2004SIA OpenIR (Chinese Academy of Sciences)Requires access

Respirometry Estimations Based Monitoring of Biological Wastewater Treatment Processes

Yuan DC, Fan LP, Yu HB

Open publisher page 0 citations

Abstract

A method is presented to monitor wastewater treatment processes by incorporating multivariable principal component analysis (PCA) with the knowledge of respirometry estimations. Respirometry is the measurement of an activated sludge respiration which reflects the oxygen rate consumed by biomass, and can be estimated from dissolved oxygen concentrations. Because dissolved oxygen concentrations which are available at most plants have the quick response time and easy maintenance, respirometry estimations based monitoring strategy has advantages for the fault detection. The improvement of some fault detection indexes are demonstrated through IWA’s Benchmark simulations.

About this research paper

What this paper is about

A method is presented to monitor wastewater treatment processes by incorporating multivariable principal component analysis (PCA) with the knowledge of respirometry estimations. Respirometry is the measurement of an activated sludge respiration which reflects the oxygen rate consumed by biomass, and can be estimated from dissolved oxygen concentrations. Because dissolved oxygen concentrations which are available at most plants have the quick response time and easy maintenance, respirometry estimations based monitoring strategy has advantages for the fault detection. The improvement of some fault detection indexes are demonstrated through IWA’s Benchmark simulations.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A method is presented to monitor wastewater treatment processes by incorporating multivariable principal component analysis (PCA) with the knowledge of respirometry estimations. Respirometry is the measurement of an activated sludge respiration which reflects the oxygen rate consumed by biomass, and can be estimated from dissolved oxygen concentrations. Because dissolved oxygen concentrations which are available at most plants have the quick response time and easy maintenance, respirometry estimations based monitoring strategy has advantages for the fault detection. The improvement of some fault detection indexes are demonstrated through IWA’s Benchmark simulations.

Key concepts: Respirometry, Respirometer, Wastewater, Activated sludge, Sewage treatment, Principal component analysis, Benchmark (surveying), Respiration

Related papers

Back to paper searchBrowse research topicsOriginal source
Respirometry Estimations Based Monitoring of Biological Wastewater Treatment Processes — Research Paper | ScholarLens