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Regional Water Demand Prediction and Analysis Based on Cobb-Douglas Model

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  • Qinghua Zhang
  • Yanfang Diao
  • Jie Dong

Abstract

Currently, regional water demand is mainly predicted by prediction models and according to actual water demand time series. However, regional water demand is affected by many factors, and the existing methods neglect dynamic mutual-restriction relation of various water demand influencing factors and influence of these factors on water demand and cannot calculate contribution rate of each factor to water demand. To address this problem, this paper, by adopting Cobb-Douglas production function, has established a regional water demand prediction model based on Cobb-Douglas model, by which the contribution rates of the regional water demand influencing factors can be calculated. It is indicated by example of Zhuhai in China that this proposed model possesses such advantages as simple modeling and high prediction accuracy by comparing with support vector machine and back-propagation neural networks models. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Qinghua Zhang & Yanfang Diao & Jie Dong, 2013. "Regional Water Demand Prediction and Analysis Based on Cobb-Douglas Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 3103-3113, June.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:8:p:3103-3113
    DOI: 10.1007/s11269-013-0335-y
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    References listed on IDEAS

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    1. Dinusha Dharmaratna & Edwyna Harris, 2012. "Estimating Residential Water Demand Using the Stone-Geary Functional Form: The Case of Sri Lanka," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2283-2299, June.
    2. Salvatore Campisi-Pinto & Jan Adamowski & Gideon Oron, 2012. "Forecasting Urban Water Demand Via Wavelet-Denoising and Neural Network Models. Case Study: City of Syracuse, Italy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(12), pages 3539-3558, September.
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    Cited by:

    1. Kebai Li & Tianyi Ma & Tom Dooling & Guo Wei, 2019. "Urban Comprehensive Water Consumption: Nonlinear Control of Production Factor Input Based upon the C-D Function," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    2. Kebai Li & Tianyi Ma & Guo Wei & Yuqian Zhang & Xueyan Feng, 2019. "Urban Industrial Water Supply and Demand: System Dynamic Model and Simulation Based on Cobb–Douglas Function," Sustainability, MDPI, vol. 11(21), pages 1-18, October.

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