DocumentCode :
2167985
Title :
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
Link To Document :
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