Sedimentation Process Modeling using Transfer Function ARIMA for Water Quality Diagnosis and Prediction
نویسندگان
چکیده
This study develops a sedimentation process model that simulate the effects of inflow water quality, treatment flow rate and outflow water quality. The model uses transfer function ARIMA (Auto-Regressive Moving Average) for reflecting the dynamic characteristics of the system The sedimentation model for outflow water turbidity are separated into low and high turbidity by input variables, turbidity, pH, alkalinity and flow rate of raw water, and coagulant is used. Determination coefficients of the optimal model selected 0.92 and 0.97 in case of using optimal model for the transfer function model. In conclusion, predictive results were estimated 0.99 and 0.65, respectively.
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