scholarly journals National Fragile Degree of Climate Change Based on Catastrophe Progression Method and Correlation Analysis

2018 ◽  
Vol 394 ◽  
pp. 052058
Author(s):  
Yue Jian ◽  
Hepeng Zhang
Keyword(s):  
Climate Change ◽  
Correlation Analysis ◽  
Catastrophe Progression Method ◽  
Catastrophe Progression

Catastrophe progression method based on M-K test and correlation analysis for assessing water resources carrying capacity in Hubei province

2018 ◽  
Vol 11 (2) ◽  
pp. 556-567
Author(s):  
Fan Song ◽  
Xiaohua Yang ◽  
Feifei Wu
Keyword(s):  
Water Resources ◽  
Correlation Analysis ◽  
Water Resource ◽  
Carrying Capacity ◽  
Supply And Demand ◽  
Hubei Province ◽  
Ecological Environment ◽  
Water Resources Carrying Capacity ◽  
Catastrophe Progression Method ◽  
Catastrophe Progression

Abstract In order to assess the water resources carrying capacity (WRCC) of Hubei province, an improved catastrophe progression method based on M-K test and correlation analysis was established. This model includes evaluation, abrupt change test and correlation analysis. It can make a comprehensive assessment of water resource carrying capacity in a certain area. The evaluation results of this model are clear and can effectively avoid the effects of subjective weight and, in addition, it can also streamline the index system. We applied the model to study the WRCC of Hubei province from 2005 to 2016, considering the supply and demand of water resources, ecological environment, economy and society. The results showed that the WRCC of Hubei province is at the ‘weak’ level, presenting a certain development and utilization potential, but it must be strictly controlled and moderately developed. The WRCC of Hubei province is improving, but must be adjusted by water conservation facilities and long-term management policies to prevent the foreseeable deterioration. Water supply and demand systems and ecological environment systems were found to be the driving factors of WRCC through correlation analysis. This approach gives the decision-makers suggestions about water resource sustainable utilization.

scholarly journals Quantitative Detection and Attribution of Groundwater Level Variations in the Amu Darya Delta

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2869
Author(s):  
Xiaohui Pan ◽  
Weishi Wang ◽  
Tie Liu ◽  
Yue Huang ◽  
Philippe De Maeyer ◽  
...  
Keyword(s):  
Climate Change ◽  
Correlation Analysis ◽  
Groundwater Level ◽  
Human Activities ◽  
Pearson Correlation ◽  
Aral Sea ◽  
Irrigation Area ◽  
Amu Darya ◽  
Pearson Correlation Analysis ◽  
Groundwater Dynamic

In the past few decades, the shrinkage of the Aral Sea is one of the biggest ecological catastrophes caused by human activity. To quantify the joint impact of both human activities and climate change on groundwater, the spatiotemporal groundwater dynamic characteristics in the Amu Darya Delta of the Aral Sea from 1999 to 2017 were analyzed, using the groundwater level, climate conditions, remote sensing data, and irrigation information. Statistics analysis was adopted to analyze the trend of groundwater variation, including intensity, periodicity, spatial structure, while the Pearson correlation analysis and principal component analysis (PCA) were used to quantify the impact of climate change and human activities on the variabilities of the groundwater level. Results reveal that the local groundwater dynamic has varied considerably. From 1999 to 2002, the groundwater level dropped from −189 cm to −350 cm. Until 2017, the groundwater level rose back to −211 cm with fluctuation. Seasonally, the fluctuation period of groundwater level and irrigation water was similar, both were about 18 months. Spatially, the groundwater level kept stable within the irrigation area and bare land but fluctuated drastically around the irrigation area. The Pearson correlation analysis reveals that the dynamic of the groundwater level is closely related to irrigation activity within the irrigation area (Nukus: −0.583), while for the place adjacent to the Aral Sea, the groundwater level is closely related to the Large Aral Sea water level (Muynak: 0.355). The results of PCA showed that the cumulative contribution rate of the first three components exceeds 85%. The study reveals that human activities have a great impact on groundwater, effective management, and the development of water resources in arid areas is an essential prerequisite for ecological protection.

Performance Evaluation of Green Supply Chain Based on Catastrophe Progression Method

2013 ◽  
Vol 423-426 ◽  
pp. 2174-2177 ◽  
Author(s):  
Hai Dong ◽  
Shuang Dong
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Index System ◽  
Public Awareness ◽  
Rapid Development ◽  
Evaluation Index System ◽  
Green Supply Chain ◽  
Catastrophe Progression Method ◽  
Performance Evaluation Index ◽  
Catastrophe Progression

With the development of society, environmental issues have been given more and more attention, and the improvement of public awareness, legal and environmental standards promote the rapid development of green supply chain. Combining with catastrophe progression method (CPM), enterprises who implement green supply chain are provided scientific and effective ways to manage company. Firstly, the evaluation process of CPM is given. Secondly, a set of green supply chain performance evaluation index system is designed on the basis of the connotation of green supply chain and environmental management standards, and the index system is designed by using dimensionless process. Finally, numerical examples show that the performance evaluation of green supply chain based on CPM has a higher scientific and practical application value.

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