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Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

An integrated performance assessment framework for water treatment plants.

Kejiang Zhang¹, Gopal Achari, Rehan Sadiq

¹Department of Civil Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB, Canada.

|January 17, 2012

Summary

This study introduces a new framework for assessing water treatment plant performance using reliability, robustness, and Quantitative Microbial Risk Assessment (QMRA). The framework helps ensure safe drinking water by evaluating multiple treatment barriers under varying conditions.

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Area of Science:

Environmental Engineering
Water Treatment Technologies
Public Health

Background:

Traditional water treatment plants (WTPs) require robust performance assessment methods.
Evaluating the reliability and robustness of treatment units is crucial for ensuring water safety.
Quantitative Microbial Risk Assessment (QMRA) provides a health-based approach to water quality management.

Purpose of the Study:

To present an innovative framework for WTP performance assessment.
To integrate reliability, robustness, and QMRA into a unified performance evaluation system.
To assess the performance of a three-unit WTP under variable conditions.

Main Methods:

Developed performance functions for coagulation/flocculation, sedimentation, and filtration units using turbidity robustness indices.
Created a performance function for chlorine disinfection based on achieved versus required CT values.
Established a health-based performance function comparing target and site-specific daily infection rates.

Main Results:

The proposed framework successfully assessed the performance of individual and combined treatment units.
Health-based performance functions identified whether targets were met during unit failures.
The integrated approach provides a comprehensive view of WTP performance.

Conclusions:

The developed framework enables operators to ensure multiple barriers function effectively under dynamic conditions.
This approach enhances the reliability and safety of drinking water treatment.
The integration of QMRA provides a critical health-based perspective on WTP performance.