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Wastewater COD characterization: RBCOD and SBCOD characterization analysis methods.

Jingbing Zhang1, Yuting Shao1, Guohua Liu1

  • 1Research Center for Low Carbon Technology of Water Environment, School of Environment and Natural Resource, Renmin University of China, Beijing, 100872, China.

Scientific Reports
|January 13, 2021
PubMed
Summary
This summary is machine-generated.

This study proposes an effective respirometry method for characterizing wastewater's biodegradable organic matter. The method accurately determines rapidly biodegradable (RBCOD) and slowly biodegradable (SBCOD) components, aiding wastewater treatment plant optimization.

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Area of Science:

  • Environmental Science
  • Environmental Engineering
  • Water Treatment Technologies

Background:

  • Wastewater characterization is crucial for designing and optimizing wastewater treatment plants (WWTPs).
  • Understanding biodegradable organic matter is key to efficient treatment processes.
  • Respirometry offers a method to evaluate these organic components.

Purpose of the Study:

  • To comprehensively study the respirometry method for evaluating biodegradable organic matter in wastewater.
  • To propose an adequate wastewater COD characterization method for RBCOD and SBCOD.
  • To support effective process design, diagnosis, and operational management of WWTPs.

Main Methods:

  • Determining the optimal initial substrate to biomass ratio (S0/X0).
  • Obtaining degradation curves for COD components (RBCOD and SBCOD) under optimal conditions.
  • Utilizing the Mann-Kendall test to identify endogenous respiration levels (t2) and a hydrolysis model for SBCOD degradation stages (t1).

Main Results:

  • The optimal S0/X0 ratio was confirmed for accurate respirometry.
  • Degradation curves for RBCOD and SBCOD were successfully obtained.
  • Key time points (t1 and t2) for SBCOD degradation and endogenous respiration were identified.

Conclusions:

  • A robust wastewater COD characterization method for RBCOD and SBCOD has been proposed.
  • The study provides strong support for effective and feasible process design and optimization in WWTPs.
  • The findings contribute to refined and stable operational management of wastewater treatment facilities.