黄河流域九省区水资源能源耦合系统研究(Ⅰ):特征解析
作者:
作者单位:

(1.河海大学水灾害防御全国重点实验室,江苏 南京 210098;2.河海大学水文水资源学院,江苏 南京 210098;3.河海大学洪涝灾害风险预警与防控应急管理部重点实验室,江苏 南京 210098;4.长江水利委员会长江水文局,湖北 武汉 430010;5.水利部黄河水利委员会, 河南 郑州 450003;6.水利部水利水电规划设计总院, 北京 100120;7.黄河勘测规划设计研究院有限公司,河南 郑州 450003 )

作者简介:

冯仲恺(1988—),男,教授,博士,主要从事水文水资源研究。E-mail:myfellow@163.com

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基金项目:

国家重点研发计划项目(2022YFC3202300);国家自然科学基金项目(52379009,52441901);江苏省自然科学基金优秀青年基金项目(BK20240189);北京江河水利发展基金会—水利青年科技英才项目(JHYC202310);湖北省自然科学基金三峡联合基金项目(2023AFD203);水灾害防御全国重点实验室自主研究项目(5240152E2)


Water-energy coupling system in nine provinces and autonomous regions of the Yellow River Basin (I):characterization analysis
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Affiliation:

(1.State Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China;2.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China;3.Key Laboratory of Soil and Water Process in Watershed, Hohai University, Nanjing 210098, China;4.Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan 430010,China;5.Yellow River Conservancy Commission, Ministry of Water Resources, Zhengzhou 450003, China;6.General Institute of Water Resources and Hydropower Planning and Design, Ministry of Water Resources, Beijing 100120, China;7.Yellow River Engineering Consulting Co., Ltd., Zhengzhou 450003,China)

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    摘要:

    运用多区域投入产出模型,量化了水资源、能源足迹量及其虚拟流动量,进而构建了基于虚拟资源流动的生态网络模型。利用控制分配系数、芬恩循环指数等指标,解析了黄河流域九省区水资源能源耦合系统复杂特征。结果表明:区域资源足迹与地区人口、经济发展水平密切相关,能源足迹与能源生产量具有较好的空间一致性,而水足迹与水资源禀赋存在失配性;研究区虚拟流转移网络极为复杂,河南、山东等地是虚拟流主要输入地,内蒙古等地则为主要输出地,第一产业、第二产业分别对虚拟水、虚拟能流动影响较大;受产业结构差异与发展水平等因素影响,水资源和能源系统均表现出中上游地区受下游地区控制,同时竞争关系主导了水资源和能源的生态关系;四川、内蒙古第二产业是能源系统关键调控对象,山东第二产业对区域整体产业驱动贡献较大;各省区水资源能源耦合系统的资源循环效率和稳定性均呈增长趋势,其中水资源系统稳定性低于能源系统,应适当优化涉水产业结构以提高风险抵抗能力。

    Abstract:

    The multi-regional input-output model was used to quantify the water and energy footprints and their virtual flows, and an ecological network model based on virtual resource flows was constructed. The complex characteristics of the water-energy coupling system in nine provinces and autonomous regions of the Yellow River Basin were analyzed using indicators such as control allocation index and Finn cycle index. The results indicate that the regional resource footprint is closely related to the population and economic development level of the region. The energy footprint has good spatial consistency with energy production, while there is a mismatch between water footprint and water resource endowment. The virtual flow transfer network in the research area is extremely complex, with Henan, Shandong and other places being the main input areas for virtual flow, and Inner Mongolia and other places being the main output areas. The primary and secondary industries have a significant impact on virtual water and virtual energy flow, respectively. Affected by factors such as differences in industrial structure and development level, both water resources and energy systems show that the upstream and midstream regions are controlled by downstream regions, while competition dominates the ecological relationship between water resources and energy. The secondary industry in Sichuan and Inner Mongolia is a key regulatory target of the energy system, while the secondary industry in Shandong contributes significantly to the overall industrial drive of the region. The resource cycle efficiency and stability of the water resource energy coupling system in the provinces and regions are showing an increasing trend, with the stability of the water resource system being lower than that of the energy system. Therefore, it is necessary to optimize the water related industry structure appropriately to improve risk resistance capabilities.

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冯仲恺,蒋林佚,牛文静,等.黄河流域九省区水资源能源耦合系统研究(Ⅰ):特征解析[J].水资源保护,2025,41(5):160-172.(FENG Zhongkai, JIANG Linyi, NIU Wenjing, et al. Water-energy coupling system in nine provinces and autonomous regions of the Yellow River Basin (I):characterization analysis[J]. Water Resources Protection,2025,41(5):160-172.(in Chinese))

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  • 在线发布日期: 2025-09-21
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