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Relationships between DBP concentrations and differential UV absorbance in full-scale conditions
Nicolas Beauchamp1, Olivier Laflamme1, Sabrina Simard2
1Département de génie civil et de génie des eaux, Université Laval, 1065, avenue de la médecine, Québec, Qc G1V 0A6, Canada.
Differential UV spectroscopy shows promise for predicting disinfection by-product (DBP) levels in drinking water treatment. However, relationships observed at full scale vary, questioning their year-round stability.
Area of Science:
- Environmental Chemistry
- Water Treatment Technology
Background:
- Differential UV spectroscopy (DUVS) shows potential for predicting disinfection by-product (DBP) concentrations at laboratory scale.
- Full-scale application of DUVS in drinking water treatment facilities remains largely unexplored.
Purpose of the Study:
- To assess the feasibility of developing relationships between differential UV absorbance and DBP concentrations in a full-scale drinking water treatment plant.
- To investigate the influence of seasonal variations in raw water quality and treatment conditions on these relationships.
Main Methods:
- Application of differential UV spectroscopy to monitor UV absorbance changes before and after chlorination.
- Correlation analysis to establish relationships between differential UV absorbance and concentrations of regulated and unregulated DBPs.
- Seasonal sampling campaigns to capture variations in water quality and treatment parameters.
Main Results:
- Linear and power relationships were established between differential UV absorbance and DBP concentrations, with R² values ranging from 0.62 to 0.99.
- Significant differences were observed between relationships derived from laboratory-scale and full-scale conditions.
- Relationships varied across different sampling campaigns, indicating a lack of consistent stability throughout the year.
Conclusions:
- Differential UV spectroscopy can establish predictive relationships with DBP concentrations at a full scale.
- The variability of these relationships across seasons and conditions necessitates further investigation for reliable, real-time monitoring.
- The potential for developing stable, year-round predictive models for DBP concentrations using DUVS requires further research.
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