Earticle

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

Abstract
 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

키워드

저자

• Sang-Hyuk Park [ Korea Institute of Civil Engineering and Building Technology, 283, Goyandae-Ro Ilsanseo-Gu, Goyang-Si, Gyeonggi-Do, 411-712, Korea ] Corresponding author
• Jayong Koo [ University of Seoul, Seoulsiripdae-ro 163, Dongdaemun-gu, Seoul, 130-743, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605