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Evaluation and Analysis of Development Status of Yellow River Beach Area Based on Multi-Source Data and Coordination Degree Model

Author

Listed:
  • Jing Li

    (School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255049, China
    These authors contributed equally to this work.)

  • Yuefeng Lu

    (School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255049, China
    State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Xiwen Li

    (Haikou Marine Geological Survey Center, China Geological Survey, Haikou 570100, China)

  • Rui Wang

    (Haikou Marine Geological Survey Center, China Geological Survey, Haikou 570100, China
    These authors contributed equally to this work.)

  • Ying Sun

    (School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255049, China)

  • Yanru Liu

    (School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255049, China)

  • Kaizhong Yao

    (School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255049, China)

Abstract

The Yellow River beach area is the basic component of the Yellow River Basin. Promoting the comprehensive improvement and high-quality development of the Yellow River beach area is an important guarantee of the long-term stability of the Yellow River and an important part of promoting the high-quality development and ecological protection of the Yellow River Basin. In this paper, four new indexes (flood risk intensity index, accessibility index, biological abundance index, and remote sensing ecological index) were extracted from geospatial data and remote sensing images, and a quantitative evaluation model (Ecology-Economy -Society-Flood, EESF) for the development of the Yellow River beach area were constructed based on social statistics, such as flood control and control in the beach area. The coordinated development level of the Yellow River beach area was evaluated by combining the “CRITIC–entropy weight method” and “‘single index quantification–multi-index synthesis–multi-criteria integration’ (SMI-P)—coordination degree model” methods. The spatial autocorrelation model was used to analyze the spatial distribution characteristics of the coordinated development level, and the global sensitivity and uncertainty analysis (GSUA) was carried out for the sensitivity and uncertainty of the parameters. Taking the Yellow River beach area in Shandong Province in 2009 and 2019 as the study object, the research results showed that during this period, the coordinated development level of the Yellow River beach area in Shandong Province showed a gradual upward trend, from 0.344 to 0.580, reaching a basic coordinated state; the overall coordinated development level of the beach area showed significant autocorrelation and small spatial heterogeneity. Grain production was the most sensitive parameter in the coordinated development model of the beach area. The beach area should rationally develop and utilize agricultural resources and promote the integration of ecological industries.

Suggested Citation

  • Jing Li & Yuefeng Lu & Xiwen Li & Rui Wang & Ying Sun & Yanru Liu & Kaizhong Yao, 2023. "Evaluation and Analysis of Development Status of Yellow River Beach Area Based on Multi-Source Data and Coordination Degree Model," Sustainability, MDPI, vol. 15(7), pages 1-25, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:6086-:d:1113165
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    References listed on IDEAS

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