Water demand forecasting in Qinzhou, China

Author

Zeng, Mengxiu ; Song, Yougui

Author_Institution

Inst. of Earth Environ., Chinese Acad. of Sci., Xi´an, China

Volume

1

fYear

2011

Firstpage

779

Lastpage

782

Abstract

The water demand from 2010 to 2018 in Qinzhou has been forecasted using a new model based on the combinations of grey forecasting model GM(1,1) and Auto Regressive Moving Average(ARMA) model. The predicted results indicate that total water demand, industrial water demand and domestic water demand will increase, and agricultural water demand decreases gradually. However, the agricultural consumption is still dominant in the future. The trend of total water demand is similar to that of industrial water demand, and in some extent we can assess the trend of total water demand based on industrial water demand.

Keywords

autoregressive moving average processes; environmental management; hydrology; water resources; water supply; AD 2010 to 2018; ARMA model; China; Qinzhou; agricultural water demand; autoregressive moving average model; domestic water demand; grey forecasting model; industrial water demand; total water demand; water demand forecasting; Accuracy; Adaptation model; Correlation; Data models; Forecasting; Predictive models; Water resources; ARMA model; GM (1, 1); Qinzhou; time series; water demand forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Water Resource and Environmental Protection (ISWREP), 2011 International Symposium on

Conference_Location

Xi´an

Print_ISBN

978-1-61284-339-1

Type

conf

DOI

10.1109/ISWREP.2011.5893123

Filename

5893123