scholarly journals Spatiotemporal Evolution and Spatial Network Analysis of the Urban Ecological Carrying Capacity in the Yellow River Basin

2021 ◽  
Vol 19 (1) ◽  
pp. 229
Author(s):  
Ke Liu ◽  
Shiwen Yang ◽  
Qian Zhou ◽  
Yurong Qiao
Keyword(s):  
Carrying Capacity ◽  
Yellow River ◽  
Hot Spot ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Spatial Network ◽  
Spatiotemporal Evolution ◽  
Central Cities ◽  
Ecological Carrying Capacity ◽  
The Yellow River Basin

Based on the panel data of 82 cities in the Yellow River Basin (YRB) during 2008–2017, this paper calculated the urban ecological carrying capacity (UECC) index by means of the entropy method, drew a spatiotemporal evolution map using ArcGIS10.3 software, used a spatial cold–hot spot model to explore the spatial characteristics of the UECC index, and used the revised gravity model to construct the spatial network of the UECC. In addition, through social network analysis, we obtained the spatial network correlation characteristics of the UECC of 82 cities in the YRB. The study found the following: (1) The UECC index of the cities in the YRB increased steadily, and showed strong non-stationarity in space. The cold and hot spot patterns both changed greatly. Overall, the changes of the hot and cold spots were very significant. (2) The spatial correlation and linkage effects of the UECC in the YRB were not significant. The central cities with higher point centrality and closeness centrality showed the same spatial distribution, and most of them are located in the midstream and downstream of the YRB. The central cities in the midstream and downstream of the YRB had high betweenness centrality, and stood in the center of the association network. (3) The four plates in the spatial correlation network of the UECC in the YRB all showed their advantages and functions. The first plate was the net spillover plate, which was principally allocated in the upstream and midstream of the YRB. The second plate was the broker plate, which was principally located in the midstream and downstream of the YRB, and a few cities in the upper reaches. The third plate was the net inflow plate, which was distributed sporadically in the upstream and downstream of the YRB. The fourth plate was the broker plate, which was scattered in upstream, midstream, and downstream of the YRB. Therefore, it is necessary to shorten the gap of and promote the improvement of the UECC in the YRB.

scholarly journals Comprehensive Partitions and Optimization Strategies Based on Tourism Urbanization and Resources and Environment Carrying Capacity in the Yellow River Basin, China

2021 ◽  
Author(s):  
Zhaofeng Wang ◽  
Qingqing Chen
Keyword(s):  
River Basin ◽  
Carrying Capacity ◽  
Yellow River ◽  
Yellow River Basin ◽  
Shaanxi Province ◽  
Shanxi Province ◽  
The Yellow River ◽  
Urbanization Level ◽  
The Yellow River Basin ◽  
Tourism Urbanization

Abstract A better understanding on the spatial matching relationship between tourism urbanization and resources and environment carrying capacity is vital for the regional selection of the key eco-livable tourist cities in the Yellow River Basin. This paper addressed this research issue by evaluating and partitioning tourism urbanization level and resources and environment carrying capacity of the Yellow River Basin in 2005, 2011 and 2018, using GIS technology, spatial autocorrelation model and partition method. Empirical results suggest that (1) The tourism urbanization level of Shaanxi province maintains the leading position, while Shanxi province has great development potential. The high value areas of resources and environmental carrying capacity concentrated in Gansu, Inner Mongolia and Shandong provinces. (2) The spatial agglomeration degree of tourism urbanization level and resources and environment carrying capacity have been improved. (3) The resources and the environment carrying capacity exhibits a greater restrictive effect on the current high-level areas of tourism urbanization, and the spatial correspondence between them is weak. Based on the findings of this study, a series of optimization strategies and policy suggestions have been proposed for promoting the sustainable development of tourism urbanization in the Yellow River Basin.

scholarly journals Spatiotemporal Coupling Coordination Analysis of Social Economy and Resource Environment of Central Cities in the Yellow River Basin

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Huimin Li ◽  
Zanmei Jiang ◽  
Guanghua Dong ◽  
Lunyan Wang ◽  
Xin Huang ◽  
...  
Keyword(s):  
River Basin ◽  
Yellow River ◽  
Social Economy ◽  
Yellow River Basin ◽  
Spatiotemporal Pattern ◽  
The Yellow River ◽  
Central Cities ◽  
Per Capita ◽  
The Yellow River Basin ◽  
Resource Environment

With the rapid economic and social development and accelerated urbanization, the negative ecological impact of major river basins worldwide has been deepening, which is gradually threatening the sustainable development of cities. This study establishes the model of the coupling coordination relationship between social economy and resources environment of nine central cities in the Yellow River Basin. Based on the evaluation index system of social economy and resource environment, we quantitatively measure the coupling coordination degree and spatiotemporal pattern of the nine central cities from 2010 to 2017. The obstacle factors of coupling coordination were then diagnosed based on the obstacle degree model. The results showed that (1) the social economy and resources environment development indices of the nine central cities in the Yellow River Basin, as well as the coupling coordination of each central city, showed an overall upward trend from 2010 to 2017. (2) Most of the central cities in the Yellow River Basin were in the coordinated coupling stage, among which Xining and Lanzhou have the highest coupling degree. (3) The obstacle factors affecting the harmonious development coupling coordination of the nine central cities were natural growth rate of population, proportion of tertiary industry in GDP and per capita investment in fixed assets in social economy system, and per capita green area of parks, per capita total amount of water resources, and per capita industrial SO2 emissions in resources environment system. It is necessary to adopt different strategies for different cities to promote the coupling coordination development of urban social economy and resources environment in the Yellow River Basin.

