Evaluating online data of water quality changes in a pilot drinking water distribution system with multivariate data exploration methods

被引：24
|
作者：
Mustonen, Satu M. [1 ]
Tissari, Soile [1 ]
Huikko, Laura [1 ]
Kolehmainen, Mikko [1 ]
Lehtola, Markku J. [2 ]
Hirvonen, Arja [1 ]
机构：
[1] Univ Kuopio, Dept Environm Sci, FI-70211 Kuopio, Finland
[2] Natl Publ Hlth Inst, Dept Environm Hlth, Lab Environm Microbiol, FI-70701 Kuopio, Finland
来源：
WATER RESEARCH | 2008年 / 42卷 / 10-11期
关键词：
distribution system; water quality; pressure shock; online monitoring; Self-Organising Map; Sammon's mapping;
D O I：
10.1016/j.watres.2008.01.015
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The distribution of drinking water generates soft deposits and biofilms in the pipelines of distribution systems. Disturbances in water distribution can detach these deposits and biofilms and thus deteriorate the water quality. We studied the effects of simulated pressure shocks on the water quality with online analysers. The study was conducted with copper and composite plastic pipelines in a pilot distribution system. The online data gathered during the study was evaluated with Self-Organising Map (SOM) and Sammon's mapping, which are useful methods in exploring large amounts of multivariate data. The objective was to test the usefulness of these methods in pinpointing the abnormal water quality changes in the online data. The pressure shocks increased temporarily the number of particles, turbidity and electrical conductivity. SOM and Sammon's mapping were able to separate these situations from the normal data and thus make those visible. Therefore these methods make it possible to detect abrupt changes in water quality and thus to react rapidly to any disturbances in the system. These methods are useful in developing alert systems and predictive applications connected to online monitoring. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2421 / 2430
页数：10
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