Forecasting influent flow rate and composition with occasional data for supervisory management system by time series model

Water Science and Technology

Volumn 53, Issue 4-5, 2006, Pages 185-192

  Kim, Jong R ^a   Ko, Jooh H ^b   Im, J H ^a   Lee, S H ^a   Kim, S H ^a   Kim, C W ^a   Park, Tae Joo ^a  

^a Pusan National University   (South Korea)

^b POSCO   (South Korea)

Author keywords

ARIMA; Influent forecasting; Supervisory management system; Time series model

Indexed keywords

AMMONIUM COMPOUNDS; CHEMICAL OXYGEN DEMAND; COMPOSITION; FLOW OF FLUIDS; FORECASTING; INTERPOLATION; MATHEMATICAL MODELS; TIME SERIES ANALYSIS;

INFLUENT FORECASTING; SUPERVISORY MANAGEMENT SYSTEM; TIME SERIES MODEL;

WASTEWATER TREATMENT;

AMMONIA; PHOSPHATE;

AMMONIUM COMPOUNDS; CHEMICAL OXYGEN DEMAND; COMPOSITION; FLOW OF FLUIDS; FORECASTING; INTERPOLATION; MATHEMATICAL MODELS; TIME SERIES ANALYSIS; WASTEWATER TREATMENT;

CONTROL SYSTEM; FLOW MEASUREMENT; FORECASTING METHOD; NUMERICAL MODEL; TIME SERIES ANALYSIS; WASTEWATER; WATER TREATMENT;

ARTICLE; CHEMICAL COMPOSITION; CHEMICAL OXYGEN DEMAND; CONTROL SYSTEM; CONTROLLED STUDY; FEASIBILITY STUDY; FLOW RATE; FORECASTING; PROCESS MODEL; RELIABILITY; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; TIME SERIES ANALYSIS; VALIDATION PROCESS; WASTE WATER MANAGEMENT; WASTE WATER TREATMENT PLANT;

FORECASTING; MODELS, THEORETICAL; PHOSPHATES; QUATERNARY AMMONIUM COMPOUNDS; REPRODUCIBILITY OF RESULTS; TEMPERATURE; WASTE DISPOSAL, FLUID; WATER MOVEMENTS;

EID: 33646722123     PISSN: 02731223     EISSN: None     Source Type: Book Series    
DOI: 10.2166/wst.2006.123     Document Type: Article

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