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THE CHARACTERISATION OF THE RIVER BASIN DISTRICT

Analyzing characteristics and impacts on surface and groundwater, assessing economic significance, and collecting data for water sectors.

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THE CHARACTERISATION OF THE RIVER BASIN DISTRICT

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  1. THE CHARACTERISATION OF THE RIVER BASIN DISTRICT Analysis of the characteristics

  2. Goal: assess the economic "weight" of water uses and services THE CHARACTERISATION UNDER WFD • What scope? • see art. 5.1 • contents: • an analysis of RBD's characteristics • a review of the impact of human activity on the status of surface waters and on ground water • an economic analysis of water use • How to do it? • see Annex II: identification of significant anthropogenic pressures • see Annex III: economic analysis 2/15

  3. Identification of necessary data • types: technical, economic • sectors covered: household, agriculture, industry, recreation... • Collection of data • location, cost • availability • quality: scale, reliability... • Use of the data • show the link with the use in WFD process • wider than strictly water issues... MAIN ISSUES RAISED AT THE CHARACTERISATION STAGE 3/15

  4. Identification of necessary data • types: technical, economic • sectors covered: household, agriculture, industry, recreation... • Collection of data • location, cost • availability • quality: scale, reliability... • Use of the data • show the link with the use in WFD process • wider than strictly water issues... MAIN ISSUES RAISED AT THE CHARACTERISATION STAGE 4/15

  5. MAJOR WATER USES Industrial uses • abstraction • discharges Agricultural uses • abstraction • diffuse discharges Urban uses • drinking water supply • wastewater treatment Source: Ministry of the environment,Québec, Canada 5/15 Recreational / ecological uses • angling • bathing...

  6. WHAT TYPES OF INFORMATION ARE NEEDED? • Technical information • allowing to describe water uses and services • connected to economic data • Economic information • directly related to water aspects • allowing to describe the economic weight of water uses and services • appraising environmental values 6/15

  7. EXAMPLES OF USEFUL DATA FOR THE DESCRIPTION OF THE DOMESTIC SECTOR 7/15

  8. EXAMPLES OF USEFUL DATA FOR THE DESCRIPTION OF THE AGRICULTURAL SECTOR 8/15

  9. Data is to be collected separately for each key industrial sector: chemical industry, services… EXAMPLES OF USEFUL DATA FOR THE DESCRIPTION OF THE INDUSTRIAL SECTOR 9/15

  10. To be adapted to local situations and uses/services EXAMPLES OF USEFUL DATA FOR THE DESCRIPTION OF OTHER IMPORTANT SECTORS 10/15

  11. Identification of necessary data • types: technical, economic • sectors covered: household, agriculture, industry, recreation... • Collection of data • location, cost • availability • quality: scale, reliability... • Use of the data • show the link with the use in WFD process • wider than strictly water issues... MAIN ISSUES RAISED AT THE CHARACTERISATION STAGE 11/15

  12. THE COLLECTION OF DATA • Data comes from several sources • data directly connected to water: generally from the water sector  e.g. volumes of effluents discharged: from water authorities  e.g. volumes of water distributed: from water companies • data not directly connected to water issues: generally from outside of the water sector  e.g. demographic trends: from offices of statistics  e.g. evolution of industrial production: from professional organisations • Data comes from different geographic levels  e.g. income from tourism: from local tourism offices…  e.g. turnover of water companies: from their national HQ • Data has several forms  e.g. cost of environmental damages: sparse data (studies…)  e.g. employment in industrial sectors: structured databanks 12/15

  13. Be pragmatic: adjust to your needs Always be transparent about methods you use, the degree of uncertainty, etc. For 2004: apply cost-effective methodsFor the future: consider new organisation for data production, storage and collection QUESTIONS TO TACKLE WHEN COLLECTING DATA • Scale issues / (dis)aggregation  e.g. when describing impacts and pressures: work at the scale of significant pressures, water uses/services  e.g. when aiming at public participation: work at the (local) scale people feel concerned and get involved • Uncertainty • Accuracy  depends on the significance of the impact described: limited accuracy is negligible when impact has little significance  depends on the use of the data: limited accuracy of individual data may be acceptable when data is aggregated at large scale • Reliability  who produces/stores data? under what form?  how often is it updated?  ... 13/15

  14. Identification of necessary data • types: technical, economic • sectors covered: household, agriculture, industry, recreation... • Collection of data • location, cost • availability • quality: scale, reliability... • Use of the data • show the link with the use in WFD process • wider than strictly water issues... MAIN ISSUES RAISED AT THE CHARACTERISATION STAGE 14/15

  15. When ultimate use of data is not obvious, explain it clearly to all actors WHAT IS THE USE OF THE DATA? • employment in various economic sectors; demographic evolution...  appraise future water demand when constructing baseline scenario • volume of effluents discharged; of raw water abstracted...  determine pressures and impacts of activities • income / inhabitant; willingness to pay for higher water quality...  estimate the ability to pay to assess whether costs of possible measures are disproportionate • cost of environmental damages; opportunity cost of water...  assess cost-benefit ratios when comparing / selecting the most cost-efficient measures  determine whether costs are disproportionate or not • detailed structure of the price of water / m3; cost of specific treatments for drinking water production (denitrification…)...  identify cross-subsidies and externalities when assessing the level of recovery of costs of water services • daily expenses by tourists; turnover of fishing industry...  assess the benefits linked to a water body 15/15

  16. GO FURTHER • How to cope with uncertainty? GF1/2

  17. HOW TO COPE WITH UNCERTAINTY? • use available data with all necessary care: extrapolation, experts' saying, aggregation... • produce lacking data when essential • identify clearly the key data gaps and costs to fill them in / the uncertainty to prevent from misunderstanding/ ease future updating In the short term • organise/plan the permanent collection / production of data • update initial data and results as soon as possible In the mid-term GF2/2 • organise capacity-building • integrate data production in the continuous process of updating the management plan 17/14 In the long-term

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