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Study on Fractal Growth Characteristics of Flocs in Flocculation Process in Water Treatment

Author: SongJuanJuan
Tutor: NanJun
School: Harbin Institute of Technology
Course: Municipal Engineering
Keywords: Flocculation process Floc morphology Fractal Theory Growth of fractal dimension In situ identification
CLC: TU991.22
Type: Master's thesis
Year: 2009
Downloads: 130
Quote: 4
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Abstract


Flocculation process is one of the most popular key link of the water supply and wastewater treatment process applications, it largely affects the operating conditions of the follow-up process, the final effluent quality and cost, and thus become an important scientific and technological research and development in the environmental engineering fields. Flocculation process, the structure of the floc has been a focus for researchers. Floc are often not easy to loose settlement or easily broken in the actual operation, resulting in the flocculation overall process presented the complex and chaotic, so far formed floc flocculation process and a number of influencing factors in the process of dynamic equilibrium The interaction of the relationship is still a lack of adequate understanding. The emergence of fractal theory to obtain a clearer understanding become possible, and this provides a powerful tool for improving the flocculation process and research flocculation mechanism disorder phenomena in the flocculation process and random morphology. This topic is flocculant polyaluminum chloride (PAC), humic acid organic matter in the water and kaolin suspended particles to remove the object, based on the self-developed water floc morphology in situ identification technology, high pixel digital camera reaction Real-time recording the dynamic flocculation process in constant motion inside the floc particles in situ study of hydraulic conditions change floc morphology and the floc fractal structure of evolution, analysis combined with microscopic floc morphology with macroscopic flocculation effect to more accurate quantitative description and interpretation of the flocculation process, predict flocculation effect. The research results show that the floc self-similarity and scale invariance within a certain range, its structure and its formation process has fractal characteristics. Using velocity gradient decreasing, slow stirring time increments three-stage variable speed the slow stir hydraulic conditions conducive to the formation and growth of the floc, can improve the flocculation effect. G value can be a wide range of adjustment for the water treatment process mechanical flocculator, water quantity and quality to adapt better, but designed to run alone specification or design manual provides empirical data can not be accurately and effectively adjust the stirring speed of the different stages of flocculation the subject combined flocculation process floc formation to long features, come through optimized variable speed slow stir flocculation test analysis: I stall speed and three-stage variable speed slow stir II file slow stirring time for significant factors affecting flocculation effect in the design and operation should be strictly controlled. Residence time and water quality conditions change flocculation effect, shorten the flocculation time to optimize flocculation process designed to seek scientific and effective methods. Conventional image obtained floc fractal dimension numerical representation is poor, fuzzy data law, for the first time put forward the growth of the concept of fractal dimension of the indicators used in the characterization of the the flocculation effect the feasibility study, the results showed that the growth of floc The fractal dimension can be accurately expressed different flocculation conditions floc fractal aggregate changes characteristic under different water conditions and have a good correlation between the residual turbidity, to reflect the changes of flocculation effect can be used to optimize flocculation conditions and to improve flocculation effect, in order to improve water quality and reduce water treatment costs.

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CLC: > Industrial Technology > Building Science > Municipal Engineering > Water supply project ( on the Water Works ) > Clean Water ( water treatment ) > Coagulation
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