长江科学院院报 ›› 2021, Vol. 38 ›› Issue (12): 19-24.DOI: 10.11988/ckyyb.20210339

• 水资源 • 上一篇    下一篇

长江流域水资源生态足迹及其驱动因素

邵骏, 卢满生, 杜涛, 王政祥   

  1. 长江水利委员会水文局,武汉 430010
  • 收稿日期:2021-04-12 修回日期:2021-06-16 出版日期:2021-12-01 发布日期:2021-12-15
  • 作者简介:邵 骏(1982-),男,湖北宜昌人,正高级工程师,博士,主要从事水文分析与水资源评价方面的研究。E-mail: sj0813@163.com
  • 基金资助:
    国家重点研发计划项目(2019YFC0408903)

Water Resources Ecological Footprint in Yangtze River Basin and Its Driving Factors

SHAO Jun, LU Man-sheng, DU Tao, WANG Zheng-xiang   

  1. Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan 430010, China
  • Received:2021-04-12 Revised:2021-06-16 Online:2021-12-01 Published:2021-12-15

摘要: 为定量分析长江流域水资源开发利用状况,在传统的水资源生态足迹模型基础上,对其水资源生态承载力计算参数的选取进行了改进,采用区域用水总量控制指标替代区域人均水资源总量,对长江流域主要省区市的水资源生态足迹和水资源生态承载力进行了计算,分析了水资源生态足迹的驱动因子。研究结果表明,长江流域水资源生态足迹年际变化不大,呈现出小幅增加的态势。水资源生态足迹的变化反映了长江流域用水结构的变化,其地区分布规律在一定程度上反映了区域GDP状况。长江流域水资源生态承载力总体上呈现盈余态势,水资源生态赤字与水资源生态承载力分布规律一致。采用对数平均迪氏指数分解法对结构、技术、经济和人口等驱动因素分析后发现,GDP的大幅度增长是水资源生态足迹增加的主要原因,人口因素和用水结构在一定程度上影响着水资源生态足迹的驱动效应,技术因素对水资源生态足迹的增加起到抑制作用。

关键词: 水资源, 生态承载力, 生态足迹, 对数平均迪氏指数分解法, 长江流域

Abstract: The ecological footprint and ecological carrying capacity of water resources in major provinces and cities of the Yangtze River basin were calculated based on improved parameters from conventional model in which the regional per capita water resource amount was replaced by the regional water consumption control index. The driving factors of water resources ecological footprint were also analyzed using the logarithmic mean divisia index (LMDI). Results revealed slight increase in the inter-annual water resources ecological footprint, which reflected the change in water use structure in the basin; regional distribution patterns of water resources ecological footprint also reflected regional GDP to some extent. The results also showed a surplus in the ecological carrying capacity of water resources in Yangtze River Basin; ecological deficit was consistent with the distribution of ecological carrying capacity. Analysis on the driving factors demonstrated that the substantial growth in GDP was the major cause of increase in ecological footprint; population growth and water use structure affected the driving effect of the ecological footprint; and technology inhibited the increase of ecological footprint.

Key words: water resources, ecological carrying capacity, ecological footprint, logarithmic mean divisia index method, Yangtze River Basin

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