Scholarlink

<p>Eco-environmental carrying capacity (EECC) reflects a region’s ability to support population growth and socio-economic development under environmental constraints. In this study, an index system was constructed by integrating the standard deviation method with the Driving Force-Pressure-State-Impact-Response (DPSIR) framework. An AEW-TC-GRA-TOPSIS (ATGT) model was developed by combining the anti-entropy weight method with an improved TOPSIS approach incorporating the Tanimoto coefficient and grey relational analysis. The model was applied to assess the EECC of Hebei Province from 2013 to 2022, and the results were analyzed from spatial, temporal, and obstacle perspectives.The results indicate that: (1) the EECC of Hebei Province showed a steady upward trend during the study period, with the index reaching 0.73 in 2022, representing an increase of 0.42 compared with 2013; (2) spatially, Hengshui and Zhangjiakou were classified as overloaded in 2013, while the EECC indices of other cities ranged from 0.3 to 0.4. By 2022, the EECC of all cities improved significantly, with most classified as weakly bearable; (3) the state subsystem was the dominant constraint, with per capita resource availability and water quality compliance rate identified as the main obstacle factors.These findings suggest that Hebei Province should further strengthen ecological management to better coordinate human activities with the natural environment and promote sustainable development. development.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A study on the evaluation method and temporal-spatial analysis of eco-environmental carrying capacity in Hebei Province, China

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月29日

查看全文
  • Hongpeng Zhao,
  • Xia Zhu,
  • Lihua Yuan,
  • Yuanping Liu,
  • Yu Zhong,
  • Cui Jia,
  • Jie Cao

摘要

Eco-environmental carrying capacity (EECC) reflects a region’s ability to support population growth and socio-economic development under environmental constraints. In this study, an index system was constructed by integrating the standard deviation method with the Driving Force-Pressure-State-Impact-Response (DPSIR) framework. An AEW-TC-GRA-TOPSIS (ATGT) model was developed by combining the anti-entropy weight method with an improved TOPSIS approach incorporating the Tanimoto coefficient and grey relational analysis. The model was applied to assess the EECC of Hebei Province from 2013 to 2022, and the results were analyzed from spatial, temporal, and obstacle perspectives.The results indicate that: (1) the EECC of Hebei Province showed a steady upward trend during the study period, with the index reaching 0.73 in 2022, representing an increase of 0.42 compared with 2013; (2) spatially, Hengshui and Zhangjiakou were classified as overloaded in 2013, while the EECC indices of other cities ranged from 0.3 to 0.4. By 2022, the EECC of all cities improved significantly, with most classified as weakly bearable; (3) the state subsystem was the dominant constraint, with per capita resource availability and water quality compliance rate identified as the main obstacle factors.These findings suggest that Hebei Province should further strengthen ecological management to better coordinate human activities with the natural environment and promote sustainable development. development.