The Journal of
the Korean Society on Water Environment

The Journal of
the Korean Society on Water Environment

Bimonthly
  • ISSN : 2289-0971 (Print)
  • ISSN : 2289-098X (Online)
  • KCI Accredited Journal

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  3. 2017-03 (Vol. 33, No. 2)
  4. 10.15681/KSWE.2017.33.2.140
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1 
Carrasco I.J, Chang S.Y, 2005, Random Monte Carlo Simulation Analysis and Risk Assessment for Ammonia Concentrations in Wastewater Effluent Disposal, Stochastic Environmental Research and Risk Assessment, Stochastic Environmental Research and Risk Assessment, Vol. 19, No. 2, pp. 134-145DOI
2 
Cosenza G, Mannina G, Viviani G, 2009, Parameter Estimation and Sensitivity Analysis of a Nitrogen and Phosphorus Biological Removal Model, Modelling and Simulation Society of Australia and New Zealand Inc, pp. 3151-3157
3 
Gernaey K.V, Loosdrecht M.C.M, Henze M, Lind M, Jørgensen B, 2004, Activated Sludge Wastewater Treatment Plant Modelling and Simulation: State of the Art, Environmental Modelling & Software, Vol. 19, No. 9, pp. 763-783DOI
4 
Henze M, Gujer W, Mino T, van Loosdrecht M, 2000, Activated sludge models ASM1, ASM2, ASM2D and ASM3, IWA Scientific and Technical Report No.9, IWA Publishing, pp. 54Google Search
5 
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6 
Henryk M, 2014, Methods for Wastewater Characterization in Activated Sludge Modelling, WERF Research Report Series, IWA PublishingGoogle Search
7 
Jeppson U, 1996, Modeling Aspects of Wastewater Treatment Process, Ph.D Thesis, Dept. of Industrial Electrical Engineering and Automation, Lund Institute of Technology
8 
Lee J.Y, Park C.H, Oh H.M, Shin D.C, Lee M.H, Eom S.W, 2010, Studyon the Characteristics of the Effluent from Municipal Wastewater Treatment Plants in Seoul, [Korean Literature], Report of Research Institute on Public Health and Environment, Vol. 46, pp. 117-124Google Search
9 
Lee T.H, Park M.H, Lee B, Hur J, Yang H.J, 2009, Effects of the Characteristics of Influent Wastewater on Removal Efficiencies for Organic Matters in Wastewater Treatment Plants, [Korean Literature], Journal of Korean Society on Water Environment, Vol. 25, No. 5, pp. 674-681Google Search
10 
Metcalf and Eddy, 2014, Wastewater Engineering: Treatment and Resource Recovery, McGraw-Hill
11 
Moon T.S, Choi J.H, Kim S.H, Cha J.H, Yoom H.S, Kim C.W, 2008, Prediction of Influent Flow Rate and Influent Components using Artificial Neural Network (ANN), [Korean Literature], Journal of Korean Society on Water Environment, Vol. 24, No. 1, pp. 91-98Google Search
12 
National Institute of Environmental Research (NIER), 2012, [Korean Literature], Water Quality Prediction and Assessment Using Bayesian Linear Regression, 11-1480523-001308-01, National Institute of Environmental Research: Water Quality Control Center, pp. 3-10
13 
Pak G.J, Jung M.J, Lee H.S, Kim D.W, Yoon J.Y, Paik K.R, 2012, Statistical Characteristics and Stochastic Modeling of Water Quality Data at the Influent of Daejeon Wastewater Treatment Plant, [Korean Literature], Journal of Korean Society on Water Environment, Vol. 28, No. 1, pp. 39-49Google Search
14 
Rieger L, Gillot S, Langergraber G, Ohtsuki T, Shaw A, Takacs I, Winkler S, 2013, Guidelines for Using Activated Sludge Models, IWA Publishing
15 
Shioya S, Shimizu K, Yoshida T, 1999, Knowledgebased Design and Operation of Bioprocess systems, Journal of Bioscience and Bioengineering, Vol. 87, No. 3, pp. 261-266DOI
16 
Takács I, Patry G.G, Nolasco D, 1991, A Dynamic Model of the Clarification, Water Research, Vol. 25, No. 10, pp. 1263-1271DOI
17 
William S, Gonwa P.E, Harris L, Byers Brandon, Koltz Symbiont, 2008, Using Full Factorial Analysis to Enhance Water Quality Monitoring Programs, pp. 181-197
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