Relative carrying capacity of resources is an index to measure sustainable development through carrying capacity. Case studies of eleven cities in Zhejiang (Hangzhou, Ningbo, Wenzhou, Jiaxing, Huzhou, Shaoxing, Jinhua...Relative carrying capacity of resources is an index to measure sustainable development through carrying capacity. Case studies of eleven cities in Zhejiang (Hangzhou, Ningbo, Wenzhou, Jiaxing, Huzhou, Shaoxing, Jinhua, Quzhou, Zhoushan, Taizhou and Lishui) illustrated regional sustainable development approach. In this study, to provide insight into spatial and dynamic analysis of region sustainable development, we calculated the relative carrying capacity of land resources and economical resources and synthetical carrying capacity of resources in different cities in Zhejiang, and geographic information system was carried out. The results showed that all cities but Hangzhou and Ningbo were ecologically sustainable, and relative carrying capacity of land resources in northern and eastern Zhejiang was larger than those in southern and western Zhejiang. The sampling years of Wenzhou, Hangzhou and Ningbo contribution rates of land resource to synthetic carrying capacity were grouped into three stages, and there were two milestones trends and changes in 1996 and 2004, respectively. This study demonstrated that geographic information system and relative carrying capacity of resources are effective for assessment of region sustainable development, and provide policy guidelines for decision-making.展开更多
[Objectives]To make safety evaluation of water environment carrying capacity of five cities in Ningxia based on ecological footprint of water resources.[Methods]With the help of the grey relational model,15 indicators...[Objectives]To make safety evaluation of water environment carrying capacity of five cities in Ningxia based on ecological footprint of water resources.[Methods]With the help of the grey relational model,15 indicators were selected from the natural,economic,and social aspects,and the most influential factors in the three fields were selected.Based on the concept of ecological priority,the water resources carrying capacity of the five cities in Ningxia from 2010 to 2019 was calculated with the help of the water resources ecological footprint model.Then,the indicators of the water resources ecological footprint model were coupled with the existing indicators to establish a comprehensive evaluation indicator system.Finally,the changes of the water environment carrying capacity of the five cities in Ningxia were analyzed with the help of the principal component analysis(PCA).[Results]The ecological pressure of water resources and the ecological deficit of water resources in the five cities were relatively large.Specifically,Yinchuan City had the most obvious deficit of water resources but good carrying capacity;Zhongwei City had a large ecological deficit of water resources,poor carrying capacity,and the largest ecological pressure index of water resources;Guyuan City had low water resources ecological deficit,water resources ecological carrying capacity and water resources ecological pressure index.[Conclusions]Through the analysis of the coupling indicator system,it can be seen that the water environment carrying capacity of the five cities is in an upward trend,indicating that the water environment in each region tends to become better.展开更多
[Objective] The research aimed to assess the water resources carrying capacity in Guizhou Province based on the cosine vector included angle method. [Method] By using the cosine vector included angle method, the index...[Objective] The research aimed to assess the water resources carrying capacity in Guizhou Province based on the cosine vector included angle method. [Method] By using the cosine vector included angle method, the index weight was determined. The projection value of water resources carrying capacity in Guizhou Province was counted by using the multi-objective gray relational projection method. Moreover, the projection value which was counted by the index weight determined by the mean-variance method was as the control. [Result] The projection values which were obtained by two kinds of methods were very close, and the ordering result was consistent. [Conclusion] In the assessment of water resources carrying capacity, it was feasible to use the cosine vector included angle method to determine the index weight.展开更多
水资源承载力是指一个区域或国家所能提供的可持续利用的水资源量,它直接关系到社会经济的可持续发展和生态环境的健康,也是衡量特定区域水资源供需平衡能力的重要指标。本文将对云南省水资源承载力进行分析评价,首先运用博弈论组合赋权...水资源承载力是指一个区域或国家所能提供的可持续利用的水资源量,它直接关系到社会经济的可持续发展和生态环境的健康,也是衡量特定区域水资源供需平衡能力的重要指标。本文将对云南省水资源承载力进行分析评价,首先运用博弈论组合赋权法,结合专家打分的层次分析法和客观分析原始数据的熵权法及变异系数法,得出综合权重;然后采用灰色关联度改进的逼近理想解的排序方法(Technique for order preference by similarity to ideal solution,TOPSIS)及耦合协调分析法,综合得出云南省在2008~2020年间水资源承载力的变化情况并做出评价。结果表明,2008~2020年水资源承载力总体呈上升趋势,其中,经济子系统和社会子系统的承载力始终保持持续上升的状态,而水资源子系统和生态环境子系统则出现波动情况。2008~2014年,云南省为大力发展经济,牺牲了一定的水资源合理开发利用,但在2014年后,开始注重水资源保护,实施绿色可持续发展战略,水资源子系统的承载力逐步提升。展开更多
文摘Relative carrying capacity of resources is an index to measure sustainable development through carrying capacity. Case studies of eleven cities in Zhejiang (Hangzhou, Ningbo, Wenzhou, Jiaxing, Huzhou, Shaoxing, Jinhua, Quzhou, Zhoushan, Taizhou and Lishui) illustrated regional sustainable development approach. In this study, to provide insight into spatial and dynamic analysis of region sustainable development, we calculated the relative carrying capacity of land resources and economical resources and synthetical carrying capacity of resources in different cities in Zhejiang, and geographic information system was carried out. The results showed that all cities but Hangzhou and Ningbo were ecologically sustainable, and relative carrying capacity of land resources in northern and eastern Zhejiang was larger than those in southern and western Zhejiang. The sampling years of Wenzhou, Hangzhou and Ningbo contribution rates of land resource to synthetic carrying capacity were grouped into three stages, and there were two milestones trends and changes in 1996 and 2004, respectively. This study demonstrated that geographic information system and relative carrying capacity of resources are effective for assessment of region sustainable development, and provide policy guidelines for decision-making.
