2021
DOI: 10.3390/w13050695
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Evaluation and Scenario Prediction of the Water-Energy-Food System Security in the Yangtze River Economic Belt Based on the RF-Haken Model

Abstract: As an important agricultural production area in China, the Yangtze River Economic Belt has a large amount of water resources and rich types of energy. Water and energy resources are the supporting basis of food production, and the production and use of energy also need to consume a large amount of water resources. The three affect each other and are interdependent. Paying attention to the synergistic security of water-energy-food system in the Yangtze River Economic Belt is important for regional economic deve… Show more

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Cited by 19 publications
(15 citation statements)
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References 34 publications
(32 reference statements)
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“…At the same time, the complex system composed of logistics industry and manufacturing industry shows the characteristics of openness, non-equilibrium state, nonlinear change and random fluctuation, which conforms to the dissipative structural characteristics of self-organization theory and meets the conditions of self-organization. Among them, the interaction of various variables, both competition and coordination, constitute the driving force of the co-evolution of the system [ 33 ]. The collaborative system realizes the synergistic effect under the leading role of order parameters.…”
Section: Theoretical Basis and Haken Modelmentioning
confidence: 99%
“…At the same time, the complex system composed of logistics industry and manufacturing industry shows the characteristics of openness, non-equilibrium state, nonlinear change and random fluctuation, which conforms to the dissipative structural characteristics of self-organization theory and meets the conditions of self-organization. Among them, the interaction of various variables, both competition and coordination, constitute the driving force of the co-evolution of the system [ 33 ]. The collaborative system realizes the synergistic effect under the leading role of order parameters.…”
Section: Theoretical Basis and Haken Modelmentioning
confidence: 99%
“…Finally, the average value of the mean square error ( MSE ), normalized mean square error ( NMSE ) and coefficient of determination ( R-squared or R 2 ) of all test results is obtained. The related error test formula is as follows [ 77 ]: …”
Section: Resultsmentioning
confidence: 99%
“…Finally, the average value of the mean square error (MSE), normalized mean square error (NMSE) and coefficient of determination (Rsquared or R 2 ) of all test results is obtained. The related error test formula is as follows [77]: In order to verify whether the random forest regression model is better than other models in the accuracy of the research in this article, we will compare the neural network model (net package), decision tree (rpart package) and support vector machine regression model (e1071 package) with excellent nonlinear regression functions. After setting and debugging the appropriate parameters of each model, the training of the model is carried out.…”
Section: Construction Of Random Forest Regressionmentioning
confidence: 99%
“…Failure to effectively manage the resources in any of these FEW sectors can therefore lead to serious inefficiencies in FEW resource management. In recent years, there has also been a growing body of literature highlighting the close interlinkages and trade-offs between the three FEW sectors [1][2][3][4]. Several notable global agencies including, the World Economic Forum, World Water Forum, the Bonn 2011 Nexus Conference, and the World Water Week 2012, have called for an integrated approach to FEW security [3].…”
Section: Introductionmentioning
confidence: 99%