An artificial neural network model and design equations for BOD and COD removal prediction in horizontal subsurface flow constructed wetlands
Authors:
- Christos S. AkratosChristos S. Akratos
- John N.E. PapaspyrosJPJohn N.E. Papaspyros
- Vassilios A. TsihrintzisVTVassilios A. Tsihrintzis
- 1 September 2008
- journal article
- Published by Elsevier in Chemical Engineering Journal
- Vol. 143 (1-3) , 96-110
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- Groundwater Level Forecasting in a Shallow Aquifer Using Artificial Neural Network ApproachWater Resources Management, 2006
- Model-based design of horizontal subsurface flow constructed treatment wetlands: a reviewWater Research, 2004
- Annual cycle of nitrogen removal by a pilot-scale subsurface horizontal flow in a constructed wetland under moderate climateWater Research, 2003
- Treatment of domestic wastewater by subsurface flow constructed wetlands in JordanDesalination, 2003
- Integration of data mining techniques and heuristic knowledge in fuzzy logic modelling of eutrophication in Taihu LakeEcological Modelling, 2003
- PERFORMANCE VARIATIONS OF COD AND NITROGEN REMOVAL BY VEGETATED SUBMERGED BED WETLANDSJawra Journal of the American Water Resources Association, 2002
- The use of sub-surface constructed wetlands for wastewater treatment in the Czech Republic: 10 years experienceEcological Engineering, 2002
- Efficiency of small constructed wetlands for subsurface treatment of single-family domestic effluentEcological Engineering, 2002
- Spatial and temporal trends of sea surface temperature in the northwest African regionOceanologica Acta, 1999
- Constructed wetlands in Queensland: Performance efficiency and nutrient bioaccumulationEcological Engineering, 1999