scholarly journals Comparative analysis of water resources carrying capacity based on principal component analysis in Beijing-Tianjin-Hebei region from the perspective of urbanization

2017 ◽  
Author(s):  
Chuanfeng Liu ◽  
Ruimei Wang ◽  
Xiling Zhang ◽  
Changlin Cheng ◽  
Huan Song ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Comparative Analysis ◽  
Water Resources ◽  
Carrying Capacity ◽  
Principal Component ◽  
Component Analysis ◽  
Water Resources Carrying Capacity

scholarly journals Evaluation of Water Resources Carrying Capacity Using Principal Component Analysis: An Empirical Study in Huai’an, Jiangsu, China

Water ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 2587
Author(s):  
Fan Wu ◽  
Zhicheng Zhuang ◽  
Hsin-Lung Liu ◽  
Yan-Chyuan Shiau
Keyword(s):  
Principal Component Analysis ◽  
Water Resources ◽  
Carrying Capacity ◽  
Evaluation System ◽  
Rapid Development ◽  
Supply And Demand ◽  
Principal Component ◽  
Component Analysis ◽  
Research Perspective ◽  
Water Resources Carrying Capacity

With the rapid development of urbanization, problems such as the tight supply and demand of water resources and the pollution of the water environment have become increasingly prominent, and the pressure on the carrying capacity of water resources has gradually increased. In order to better promote the sustainable development of cities, it is extremely important to coordinate the relationship between water resources and economic society. This study analyzed the current research status of water resources carrying capacity from two aspects, i.e., research perspective and research methodology, established an innovative evaluation system, and used the principal component analysis to analyze the water resources carrying capacity in Huai’an City, an important city in China’s Huaihe River Ecological Economic Zone. Based on the results, it is found that the water resources carrying capacity of Huai’an City has been declining year by year from 2013 to 2019. Based on the evaluation results, suggestions and measures to improve the water resources carrying capacity of the empirical city are proposed to provide an important decision basis for the coordinated development of urban economy, society, and water resources.

Empirical Study of Sunan’s Water Resources Carrying Capacity during the Process of Modernization

2014 ◽  
Vol 955-959 ◽  
pp. 3075-3078
Author(s):  
Miao Chen ◽  
Feng Ping Wu
Keyword(s):  
Principal Component Analysis ◽  
Water Resources ◽  
Empirical Study ◽  
Water Resource ◽  
Carrying Capacity ◽  
Principal Component ◽  
Analysis Method ◽  
Water Resources Carrying Capacity ◽  
Water Resource Carrying Capacity ◽  
Composite Scores

Taking Sunan’s water resource carrying capacity as the research object, this article extracted three principal components from thirteen indicators influencing water resources carrying capacity through principal component analysis method. Then bestowing weights to the three components using entropy value method, the composite scores of Sunan’s water resource carrying capacity from 2002 to 2012 could be calculated.The result shows that, with the advancement of Sunan modernization, Sunan’s water resource carrying capacity will face a major test, thus requiring a reasonable and efficient use of water resources and giving full play to potential of water resources.

scholarly journals Evaluation Methods of Water Environment Safety and Their Application to the Three Northeast Provinces of China

2019 ◽  
Vol 11 (18) ◽  
pp. 5135 ◽  
Author(s):  
Li ◽  
Sun ◽  
Yuan ◽  
Liu
Keyword(s):  
Principal Component Analysis ◽  
Water Resources ◽  
Chemical Oxygen Demand ◽  
Water Environment ◽  
Oxygen Demand ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Method ◽  
Industry Output ◽  
Per Capita

Focusing on the topic of water environment safety of China, this paper has selected the three northeast provinces of China as the research object due to their representativeness in economic development and resource security. By using the Entropy Weight Method, the Grey Correlation Analysis Method, and the Principal Component Analysis Method, this paper has first constructed a water environment safety evaluation system with 17 indicators from the economic, environmental, and ecological aspects. Furthermore, this paper has screened the initially selected indicators by the Principal Component Analysis Method and finally determined 11 indicators as the evaluation indicators. After indicator screening, this paper has adopted the improved Fuzzy Comprehensive Evaluation Method to evaluate the water environment safety of the three northeast provinces of China and obtained the change in water environment safety of different provinces from 2009 to 2017. The results show that the overall water environment safety of the region had improved first but worsened afterward, and that in terms of water safety level, Jilin Province ranked first, followed by Heilongjiang Province and Liaoning Province. The three factors that have the greatest impact on the water environment safety of the three provinces are: Liaoning—Chemical Oxygen Demand (score: 17.10), Per Capita Disposable Income (score: 13.50), and Secondary Industry Output (score: 11.50); Heilongjiang—Chemical Oxygen Demand (score: 18.64), Per Capita Water Resources (score: 12.75), and Concentration of Inhalable Particles (score: 10.89); Jilin—Per Capita Water Resources (score: 15.75), Chemical Oxygen Demand (score: 14.87), and Service Industry Output (score: 11.55). Based on analysis of the evaluation results, this paper has proposed corresponding policy recommendations to improve the water environment safety and promote sustainable development in the northeast provinces of China.

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