DocumentCode
3240487
Title
Combined forecasting model of urban water demand under changing environment
Author
Xu Yin-shan ; Mei Ya-dong ; Yong Ting
Author_Institution
State Key Lab. of Water Resources & Hydropower Eng. Sci., Wuhan Univ., Wuhan, China
fYear
2011
fDate
22-24 April 2011
Firstpage
1103
Lastpage
1107
Abstract
The influence of climate change on water consumption under changing economic background has always been kept a important issue by global research institute. Taking Dongguan city as a study object, the influence factors of water requirement are divided into climate factor economic factor and social factor. Water demand forecasting models are established on different influence factors to analyze the response relationship between various influence factors and water demand. Optimum influence factors are chosen on this basis, and water demand forecasting models are established through applying various methods. Least squares(LS) combination forecasting technology is adopted to integrate the results of different forecasting models. The situation and reasons of water demand changes of Dongguan city are proclaimed, the variation tendency of water demand is revealed, and a theoretical foundation for Dongguan City water resources management is provided.
Keywords
environmental management; forecasting theory; least squares approximations; water resources; Dongguan city; climate change; climate factor; economic background; economic factor; forecasting model; least squares combination forecasting technology; social factor; urban water demand; water consumption; water resources management; Accuracy; Biological system modeling; Cities and towns; Forecasting; Predictive models; Support vector machines; Water resources; artificial neural network; least squares combination forecasting technology; support vector machines; urban water demand;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Technology and Civil Engineering (ICETCE), 2011 International Conference on
Conference_Location
Lushan
Print_ISBN
978-1-4577-0289-1
Type
conf
DOI
10.1109/ICETCE.2011.5775448
Filename
5775448
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