基金Natural Science Foundation of Ningxia(2022AAC03093)Ningxia Higher Education First-class Discipline Construction Project(Hydraulic Engineering Discipline)(NXYLXK2021A03)Ningxia 2018 Key R&D Program(2018BEG03008).
文摘[Objectives]To make safety evaluation of water environment carrying capacity of five cities in Ningxia based on ecological footprint of water resources.[Methods]With the help of the grey relational model,15 indicators were selected from the natural,economic,and social aspects,and the most influential factors in the three fields were selected.Based on the concept of ecological priority,the water resources carrying capacity of the five cities in Ningxia from 2010 to 2019 was calculated with the help of the water resources ecological footprint model.Then,the indicators of the water resources ecological footprint model were coupled with the existing indicators to establish a comprehensive evaluation indicator system.Finally,the changes of the water environment carrying capacity of the five cities in Ningxia were analyzed with the help of the principal component analysis(PCA).[Results]The ecological pressure of water resources and the ecological deficit of water resources in the five cities were relatively large.Specifically,Yinchuan City had the most obvious deficit of water resources but good carrying capacity;Zhongwei City had a large ecological deficit of water resources,poor carrying capacity,and the largest ecological pressure index of water resources;Guyuan City had low water resources ecological deficit,water resources ecological carrying capacity and water resources ecological pressure index.[Conclusions]Through the analysis of the coupling indicator system,it can be seen that the water environment carrying capacity of the five cities is in an upward trend,indicating that the water environment in each region tends to become better.
基金Supported by Guizhou Province Science and Technology Fund Item(Guizhou Science Together (2009) 2251)High-level PersonnelSpecial Assistance Fund in Guizhou Province (TZJF (2009) 25)Ministry of Education Science and Technology Research Key Item(210201)~~
文摘[Objective] The research aimed to assess the water resources carrying capacity in Guizhou Province based on the cosine vector included angle method. [Method] By using the cosine vector included angle method, the index weight was determined. The projection value of water resources carrying capacity in Guizhou Province was counted by using the multi-objective gray relational projection method. Moreover, the projection value which was counted by the index weight determined by the mean-variance method was as the control. [Result] The projection values which were obtained by two kinds of methods were very close, and the ordering result was consistent. [Conclusion] In the assessment of water resources carrying capacity, it was feasible to use the cosine vector included angle method to determine the index weight.
文摘水资源承载力是指一个区域或国家所能提供的可持续利用的水资源量,它直接关系到社会经济的可持续发展和生态环境的健康,也是衡量特定区域水资源供需平衡能力的重要指标。本文将对云南省水资源承载力进行分析评价,首先运用博弈论组合赋权法,结合专家打分的层次分析法和客观分析原始数据的熵权法及变异系数法,得出综合权重;然后采用灰色关联度改进的逼近理想解的排序方法(Technique for order preference by similarity to ideal solution,TOPSIS)及耦合协调分析法,综合得出云南省在2008~2020年间水资源承载力的变化情况并做出评价。结果表明,2008~2020年水资源承载力总体呈上升趋势,其中,经济子系统和社会子系统的承载力始终保持持续上升的状态,而水资源子系统和生态环境子系统则出现波动情况。2008~2014年,云南省为大力发展经济,牺牲了一定的水资源合理开发利用,但在2014年后,开始注重水资源保护,实施绿色可持续发展战略,水资源子系统的承载力逐步提升。
