Test Data Exchange 2008Test Data Exchange 2008

Assessment of the reported data on Water Abstractions

Maggie KossidaMaggie KossidaGeorge Papoutsoglou

ETC/WETC/W

Thematic Workshop 'Water Quantity and Use' 10-11 October 2007, EEA, Copenhagen

National Technical University of Athens-NTUA

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 ?

Current EU picture

Need for more detailed and less aggregated data

Water use by sector

Water abstraction for irrigation

0

5000

10000

15000

20000

25000

30000

35000

40000

45000

Eastern (centraland northern)

Western (centraland northern)

Western(southern)

mio

. m3

19902005

Test Data Exchange 2008_Requested Data

Data assessment_Water Abstractions

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

Data assessment_Water Abstraction

SPATIAL RESOLUTIONminimum reported scale

Regional Level Country Level

RBD RB Admin.4

9 2 1

Response: 16 countries

SPATIAL DISTRIBUTION WITHIN EU

Southern Western Eastern

2 6 8

TEMPORAL RESOLUTIONminimum reported scale

Monthly Annual

2 14

TEMPORAL DISTRIBUTIONreference year of reported data

2007 2006 2005 2004

3 7 5 1

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)

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

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

Examples from the Test Data Exchange 2008

Water abstractions Monthly Trends

per RB in SK

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

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

Water abstractions Monthly Trends in Shannon RBD, IRELAND

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

Thank you for your attention !Thank you for your attention !