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Prediction Model of River Water Quality Time Series Based on ARIMA Model

  • Lina ZhangEmail author
  • Fengjun Xin
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 980)

Abstract

Water quality prediction is one of the main research contents in water quality management. According to the historical data of the monitored water quality factors, the analysis of the laws and predictions is of great significance to water quality early warning. In this paper, the time series prediction method ARIMA was used to analyze and model the water quality factor NH4 concentration in Zhuyi River. The results show that ARIMA has a high degree of accuracy in short-term water quality predictions.

Keywords

Time series analysis Water quality data ARIMA Prediction 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Information and Electrical EngineeringHebei University of EngineeringHandanChina

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