DocumentCode :
510108
Title :
Application of System Dynamics in the Forecasting Water Resources Demand in Tianjin Polytechnic University
Author :
Zhai, Chunjian ; Zhang, Hongwei ; Zhang, Xuehua
Author_Institution :
Tianjin Polytech. Univ., Tianjin, China
Volume :
1
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
273
Lastpage :
276
Abstract :
Accurate prediction of water resources demand plays an important role in the system which integrates water resources management promotes and balance efficiency and allocation of water demand. This article introduces the ITHINK software for the forecasting water resources demand. System Dynamics is a brand-new subject on the basis of operation research, system theory, cybernetics, information feedback theory, decision theory and computer science. The model which is proposed in this article is dominated by three stocks, five flows and thirty-one converters. As regards Tianjin polytechnic university, the model is developed for predicting the tendency of the planning years, based on analysis of water resources. The practical verification showed this method forecast relative error was lower than 5%. Thus the predicting outcome showed that System dynamics forecasting result can offer accurate quantitative information to water resources management system. And that proved that System Dynamics method was an available tool for resources plan.
Keywords :
computer software; environmental management; forecasting theory; water resources; ITHINK software; Tianjin polytechnic university; system dynamics application; water resources demand forecasting; water resources management system; Application software; Computer science; Cybernetics; Decision theory; Demand forecasting; Feedback; Operations research; Predictive models; Resource management; Water resources; ITHINK; System Dynamics; forecast; mathematic; resources demand;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
Type :
conf
DOI :
10.1109/AICI.2009.272
Filename :
5376130
Link To Document :
بازگشت