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

Files in This Item:
File Description SizeFormat 
8-JESH(A)_R1_F.pdf428.23 kBAdobe PDFDownload
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

Show full item record

SCOPUSTM   
Citations 50

6
Last Week
0
Last month
checked on Oct 19, 2018

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.