Application of improved set pair analysis model for evaluation of water resources carrying capacity

2011 ◽  
Author(s):  
Fanxiu Li
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Set Pair Analysis ◽  
Analysis Model ◽  
Water Resources Carrying Capacity ◽  
Pair Analysis

Application of Set Pair Analysis Model Based on Entropy Weight for Comprehensive Evaluation of Water Resources Carrying Capacity

2012 ◽  
Vol 195-196 ◽  
pp. 764-769 ◽  
Author(s):  
Liang Ma ◽  
Jing Hua Zhao ◽  
Ming Hong ◽  
Liang Liang Chen
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Comprehensive Evaluation ◽  
Set Pair Analysis ◽  
Analysis Model ◽  
Entropy Weight ◽  
Water Resources Carrying Capacity ◽  
Attribute Recognition ◽  
Evaluating Methods ◽  
Pair Analysis

In view of the uncertainty of evaluation indicators for water resources carrying capacity the theory of set pair analysis is adopted. The samples are preliminarily classified by calculating the connection degree between the samples and evaluation indicators. Then the samples are further ranked through the identity, difference and antagonism set pair analysis. The weights of evaluation factors in the model are obtained from the avail value of data reflecting the information entropy, by which the weight allocation is more reasonable. The application result of this model to an example is compared with those obtained from integrated evaluating methods and the attribute recognition method. It shows that the proposed method is practical and reasonable.

scholarly journals Dynamic evaluation of regional water resources carrying capacity based on set pair analysis and partial connection number

2021 ◽  
Author(s):  
Zheng Li ◽  
Juliang Jin ◽  
Yi Cui ◽  
Libing Zhang ◽  
Chengguo Wu ◽  
...  
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Evaluation Model ◽  
Set Pair Analysis ◽  
Connection Number ◽  
Water Resources Carrying Capacity ◽  
Micro Motion ◽  
Partial Connection ◽  
Pair Analysis ◽  
Regional Water

Abstract In order to describe the micro motion between the connection number components and seek a more applicable evaluation model, quantitatively evaluate and analyze regional water resources carrying capacity (WRCC). Firstly, an evaluation index system and grade standards of regional WRCC were constructed. Then, a method for determining the connection number was proposed, which considered the micro motion between the connection number components in system structure. Finally, built an evaluation model based on set pair analysis (SPA) and partial connection number (PCN) that used subtraction set pair potential (SPP) to identify vulnerability factors, and identification results were compared with total partial connection number (TPCN). The model was applied to Huaibei City, Anhui Province, China. The results showed that: the WRCC grade value was between 2 and 3 that was poor; the support and regulation subsystem grade value was between 2 and 3, and the pressure subsystem grade value was between 1 and 2. SPP identified that the support force and regulation force subsystem were the vulnerable subsystems. Eight indexes such as water resources per capita, rate of ecological water consumption and density of population were the main indicators causing the poor WRCC, which were in good agreement with the local measured data. In addition, the SPP and TPCN are compared to further verify rationality of the connection number determination method and reliability of the identification results. The model established in this paper has strong applicability and can also be used for the dynamic evaluation of other resources, environment and ecological carrying capacity. The results in this study can provide a scientific basis for water resources management and decision-making.

Application of Set Pair Analysis in Water Resources Carrying Capacity Assessment

2014 ◽  
Vol 1065-1069 ◽  
pp. 2999-3003
Author(s):  
Ying Qin Chen
Keyword(s):  
Economic Development ◽  
Water Resources ◽  
Carrying Capacity ◽  
Sustainable Use ◽  
Evaluation Criteria ◽  
Evaluation Index System ◽  
Capacity Assessment ◽  
Set Pair Analysis ◽  
Water Resources Carrying Capacity ◽  
Pair Analysis

Water carrying capacity assessment is to reveal the relationship between water resources, population, and economy, fully use water resources, and make economic development go hand in hand with protection of water resources, which simultaneously promote sustainable social and economic development. Based on the analysis of water resources carrying capacity defined, according to the measure of the demand for sustainable use of water resources, using a combination of quantitative and qualitative methods to construct water resources carrying ability evaluation index system with three aspects of socio-economic systems, environmental systems and water systems, gives the five evaluation criteria, proposed set pair analysis to evaluate it, analyze the advantages of set pair analysis, and finally select Gaochun as case study areas, provide a new method for the carrying capacity of water resources.

Prediction analysis model of integrated carrying capacity using set pair analysis

2016 ◽  
Vol 120 ◽  
pp. 39-48 ◽  
Author(s):  
Chao Wei ◽  
Xiaoyan Dai ◽  
Shufeng Ye ◽  
Zhongyang Guo ◽  
Jianping Wu
Keyword(s):  
Carrying Capacity ◽  
Set Pair Analysis ◽  
Analysis Model ◽  
Prediction Analysis ◽  
Pair Analysis

scholarly journals Vulnerability of assessing water resources by the improved set pair analysis

2014 ◽  
Vol 18 (5) ◽  
pp. 1531-1535 ◽  
Author(s):  
Xiao-Hua Yang ◽  
Jun He ◽  
Cong-Li Di ◽  
Jian-Qiang Li
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Water Resource ◽  
Vulnerability Assessment ◽  
Assessment Model ◽  
Climate Change Scenarios ◽  
Set Pair Analysis ◽  
Analysis Model ◽  
Pair Analysis ◽  
Water Resources Vulnerability

Climate change has tremendously changed the hydrological processes with global warming. There are many uncertainties in assessing water resources vulnerability. To assess the water resources vulnerability rationally under climate change, an improved set pair analysis model is established, in which set pair analysis theory is introduced and the weights are determined by the analytic hierarchy process method. The index systems and criteria of water resources vulnerability assessment in terms of water cycle, socio-economy, and ecological environment are established based on the analysis of sensibility and adaptability. Improved set pair analysis model is used to assess water resource vulnerability in Ningxia with twelve indexes under four kinds of future climate scenarios. Certain and uncertain information quantity of water resource vulnerability is calculated by connection numbers in the improved set pair analysis model. Results show that Ningxia is higher vulnerability under climate change scenarios. Improved set pair analysis model can fully take advantage of certain and uncertain knowledge, subjective and objective information compared with fuzzy assessment model and artificial neural network model. The improved set pair analysis is an extension to the vulnerability assessment model of water resources system.

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