A time series forecasting based on ARIMA for Minqin value of output related to water resources

Author

Li, Xingdong ; Zhang, Zhengcheng

Author_Institution

Sch. of Math., Phys. & Software Eng., Lanzhou Jiaotong Univ., Lanzhou, China

fYear

2012

fDate

19-21 Oct. 2012

Firstpage

1

Lastpage

4

Abstract

For a long time, how to utilize water resources rationally has influenced Minqin economic, ecological and social benefits. Through analyzing Minqin Value of Output Related to Water Resources from 1956 to 2009, this paper determines the appropriate Auto Regressive Integrated Moving Average model (ARIMA), forecases Minqin Value of Output Related to Water Resource from 2010 to 2015. The results show that the ARIMA model is effective and forecast data can be trusted.

Keywords

autoregressive moving average processes; hydrological techniques; time series; water resources; ARIMA model; Minqin ecological benefit; Minqin economic benefit; Minqin social benefit; Minqin value; autoregressive integrated moving average model; forecast data; time series forecasting; water resources; Analytical models; Biological system modeling; Fitting; Forecasting; Predictive models; Time series analysis; Water resources; ARIMA; forecasting; time series; value of output related to water resources;

fLanguage

English

Publisher

ieee

Conference_Titel

Geomatics for Integrated Water Resources Management (GIWRM), 2012 International Symposium on

Conference_Location

Lanzhou, Gansu

Print_ISBN

978-1-4673-1283-7

Type

conf

DOI

10.1109/GIWRM.2012.6349588

Filename

6349588