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.

Assessment for water resources bearing capacity based on Entropy model and EFAST weight algorithm in the Yellow River basin

2020 ◽  
Author(s):  
Libin Yang
Keyword(s):  
Water Resources ◽  
Bearing Capacity ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
Shaanxi Province ◽  
Shanxi Province ◽  
The Yellow River ◽  
Entropy Model ◽  
The Yellow River Basin

<p>It is of great practical significance to analyze water resources load carry and clarify the bearing capacity of water resources in the Yellow River basin for the ecological protection and economic and social development with high quality of the Yellow River. The Entropy model and EFAST weight algorithm is coupled and employed to assess the water-resources bearing capacity in the Yellow River basin based on the double index of water quantity and quality. The results show that there are 78 groundwater overdraft areas existing, the total area and ultra-picks quantity of which is 2.26×10<sup>4</sup> km<sup>2</sup> and 14×10<sup>8</sup> m<sup>3</sup>, respectively. Massive cones of depression are developing like Yinchuan and Dawukou in Ningxia province; Fengdong, Xinghua, Lvqiao and Weibin in Shaanxi province; Songgu, Taiyuan and Yuncheng in Shanxi province; Wuzhi, Wenxian and Mengxian in Henan province. Moreover, 47 of 70 assessed prefecture cities are in the state of overload or severe overload, in which, there are 24 severe-overload prefecture cities and the proportion is 34.3%, and the number of overload prefecture cities is 23 accounting for 32.9%. The overload and severe-overload regions concentrate in Gansu, Ningxia, Inner Mongolia, Shaanxi, Shanxi and Henan provinces at the upper and middle Yellow River. In conclusion, the current water supply has exceeded its water-resources bearing capacity in the Yellow River basin. Strengthening water saving, the construction of main-stream controlled reservoirs and water diversion are the effective ways to relieve the overload state.</p>

scholarly journals What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?

2020 ◽  
Vol 12 (6) ◽  
pp. 2488 ◽  
Author(s):  
Luping Shi ◽  
Zhongyao Cai ◽  
Xuhui Ding ◽  
Rong Di ◽  
Qianqian Xiao
Keyword(s):  
Influencing Factors ◽  
River Basin ◽  
Environmental Governance ◽  
Yellow River ◽  
Generalized Method Of Moments ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Urbanization Level ◽  
New Type ◽  
The Yellow River Basin

Promoting new-type urbanization with the concept of green development has become an inevitable requirement for high-quality development in the Yellow River Basin. Grasping the development trend and influencing factors of green urbanization level in the Yellow River Basin is of great significance for implementing the international conventions on environmental protection and participating in global environmental governance. This paper selects the green urbanization level panel data of nine provinces in the Yellow River Basin from 2006 to 2018. Then, principal component analysis and factor analysis are applied to measure and evaluate the green urbanization level of each province. Furthermore, this paper constructs a dynamic panel estimation model and uses differential generalized method of moments (DIF-GMM) model and system generalized method of moments (SYS-GMM) model to explore the influencing factors. The results show that the overall level of green urbanization in the Yellow River Basin has steadily and rapidly increased, and there are significant spatial differences. The green urbanization level of eastern provinces is significantly higher than that of central and western provinces. In addition, the overall level of green urbanization shows a convergence trend. From the perspective of influencing factors, the factors that have significant positive effects on the level of green urbanization include economic development level, technological innovation level, and urban size. Industrial structure, foreign direct investment (FDI), and education level counteract the level of green urbanization. However, environmental regulation strength and opening degree fail to pass the significance test. Therefore, it is necessary to promote and upgrade industrial transformation, improve the quality of opening up, and strengthen cooperation in technological innovation and environmental governance. There are requirements that the government control the urban size and population scientifically and implement the environmental access system strictly in order to improve the level of green urbanization in the Yellow River Basin. It is more possible to achieve harmonious economic and ecological environment development.

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.

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