Mika Liukkonen
Department of Environmental and Biological Sciences, University of Eastern Finland, Finland
Ekaterina Nikolskaya
Fiber Laboratory, South-Eastern Finland University of Applied Sciences, Finland
Jukka Selin
Fiber Laboratory, South-Eastern Finland University of Applied Sciences, Finland
Yrjö Hiltunen
Fiber Laboratory, South-Eastern Finland University of Applied Sciences, Finland
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http://dx.doi.org/10.3384/ecp17142317Published in: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Linköping Electronic Conference Proceedings 142:46, p. 317-320
Published: 2018-12-19
ISBN: 978-91-7685-399-3
ISSN: 1650-3686 (print), 1650-3740 (online)
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.
independent component analysis, water content, nuclear magnetic resonance, sludge, relaxation decay
