Coordination evaluation and obstacle factors recognition analysis of water resource spatial equilibrium system

Bai, Xia; Jin, Juliang; Zhou, Rongxing; Wu, Chengguo; Zhou, Yuliang; Zhang, Libing; Yi, Chuixiang

doi:10.1016/j.envres.2022.112913

Cited by 30 publications

(5 citation statements)

References 8 publications

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“…In order to further [39] reveal the main factors impeding the improvement of the resilience level of socio-hydrological systems in the Tarim River Basin, we used the barrier degree model to quantitatively analyse the barrier factors and the degree of barriers affecting the resilience of socio-hydrological systems in the basin, and on the basis of analysing the barrier degree of individual indicators on the total target, we further analysed the factors. We performed a quantitative analysis of the barriers to the resilience of socio-hydrological systems in watersheds and referred to the methods provided in the relevant literature for the calculation [39,40].…”

Section: Barrier Degree Modelmentioning

confidence: 99%

Evaluation of the Resilience of the Socio-Hydrological System of the Tarim River Basin in China and Analysis of the Degree of Barriers

et al. 2022

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The study of changes in the resilience of socio-hydrological systems in arid zones is of great significance to ensure the sustainable development of socio-economic and water resources in arid zones. In order to fully understand the level of resilience development of the Tarim River Basin socio-hydrological system and the main impediments to its development, we constructed a resilience evaluation model of the Tarim River Basin socio-hydrological system from two aspects, vulnerability and adaptability, which is what makes this paper different from other studies. The evaluation index weights were determined using a comprehensive assignment, and the barrier factors and evolutionary characteristics of the system resilience were revealed based on the TOPSIS algorithm and barrier degree model. The results show that (1) during the period 2001–2020, the resilience of the socio-hydrological system in the Tarim River Basin showed a fluctuating upward trend, with the calculated values mainly in the range of 0.8–1.5, and the overall resilience level was mainly at the medium or good level; (2) from the changes in each criterion layer, the vulnerability and adaptability of the Tarim River Basin showed a fluctuating upward trend from 2001 to 2020, with an increase in vulnerability and adaptability; and (3) the main barriers to the resilience of the socio-hydrological system in the Tarim River Basin are the degree of pollution of surface water sources and the amount of water consumption per 10,000 yuan of GDP. We believe that we should continue to change the economic development model, vigorously develop water-saving irrigation technology, improve water resource utilisation and economic benefits, and improve the overall resilience of the socio-hydrological system. A full understanding of the evolutionary characteristics of the resilience of socio-hydrological systems and the main influencing factors can provide a theoretical basis for future water resources development and utilisation, socio-economic development, and related policy formulation.

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Section: Barrier Degree Modelmentioning

confidence: 99%

Evaluation of the Resilience of the Socio-Hydrological System of the Tarim River Basin in China and Analysis of the Degree of Barriers

et al. 2022

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“…The difference between 1 and

indicates the difference between the actual value of the index and the optimal value. w j is the weight of the index ( 64 , 65 ).…”

Section: Methodology and Datamentioning

confidence: 99%

Coupling coordination analysis of low-carbon development, technology innovation, and new urbanization: Data from 30 provinces and cities in China

Liu

2022

Front. Public Health

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Technology innovation capability as an endogenous driving force plays an increasingly important role in the low-carbon transformation of new urbanization. This paper's purpose is to delve into the coupling coordination relationship among the three variables, and promote system's and region's synergy development. Based on the coupling coordination degree model, spatial autocorrelation model and obstacle degree model, this paper investigated the coupling coordination of low-carbon development (LCD) quality, technology innovation (TI) capability and new urbanization (NU) level in China from 2009 to 2019. The results indicate: (1) The coupling coordination degree (CCD) of LCD quality, TI capability and NU level in all regions of the country were fluctuating for a long time, and the regions that reach the coordinated development level showed a slow rising trend with obvious regional differences. (2) Three subsystems' CCD showed significant spatial correlation characteristics, and the degree of spatial agglomeration was constantly increasing. (3) The obstacles affecting the systems' synergy mainly reflected in economic and social indexes. In the end, this paper proposed that policy coordination and linkage should be strengthened, emphasizing the integrated development of the three subsystems. It is necessary to formulate development plans in combination with geographic location and resource endowment to enhance the regional driving effect.

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“…Referring to previous studies [75,76,78], the division for the coupling coordinated degree is shown in Table 4. The obstacle degree model was introduced to reveal specific hindering factors for the balanced development of LRCC [79,80]. The specific calculation formula is as follows:…”

Section: Coupling Coordination Analysismentioning

confidence: 99%

Assessing Land Resource Carrying Capacity in China’s Main Grain-Producing Areas: Spatial–Temporal Evolution, Coupling Coordination, and Obstacle Factors

Jiang,

Tang,

et al. 2023

Sustainability

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The land resources in the main grain-producing areas (MGPAs) provide a solid foundation for grain production, and promotion of the sustainable utilization of land resources in these areas is crucial for ensuring national food security. To comprehensively assess the land resource carrying capacity (LRCC) in China’s MGPAs, we utilized the driver-pressure-state-impact-response (DPSIR) framework and applied the analytic hierarchy process (AHP) and entropy weight (EW) method to analyze the spatial–temporal evolution of LRCC in China’s MGPAs from 2000 to 2020. By establishing a coupling coordination model, we explored the coupling coordination relationships among LRCC subsystems and identified key factors hindering the balanced development of LRCC using an obstacle degree model. The research results indicate that the LRCC in China’s MGPAs generally shows an increasing trend with a continuously growing rate, with the LRCC in the southern regions surpassing that in the northern regions. The overall coupling coordination of LRCC demonstrates an increasing trend, although the growth rate is decreasing. The coupling coordination level of LRCC in the southern regions is generally higher than that in the northern regions, and the gap in coordination levels between various regions is narrowing. The state and pressure subsystems significantly influence the balanced development of LRCC. Indicators such as arable land area per capita, grain production yield per unit area of arable land, grain production yield per capita, forest land area per capita, and grassland area per capita play vital roles in the development of LRCC. Based on these findings, we have put forward targeted recommendations.

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Coordination evaluation and obstacle factors recognition analysis of water resource spatial equilibrium system

Cited by 30 publications

References 8 publications

Evaluation of the Resilience of the Socio-Hydrological System of the Tarim River Basin in China and Analysis of the Degree of Barriers

Evaluation of the Resilience of the Socio-Hydrological System of the Tarim River Basin in China and Analysis of the Degree of Barriers

Coupling coordination analysis of low-carbon development, technology innovation, and new urbanization: Data from 30 provinces and cities in China

Assessing Land Resource Carrying Capacity in China’s Main Grain-Producing Areas: Spatial–Temporal Evolution, Coupling Coordination, and Obstacle Factors

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