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Arima as a forecasting tool for water quality time series measured with UV-Vis spectrometers in a constructed wetland

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doi: 10.24850/j-tyca-2017-05-09
Authors:Hernández, Nathalie; Camargo, Julio; Moreno, Fredy; Plazas-Nossa, Leonardo; Torres, Andrés
Author Affiliations:Primary:
Pontificia Universidad Javeriana, Grupo de Investigación, Ciencia e Ingeniería del Agua y el Ambiente, Bogota, Colombia
Other:
Universidad Distrital Francisco José de Caldas, Colombia
Volume Title:Tecnología y Ciencias del Agua
Source:Tecnología y Ciencias del Agua, 8(5), p.127-139. Publisher: Instituto Mexicano de Tecnologia del Agua, Jiutepec, Mexico. ISSN: 2007-2422
Publication Date:2017
Note:In English with Spanish summary. 29 refs.; illus., incl. 1 table
Summary:The prediction of water quality plays a crucial role in discussions about urban drainage systems, given that the integrated management of this resource is required in order to meet human needs. The present paper uses Arima (Autoregressive Integrated Moving Average) to predict influent and effluent water quality in a constructed wetland, as well as its pollutant removal efficiency. The wetland is located on the campus of the Pontificia Universidad Javeriana in Bogota, Colombia. Arima prediction values were based on time series obtained with UV-Vis spectrometry probes. These predictions were found to be adequate for the first 12 hours of the water quality time series for the three data sets analyzed: influent, effluent, and efficiency. Overall, none of the data had prediction errors over 15%. In separate analyses of the relative predictive errors in influent and effluent values, they were found to be less significant for UV wavelengths than for the visible range (Vis). In addition, the variability in this type of error was less for the UV range than for the Vis range, which indicates that Arima is a suitable prediction method for analyzing pollutants that fall in the UV range.
Subjects:Constructed wetlands; Decontamination; Discharge; Effluents; Experimental studies; Heavy metals; Pathogens; Pollution; Prediction; Remediation; Spectra; Statistical analysis; Surface water; Time series analysis; Ultraviolet spectra; Urban environment; Water management; Water pollution; Water quality; Water treatment; Wetlands; Bogota Colombia; Colombia; South America; Arima model; Autoregressive Integrated Moving Average model
Coordinates:N043800 N043800 W0740500 W0740500
Record ID:869955-2
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