Coupling coordination analysis of urbanization and eco-environment in Yanqi Basin based on multi-source remote sensing data

Ariken, Muhadaisi; Fei, Zhang; Liu, Kang; Chen, Fang; Kung, Hsiang‐te

doi:10.1016/j.ecolind.2020.106331

Cited by 189 publications

(99 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When the maximum value of 1 is reached, this indicates the best coupling state; otherwise, it is less coupled. On the basis of the coupling degree, a coupling coordinated degree model was introduced to further reflect the coordination of urbanization and the eco-environment [10,12,22,23]:…”

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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…It is critical, therefore, to develop multi-dimensional analysis to identify solutions that will improve environmental sustainability while maintaining the social and economic welfare and progress [51][52][53]. Considering that the environmental impact of urbanization remains a hot issue nowadays, fact revealed by the multitude of research in this topic [54,55] with radically different conclusions and some researchers recommend, as future research directions, the analysis of different coupling relationship between different parameters [56] in order to provide a more enlightenment related to the practice of healthy urbanization and the environment [32], the present study targets to investigate the relationship between urbanization, energy-related features and carbon emissions in a region less analyzed as a group by previous research, considering a time interval between 1990 and 2015, when most of the countries from our panel were just exiting from the communist era.…”

Section: Introductionmentioning

confidence: 99%

National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO2 Emissions in Central–Eastern European Countries by Using Machine Learning Algorithms and Panel Data Analysis

Nuţă

Zamfir

et al. 2021

Energies

View full text Add to dashboard Cite

The work at hand assesses several driving factors of carbon emissions in terms of urbanization and energy-related parameters on a panel of emerging European economies, between 1990 and 2015. The use of machine learning algorithms and panel data analysis offered the possibility to determine the importance of the input variables by applying three algorithms (Random forest, XGBoost, and AdaBoost) and then by modeling the urbanization and the impact of energy intensity on the carbon emissions. The empirical results confirm the relationship between urbanization and energy intensity on CO2 emissions. The findings emphasize that separate components of energy consumption affect carbon emissions and, therefore, a transition toward renewable sources for energy needs is desirable. The models from the current study confirm previous studies’ observations made for other countries and regions. Urbanization, as a process, has an influence on the carbon emissions more than the actual urban regions do, confirming that all the activities carried out as urbanization efforts are more harmful than the resulted urban area. It is proper to say that the urban areas tend to embrace modern, more green technologies but the road to achieve environmentally friendly urban areas is accompanied by less environmentally friendly industries (such as the cement industry) and a high consumption of nonrenewable energy.

show abstract

“…The extraction process of the ecological network mainly includes determining the ecological sources, constructing ecological cumulative resistance surface, extracting ecological corridors and ecological nodes, the urban ecological patches are the carrier of the urban ecological sources [ 34 , 35 , 36 ]. The ecological source of this study refers to the ecological patch such as green space, scenic spots, waters, and woodland that has important protection value for urban landscape ecology.…”

Section: Methodsmentioning

confidence: 99%

Ecological Network Optimization in Urban Central District Based on Complex Network Theory: A Case Study with the Urban Central District of Harbin

Song

et al. 2021

IJERPH

View full text Add to dashboard Cite

Habitat destruction and declining ecosystem service levels caused by urban expansion have led to increased ecological risks in cities, and ecological network optimization has become the main way to resolve this contradiction. Here, we used landscape patterns, meteorological and hydrological data as data sources, applied the complex network theory, landscape ecology, and spatial analysis technology, a quantitative analysis of the current state of landscape pattern characteristics in the central district of Harbin was conducted. The minimum cumulative resistance was used to extract the ecological network of the study area. Optimized the ecological network by edge-adding of the complex network theory, compared the optimizing effects of different edge-adding strategies by using robustness analysis, and put forward an effective way to optimize the ecological network of the study area. The results demonstrate that: The ecological patches of Daowai, Xiangfang, Nangang, and other old districts in the study area are small in size, fewer in number, strongly fragmented, with a single external morphology, and high internal porosity. While the ecological patches in the new districts of Songbei, Hulan, and Acheng have a relatively good foundation. And ecological network connectivity in the study area is generally poor, the ecological corridors are relatively sparse and scattered, the connections between various ecological sources of the corridors are not close. Comparing different edge-adding strategies of complex network theory, the low-degree-first strategy has the most outstanding performance in the robustness test. The low-degree-first strategy was used to optimize the ecological network of the study area, 43 ecological corridors are added. After the optimization, the large and the small ecological corridors are evenly distributed to form a complete network, the optimized ecological network will be significantly more connected, resilient, and resistant to interference, the ecological flow transmission will be more efficient.

show abstract

Coupling coordination analysis of urbanization and eco-environment in Yanqi Basin based on multi-source remote sensing data

Cited by 189 publications

References 40 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

National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO2 Emissions in Central–Eastern European Countries by Using Machine Learning Algorithms and Panel Data Analysis

Ecological Network Optimization in Urban Central District Based on Complex Network Theory: A Case Study with the Urban Central District of Harbin

Contact Info

Product

Resources

About