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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.
Tan, Xun; Zeng, Sidong; Chen, Zhong; Lv, Mingquan; Tang, Xiaoya; He, Xingxing; Chen, Yijun; Wan, Yong; Zhang, Jingping.
Afiliación
  • Tan X; 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.
  • Zeng S; 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. Electronic address: zengsidong@cigit.ac.cn.
  • Chen Z; 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.
  • Lv M; 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.
  • Tang X; 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.
  • He X; State Key Laboratory of Hydro-science and Engineering, Tsinghua University, Beijing 100084, PR China.
  • Chen Y; State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, PR China.
  • Wan Y; State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, PR China.
  • Zhang J; Chongqing Yulanze Environmental Protection Technology Co, Chongqing, 408000, PR China.
Water Res ; 251: 121108, 2024 Mar 01.
Article en En | MEDLINE | ID: mdl-38244300
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aguas del Alcantarillado / Agua Tipo de estudio: Prognostic_studies Idioma: En Revista: Water Res Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aguas del Alcantarillado / Agua Tipo de estudio: Prognostic_studies Idioma: En Revista: Water Res Año: 2024 Tipo del documento: Article