利用核磁共振弛豫数据和独立成分分析污泥含水量

M. Liukkonen, E. Nikolskaya, J-F Selin, Y. Hiltunen
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引用次数: 0

摘要

在污水处理中,污泥脱水是最重要的步骤之一,因为它在很大程度上影响着污泥处理的过程经济和成本。为了优化脱水过程,了解污泥中存在的不同水类型将是有益的。除自由水外,污泥中一般还存在机械、物理和化学结合水。所有这些类型的水在污泥干燥时表现不同,它们在被去除时都需要不同的能量。在本研究中,独立成分分析(ICA)方法已被应用于分析从具有已知水分含量的废水污泥样品的测量中获得的NMR(核磁共振)弛豫数据。结果强烈表明,ICA方法可用于确定废水污泥中不同水类型的数量,而无需先验地了解其份额。
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Water Content Analysis of Sludge using NMR Relaxation Data and Independent Component Analysis
In wastewater treatment, the dewatering of sludge is one of the most important steps, because it affects largely in both the process economics and the costs of sludge disposal. To optimize the dewatering processes, it would be beneficial to be aware of the different water types present in the sludge. In addition to free water, generally there are also mechanically, physically and chemically bound water within the sludge. All these water types behave differently when the sludge is dried, and they all require a different amount of energy when being removed. In this study, the Independent Component Analysis (ICA) method has been applied to an analysis of NMR (Nuclear Magnetic Resonance) relaxation data obtained from the measurement of wastewater sludge samples with a known moisture content. The results strongly suggest that the ICA method can be used for determining the amount of different water types within the wastewater sludge without a priori knowledge on their shares.
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