Comprehensive evaluation of water resources carrying capacity in ecological irrigation districts based on fuzzy set pair analysis

2020 ◽  
Vol 187 ◽  
pp. 63-69 ◽  
Author(s):  
Xiuyu Zhang ◽  
Xuefang Du ◽  
Yanbin Li
2012 ◽  
Vol 195-196 ◽  
pp. 764-769 ◽  
Author(s):  
Liang Ma ◽  
Jing Hua Zhao ◽  
Ming Hong ◽  
Liang Liang Chen

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.


Author(s):  
Zheng Li ◽  
Juliang Jin ◽  
Yi Cui ◽  
Libing Zhang ◽  
Chengguo Wu ◽  
...  

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.


2014 ◽  
Vol 1065-1069 ◽  
pp. 2999-3003
Author(s):  
Ying Qin Chen

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.


2012 ◽  
Vol 518-523 ◽  
pp. 918-921 ◽  
Author(s):  
Ke Li ◽  
Jing Yao Qi ◽  
Jian Hui Wang ◽  
Hai Lu ◽  
Zhi Jie Zhao

With the growth of population, water security has become the worldwide problem combined with severe environment pollution, quick economic development and irrational water allocation. Based on sustainable development, Water resources carrying capacity (WRCC) driven from physics originally has been proposed to solve it. The measurement of WRCC can tell decision-makers that how much population the water resource can feed, what degree water resources can support the economic and so on. Because the decision-makers can make adaptive decisions based on the correct evaluation of WRCC, the ways of the assessment of WRCC are very important. This paper focuses on how to measure WRCC by selecting three typical methods, fuzzy model of comprehensive evaluation, multiple criteria analysis (MCA) and system dynamics (SD) methods. The characteristics of these methods are good at solving the multi-objective and complicated problem in common which is the trait of WRCC. The differences of them are the specific process of analysis and evaluation.


2010 ◽  
Vol 113-116 ◽  
pp. 488-494 ◽  
Author(s):  
Yue Jian Wang ◽  
Guang Yang ◽  
Hai Liang Xu

The water resources carrying capacity is an important component of natural resource carrying capacity in a country or region sustained development process. It is the key being related to using the water resources reasonably, which means vital to the sustained growth of the water resources, the social economy and the ecological environment concordant development.Taking the case of river basin in arid zone of the Manasi River Basin,The author evaluated water resources supporting capacity condition basin in different year of the Manasi River by establishing fuzzy comprehensive evaluation model. The results indicated that because of saving water technological progress and industry restructure advancement, the water resources carrying capacity of Manasi River will be improved in the future twenty years. The water resources supply and demand contradictory will be obtained certain alleviation, but the uneven of water resources space and time distribution is still the main restrictive factor of the development of society and economic and the ecological environment construction.


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