scholarly journals Thoughts on Jinan's Establishment of the National Central City of China's Yellow River Basin

2020 ◽  
Vol 6 (2) ◽  
pp. 21
Author(s):  
Zhe Zhang ◽  
Xiaochang Chu
Keyword(s):  
River Basin ◽  
Yellow River ◽  
Municipal Government ◽  
Central City ◽  
Yellow River Basin ◽  
Urban Agglomeration ◽  
The Yellow River ◽  
Central Cities ◽  
The Yellow River Basin ◽  
The Impact

<p>The national central city is not a single existence, and it must be based on the national-level urban agglomeration. At the same time, it must have superior geographical advantages and rich natural resources as the basis for development. Urban agglomeration promotes national central cities; on the contrary, national central cities can also drive the common development of urban agglomerations. During the National People’s Congress and National Committee of the Chinese People’s Political Consultative Conference this year, Jinan Municipal Government proposed to create a national central city in the Yellow River Basin as the development goal. In this article, the measures taken by Jinan Municipal Government to create the national central city of the Yellow River Basin are put forward, and the impact of the surrounding urban agglomeration on the development of Jinan is pointed out. Meanwhile, the opportunities and challenges that Jinan will bring to the surrounding urban agglomeration by establishing the national central city are elaborated.</p>

scholarly journals Spatio-Temporal Coupling Coordination Analysis between Urbanization and Water Resource Carrying Capacity of the Provinces in the Yellow River Basin, China

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 376
Author(s):  
Ran Qiao ◽  
Huimin Li ◽  
Han Han
Keyword(s):  
River Basin ◽  
Carrying Capacity ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Coordination State ◽  
Two Systems ◽  
Index Systems ◽  
Spatio Temporal ◽  
The Yellow River Basin

With the rapid expansion of the Chinese economy in recent years, the urbanization process of the provinces in the Yellow River Basin (YRB) has put serious pressure on the sustainability of the water resources carrying capacity (WRCC). It is necessary to analyze and diagnose the coordination state between urbanization and the WRCC. In this study, based on the Population-Economic-Social-Spatial (PESS) framework and Pressure-State-Response (PSR) model, we developed two index systems for the urbanization and WRCC, respectively. At the basis of the two index systems, the coupling coordination degree (CCD) of the two systems is calculated by applying the improved CCD model. Based on the calculated CCD for each province, the spatio-temporal analysis was performed to analyze the characteristics of CCD in the YRB. The obstacle factor model is utilized to obtain the main obstacle factors. The results show that: (1) the coordination state between the urbanization and WRCC systems was improved to some extent in 2017, compared to 2008, but there are differences in the coordination state of the different provinces in the YRB. (2) In terms of the level of urbanization, the gap between the seven provinces’ performance levels widened because urbanization grew at different rates. The WRCC system’s performance presented a fluctuating downward trend from 2008 to 2017 in the YRB. (3) The pressure subsystem had a significant impact on the two systems’ coordination state in the YRB, while the social urbanization and response subsystem had a less significant impact on the urbanization system and the WRCC system, respectively. Due to the growth of urbanization, the imbalanced development of the WRCC and urbanization has become the principal contradiction that must be solved in order to achieve sustainability in the YRB. The analysis of the coupling relationship between urbanization and WRCC may guide the policy makers in planning for realistic goals. The results provide a guide for high-quality development in the YRB.

scholarly journals Research on Spatial Patterns and Sustainable Development of Rural Tourism Destinations in the Yellow River Basin of China

Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 849
Author(s):  
Hao Zhang ◽  
Ye Duan ◽  
Zenglin Han
Keyword(s):  
Sustainable Development ◽  
Spatial Distribution ◽  
River Basin ◽  
Yellow River ◽  
Hot Spot ◽  
Yellow River Basin ◽  
Rural Tourism ◽  
The Yellow River ◽  
The Sustainable Development ◽  
The Yellow River Basin

Rural tourism is a new point of growth for tourism and the economy in the context of the new normalization of the economy and is of great significance in achieving the complementary coordination and integration of urban and rural areas, promoting rural transformation, and increasing farmers’ incomes. The trends of rural tourism development mechanisms studied on a spatial scale can be used to interpret the sustainable development of rural tourism from different perspectives. Based on the data of key rural tourism villages in China’s Yellow River Basin (hereinafter referred to as the Yellow River Basin), kernel density estimation and spatial hot spot clustering methods were used in the present study to analyze the spatial distribution pattern and sustainable development mechanisms of these villages. The results showed that the spatial distribution of the key villages presents greater concentrations in the west and south than in the east and north, respectively. The spatial distribution of the key villages was found to be primarily affected by factors such as historical culture, transportation locations, economic level, and topography. Finally, the sustainable development mechanisms of rural tourism are proposed, and corresponding suggestions are provided from the perspectives of sustainable livelihoods, operation management, and marketing.

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