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A Parameter Classification System for Nonrevenue Water Management in Water Distribution Networks

机译:供水管网非营水管理的参数分类系统

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摘要

Nonrevenue water (NRW) in a water distribution network is the water lost from unbilled authorized consumption, apparent losses, and real losses compared to the total system input volume. Nonrevenue water is an important parameter for prioritizing water distribution network improvement intervention planning, and it is necessary to identify the affecting parameters. A factor classification system has been developed based on the factors suggested by major institutions and researchers to propose an effective NRW classification system in a water distribution network. The factor classifications used include physical, operational, and socioeconomic factors that could affect NRW. Appropriate standards are required when classifying water main parameters. In this study, three criteria were proposed to create independent factors. The first relates to the properties of the parameter. One determines whether the parameters related to the water network are more suitable for physical, operational, or socioeconomic factors and classifies them into one of these three parameters. Second, one considers data availability and data characteristics taking into account the scope of the coverage area. Third, it must be possible to quantify selected parameter data. Whether the collected data are numerically valid and whether it can be used as a standard for assessment or comparison between regions must be examined. The quantification portion of the qualitative data in managing NRW is important and needs to be used in accordance with reasonable standards. In this study, more factors can be used depending on those selected, and it was found that NRW prediction that reflects regional characteristics is possible.
机译:配水网中的非收入水(NRW)是与总系统输入量相比,由于未开票的授权消耗量,表观损失和实际损失而损失的水。非收入水是优先进行配水管网改善干预计划的重要参数,有必要确定影响参数。基于主要机构和研究人员建议的因素,已经开发了一种因子分类系统,以提出一种有效的配水网络中的NRW分类系统。所使用的因素分类包括可能影响北威州的物理,运营和社会经济因素。对水的主要参数进行分类时,需要适当的标准。在这项研究中,提出了创建独立因素的三个标准。第一个与参数的属性有关。可以确定与供水网络相关的参数是否更适合物理,运营或社会经济因素,并将其分类为这三个参数之一。第二,考虑覆盖范围的数据来考虑数据可用性和数据特征。第三,必须有可能量化选定的参数数据。必须检查收集到的数据在数值上是否有效以及是否可以用作评估或区域之间比较的标准。管理NRW时,定性数据的量化部分很重要,需要根据合理的标准使用。在这项研究中,可以根据所选择的因素使用更多的因素,并且发现反映区域特征的NRW预测是可能的。

著录项

  • 来源
    《Advances in civil engineering》 |2018年第4期|3841979.1-3841979.10|共10页
  • 作者

    Jang Dongwoo;

  • 作者单位

    Incheon Natl Univ, Dept Civil & Environm Engn, Incheon 22012, South Korea;

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  • 原文格式 PDF
  • 正文语种 eng
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