! Several datasets based on EU water directive reporting can get added value by voluntary supplementary strategic data flows Hereby proposed to utilities to share data on: Specific loads from sewerage catchments Specific emissions from UWWTPs Specific energy consumption Potentially leading to performance indicators across Europe and beyond..

20 20 Thank you to: Avedoere Wastewater Services Lynettefaellesskabet Ruhrverband for sharing data – hopefully more to come in pilot exercise via utility organisations

21 21 Thank you for your attention Do you agree on the WISE perspectives ?

22 22 UWWTD Reporting stream is well established according to requirements of UWWTD Additional voluntary reporting has been incorporated in xml-schemas Reporting via Reportnet has been established as a dataflow Xml-schemas may be revised for next reporting in 2011 Reporting is un-aggregated, e.g. per agglomeration or WWTP level

23 23 JQ-IW Reporting stream is well established according to voluntary agreements and guidance is given in a JQ-IW Manual Reporting is aggregated per country – now also to be regionalised per RBD Nomalising units are p.e. and WWTPs (to destinguish type of treatment)

24 24 UWWTD (p.e.) p.e. is a term normalising organic pollution load (BOD) from industrial sources into the comparable unit of BOD load from 1 person Definition 1 p.e. = 60 BOD (5,ATU) / day) CEN standard (EN:1085) operates with PE (same as p.e.) for more parameters,e.g.: PE B60 = 60 g BOD/day PE N12 = 12 g total N/day, PE P2,7 = 2.7 g total P/day, Standardisation is only on the nomenclature

25 25 UWWTD (p.e.) - Pro et contra Pro: widely used, throughout decades has been used in UWWTD as unit for generated pollution load as criteria to prescribe certain ww- infrastructure service levels Contra: The load from 1 person varies between countries and also over the years In particular P load per person has decreased over time Lack of homogenity for quantifying p.e. from service sector with domestic sewage (included or not) Quantification of pollutant load only related to BOD is losing importance compared to N and P

26 26 UWWTD (agglomeration) Agglomeration is a term introduced in UWWTD in order to establish size criteria for communities to be served by various levels of wastewater infrastructure service The load expressed in p.e. reflects typically the capacity of the agglomeration based on design criteria, e.g., based on p.e/ha for different classes of land use

27 27 Agglomeration - Pro et contra Pro: The concept ensures that the same size of communities are evaluated alike, independently of how many individual WWTPs and corresponding catchments Contra: Such design criteria are expected to vary considerably across Europe Lack of homogenity for quantifying p.e. from service sector with domestic sewage (included or not) and some inhomogenicities arise,e.g. on how generated load from domestic wastewater from service sector is accounted for. Unless the agglomeration and catchment of UWWTD is the same, monitoring data from influent WWTP load cannot be used to characterise the load. Therefore, load expressed in p.e. generated from agglomarations is technically not such a good normalising parameter for the actual loads for the year of reporting The normalisation per inhabitant (=capita) is already widely used in many other environmental and consumption statistics

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