(LIU Ling, CHEN Hao, ZHOU Rongxing, et al. Utilizing dynamic difference coefficient in the evaluation of water resources carrying capacity in the Huaibei plain of Anhui province[J]. Hydro-Science and Engineering, 2024(in Chinese)). doi: 10.12170/20230519002
Citation: (LIU Ling, CHEN Hao, ZHOU Rongxing, et al. Utilizing dynamic difference coefficient in the evaluation of water resources carrying capacity in the Huaibei plain of Anhui province[J]. Hydro-Science and Engineering, 2024(in Chinese)). doi: 10.12170/20230519002

Utilizing dynamic difference coefficient in the evaluation of water resources carrying capacity in the Huaibei plain of Anhui province

  • In order to assess the water resources carrying capacity in the Huaibei plain of Anhui province in a scientific and effective manner, this study utilizes the dynamic difference coefficient. By leveraging uncertainty information between evaluation samples and grade standards, the study fully explores the potential of the dynamic difference coefficient formula, which adjusts according to the sample values. A quantitative evaluation method for regional water resources carrying capacity is then established based on this dynamic difference coefficient. The application of this method in the Huaibei plain of Anhui province reveals that the water resources carrying status of the six cities in the region ranged between level 2 (critical load) and level 3 (critical overload) during the period of 2015-2019, suggesting a poor water resources carrying capacity. The evaluation results obtained through the associative numerical method align closely with those obtained using the hierarchical eigenvalue method and the quaternion subtraction method. However, the associative numerical method proves to be more objective and sensitive compared to the other two methods. The relational numerical method accurately predicts the development trends of the set pair system, providing valuable insights for addressing similar evaluation issues related to water resources and the water environment.
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