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 14):1-7.
Research Progress on Water Quality Models of Drinking Water Distribution Systems: Empirical Statistic Models
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第37卷
Number:
14 14
Page:
1-7
Column:
Date of publication:
2021-07-17
- 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.
Last Update:
2021-07-19