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Test Data Exchange 2008 Test Data Exchange 2008 Assessment of the reported data on Water Abstractions Maggie Kossida George PapoutsoglouETC/W Thematic.

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Presentation on theme: "Test Data Exchange 2008 Test Data Exchange 2008 Assessment of the reported data on Water Abstractions Maggie Kossida George PapoutsoglouETC/W Thematic."— Presentation transcript:

1 Test Data Exchange 2008 Test Data Exchange 2008 Assessment of the reported data on Water Abstractions Maggie Kossida George PapoutsoglouETC/W Thematic Workshop 'Water Quantity and Use' 10-11 October 2007, EEA, Copenhagen National Technical University of Athens-NTUA

2 provide representative periodic assessments of the status & trends in the freshwater abstractions support the development of WS&D indicators broader assessment of specific water-related issues in the relevant conceptual ecosystem frameworks assess the impact of specific sectors, driving forces & responses Main purpose of the Water Abstraction data request Key policy questions: Is the abstraction rate of water sustainable ? Is the use of water by sectors sustainable ?

3 Current EU picture Need for more detailed and less aggregated data Water use by sector

4 Test Data Exchange 2008_Requested Data

5 Data assessment_Water Abstractions t = total s = sectoral (PWS, Tourism, Agriculture, Industry, Thermoelectric Power, Mining, Fish farms, Others) * data not provided but can be calculated from the monthly and annual

6 Data assessment_Water Abstraction SPATIAL RESOLUTION minimum reported scale Regional LevelCountry Level RBDRBAdmin. 4 921 Response: 16 countries

7 SPATIAL DISTRIBUTION WITHIN EU SouthernWesternEastern 268

8 TEMPORAL RESOLUTION minimum reported scale MonthlyAnnual 214 TEMPORAL DISTRIBUTION reference year of reported data 2007200620052004 3751 Data were also provided in additional information in the form of tables or graphs from 2 countries (one set for 1994-2004, and another for 2005) 1 country also reported mean 4-8year values (1995,1999-2003)

9 Overall assessment Water Abstractions data are also shown to be available @ regional RBD level. temporal resolution: data availability on monthly/seasonal scale is more restricted this could be related to the national collection procedure feedback from the counties on the process

10 Water balance + water use = water budget Changes in the water budget of a RB /RBD can demonstrate how human activities, (e.g. drainage, irrigation systems, urbanization, land use change etc.) in one part of the hydrological cycle may affect other aspects Comparison of water budgets from different RBs/RBDs can be used to integratedly address both water availability and environmental issues Added Value of the disaggregated data Annual averages do not depict seasonality which is important Country level averages do not depict spatial variability and trends The following preliminary examples, based on the Test Data Exchange 2008, illustrate the importance of disaggregated data both in spatial and temporal scale

11 Examples from the Test Data Exchange 2008

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14 Water abstractions Monthly Trends per RB in SK

15 Danube (SK) monthly trends in Freshwater Abstractions and the role of Agriculture and Industry

16 Depicting the Seasonality in Agricultural and Industrial water use in SK RBS

17 Water abstractions Monthly Trends in Shannon RBD, IRELAND

18 necessary technical clarifications, definition of terms for harmonization timeliness and availability of the data in order to streamline the reporting Cooperation between EEA and EUROSTAT (JQ) is already in process A first QC check revealed uncertainty and inconsistency is some data sets. The current data will be examined thoroughly and questions will be sent to the countries for clarification Water abstraction data are very important to support SoE assessments and water scarcity and drought activities since they communicate important socio- economic information indispensable for any work under the DPSIR framework Thus, EEA will also examine possibilities of seasonally disaggregating annual abstraction data (using specific methodologies combined with water-use coefficients (dependant on the availability of other types of data (e.g. sensus data, land use date etc.), higher bias? Further Steps

19 Thank you for your attention !


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