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Volume 39 Issue 6
Jan.  2022
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Article Navigation >  ENVIRONMENTAL ENGINEERING  > 2021  >  39(6): 49-54
XUE Tong-lai, ZHAO Dong-hui, HAN Fei. SVR WATER QUALITY PREDICTION MODEL BASED ON GA OPTIMIZATION[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(3): 123-127. doi: 10.13205/j.hjgc.202003021
Citation: ZHU Yu-ting, FENG Wei, WU Yi-quan, XIA Yi-jun, CHEN Gui-qian, JORDAN Schmidt. CORRELATION ANALYSIS AMONG ATP, BIOLOGICAL STRESS INDEX AND COMMON INDICES IN ACTIVATED SLUDGE PROCESS, ILLUSTRATED BY A CASE OF TREATMENT FACILITIES IN A FINE CHEMICAL FACTORY[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(6): 49-54. doi: 10.13205/j.hjgc.202106008
shu

CORRELATION ANALYSIS AMONG ATP, BIOLOGICAL STRESS INDEX AND COMMON INDICES IN ACTIVATED SLUDGE PROCESS, ILLUSTRATED BY A CASE OF TREATMENT FACILITIES IN A FINE CHEMICAL FACTORY

doi: 10.13205/j.hjgc.202106008

  • 1. Tongji Architectural Design(Group) Co., Ltd, Shanghai 200092, China;

  • 2. WeTest Environmental Technology(Shanghai) Co., Ltd, Shanghai 201900, China;

  • 3. LuminUltra Technologies Ltd, Fredericton, New Brunswick E3 B6 G3, Canada

  • Received Date: 2020-07-27
    Available Online: 2022-01-18
    Abstract
  • In this paper, the concentration of Adenosine Triphosphate(ATP) in the aerobic tank from a biological wastewater treatment process, in addition to conventional operation indicators, was monitored at a fine chemical factory in Jiangsu Province, China. And then, biological stress index(BSI) was calculated based on the ATP data. Correlations among ATP, BSI and other conventional activated sludge indicators were investigated by using Spearman correlation coefficient method. Furthermore, the feasibility of using ATP and BSI to evaluate and predict the operation status of biochemical treatment process was explored by using locally estimated scatterplot smoothing(LOESS) method. The results showed that cATP was correlated with MLSS at a significance level of 0.01, and the Spearman correlation coefficient between them was 0.622. BSI can be used as an early warning indicator for sludge bulking, and the fluctuation of BSI was significantly correlated to COD loading, carbon-nitrogen ratio, SV30, and SVI. The LOESS curve showed that BSI can be used as an early prediction for the trend of SVI and SV30 with a 14-days lead. The analysis suggested that maintaining a relative low level of BSI(<20%) can be used in practice as a control line to evaluate the status of the activated sludge process.
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