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Simplified chemical chloramine decay model for water distribution systems
Reyad Roy1, Arumugam Sathasivan1, George Kastl1
1School of Computing Engineering and Mathematics, Western Sydney University, Sydney, NSW, Australia.
A simplified model predicts chloramine loss in ultrapure water using a single equation. This model accurately estimates the first-order decay coefficient based on key water quality parameters, simplifying complex simulations for water utilities.
Area of Science:
- Environmental Chemistry
- Water Treatment Engineering
- Chemical Kinetics
Background:
- Complex mechanistic models for predicting chloramine loss in ultrapure water are computationally intensive and rarely used outside academic research.
- Existing models often require specialized software and extensive ordinary differential equation (ODE) simulations, limiting practical application in water treatment.
Purpose of the Study:
- To develop a simplified, practical model for predicting chloramine decay in ultrapure water.
- To create a single-line equation with fixed coefficients that accurately estimates the first-order decay coefficient.
- To provide a user-friendly tool for water utilities to assess chloramine stability under various conditions.
Main Methods:
- Developed a simplified predictive model represented by a single-line equation with eight fixed coefficients.
- Validated the model's accuracy in predicting the first-order chloramine decay coefficient across specified ranges of pH, chlorine-to-ammonia ratio, initial dose, and alkalinity at 25°C.
- Incorporated the Arrhenius equation for calculating decay coefficients at different temperatures (4-35°C).
Main Results:
- The simplified model accurately predicts the first-order chloramine decay coefficient as a function of pH, chlorine-to-ammonia mass ratio, initial chloramine dose, and alkalinity.
- A relative model allows for evaluating the individual or collective impact of these water quality parameters.
- A minor adjustment to the initial chloramine concentration is recommended for accurate chloramine profile prediction based on pH.
Conclusions:
- The developed simplified model offers a practical and accurate alternative to complex mechanistic models for chloramine loss prediction in ultrapure water.
- This model can be readily adapted by water utilities for operational use and future integration of other decay factors like NOM, bromide, and microbiological activity.
- The findings facilitate better management of chloramine residuals in water treatment processes.
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