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Development of a data filtration method for strategic data acquisition in sewer rehabilitation planning

机译:下水道修复计划中用于战略性数据获取的数据过滤方法的开发

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摘要

Many of the current tools for sewer rehabilitation planning are too complex to be applied in practice, and in Austria for example, no standardised approach regarding sewer rehabilitation planning is currently available, making comparison between utilities difficult. In a three-year research co-operation between universities and sewer operators, suggestions for standardising performance requirements for sewer rehabilitation are being compiled, as well as a supporting data filtration method. In this paper, Florian Kretschmer, Hanns Plihal, Daniela Fuchs-Hanusch, Michael Moederl and Thomas Ertl describe the basic idea of the data filtration method, as well as the first results obtained regarding the definition of different performance indicators.
机译:当前许多用于下水道修复计划的工具太复杂而无法在实践中应用,例如在奥地利,目前尚无关于下水道修复计划的标准化方法,这使得公用事业之间的比较变得困难。在大学和下水道运营商之间为期三年的研究合作中,正在汇编有关标准化下水道修复性能要求的建议以及一种支持性的数据过滤方法。在本文中,Florian Kretschmer,Hanns Plihal,Daniela Fuchs-Hanusch,Michael Moederl和Thomas Ertl描述了数据过滤方法的基本思想,以及有关定义不同性能指标的第一个结果。

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  • 来源
    《Water asset management international》 |2011年第3期|p.2-6|共5页
  • 作者单位

    University of Natural Resources and Life Sciences, Vienna (BOKU), Institute of Sanitary Engineering and Water Pollution Control, Vienna, Austria;

    University of Natural Resources and Life Sciences, Vienna (BOKU), Institute of Sanitary Engineering and Water Pollution Control, Vienna, Austria;

    University of Natural Resources and Life Sciences, Vienna (BOKU), Institute of Sanitary Engineering and Water Pollution Control, Vienna, Austria;

    Graz University of Technology, Institute of Urban Water Management and Landscape Water Engineering, Graz,Austria;

    University of Innsbruck, Unit of Environmental Engineering, Innsbruck, Austria;

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