Research on Industrial Water Demand Forecasting Model and its Application in China

Qing Rong Zou; Xiu Li Liu

doi:10.4028/www.scientific.net/AMM.675-677.976

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Research on Industrial Water Demand Forecasting Model and its Application in China
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 675-677Research on Industrial Water Demand Forecasting...

Research on Industrial Water Demand Forecasting Model and its Application in China

Abstract:

Industrial water demand forecasting is needed for the effective planning and management of water supply systems. The paper first made impacting factor analysis of industrial water demand. Data analysis showed that there was a converse “U” type relationship between industrial water demand and industrial value added. There was a negative correlation relationship between industrial water demand and the recycling rate of it. With multiple regression method, industrial water demand forecasting model was established. In the supposed scenarios, we applied the model to predict Chinese industrial water demand in 2014 and 2015.The results were 141.04 billion m3 in 2014 and 137.79billion m3 in 2015.

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Periodical:

Applied Mechanics and Materials (Volumes 675-677)

Pages:

976-981

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.675-677.976

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Online since:

October 2014

Authors:

Qing Rong Zou, Xiu Li Liu

Keywords:

Forecast, Industrial Value Added, Industrial Water Demand, Industrial Water Recycling Rate, Multiple Regression

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References

[1] Zhou SL, McMahon TA. Walton A, Lewis:J. Forecasting daily urban water demand: a case study of Melbourne. Vol. 3(2000), pp.153-164.

DOI: 10.1016/s0022-1694(00)00287-0

Google Scholar

[2] Zhang GP. Time series forecasting using a hybrid ARIMA and neural network model. Vol. 50(2003), pp.159-175.

DOI: 10.1016/s0925-2312(01)00702-0

Google Scholar

[3] Renjun Liang, Zhenshan Lin, Lingling Chen. Prediction on the dynamics of water resource demand with the proposal of countermeasures in China. Vol. 6(2005), pp.704-708. (In Chinese).

Google Scholar

[4] Jianjun Song, Qingjie Zhang, Yingqiu Liu. Water demand forecasting for 2020 in China and analysis the level of protection . Vol. 16(2004), pp.35-36 (In Chinese).

Google Scholar

[5] JIA Shaofeng, et al. Relation of industrial water use and economic development: water use Kuznets curve. Vol. 3 (2004), pp.279-284. ( In Chinese).

Google Scholar

[6] World economic outlook [M]. International Money Fund, April, (2014).

Google Scholar