On the fit of statistical and k-C* models to projecting treatment performance in a constructed wetland system
|Title:||On the fit of statistical and k-C* models to projecting treatment performance in a constructed wetland system||Authors:||Babatunde, A.O.
|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 sludge; Constructed wetlands; First-order; Regression analysis; k-C* model||Subject LCSH:||Water treatment plant residuals
|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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