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

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Title: On the fit of statistical and k-C* models to projecting treatment performance in a constructed wetland system
Authors: Babatunde, A.O.
Zhao, Y.Q.
Doyle, R.J.
Rackard, S.M.
Kumar, J.L.G.
Hu, Y.S.
Permanent link: http://hdl.handle.net/10197/3111
Date: Apr-2011
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.
Funding Details: Other funder
Type of material: Journal Article
Publisher: Taylor & Francis
Journal: Journal of Environmental Science and Health, Part A
Volume: 46
Issue: 5
Start page: 490
End page: 499
Copyright (published version): Taylor & Francis Group, LLC
Keywords: Alum sludgeConstructed wetlandsFirst-orderRegression analysisk-C* model
Subject LCSH: Water treatment plant residuals
Constructed wetlands
Regression analysis
DOI: 10.1080/10934529.2011.551729
Other versions: http://dx.doi.org/10.1080/10934529.2011.551729
Language: en
Status of Item: Peer reviewed
Appears in Collections:Urban Institute Ireland Research Collection
Critical Infrastructure Group Research Collection
Civil Engineering Research Collection

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