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Drinking water quality monitoring using trend analysis
Jani Tomperi1, Esko Juuso1, Mira Eteläniemi2
1University of Oulu, Control Engineering Laboratory, P.O. Box 4300, FIN-90014 University of Oulu, Finland
Journal of Water and Health
|June 18, 2014
Summary
This study introduces a trend index to monitor residual aluminium in drinking water, a key quality parameter. This method helps detect changes, ensuring water safety and reducing economic losses for treatment plants.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Water Treatment Technology
Background:
- Residual aluminium is a critical drinking water quality parameter.
- Elevated levels pose health risks and economic challenges for water treatment plants.
- Effective monitoring is essential for public health and operational efficiency.
Purpose of the Study:
- To develop a novel method for early detection of changes in residual aluminium levels in drinking water.
- To provide tools for enhanced water quality monitoring and process control.
- To mitigate health risks and economic losses associated with aluminium contamination.
Main Methods:
- Development of a trend index from scaled measurement data.
- Utilizing non-linear functions, generalized norms, and moments for data scaling.
- Classification of triangular episodes using the trend index and its derivative.
- Evaluation of situation severity through deviation indices.
Main Results:
- The trend index effectively detects warning signs of changes in residual aluminium.
- Classification of trend episodes and deviation indices provide robust water quality change detection.
- The developed tools are suitable for real-time process control in water treatment.
Conclusions:
- The trend index and deviation indices are valuable tools for monitoring residual aluminium in drinking water.
- These methods enhance the ability to detect and manage changes in water quality.
- Implementation can lead to improved public health outcomes and operational efficiency in water treatment plants.
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