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Stochastische Analyse von Brunnenkopfschutz und Risikoanalyse

Description: Das Projekt "Stochastische Analyse von Brunnenkopfschutz und Risikoanalyse" wird vom Umweltbundesamt gefördert und von Universität Tübingen, Institut und Museum für Geologie und Paläontologie, Lehrstuhl für Angewandte Geologie durchgeführt. Objective/Problems to be solved: Major problems that European drinking water companies and Environmental Agencies are facing are: (a) the development of tools to reliably predict the pattern of the groundwater flow due to drinking well fields operating in heterogeneous formations and (b) the definition of a reliable strategy for the quantification of the risk associated to such predictions. Regulators now understand that once a portion of an aquifer has been severely contaminated its strategic importance is compromised and protection of such resources by the reliable prediction of flow field around pumping stations has a strategic impact at a European level. Traditional deterministic models inherently offer predictions of undetermined quality. The W-SAHaRA Consortium is motivated by the need to recognise the importance of spatial heterogeneities and related uncertainty, and incorporate these elements into a comprehensive action aimed to the development of general and robust criteria for an efficient and cost-effective planning and management of groundwater drinking well fields. Many of the techniques being developed within the scope of this project are (in principle) amenable to application to a wide range of problems involving the impact of groundwater pollutants on the environment. At the end of the project we will include a report assessing the implication of our results to the Water Framework Directive. Scientific objectives and approach: Objectives include: (a) development of a methodology for the quantification of the concept of vulnerability of groundwater drinking wells, in a probabilistic framework; (b) application of this strategy to a specific situation and a selected site and simulation of the impact of the obtained solution in decision-making policies; (c) definition of the philosophy of risk assessment for well fields in a stochastic context and (d) production of guidelines for drinking water companies and Environmental Agencies on how to reduce uncertainty on heads/fluxes prediction by geological field investigations and monitoring of groundwater heads/concentrations. We will attack the problem on different fronts: (a) theoretical/conceptual; (b) laboratory and field scale; (c) deterministic and stochastic model development of synthetic and real-world cases. Numerical Monte Carlo (MC) techniques will be employed, addressing issues such as (a) development of efficient algorithms for MC simulations of catchments in 3D using alternative methods of particle tracking and Kolmogorov backward equation; (b) clarification of conditioning formalisms, through analysis of the importance of conditioning data in order to reduce the uncertainty of well catchments; (c) adoption and development of inverse methods that can use a variety of data types to decrease uncertainty about aquifer properties and wellhead regions of influence... Prime Contractor: Politenico di Milano, Dipartimento di Ingegneria Idraulica Ambientale e del Rilevamento; Milano.

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SupportProgram

Origin: /Bund/UBA/UFORDAT

Tags: Tübingen ? Raumordnung ? Trinkwasserüberwachung ? Umweltauswirkung ? Grundwassermonitoring ? Grundwasserverunreinigung ? Ingenieurgeologie ? Wasserrahmenrichtlinie ? Grundwasserbewirtschaftung ? Anwendungstechnik ? Daten ? Gefahrenabwehr ? Getränk ? Einzugsgebiet ? Grundwasserleiter ? Grundwasserströmung ? Management ? Marktforschung ? Mathematisches Modell ? Monitoring ? Paläontologie ? Planungsgebiet ? Risikoanalyse ? Simulation ? Stochastik ? Strömungsfeld ? Strömungsmechanik ? Strömungsmodell ? Trinkwasser ? Wasserversorgungsanlage ? Grundwasser ? Modellierung ? Risiko ? Planung ? Partikel ? Umweltschutz ? Gefahrenvorsorge ? Soziale Aspekte ? Ressource ? Wassergewinnung ? Risikobewertung ? Wasserwirtschaft ? Wirtschaftliche Aspekte ? Monte-Carlo-Methode ?

Region: Baden-Württemberg

Bounding box: 9° .. 9° x 48.5° .. 48.5°

License: cc-by-nc-nd/4.0

Language: Deutsch

Organisations

Time ranges: 2000-01-04 - 2003-03-31

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