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Path-dependent approach to estimate chlorine wall demand coefficient in water distribution system.

机译:估计供水系统中氯壁需求系数的路径相关方法。

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摘要

A novel approach to calibrate pipe wall demand coefficients for chlorine decay using an input-output model framework is proposed. The input-output model of water quality in water distribution system developed in this research is presented as a particle (water parcel) backtracking algorithm, which provides information that is not available using traditional simulation approaches: the various paths that water takes between a particular input source and output node, and their associated time delays and impact on output node water quality. Such information constitutes a complete description of the input-output behavior under typical assumption of first-order chemical decay or production reactions. Therefore the chlorine concentration at "downstream" locations can be expressed explicitly as a function of concentration at "upstream" locations, and pipe wall demand coefficients. This not only expedites the computational efficiency of the parameter estimation algorithm, but frees the field study to consider chlorine concentration sampling at any location in a network. Chlorine measurement and hydraulic model errors will cause uncertainty in wall demand coefficient estimates and this should be taken into consideration in sampling design. In this research, sensitivity-based method is developed to select chlorine measurement locations for the purpose of getting reliable estimates of wall demand coefficients. The impact of hydraulic error on wall demand coefficient estimation of different designs is compared using a heuristic representing the sensitivity of modeled chlorine concentration to hydraulic error. Chlorine measurement errors are also considered and a D-optimal design algorithm is applied to select chlorine measurement locations. This proposed approach is suboptimal, yet efficient and practical, and considers both hydraulic and chlorine measurement errors. A field study is conducted in a southern U.S. utility as an application of the parameter estimation approach. A tracer study is implemented and the conductivity measurements are used to calibrate an existing hydraulic model through a manual approach. Chlorine concentrations are monitored continuously both at water source and within the distribution system. The wall demand coefficient is calibrated, assuming all pipes have the same demand coefficient.
机译:提出了一种使用输入-输出模型框架来校正氯衰减的管壁需求系数的新方法。本研究开发的供水系统中水质的输入输出模型以粒子(水包)回溯算法表示,该算法提供了传统模拟方法无法获得的信息:特定输入之间水的不同路径源节点和输出节点及其相关的时间延迟和对输出节点水质的影响。这些信息构成了一阶化学衰变或生产反应的典型假设下的输入-输出行为的完整描述。因此,“下游”位置的氯浓度可以明确表示为“上游”位置的浓度和管壁需求系数的函数。这不仅加快了参数估计算法的计算效率,而且使现场研究不再需要考虑网络中任何位置的氯浓度采样。氯气测量和水力模型误差将导致墙体需求系数估算的不确定性,在采样设计中应考虑到这一点。在这项研究中,开发了基于灵敏度的方法来选择氯的测量位置,目的是获得可靠的壁需求系数估计值。使用启发式表示比较建模的氯浓度对液压误差的敏感性,比较了液压误差对不同设计的墙体需求系数估计的影响。还考虑了氯测量误差,并采用了D最优设计算法来选择氯测量位置。该提议的方法不是最优的,但是有效且实用,并且考虑了水力和氯测量误差。作为参数估计方法的一种应用,在美国南部的一家公用事业公司进行了现场研究。进行了示踪剂研究,并使用电导率测量值通过手动方法校准了现有的水力模型。在水源和分配系统内都对氯浓度进行连续监测。假设所有管道都具有相同的需求系数,则对墙壁需求系数进行校准。

著录项

  • 作者

    Shang, Feng.;

  • 作者单位

    University of Cincinnati.;

  • 授予单位 University of Cincinnati.;
  • 学科 Engineering Environmental.; Engineering Civil.; Engineering Sanitary and Municipal.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 161 p.
  • 总页数 161
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境污染及其防治;建筑科学;建筑科学;
  • 关键词

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