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黄河流域能源富集区工业用水驱动机制研究

彭少明 吕鸿 王煜 郑小康 尚文绣

水利学报2026,Vol.57Issue(8):1190-1200,1215,12.
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水利学报2026,Vol.57Issue(8):1190-1200,1215,12.DOI:10.3724/j.slxb.20250196

黄河流域能源富集区工业用水驱动机制研究

Study on the driving mechanism of industrial water use in energy-rich areas of the Yellow River Basin

彭少明 1吕鸿 2王煜 3郑小康 2尚文绣2

作者信息

  • 1. 黄河勘测规划设计研究院有限公司,河南郑州 450003||水利部水利水电规划设计总院,北京 100120||郑州大学水利与交通学院,河南郑州 450001
  • 2. 黄河勘测规划设计研究院有限公司,河南郑州 450003
  • 3. 水利部黄河水利委员会,河南郑州 450003
  • 折叠

摘要

Abstract

Uncovering the driving mechanisms of industrial water use change scientifically is fundamental to accu-rately predicting industrial water demand.Aiming at the current problems of unclear driving mechanisms of industrial water use variation and insufficient theoretical support for water demand forecasting,this paper takes Baotou,Ordos and Yulin-energy-rich cities in the Yellow River Basin-as study areas.Big data mining is employed to construct the correlation network between industrial indicators and water use.A non-parametric deep learning model is estab-lished by coupling PSO-SVM-based dominant factor analysis and symbolic regression algorithm,through which the constitutive equation for industrial water use evolution is constructed and its driving mechanisms are revealed.A dual-driven water demand forecasting framework integrating big data mining and physical mechanisms is proposed,and industrial water demand from 2025 to 2035 is projected.Results show that due to disparities in industrial structure,resource endowment and water resource conditions,the evolution mechanisms of industrial water use in different regions exhibit both industrial commonalities and regional heterogeneities.Industrial added value serves as a common driving indicator with a contribution rate above 0.06,while water resource development utilization rate acts as a common restraining indicator with a contribution rate below-0.06.Under the joint effect of multiple driving factors,the future trends of industrial water demand differ substantially among Baotou,Ordos and Yulin:industrial water demand will decrease by 12.2%in Baotou,while increase by 10.5%and 11.6%in Ordos and Yulin,respectively.

关键词

黄河流域/能源富集区/工业用水/驱动机制/主控因子/本构方程

Key words

Yellow River Basin/energy-rich area/industrial water use/driving mechanism/key factors/intrinsic equation

分类

建筑与水利

引用本文复制引用

彭少明,吕鸿,王煜,郑小康,尚文绣..黄河流域能源富集区工业用水驱动机制研究[J].水利学报,2026,57(8):1190-1200,1215,12.

基金项目

国家自然科学基金项目(52579026,52509039) (52579026,52509039)

中原学者项目(254000510001) (254000510001)

国家重点研发计划课题(2021YFC3200203) (2021YFC3200203)

水利学报

0559-9350

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