[1]林晓丹,陈方亮,强志民,等.供水管网水质模型的研究进展：经验统计模型[J].中国给水排水,2021,37(14):1-7.
　LIN Xiao-dan,CHEN Fang-liang,QIANG Zhi-min,et al.Research Progress on Water Quality Models of Drinking Water Distribution Systems: Empirical Statistic Models[J].China Water & Wastewater,2021,37(14):1-7.
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供水管网水质模型的研究进展：经验统计模型

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第37卷 期数: 2021年第14期 页码: 1-7 栏目: 出版日期: 2021-07-17
Title:
Research Progress on Water Quality Models of Drinking Water Distribution Systems: Empirical Statistic Models
作者:
林晓丹1,2，陈方亮3，强志民1,2，徐强1
(1.中国科学院生态环境研究中心饮用水科学与技术重点实验室，北京100085；2.中国科学院大学，北京100049；3.郑州力通水务有限公司，河南郑州071000)
Author(s):
LIN Xiao-dan1,2,CHEN Fang-liang3,QIANG Zhi-min1,2,XU Qiang1
(1. Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China; 3. Zhengzhou Litong Water Service Co. Ltd., Zhengzhou 071000, China)
关键词:
供水管网; 水质模型; 经验统计模型
Keywords:
drinking water distribution systems; water quality models; empirical statistic models
摘要:
管网水质安全是供水行业长期关注的重点，管网水质模型通过跟踪、评价、预测管网水质变化，在保障管网水质安全方面发挥了重要作用。由于管网内部环境复杂，管网水质微观机理模型的研究难度较大；但随着数据获取能力和分析能力的不断提高，经验统计模型在管网水质模拟中发挥了越来越重要的作用。首先，简介了经验统计模型的原理、常用变量及建模方法，并对比了几种典型算法的优缺点；其次，分别介绍了各类经验模型的研究进展；最后，对未来研究方向进行了展望。
Abstract:
The security of water quality in drinking water distribution systems (DWDSs) is a long-term focus of the water supply industry. Water quality models play an important role in ensuring the DWDSs water quality by tracking, assessing, and predicting water quality changes. Due to the complicated internal environment of DWDSs, it is difficult to establish micro-mechanism models of water quality changes. However, with the rapid improvements of data acquisition and analysis capabilities nowadays, empirical statistic models have played an increasingly important role in water quality modeling. The principle, commonly-used variables and approaches of empirical statistic models are first introduced in this paper, while the advantages and disadvantages of several typical algorithms that are adopted by the models are compared. Furthermore, the research progress on various empirical models is discussed. Finally, the future research directions are prospected.

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更新日期/Last Update: 2021-07-19