Study on Spatial and Temporal Distribution Characteristics of Coordinated Development Degree among Regional Water Resources, Social Economy, and Ecological Environment Systems

Wang, Xinkui; Dong, Zengchuan; Xu, Wei; Luo, Yi; Zhou, Tao; Wang, Wenzhuo

doi:10.3390/ijerph16214213

Cited by 35 publications

(20 citation statements)

References 37 publications

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“…According to the analysis of the concept of coordination, it is hoped that the smaller the difference between u(x) and e(y), the better. Here, coordination degree (CD) was introduced to measure the coordination degree of urbanization and the eco-environment [1,20,21]…”

Section: Implementation Of Methodologymentioning

confidence: 99%

Investigation of Dynamic Coupling Coordination between Urbanization and the Eco-Environment—A Case Study in the Pearl River Delta Area

Sun

Zhang

Song

et al. 2021

Land

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The interaction between urbanization and the eco-environment is usually viewed as an effect–feedback framework. Its coupling system is composed of urbanization and eco-environment subsystems. In this paper, the coupling degree (CD) and the coupling coordinated degree (CCD) are used to reflect the coupling interaction and coupling coordination between the urbanization subsystem and the eco-environment subsystem. Based on the dynamic relative quantities of urbanization and eco-environment data in the Pearl River Delta, CD and CCD values were calculated, and the spatiotemporal evolution trend of coordination was analyzed. The results show that (1) from 2000 to 2015, the nine cities in the Pearl River Delta had high CD values and CCD values. Though they had different performances in different periods, they were all in a coordinated class, including good coordination (GC), moderate coordination (MC), and bare coordination (BC). (2) In terms of temporal evolution, the coupling coordination between urbanization and the eco-environment in the entire Pearl River Delta greatly improved. (3) From the perspective of spatial distribution, the coupling coordination of the central region was higher than that of the peripheral regions, and that of the west bank of the Pearl River was higher than that of the east bank of the Pearl River. These results can help local policy makers enact appropriate measures for sustainable development.

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Section: Implementation Of Methodologymentioning

confidence: 99%

Investigation of Dynamic Coupling Coordination between Urbanization and the Eco-Environment—A Case Study in the Pearl River Delta Area

Sun

Zhang

Song

et al. 2021

Land

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“…where x ij and y ij are the original and normalized indicators of j in sample i, and m is the total number of samples. The entropy weight method is then adopted to calculate the SDD, which calculates the information entropy of indicators that reflect their relative change degree on the whole WSEF nexus system (Wang et al, 2019). The information entropy of indicator j in sample i is expressed by the following:…”

Section: Sustainable Development Degree (Sdd) Assessmentmentioning

confidence: 99%

Identifying the dynamic evolution and feedback process of water resources nexus system considering socioeconomic development, ecological protection, and food security: A practical tool for sustainable water use

Tan

Dong

Guzmán

et al. 2021

Hydrol. Earth Syst. Sci.

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Abstract. The accelerated consumption of water resources caused by the rapid increase in population and urbanization is intensifying the complex interactions across water resources, socioeconomic development, ecological protection, and food security (WSEF), which causes not only the imbalance between water supply and demand but also the vulnerability of both food and ecological systems. Therefore, identifying the dynamic coevolution and feedback process is one of the most crucial ways of achieving the goal of sustainable water use. In this study, we developed an integrated modeling framework to better identify the dynamic interaction and coevolution process of the nexus across WSEF systems in the context of sustainable water uses by coupling system dynamic (SD) model and multi-objective optimization model. The SD model is used to simulate both the dynamic interaction of each agent and the coevolution process of the whole nexus system by positive/negative feedback loops. The multi-objective optimization model is used to quantify the negative feedback loops of the SD model by generating the optimal scheme of different water users. Finally, the model uncertainty considering different weighting factors is analyzed. The framework is applied to the upper reaches of the Guijiang River basin, China. Results show that (i) the rapid economic growth increases the conflict between the water uses for socioeconomic development and ecological protection, intensifying the ecological awareness and resulting in more water shortages of socioeconomic and food agents, which is unable to support such rapid development. (ii) Once the economic growth rate decreases, water resources are able to support economic development with a decreased overload index and stable crop yield, which further contributes to water sustainability. (iii) The river ecological agent is the critical factor that affects the robustness of the model. (iv) The equal consideration of each water usage is the most beneficial to sustainable development. These results highlight the importance of water resources management, considering the tradeoffs across multiple stakeholders, and give a strong reference to policymakers for comprehensive urban planning.

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“…The degree of coupling (C) [13,17] is used to describe the degree of interaction and influence within a system or between system elements. Thus, coupling and a related metric, coupling coordination (D), are used to measure whether the elements within a system are coordinated with each other during development, reflecting the trend from disorder to order in the system [18,19]. Currently, coupling is widely used in the study of climate change and the environment [13].…”

Section: Introductionmentioning

confidence: 99%

Identification of Coupling and Influencing Factors between Urbanization and Ecosystem Services in Guanzhong, China

Chen

et al. 2021

Sustainability

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Urbanization trades off the value of ecosystem services for economic value, either directly or indirectly. Optimizing the synergistic effects of both and identifying the coupled influences associated with human activities are essential for sustainable regional development and policy formulation. In this study, we analyzed the spatial differentiation of regional ecosystem service values and urbanization using ArcGIS 10.2, STATA 15.1, the value coefficient method, the urbanization index model, and the coupled coordination model, assessed their coupled coordination status, and further explored the influencing factors, taking the Guanzhong region of China as an example. The results show that the substrate has an important influence on ecosystem service values, with woodlands being the most important value provider and the largest contribution of regulating service values, with a spatial “center-periphery” ring-band growth distribution. There is a clear hierarchy of urbanization, with the higher the administrative level, the higher the level of urbanization. The overall coupling and coordination of ecosystem services and urbanization is in a non-equilibrium state, with high levels in the south and low levels in the north. Further research on the factors influencing the coupling found that the disposable income of urban residents and the population employed in the tertiary industry had the greatest influence.

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Study on Spatial and Temporal Distribution Characteristics of Coordinated Development Degree among Regional Water Resources, Social Economy, and Ecological Environment Systems

Cited by 35 publications

References 37 publications

Investigation of Dynamic Coupling Coordination between Urbanization and the Eco-Environment—A Case Study in the Pearl River Delta Area

Investigation of Dynamic Coupling Coordination between Urbanization and the Eco-Environment—A Case Study in the Pearl River Delta Area

Identifying the dynamic evolution and feedback process of water resources nexus system considering socioeconomic development, ecological protection, and food security: A practical tool for sustainable water use

Identification of Coupling and Influencing Factors between Urbanization and Ecosystem Services in Guanzhong, China

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