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Assessing activated sludge morphology and oxygen transfer performance using image analysis.

Ken Campbell1, Jianmin Wang1, Margo Daniels1

  • 1Department of Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology, Rolla, MO, USA.

Chemosphere
|February 26, 2019
PubMed
Summary
This summary is machine-generated.

Microbial morphology significantly impacts activated sludge processes. Specific filament length (SFL) affects treatment and energy efficiency, with longer SFL reducing performance.

Keywords:
Activated sludgeApparent viscosityFloc diameterMorphologyOxygen transfer efficiencySpecific filament length

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Area of Science:

  • Environmental microbiology
  • Wastewater treatment engineering

Background:

  • Microbial community morphology influences activated sludge process performance.
  • Key morphological parameters require accurate quantification for process optimization.

Purpose of the Study:

  • To develop and calibrate an image analysis technique for quantifying microbial morphology in activated sludge.
  • To investigate the impact of specific filament length (SFL) on process performance and energy use.

Main Methods:

  • Development and calibration of an image analysis technique.
  • Measurement of morphological parameters including floc diameter and SFL.
  • Correlation analysis between SFL and performance indicators.

Main Results:

  • SFL significantly impacts sludge floc size, extracellular polymeric substances production, settleability, mixed liquor viscosity, and oxygen transfer efficiency.
  • Increased SFL led to a 67% rise in normalized apparent viscosity and a 29% decrease in oxygen transfer efficiency.
  • Long solids retention time (SRT) reduced SFL, enhancing sludge settling and oxygen transfer.

Conclusions:

  • Microbial morphology, particularly SFL, is a critical factor in activated sludge treatment and energy performance.
  • Image analysis provides a valuable tool for assessing microbial morphology.
  • Optimizing SRT can mitigate negative impacts of high SFL on process efficiency.