Partial least squares regression model to predict water quality in urban water distribution systems

被引：0
作者：
Luo B. [1 ]
Zhao Y. [1 ,2 ]
Chen K. [3 ]
Zhao X. [1 ]
机构：
[1] School of Environmental Science and Engineering, Tianjin University
[2] Architectural Design and Research Institute, Southeast University
[3] Tianjin Huashui Water Supply Construction Co. Ltd.
来源：
Transactions of Tianjin University | 2009年 / 15卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Fe; Partial least squares regression; Turbidity; Water distribution systems; Water quality;
D O I：
10.1007/s12209-009-0025-2
中图分类号：
学科分类号：
摘要：
The water distribution system of one residential district in Tianjin is taken as an example to analyze the changes of water quality. Partial least squares (PLS) regression model, in which the turbidity and Fe are regarded as control objectives, is used to establish the statistical model. The experimental results indicate that the PLS regression model has good predicted results of water quality compared with the monitored data. The percentages of absolute relative error (below 15%, 20%, 30%) are 44.4%, 66.7%, 100% (turbidity) and 33.3%, 44.4%, 77.8% (Fe) on the 4th sampling point; 77.8%, 88.9%, 88.9% (turbidity) and 44.4%, 55.6%, 66.7% (Fe) on the 5th sampling point. © Tianjin University and Springer-Verlag 2009.
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页码：140 / 144
页数：4
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