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A Study on Resource Carrying Capacity and Early Warning of Urban Agglomerations of the Yellow River Basin Based on Sustainable Development Goals, China

Author

Listed:
  • Xiaoyan Bu

    (School of Geography and Planning, Ningxia University, Yinchuan 750021, China)

  • Xiaomin Wang

    (School of Geography and Planning, Ningxia University, Yinchuan 750021, China)

  • Jiarui Wang

    (School of Geography and Planning, Ningxia University, Yinchuan 750021, China)

  • Ge Shi

    (School of Geography and Planning, Ningxia University, Yinchuan 750021, China)

Abstract

The Yellow River Basin is an essential ecological barrier in China, but it is relatively underdeveloped. The human–land relationship needs to be coordinated, and the ecological environment is fragile, which seriously restricts the sustainable development of the urban agglomeration in the Yellow River Basin. In this study, a “five-dimensional integrated” comprehensive carrying capacity evaluation model is constructed using the five dimensions of water, land, ecology, monitoring, and early warning to evaluate its resource carrying capacity quantitatively. It constructs an early warning system of the resource carrying capacity based on the quantitative evaluation results and monitors the state of the resource carrying capacity. The results show that (1) seven major urban agglomerations’ populations, grain productions, and land are surplus, and 50.85% of prefecture-level cities have food surpluses regarding human–food relationships. (2) There are shortages in the urban agglomeration’s water resources and a deficit in the water resource carrying capacity. (3) The average ecological carrying capacity index is 0.519, indicating a state of ecological affluence. (4) The comprehensive resource carrying capacity is defined as level-three heavy-load conditions, while 67%, 22%, and 14% of cities have level-one, -two, and -three heavy-load conditions, respectively. This study can aid in the monitoring of the resource carrying status of the Yellow River Basin. These results provide a scientific basis for effectively restraining the utilization and development of natural resources in the Yellow River Basin. It can also provide a research paradigm for the world’s river basins, as well as the sustainable development of man and nature in the world.

Suggested Citation

  • Xiaoyan Bu & Xiaomin Wang & Jiarui Wang & Ge Shi, 2023. "A Study on Resource Carrying Capacity and Early Warning of Urban Agglomerations of the Yellow River Basin Based on Sustainable Development Goals, China," Sustainability, MDPI, vol. 15(19), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14577-:d:1255385
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    References listed on IDEAS

    as
    1. Wenlong Yu & Tianhui Tao, 2022. "Scenario Simulation for the Urban Carrying Capacity Based on System Dynamics Model in Shanghai, China," Sustainability, MDPI, vol. 14(19), pages 1-18, October.
    2. Xiaohu Ci & Liping Zhang & Tongxiang Wang & Yi Xiao & Jun Xia, 2022. "Research on the ECC of Chengdu–Chongqing’s Urban Agglomeration in China Based on System Dynamics," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    3. Tang, Yuzhi & Wang, Mengdi & Liu, Qian & Hu, Zhongwen & Zhang, Jie & Shi, Tiezhu & Wu, Guofeng & Su, Fenzhen, 2022. "Ecological carrying capacity and sustainability assessment for coastal zones: A novel framework based on spatial scene and three-dimensional ecological footprint model," Ecological Modelling, Elsevier, vol. 466(C).
    4. Huijuan Hu & Ling Han, 2023. "Evaluation of Land Carrying Capacity of 31 Provinces in China Based on a Natural–Societal-Supply–Demand Framework," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    5. Chong Wu & An-ding Jiang & Wenlong Zheng, 2022. "Study on the Measures for Optimizing China’s Provincial Territorial Space Based on the Perspective of Resource and Environmental Carrying Capacity in the New Situation," Sustainability, MDPI, vol. 14(21), pages 1-21, October.
    6. Xianlei Dong & Shan Gao & Airong Xu & Zhikun Luo & Beibei Hu, 2022. "Research on Tourism Carrying Capacity and the Coupling Coordination Relationships between Its Influencing Factors: A Case Study of China," Sustainability, MDPI, vol. 14(22), pages 1-28, November.
    7. Dongmin Zhang & Libo Zhu & Xiuying Ma & Zuoming Liu & Hongwei Cui, 2022. "Uncoordinated Coupling Assessment of New Urbanization and Ecological Carrying Capacity in the Yellow River Basin," IJERPH, MDPI, vol. 19(15), pages 1-21, July.
    8. Yu Chen & Shuangshuang Liu & Wenbo Ma & Qian Zhou, 2023. "Assessment of the Carrying Capacity and Suitability of Spatial Resources and the Environment and Diagnosis of Obstacle Factors in the Yellow River Basin," IJERPH, MDPI, vol. 20(4), pages 1-26, February.
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