Modelling the coupling evolution of the water environment and social economic system using PSO-SVM in the Yangtze River Economic Belt, China

Modelling the coupling evolution of the water environment and social economic system using PSO-SVM in the Yangtze River Economic Belt, China

Being a crucial focal point of China's regional development, green development is a novel concept for the coordinated development of the environment and social economy. Therefore, elucidation of the relationship between the aforementioned factors is scientifically necessary to achieve regional...

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Bibliographic Details
Main Authors: Deng, C. (Author), Li, C. (Author), Li, H. (Author), Liu, L. (Author), Peng, D. (Author), Zhu, Q. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
carrying capacity
China
Coupling coordination degree
Coupling evolution
ecological economics
economic system
Economics
environmental economics
Gray water
Gray water footprint
Green development
Learning systems
Machine learning
Machine-learning
Planning
Regional planning
Scenario analysis
Scenarios analysis
Social economy
spatiotemporal analysis
support vector machine
sustainable development
Sustainable development
Water environments
water footprint
Yangtze River
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