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
文献类型：期刊论文
| 作者 | Tan, Xun1,2; Zeng, Sidong1,2; Chen, Zhong1,2; Lv, Mingquan1,2; Tang, Xiaoya1,2; He, Xingxing3; Chen, Yijun4; Wan, Yong4; Zhang, Jingping5 |
| 刊名 | WATER RESEARCH
 |
| 出版日期 | 2024-03-01 |
| 卷号 | 251页码:13 |
| 关键词 | Sewage and stockpiled sludge Conditioning Filtration Multifactorial coupling Quantitative mode |
| ISSN号 | 0043-1354 |
| DOI | 10.1016/j.watres.2024.121108 |
| 英文摘要 | 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. |
| 资助项目 | National Natural Science Foundation of China[52209134] ; National Natural Science Foundation of China[42207104] ; National Natural Science Foundation of China[52200180] ; Key Special Project of Technology Innovation and Application Development of Chongqing, China[CSTB2023TIAD- KPX0074] ; Chongqing Water Conservancy Science and Technology Project[CQSLK- 2023014] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23040500] |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001169706900001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/40675]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Zeng, Sidong |
| 作者单位 | 1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 2.Univ Chinese Acad Sci, Chongqing Sch, Chongqing 400714, Peoples R China 3.Tsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China 4.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 5.Chongqing Yulanze Environm Protect Technol Co, Chongqing 408000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tan, Xun,Zeng, Sidong,Chen, Zhong,et al. 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[J]. WATER RESEARCH,2024,251:13. |
| APA | Tan, Xun.,Zeng, Sidong.,Chen, Zhong.,Lv, Mingquan.,Tang, Xiaoya.,...&Zhang, Jingping.(2024).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 RESEARCH,251,13. |
| MLA | Tan, Xun,et al."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 RESEARCH 251(2024):13. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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