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Volume 43 Issue 6
Jun.  2025
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FAN Mingyang, BIAN Huichang, YANG Yankun, WANG Shuo. Chemical dosing strategy for sludge deep dewatering based on a linear regression model[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(6): 34-40. doi: 10.13205/j.hjgc.202506004
Citation: FAN Mingyang, BIAN Huichang, YANG Yankun, WANG Shuo. Chemical dosing strategy for sludge deep dewatering based on a linear regression model[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(6): 34-40. doi: 10.13205/j.hjgc.202506004

Chemical dosing strategy for sludge deep dewatering based on a linear regression model

doi: 10.13205/j.hjgc.202506004
  • Received Date: 2024-12-27
  • Accepted Date: 2025-02-17
  • Rev Recd Date: 2025-02-07
  • This research focuses on four types of sludge collected from three wastewater treatment plants in Wuxi. An analysis was conducted on the sludge quality indicators resulting from diverse wastewater treatment methodologies, and an investigation was undertaken into the impact of varying chemical dosage proportions on sludge dewaterability. The findings indicated that the key factors affecting sludge dewatering performance were sludge solid content, protein and polysaccharide contents in extracellular polymeric substances (EPS), and sludge specific resistance to filtration (SRF). Based on a uniform experimental design and a linear regression model, a linear relationship was established between the dosage of chemicals and the capillary suction time (CST), organic matter content, and solid content of sludge. The model validation results showed that within the range of the dosage ratio (lime: 13% to 25%; PAM: 1‰ to 9‰), the standard error of the equation was below 1.5, indicating good applicability of this model. This study provides a rigorous scientific basis for the application of sludge dewatering agents, thereby enhancing dewatering efficiency, reducing treatment costs, and promoting sustainable sludge management and disposal practices.
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