Integrated RAGA-PP water demand forecast model (case study: Shaanxi Province, China)

doi:10.2166/WS.2021.034

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	Integrated RAGA-PP water demand forecast model (case study: Shaanxi Province, China)
	Yang, Jun 1,2; Mao, Yanning 1; Ma, Yuqi3 ; Wu, Wei1 ; Bai, Yuan 1,2
	2021-06-01
发表期刊	Water Science and Technology: Water Supply
卷号	21 期号:4 页码:1806-1816
摘要	The demand for water resources in Shaanxi Province increases greatly due to the continuous growth of its population and the rapid development of the social economy. Water demand forecasting is a significant issue in the designing, maintaining and operating of a reliable and economical water supply system. An explicit mathematical method was presented in this study, based on the indicators of industrial output value, such as the gross output value of agriculture, forestry, animal husbandry and fishery. The impact of total retail sales and year trends in the domestic or industrial water demands, can accurately forecast the water demand fluctuations for a municipality. Adopt RAGA-PP optimal selection model through a grouping method of data handling for water demand management to test for the case study Shaanxi, China. Results showed that the prediction effect of multivariate logarithmic model accuracy can reach 99.50%, and it is estimated that the demand for water resources in Shaanxi would exceed 10 billion m3 by 2030. The average relative error of the water consumption from 2015 to 2017 is 3.05% for the model of multiple linear and 0.50% for the model of multivariate logarithm model. Our framework can assist in developing sustainable solutions. © 2021 The Authors.
关键词	Water resources Forecasting Forestry Genetic algorithms Water supply Water supply systems Population statistics Sales Data handling Average relative error Logarithmic models Mathematical method Optimal selection models Sustainable solution Water demand forecasting Water demand forecasts Water Demand Management
DOI	10.2166/WS.2021.034
收录类别	EI
ISSN	1606-9749
语种	英语
出版者	IWA Publishing
EI入藏号	20212710594538
EI主题词	Regression analysis
EI分类号	444 Water Resources ; 446.1 Water Supply Systems ; 723.2 Data Processing and Image Processing ; 821 Agricultural Equipment and Methods ; Vegetation and Pest Control ; 922.2 Mathematical Statistics
原始文献类型	Journal article (JA)
EISSN	1607-0798
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/33413
专题	会计学院后勤处
作者单位	1.Department of Municipal and Environmental Engineering, Lanzhou Jiaotong University, Lanzhou; 730070, China; 2.Key Laboratory of Yellow River Water Environment, Gansu Province, Lanzhou; 730070, China; 3.School of Accounting, Lanzhou University of Finance and Economics, Lanzhou; 730020, China
推荐引用方式 GB/T 7714	Yang, Jun,Mao, Yanning,Ma, Yuqi,et al. Integrated RAGA-PP water demand forecast model (case study: Shaanxi Province, China)[J]. Water Science and Technology: Water Supply,2021,21(4):1806-1816.
APA	Yang, Jun,Mao, Yanning,Ma, Yuqi,Wu, Wei,&Bai, Yuan.(2021).Integrated RAGA-PP water demand forecast model (case study: Shaanxi Province, China).Water Science and Technology: Water Supply,21(4),1806-1816.
MLA	Yang, Jun,et al."Integrated RAGA-PP water demand forecast model (case study: Shaanxi Province, China)".Water Science and Technology: Water Supply 21.4(2021):1806-1816.