Title :
Water demand forecasting in Qinzhou, China
Author :
Zeng, Mengxiu ; Song, Yougui
Author_Institution :
Inst. of Earth Environ., Chinese Acad. of Sci., Xi´an, China
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;
Conference_Titel :
Water Resource and Environmental Protection (ISWREP), 2011 International Symposium on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-339-1
DOI :
10.1109/ISWREP.2011.5893123
