Patterns in Potential Impacts Associated with Contamination Events in Water Distribution Systems

2011 ◽  
Vol 137 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Michael J. Davis ◽  
Robert Janke
Keyword(s):  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Contamination Events

scholarly journals Adaptive Detection Method for Organic Contamination Events in Water Distribution Systems Using the UV-Vis Spectrum Based on Semi-Supervised Learning

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1566 ◽  
Author(s):  
Qiaojun Yu ◽  
Hang Yin ◽  
Ke Wang ◽  
Hui Dong ◽  
Dibo Hou
Keyword(s):  
Supervised Learning ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Support Vector ◽  
False Alarms ◽  
Organic Contamination ◽  
Support Vector Regression Model ◽  
Contamination Events ◽  
Speed Accuracy

A method that uses the ultraviolet-visible (UV-Vis) spectrum to detect organic contamination events in water distribution systems exhibits the advantages of rapid detection, low cost, and no need for reagents. The speed, accuracy, and comprehensive analysis of such a method meet the requirements for online water quality monitoring. However, the UV-Vis spectrum is easily disturbed by environmental factors that cause fluctuations of the spectrum and result in false alarms. This study proposes an adaptive method for detecting organic contamination events in water distribution systems that uses the UV-Vis spectrum based on a semi-supervised learning model. This method modifies the baseline using dynamic orthogonal projection correction and adjusts the support vector regression model in real time. Thus, an adaptive online anomaly detection model that maximizes the use of unlabeled data is obtained. Experimental results demonstrate that the proposed method is adaptive to baseline drift and exhibits good performance in detecting organic contamination events in water distribution systems.

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