Nanjing University

Xuxiang Zhang

Lin Ye

Hongqiang Ren

Kailong Huang

Zirui Yin

Yiheng Qiao

Ruoxuan Bian

Disclosed is a method for predicting aeration quantity required to maintain a stable dissolved oxygen concentration in an activated sludge system, including measuring operating parameters of a biochemical tank of a wastewater treatment plant at intervals of a ttime period over a certain period of time; replacing the DO concentration data with DO concentration data after a ttime period from the time of measurement; filtering the DO concentration data after being replaced to form a dataset; building a random forest model, and building a machine learning matrix using data in the dataset to train the random forest model; evaluating prediction performance of the trained random forest model; and using the trained random forest model to predict an aeration airflow rate required to achieve the target DO concentration value after the ttime period, thereby adjusting an aeration airflow rate.

Method for predicting aeration quantity required to maintain stable dissolved oxygen concentration in activated sludge system

The present invention discloses astrain, namedEBT-2, which was deposited in China Center for Type Culture Collection under Deposit No. CCTCC M 2019731 on Sep. 17, 2019. The present invention also discloses a composite microbial inoculum which is prepared by mixing an expanded culture solution of aEBT-1 with Deposit No. CCTCC M 2019730 and an expanded culture solution of theEBT-2 with Deposit No. CCTCC M 2019731 in a volume ratio of 1:1. The present invention finally discloses use of the composite microbial inoculum in treating membrane concentrate of landfill leachate. The composite microbial inoculum is capable of implementing high-efficiency biological denitrification of the membrane concentrate of landfill leachate.

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Jiangsu, China

Xuxiang Zhang