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On the fit of statistical and the k-C* models to projecting treatment performance in a constructed wetland system

Babatunde, Akintunde, Zhao, Y. Q., Doyle, R. J., Rackard, S. M., Kumar, J. L. G. and Hu, Y. S. 2011. On the fit of statistical and the k-C* models to projecting treatment performance in a constructed wetland system. Journal of Environmental Science and Health, Part A: Toxic/Hazardous Substances and Environmental Engineering 46 (5) , pp. 490-499. 10.1080/10934529.2011.551729

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Abstract

The objective of this study was to assess the suitability of statistical and the k-C* models to projecting treatment performance of constructed wetlands by applying the models to predict the final effluent concentrations of a pilot field-scale constructed wetlands system (CWs) treating animal farm wastewater. The CWs achieved removal rates (in g/m2.d) ranging from 7.1–149.8 for BOD5, 49.8–253.8 for COD and 7.1–47.0 for NH4-N. Generally, it was found that the statistical models developed from multiple regression analyses (MRA) were stronger in predicting final effluent concentrations than the k-C* model. However, both models were inadequate in predicting the final effluent concentrations of NO3-N. The first-order area-based removal rate constants (k, m/yr) determined from the experimental data were 200.5 for BOD5, 80.1 for TP and 173.8 for NH4-N and these indicate a high rate of pollutant removal within the CWs.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TD Environmental technology. Sanitary engineering
Uncontrolled Keywords: Alum sludge; constructed wetlands; first-order; k-C* model; regression analysis
Publisher: Taylor & Francis
ISSN: 1093-4529
Last Modified: 04 Jun 2017 04:19
URI: http://orca-mwe.cf.ac.uk/id/eprint/36868

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