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- W4386996593 abstract "In recent years, the order evaluation method of a coupled system based on synergetics has been successfully applied in the field of water resources evaluation and management. The evaluation of system order degree needs to comprehensively consider the simple giant system entropy of multiple order parameters. At this stage, the calculation of simple giant system entropy ignores the time series characteristics of order parameters, which makes the evaluation results of system order degree deviate from the actual changes of the system. Therefore, considering the time factor in the entropy calculation of a simple giant system, this paper proposes a synergetic order evaluation method considering the characteristics of time series. Then, taking Jiangxi Province as the research object, an example of a comprehensive evaluation of the order degree of the water resources coupling system is carried out. The relevant experimental results show that: The evaluation results of the synergetic order degree method considering the characteristics of time series presented in this paper are closer to the actual evolution situation of the system than the evaluation results without considering the characteristics of the time series, and maintaining high consistency with the actual evolution situation; the order degree of the water resources subsystem is greatly affected by the changes of water resources; and the entropy change of the water resources coupling system in Jiangxi Province is greatly affected by the entropy change of the water resources subsystem. The research result enhances the universality of the application of the synergetic order evaluation method in the related fields of a comprehensive evaluation of water resources systems and has a certain practical significance." @default.
- W4386996593 created "2023-09-25" @default.
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- W4386996593 date "2023-09-23" @default.
- W4386996593 modified "2023-09-30" @default.
- W4386996593 title "Study on Evaluation of Order Degree of Water Resources Coupling System Considering Time Series Characteristics—Take Jiangxi Province as an Example" @default.
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- W4386996593 doi "https://doi.org/10.3390/su151914113" @default.
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