• Journal of Geographical Sciences
  • Vol. 30, Issue 7, 1043 (2020)
Chuanglin FANG1、2、*, Xuegang CUI1、2, Xiangzheng DENG1、2, and Longwu LIANG1、2
Author Affiliations
  • 1Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • 2College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.1007/s11442-020-1769-9 Cite this Article
    Chuanglin FANG, Xuegang CUI, Xiangzheng DENG, Longwu LIANG. Urbanization and eco-environment coupling circle theory and coupler regulation[J]. Journal of Geographical Sciences, 2020, 30(7): 1043 Copy Citation Text show less

    Abstract

    A near-distance, nonlinear coupling relationship objectively exists between urbanization and the eco-environment. The issue of how to coordinate the relationship between them has become a global strategic and scientific issue. This study reveals the nature, relationship and intensity of coupling between urbanization and the eco-environment from a theoretical perspective. Based on the strength of coupling, relationships can be characterized as having very-low, low, medium, high, very-high or full coupling intensity, which correspond to the categories of random coupling, indirect coupling, loose coupling, cooperative coupling, close coupling, and controlled coupling. Together, these make up an urbanization and eco-environment “coupling tower.” This study also develops an urbanization and eco-environment coupling circle theory and generates 45 coupling graphs (including linear, exponential-curve, logarithmic-curve, double exponential-curve and S-curve graphs) per 10° of rotation of the coupling circle, with different graphs corresponding to different urban development stages and development models. Of the various coupling graphs, the S-curve graph is considered the optimum, as it reflects the best interactivity scenario between urbanization and the eco-environment. Using an S-curve coupling graph, and with the help of an SD model and based on the complex one-to-one, one-to-many, and many-to-many relationships between the variables, this study develops the Urbanization and Eco-environment Coupler (UEC). The UEC is composed of 11 regulating elements and 201 variables. If one variable changes, it changes the whole, affecting the structure, function and regulation of the entire coupler. The UEC includes three spatio-temporal scales: static regulation between multiple urbanization areas and eco-environment areas at the same time, dynamic regulation between the same urbanization area and eco-environment area at different times, and dynamic regulation between multiple urbanization areas and eco-environment areas at different times. Regulation gradually promotes evolution from low-level coupling to high-level coupling between urbanization and the eco-environment.
    $f(U)=\sum\limits_{j=1}^{n}{{{a}_{j}}{{x}_{j}}}\ ,\ \ j=1,2,\cdots ,n$ (1)

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    $f(E)=\sum\limits_{j=1}^{n}{{{b}_{i}}{{y}_{j}}}\ ,\ \ i=1,2,\cdots ,n$ (2)

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    $\alpha =\text{arctg}\left( \frac{{{V}_{\text{A}}}}{{{V}_{\text{B}}}} \right)=arctg\left( \frac{dA/dt}{dB/dt} \right)$ (3)

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    $A=\frac{df(E)}{dt}={{a}_{1}}f(E)+{{a}_{2}}f(U),\ {{V}_{A}}=\frac{dA}{dt}$ (4)

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    $B=\frac{df(U)}{dt}={{\beta }_{1}}f(E)+{{\beta }_{2}}f(U),\ {{V}_{B}}=\frac{dB}{dt}$ (5)

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    $y=k(x-{{x}_{0}})+{{y}_{0}}$ (6)

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    $y={{k}^{(x-{{x}_{0}})}}+{{y}_{0}}$ (7)

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    $y={{\log }_{k}}(x-{{x}_{0}})+{{y}_{0}}$ (8)

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    $y={{y}_{0}}+k{{({{10}^{\frac{x-a}{b}}}-c)}^{2}}$ (9)

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    $y={{y}_{0}}+\frac{k}{{{e}^{a(b-x)}}+c}$ (10)

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    Chuanglin FANG, Xuegang CUI, Xiangzheng DENG, Longwu LIANG. Urbanization and eco-environment coupling circle theory and coupler regulation[J]. Journal of Geographical Sciences, 2020, 30(7): 1043
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