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黄河流域水-能源-粮食复合系统的空间适应模式与协调发展

Spatial adaptation patterns and coordinated development of water-energy-food complex system in the yellow river basin.

作者信息

Hou Yingdong, Zhao Guoying, Liu Yujing, Li Xiaoyang

机构信息

Hebei University of Engineering, Handan, 056038, China.

School of Resources and Environment, Xingtai University, Xingtai, 054001, China.

出版信息

Sci Rep. 2024 Dec 28;14(1):31241. doi: 10.1038/s41598-024-82601-6.

Abstract

The coordination development of the Water-Energy-Food complex system (WEF CS) is vital to realizing the Sustainable Development Goals of the United Nations. However, the existing research ignores the influence of external environment, and it is not clear which dimension is the key driving mechanism for coordinated development of WEF CS. Herein, it built a theoretical framework of "system unit-nexus-natural environment" WEF CS based on the logical framework of "unit-nexus-external environment", and adopted Dagum Gini coefficient, coupling coordination degree, and grey correlation models to explore the sustainable development ability of water resource, energy resource and food resource of the Yellow River Basin (YRB). It showed that (1) the overall development level of WEF CS showed significant stage differences, indicating upstream > downstream > midstream; (2) the overall Gini coefficient decreased from 0.123 in 2004 to 0.084 in 2020, and the spatial mismatch of development level mainly came from the difference between reaches; (3) the influencing factors of the key zones that hindered the development of WEF CS chiefly came from the nexus dimension. This study provides insights into optimizing spatial adaptation pattern and improving coordination development in basins.

摘要

水-能源-粮食复合系统(WEF CS)的协调发展对于实现联合国可持续发展目标至关重要。然而,现有研究忽略了外部环境的影响,且尚不清楚哪个维度是WEF CS协调发展的关键驱动机制。在此,基于“单元-联系-外部环境”的逻辑框架构建了“系统单元-联系-自然环境”WEF CS的理论框架,并采用达古姆基尼系数、耦合协调度和灰色关联模型来探究黄河流域(YRB)水资源、能源资源和粮食资源的可持续发展能力。结果表明:(1)WEF CS的整体发展水平呈现出显著的阶段差异,表现为上游>下游>中游;(2)整体基尼系数从2004年的0.123降至2020年的0.084,发展水平的空间错配主要源于各河段之间的差异;(3)阻碍WEF CS发展的关键区域的影响因素主要来自联系维度。本研究为优化流域空间适应模式和促进协调发展提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6702/11682390/dc4afce55e8e/41598_2024_82601_Fig1_HTML.jpg

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