Journal
WATER SCIENCE AND TECHNOLOGY
Volume 69, Issue 5, Pages 1101-1107Publisher
IWA PUBLISHING
DOI: 10.2166/wst.2014.011
Keywords
absorbance; forecast; Fourier transform; principal component analysis; UV-Vis sensor
Funding
- Bogota Water and Sewage Company (Empresa de Acueducto y Alcantarillado de Bogota - EAAB) [9-07-25100-0763-2010]
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The objective of this work is to introduce a forecasting method for UV-Vis spectrometry time series that combines principal component analysis (PCA) and discrete Fourier transform (DFT), and to compare the results obtained with those obtained by using DFT. Three time series for three different study sites were used: (i) Salitre wastewater treatment plant (WWTP) in Bogota; (ii) Gibraltar pumping station in Bogota; and (iii) San Fernando WWTP in Itagui (in the south part of Medellin). Each of these time series had an equal number of samples (1051). In general terms, the results obtained are hardly generalizable, as they seem to be highly dependent on specific water system dynamics; however, some trends can be outlined: (i) for UV range, DFT and PCA/DFT forecasting accuracy were almost the same; (ii) for visible range, the PCA/DFT forecasting procedure proposed gives systematically lower forecasting errors and variability than those obtained with the DFT procedure; and (iii) for short forecasting times the PCA/DFT procedure proposed is more suitable than the DFT procedure, according to processing times obtained.
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