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Work package 4: Data Acquisition

Work package 4: Data Acquisition. Leading Participant:. RUHR-UNIVERSITY BOCHUM, GERMANY Steffen Bender, Tilman Mieseler, Till Rubbert. Content. Pilot site „Upper Regen Region“ IGMS Data quality Terms Sampling Analytics. Content. Pilot site „Upper Regen Region“ IGMS

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Work package 4: Data Acquisition

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  1. Work package 4: Data Acquisition Leading Participant: RUHR-UNIVERSITY BOCHUM, GERMANY Steffen Bender, Tilman Mieseler, Till Rubbert

  2. Content • Pilot site „Upper Regen Region“ • IGMS • Data quality • Terms • Sampling • Analytics

  3. Content • Pilot site „Upper Regen Region“ • IGMS • Data quality • Terms • Sampling • Analytics

  4. Pilot site „Upper Regen Region“ in Bavaria

  5. Šumava catchment Upper Regen Region Pilot site „Upper Regen Region“ in Bavaria

  6. Pilot site „Upper Regen Region“ in Bavaria

  7. Pilot site „Upper Regen Region“ in Bavaria • located at the border to the Czech Republic • partially well investigated (e.g. LOWRGREP) • general conditions: Nature Park, touristical centers, agricultural land use, local water supplies • highest mountain of Bavarian Forest: „Großer Arber“ • catchment area of the river „Schwarzer Regen“

  8. Content • Pilot site „Upper Regen Region“ • IGMS • Data quality • Terms • Sampling • Analytics

  9. IGMSIntegrated Groundwater Balance Monitoring Station

  10. Intended outputs of the IGMS • completion of measuring networks • evaluation of interpolation methods • water balances • climatic water balance • soil water balance • groundwater balance

  11. Locations for the IGMS

  12. Content • Pilot site „Upper Regen Region“ • IGMS • Data quality • Terms • Sampling • Analytics

  13. What is quality ? According to DIN 55350, part 11: Term of Quality Assurance and Statistics „Quality is the totality of characteristics of a product, action or function which is related to the qualification for completion of prevailing requirements.“

  14. Hydrogeological work concerning protection of soil and groundwater • goals: compliance with regulations • legislative provisions, standards, guidelines, recommendations • state of the art Working in the laboratory • goal: guarantee of analytical methods and results which are accepted by law • comparable, verifiable, confidential Quality Assurance

  15. Accreditation Acceptation and certification of competence DIN EN 45 001 bzw. ISO 17 025 (technical evaluation) Certification ISO 9001-9003 (non-technical evaluation) Terms

  16. DIN EN ISO 25667, T2:instruction of sampling procedure DIN 38402: -part 11 : sampling of waste water -part 12 : sampling of stagnant water -part 13 : sampling of groundwater -part 14 : sampling of natural and potable water -part 15 : sampling of brooks, rivers, streams DVWK-Regel 128/1992: collection and scale of investigations for groundwater samples DVWK-Merkblatt 245/1997: horizontal orientation of sampling in wells Sampling campaigns water samples (1)

  17. Merkblatt Slg LfW Teil 3, Nr.3.6-2 monitoring of groundwater, surface water and seepage water near waste recycling sites Merkblatt Slg LfW Teil 1, Nr.1.4-1 scope of a chemico-technical water analysis concerning questions of water management (hydrochemistry of groundwater and potable water) Merkblatt Slg LfW Teil 1, Nr.1.4-2 guidelines for water sampling at pumping tests Sampling campaigns water samples (2)

  18. Examples for analysing methods

  19. Accuracy Precision Analytics Terms (1)

  20. Analytics Terms (2) Reproducibility: Dimension of conformity of analytical results at identical investigated objects under equal conditions (method, laboratory, personnel) Comparability: Dimension of conformity of analytical results at identical investigated objects, at different times and under different conditions.

  21. Questionnaire Data acquisition in the field and laboratory • Natural conditions • frame of test site • summary of important studies • monitoring strategy • Data evaluation • unidentified data • regionalized data (scaling effect) Administration section Further problems or obstacles

  22. Questionnaire (25.09.2003) Šumava catchment Guadiana River Nestos River Pasvik River Bělá River      Natural conditions Frame of test site Summary of important studies Monitoring strategy                     Data evaluation Unidentified data Regionalized data (scaling effect)              Administrative section Further problems or obstacles  available         no information few information good information

  23. We look forward to a good continuation of work!

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