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Tan X, Zeng S, Chen Z, Lv M, Tang X, He X, Chen Y, Wan Y, Zhang J. Synergistic effect of organic matter-floc size-bound water and multifactorial quantitative model of optimal reagent demand in sewage sludge conditioning process prior to dewatering. Water Res 2024; 251:121108. [PMID: 38244300 DOI: 10.1016/j.watres.2024.121108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 12/20/2023] [Accepted: 01/04/2024] [Indexed: 01/22/2024]
Abstract
The high amount of densely hydrated organic substance present in sewage sludge impedes its filterability, thus restricting sludge disposal. Although chemical conditioning can facilitate filtration, the diverse sludge properties complicate the quantitative control of conditioning process. Investigating how to accurately quantify the optimal reagent demand (ORD) based on the critical physicochemical properties of the target sludge is an effective way to address the current issue. This study focused on the sewage and stockpiled sludge with varying properties, and their ORD under different chemical conditioning. The results showed that organic content, floc size, and bound water synergistically influenced conditioning process. The quantitative models were established between their coupling indicators and ORD, with coupling indicators including the ratio of organic content to floc size, the ratio of flow viscosity to floc size, and the ratio of the product of organic content and bound water to floc size. The linear correlation of the coupling indicator with ORD was higher than that of the traditional single-factor indicator. Furthermore, the inherent filterability of the sludge was somewhat separate from the adjustability of its filtration. A "dual-system" impact model was proposed to characterized the conditioning and filtration processes. These results provide theoretical guidance for the quantitative regulation of conditioning and filtration processes of sludge with complex characteristics.
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Affiliation(s)
- Xun Tan
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, PR China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, PR China
| | - Sidong Zeng
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, PR China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, PR China.
| | - Zhong Chen
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, PR China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, PR China
| | - Mingquan Lv
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, PR China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, PR China
| | - Xiaoya Tang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, PR China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, PR China
| | - Xingxing He
- State Key Laboratory of Hydro-science and Engineering, Tsinghua University, Beijing 100084, PR China
| | - Yijun Chen
- State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, PR China
| | - Yong Wan
- State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, PR China
| | - Jingping Zhang
- Chongqing Yulanze Environmental Protection Technology Co, Chongqing, 408000, PR China
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