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As the largest inland river basin in China, the Tarim River Basin is an important energy base and a key cotton-producing area in China. Therefore, the harmonious development of water resources, energy resources and cotton resources in the Tarim River Basin is a lifeline for stable quality and efficient development in this region. In this paper, the...
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... Tarim River Basin is located in the south of Xinjiang, China, between the Tianshan Mountains and the Kunlun Mountains, covering Bayingoleng Mongolian Autonomous Prefecture (Ba Prefecture), Aksu Prefecture, Kizilsu Kirgiz Autonomous Prefecture (Ke Prefecture), Kashgar Prefecture and Hetian Prefecture. The Tarim River Basin consists of one main stream of the Tarim River and nine main stream systems, including the Aksu River, the Yarqiang River and the Hetian River, totaling 144 rivers, see Figure 1. As the largest inland river basin in China, the Tarim River Basin has a vast basin area and abundant water resource reserves, but the total water resources vary significantly by season and region. ...
Citations
... This paper constructs the WRSR through the word frequency analysis from Citespace 6.2.6 software and previous relevant research [49][50][51][52][53]. Having fully considered the development level of water resources, social economy, and ecological environment in the YRB, we constructed an evaluation index system for the WRSR in the YRB from three aspects of resilience development: resistance, restoration, and adaptability. ...
Water resources are crucial for the development of ecosystems and humanity. The Yellow River Basin (YRB), as an important ecological area in China, is facing significant challenges in ecological protection and high-quality development due to global climate change and intense human activities. In order to alleviate the water resources crisis in the YRB, it is necessary to calculate the resilience of the water resources system and identify the main influencing factors. This paper considered the factors of water resources, social economy, and ecological environment, then constructed an evaluation framework of the water resources system resilience (WRSR) from three aspects: resistance, restoration, and adaptability. Taking nine provinces along the YRB as a case study, the WRSR was measured by using the entropy weight TOPSIS model, and its driving factors were analyzed with Geographical Detectors (GD). The results showed that: (1) From 2010 to 2022, the WRSR in the Yellow River Basin and various provinces was showing a fluctuating increasing trend, in which Ningxia had the highest average WRSR (0.646), while Shanxi had the lowest (0.168). (2) From three dimensions, the development trends of resistance, restoration, and adaptability in the YRB and various provinces from 2010 to 2022 were relatively stable. Shandong’s resistance level far exceeded that of other provinces, having the highest average resistance value (0.692), and Ningxia had the highest average value of restoration (0.827) and adaptability (0.711). However, Gansu had the lowest average value of resistance (0.119), Sichuan had the lowest average value of restoration (0.097), and Shandong had the lowest average value of adaptability (0.110). (3) In terms of impact factors, the development and utilization rate of water resources (C13) and the development and utilization rate of surface water resources (C14) in the restoration subsystem consistently ranked in the top two of influencing factors. Similarly, the water consumption per 10,000 yuan of GDP (C26) in the adaptability subsystem consistently ranked within the top ten. On the other hand, the natural population growth rate (C6) in the resistance subsystem, as well as the impact of ammonia nitrogen emissions (C9) and total precipitation (C2) in wastewater, exhibited an upward trend. Based on these, this paper provides relevant suggestions for improving the WRSR in the YRB.
... Coupling refers to the linkage phenomenon between two or more systems or forms of motion that interact with each other and influence each other [43,56]. The coupling degree model is shown in Formula (1), where C is the degree of coupling of the system (value range 0~1); f (x), g(y) and h(z) represent the combined scores of the 3 subsystems of APL obtained by the entropy method of calculation. ...
... This finding is consistent with the trend of coupling coordination in other systems, such as the system of agricultural modernization and regional economic development [40], the system of urban development and ecological environment [34], and the system of population health and economic development [46]. The cross-sectional comparison reveals similar findings in the Yangtze River Economic Belt [41], Tarim River Basin [56], Yellow River Basin [60], and other regions. Therefore, it can be assumed that China's regional sustainable development strategy is steadily advancing under the coupling and coordinated development of multiple systems. ...
Nowadays, frequent climate extremes exert a serious impact on agricultural production and social development, which is seldom studied in the previous literature. Production–Living–Ecological (PLE) is a useful analysis framework, and China is a suitable model for such study. This paper takes the Huai River Eco-Economic Belt (HREB), an important agricultural zone in China, to study the relationship among agricultural production (P), society (L), and climate change (E), which is referred to as APLE. This paper constructs a coupled coordination evaluation index system for the APLE system and uses coupling coordination degree models and geographic detector to study the spatial and temporal evolution of the coordinated development of 34 counties (cities) in the HREB from 2009 to 2018. The results show the following: (1) The development of the agricultural subsystem and the social subsystem formed a “scissors difference” from 2009 to 2014, and the three subsystems showed a slight upward trend during 2014–2018. (2) The coupling and coordinated development of the APLE system in the HREB was generally stable, and the coupling coordination degree was improved from low-grade and slightly uncoordinated to barely and primarily coordinated. Furthermore, the spatial differentiation of the coupling coordination degree shows a clear pattern of being high in the southeast and low in the northwest. (3) The main influencing factors are the drought and flood protection rate, the effective irrigation rate, the per capita electricity consumption in agriculture, the number of beds in healthcare facilities per 10,000 people, the per capita disposable income of urban residents, the annual average temperature, and the annual precipitation. (4) The spatial–temporal evolution of the coupling and coordinated development of the APLE system is the result of the comprehensive effect of internal driving forces such as food security, the consumption level of rural residents, and the development level of urbanization construction, and external driving forces such as government public welfare and natural conditions.
... Based on the literature, RCD is the coordinated and sustainable development among economic, social, and ecological subsystems within a region on the one hand, and the coordinated economic development between regions on the other [19]. This study argues that while ensuring the coordinated development of subsystems within a region, it is also necessary to reduce the differences in coordinated development between regions and gradually achieve common prosperity under the joint promotion of the market and government. ...
Achieving common prosperity is the essential requirement of socialism and promoting regional coordinated development (RCD) is an important path to achieving common prosperity. This study uses data from Zhejiang Province from 2011 to 2020, a demonstration zone of common prosperity, to construct an evaluation model of RCD, assess the regional development level and coordinated development degree, and then analyze the regional differences and spatial correlation pattern of RCD. The following results were obtained: (1) The economic, social, and ecological subsystems of all cities or counties show a continuous or fluctuating rise, and the regional coordinated development level of each study unit also shows a rising trend. This shows that steady regional development is the fundamental material basis for common prosperity. (2) The level of economic and social development shows a pattern of high in the north and low in the south, while the level of ecological development shows a pattern of high in the south and low in the north. The level of RCD evolves from a very uneven spatial distribution to a good level of coordinated development in most cities. It shows that the equalization of development among regions is a realistic manifestation of common prosperity. (3) The level of RCD in Zhejiang Province has greater intra-regional than inter-regional differences, and the differences in RCD in the north are greater than those in the south. The differences between regions have been narrowing. It shows a significant positive spatial correlation, with high-value regions tending to be adjacent to high-value regions and low-value regions tending to be adjacent to low-value regions. In sum, the development of Zhejiang Province in the last decade provides evidence of its role as a demonstration zone for common prosperity. It confirms that coordinated regional development is the fundamental way to achieve common prosperity.
