Journal
JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH PART A-TOXIC/HAZARDOUS SUBSTANCES & ENVIRONMENTAL ENGINEERING
Volume 46, Issue 5, Pages 490-499Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/10934529.2011.551729
Keywords
Alum sludge; constructed wetlands; first-order; k-C* model; regression analysis
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Funding
- Enterprise Ireland [PC/2007/0308]
- Irish state Department of Agriculture, Fisheries and Food [07-528]
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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/m(2).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.
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