Analysis of the influence of HiCS operating conditions on bioflocculation based on grey system theory

With the advancement of the “dual carbon” policy, the high-load contact stabilization (HiCS) process technology has attracted much attention because of its efficient carbon source capture and carbon redirection capabilities. However, the factors affecting extracellular polymers’ concentration and composition changes are complex, and their mechanism of action and correlation are unclear. This article uses grey relational analysis (GRA) from grey system theory (GST) to analyze the impact of HiCS process operating conditions on biological flocculation. Total EPS concentration, PN/PS ratio, and LB/TB ratio were used as reference sequences, while SRT, ts, tc/ts, DO, and SLR were used as comparison sequences. The results show that the effect of each factor on total EPS concentration was ts > SLR > tc/ts > SRT > DO; the effect on PN/PS ratio was ts > SRT > SLR > tc/ts > DO; and the effect on LB/TB ratio was SLR > ts > SRT > DO. In this paper, the influence of various factors on bio-flocculation-related indicators is expounded, which provides a reference for further optimizing the operating conditions of the flocculant process.

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Journal
E3S Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/e3sconf/202562503011
Primary Topic
Hydrological Forecasting Using AI
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article
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article

Analysis of the influence of HiCS operating conditions on bioflocculation based on grey system theory

Shuangyuan Ma, Xingguan Ma
E3S Web of Conferences
Hydrological Forecasting Using AI
article

Analysis of the influence of HiCS operating conditions on bioflocculation based on grey system theory

Shuangyuan Ma, Xingguan Ma
article en

Abstract

With the advancement of the “dual carbon” policy, the high-load contact stabilization (HiCS) process technology has attracted much attention because of its efficient carbon source capture and carbon redirection capabilities. However, the factors affecting extracellular polymers’ concentration and composition changes are complex, and their mechanism of action and correlation are unclear. This article uses grey relational analysis (GRA) from grey system theory (GST) to analyze the impact of HiCS process operating conditions on biological flocculation. Total EPS concentration, PN/PS ratio, and LB/TB ratio were used as reference sequences, while SRT, ts, tc/ts, DO, and SLR were used as comparison sequences. The results show that the effect of each factor on total EPS concentration was ts > SLR > tc/ts > SRT > DO; the effect on PN/PS ratio was ts > SRT > SLR > tc/ts > DO; and the effect on LB/TB ratio was SLR > ts > SRT > DO. In this paper, the influence of various factors on bio-flocculation-related indicators is expounded, which provides a reference for further optimizing the operating conditions of the flocculant process.

E3S Web of ConferencesVol. 625
Anhui and Huaihe River Institute of Hydraulic Research (CN), Shenyang Jianzhu University (CN)
Openalex Percentile: Top 93%
Hydrological Forecasting Using AI
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Analysis of the influence of HiCS operating conditions on bioflocculation based on grey system theory — Shuangyuan Ma, Xingguan Ma · E3S Web of Conferences (2025) | TGRS Research Map | TGRS