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 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.

An analytical method of regional water resources carrying capacity in karst area – a case study in Guizhou province, China

2016 ◽  
Vol 11 (4) ◽  
pp. 796-805 ◽  
Author(s):  
Li Bo ◽  
Wu Qiang ◽  
Chen Li-xia
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Research Area ◽  
Evaluation Index System ◽  
Guizhou Province ◽  
Karst Area ◽  
Water Resources Carrying Capacity ◽  
Regional Water

The uneven temporal and spatial distributions and the unreasonable development and utilization of water resources have caused increasingly severe water resources shortage around the world. Studying on regional water carrying capacity is beneficial for the optimal management of water resources, and can provide assistance for the sustainable utilization of water resources. The typical karst area in China – Guizhou province was applied as the research area in the paper. Meanwhile, twelve indexes were selected from three perspectives including water supply, water demand and social economy to establish the evaluation index system of regional water carrying capacity. Afterwards, the analysis hierarchy process was utilized to construct the evaluation model of regional water resources carrying capacity, so as to evaluate, compare and analyze the regional water carrying capacity in each city of Guizhou province, China. This model verified the feasibility of the evaluation method. Relevant studies can provide certain theory evidence and method support for the investigation on regional water carrying capacity.

scholarly journals Evaluation and Prediction of Regional Water Resources Carrying Capacity: A Case Study of Shandong Province

2017 ◽  
Vol 7 (1) ◽  
pp. 21 ◽  
Author(s):  
Hongyan Liao ◽  
Yuabiao Zhang ◽  
Zhifeng Chen ◽  
Zexin Meng
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Arid Regions ◽  
Evaluation Model ◽  
Supply And Demand ◽  
Arima Model ◽  
Shandong Province ◽  
Water Resources Carrying Capacity ◽  
Regional Water

Growing pressure on the world’s water resources is having major impacts on us. In this paper, we discuss on water resources carrying capacity. We have a case study of Shandong Province which is one of the most arid regions in China. Considering the dynamics of water supply and demand, we combine the Falkenmark indicator and the binary dynamics model to establish an evaluation model of regional water resources carrying capacity. According to the result of our model, Shandong Province is heavily exploited. The per capita water resources in Shandong province were less than 300 m3 in the past ten years. The increasing destruction and increasing waste make the situation even worse. Then ARIMA model and BP neural network is combined to propose a prediction model. We use it to predict the supply and demand of water resources in Shandong Province in the next 15 years

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.

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