期刊
MARINE GEOLOGY
卷 359, 期 -, 页码 106-119出版社
ELSEVIER
DOI: 10.1016/j.margeo.2014.11.014
关键词
flocculation; cohesive sediments; population balance model; quadrature method of moments; floc size distribution
资金
- Virginia Institute of Marine Science (VIMS) Student Research Grant
- Korea Institute of Ocean Science and Technology (KIOST) [774080]
- China Scholarship Council (CSC) scholarship
- innovation project of science and technology for college graduates of Jiangsu Province, China [CXZZ11_0446]
An enhanced Quadrature Method Of Moments (QMOM) is employed to solve the population balance model (PBM) with a maximum of eight size classes for the purpose of describing the evolution of floc size distribution (FSD) of kaolinite suspension and colloidal montmorillonite. This approach can be used to estimate many representative sizes, e.g., d(32) (Sauter mean size), d(43) (De Broukere mean size), d(60) (hydrodynamic mean size), and D-50 (median size). The following three considerations are adopted to enhance the QMOM approach: (1) An adjustable factor, which is selected based on its ability to track up to eight size classes, is implemented; (2) moments higher than the third order are not necessarily simulated directly; (3) a restriction on the ratio between the minimum and maximum weights is used to exclude unreliable nodes. The above enhancements have been proposed by others, but are integrated for the first time in this study. Model results are verified by comparison with available experimental data. The results of this study suggest that the quadrature nodes and weights in the QMOM are the characteristic sizes and corresponding characteristic number densities to effectively predict the FSD of cohesive sediments. This study also demonstrates that the possible range of the correction factor (also sometimes referred to as collision efficiency) for the Euclidean collision frequency could be larger than one because of both the difference in floc structure represented by fractal dimension as well as the impacts of organic matter. (C) 2014 Elsevier B.V. All rights reserved.
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