원문정보
초록
영어
This research applied the model that simulates the effects of inflow water quality, treatment flow rate and outflow water quality on drinking water treatment plant. The model is not a physical chemistry model. However it can evaluate the performance of sedimentation process as a statistical model. The model used transfer function ARIMA model for the prediction of turbidity on sedimentation reservoir outflow. By using the applied model, performance evaluation was executed according to the control factor per process. Coefficients of determination of the selected model were 0.95 in case of using optimal model for the transfer function model, and predictive results were estimated 0.99. Transfer function ARIMA model can replicate dynamic status of system where it is possible to diagnose system using the model in the perspective of expressing actual operation status.
목차
1. Introduction
2. Methodology
2.1. Model Identification
2.2. Model Estimation and Evaluation
3. Case Study
3.1. Cross Correlation Analysis
3.2. Selecting Optimal Model
3.3. Optimal Model Verification and Prediction
3.4. Sensitivity Analysis of Model
4. Conclusion
Acknowledgements
References