Time series models for forecasting wastewater treatment plant performance

被引：32

作者：

Berthouex, PM

Box, GE

机构：

[1] Dept. of Civ./Environ. Engineering, University of Wisconsin-Madison, Madison

来源：

WATER RESEARCH | 1996年 / 30卷 / 08期

关键词：

ARIMA models; IMA models; EWMA; wastewater treatment; time series models; moving average; forecasts; process upsets;

D O I：

10.1016/0043-1354(96)00063-2

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This article describes a time series modeling procedure that can be useful for calculating predictions, with confidence intervals, of effluent quality 1-5 days ahead, and it explains how these predictions can serve as an early warning of process upsets that will sometimes enable an operator to take preventive action. The time series model has the form of an exponentially weighted moving average (EWMA). The interpretation of the model is that response of the system can be predicted by deviations from the EWMA smoothed values of the predictor variables. Copyright (C) 1996 Elsevier Science Ltd

引用

页码：1865 / 1875

页数：11