Application of Cloud Theory and Set Pair Analysis Coupled Model for Evaluating Environmental Carrying Capacity in Tianjin

2014 ◽  
Vol 675-677 ◽  
pp. 377-381 ◽  
Author(s):  
Qi Si ◽  
Ming Chang Li
Keyword(s):  
Carrying Capacity ◽  
Coupled Model ◽  
Assessment Model ◽  
Set Pair Analysis ◽  
Membership Degree ◽  
Analysis Method ◽  
Environmental Carrying Capacity ◽  
Degree Function ◽  
Cloud Theory ◽  
Pair Analysis

Following the development of national economy, environmental pollution and ecological hazards has been resulted from the pollutant discharge and reclamation etc. So it is very important for evaluating the environmental carrying capacity for guiding the environmental management and control. In this paper, a systematic assessment model with detailed procedure for environmental carrying capacity is proposed, based on the combination of set pair analysis method and cloud theory. The membership degree function obtained from bell function in cloud theory is used for connection degree function in set pair analysis method. The normalization means of membership degree has advantageous of improving the reasonability of membership space. The calibration results of case study work well in Tianjin Binhai New District. This shows the coupled model has advantages of concision, easy-operation and high precision of set pair analysis method, and the randomness and ambiguity of assessment indexes’ membership can be reflected in the assessment procedure by using the cloud theory, so the assessment results are reliable and practical significance.

scholarly journals Application of Set Pair Analysis Method Based on Entropy Weight in Groundwater Quality Assessment -A Case Study in Dongsheng City, Northwest China

2011 ◽  
Vol 8 (2) ◽  
pp. 851-858 ◽  
Author(s):  
Li Pei-Yue ◽  
Qian Hui ◽  
Wu Jian-Hua
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Quality Assessment ◽  
Assessment Model ◽  
Set Pair Analysis ◽  
Analysis Method ◽  
Entropy Weight ◽  
Groundwater Quality Assessment ◽  
Pair Analysis

Groundwater quality assessment is an essential study which plays important roles in the rational development and utilization of groundwater. Groundwater quality greatly influences the health of local people. However, most traditional water quality comprehensive assessment methods which have complicated formulas are difficult to apply in water quality assessment. In this paper, a novel method for groundwater quality assessment called set pair analysis was introduced and entropy weight was assigned to each index to improve the assessment model. The calculation steps are depicted in the paper and take groundwater quality assessment in Dongsheng City as a case study. The assessment results indicated that groundwater qualities in the study area were relatively good, Set Pair Analysis method, which was an optimal method for groundwater quality assessment and worth promoting, was easy to use and calculation processes which use almost all the relative information were simple, results were reasonable, reliable and intuitive.

Safety Assessment of Railway Dangerous Goods Transportation Based on Set Pair Analysis

2013 ◽  
Vol 869-870 ◽  
pp. 288-292
Author(s):  
Dong Jie Liu ◽  
Zhen Lin Wei
Keyword(s):  
Safety Assessment ◽  
Assessment Model ◽  
Engineering System ◽  
Set Pair Analysis ◽  
System Research ◽  
Analytic Hierarchy ◽  
Dangerous Goods ◽  
Index Weight ◽  
Hierarchy Process ◽  
Pair Analysis

In order to overcome the drawbacks that occur when traditional safety assessment methods do not consider the certain and uncertain characteristics of information and in order to enhance the calculation efficiency, a new Identical Discrepancy Contrary (IDC) system is safety comprehensive assessment model based on Set Pair Analysis is established. Incorporating the Analytic Hierarchy Process (AHP) to obtain the index weight, this model analyses the uncertainties in the degree of connection acquired by assessment, and then makes the identical discrepancy contrary system research on the certainty and uncertainty of information in the engineering system.

scholarly journals Evaluation of Resource and Environmental Carrying Capacity of China’s Rapid-Urbanization Areas—A Case Study of Xinbei District, Changzhou

Land ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 69 ◽  
Author(s):  
Kaiyuan Li ◽  
Xiaolong Jin ◽  
Danxun Ma ◽  
Penghui Jiang
Keyword(s):  
Carrying Capacity ◽  
Urban Areas ◽  
Assessment Model ◽  
Current Status ◽  
Land Resource ◽  
Estimation Model ◽  
Mountain Areas ◽  
Rapid Urbanization ◽  
Environmental Carrying Capacity ◽  
Resource Characteristics

The evaluation of resource and environmental carrying capacity (RECC) is the foundation for the rationale behind the arrangement of land spaces for production, living, and ecological uses. In this study, based on various natural, economic, and social factors, an integrated Multi-Factor assessment model was developed to evaluate the RECC of Xinbei district of Changzhou. Meanwhile, we also calculated the population carrying capacity estimation model restricted by food security. The study comprehensively analyzed the current status and land resource characteristics of a rapid urbanization area and the RECC restrictions for protection and development. The results indicate that the comprehensive carrying capacity of Xinbei showed distinct spatial heterogeneity, with a decreasing trend from the riverside protection area to urban areas, then to mountain areas. Combined with the secure food supply provided by future land resources, it was estimated that the population carrying index of Xinbei would be as high as 1.25 and 1.22 in 2035 and 2050, respectively, indicating that both years would experience a population overload. Therefore, an urgent adjustment to the structure and layout of territorial space and resources of the Xinbei District is necessary.

Risk Degree Assessment of Natural Disasters in China Using Set Pair Analysis Method

2012 ◽  
Vol 518-523 ◽  
pp. 1273-1277
Author(s):  
Yun Xia Xie ◽  
Wen Sheng Wang
Keyword(s):  
Natural Disasters ◽  
Critical Issue ◽  
Set Pair Analysis ◽  
Analysis Method ◽  
Full Account ◽  
New Approach ◽  
Risk Degree ◽  
Assessment Standard ◽  
Pair Analysis

It is a critical issue to assess risk degree of natural disasters in China. Firstly the assessment indexes and assessment standard grades of natural disasters risk degree are established, then comes up with a new approach to assess risk degree of natural disasters: Set Pair Analysis Method (SPAM), finally acquires the risk degree grades of Chinese natural disasters based on SPAM. The SPAM takes the fuzzy of grade standards into full account, and is simple in concept and easy in calculation and application. The results of evaluation about Chinese natural disasters risk degree are credible.

A new approach to water resources system assessment — set pair analysis method

2009 ◽  
Vol 52 (10) ◽  
pp. 3017-3023 ◽  
Author(s):  
WenSheng Wang ◽  
JuLiang Jin ◽  
Jing Ding ◽  
YueQing Li
Keyword(s):  
Water Resources ◽  
Set Pair Analysis ◽  
Analysis Method ◽  
New Approach ◽  
Water Resources System ◽  
System Assessment ◽  
Pair Analysis

Hazard degree assessment of landslide using set pair analysis method

2011 ◽  
Vol 60 (2) ◽  
pp. 367-379 ◽  
Author(s):  
Wang Wensheng ◽  
Li Yueqing
Keyword(s):  
Set Pair Analysis ◽  
Analysis Method ◽  
Hazard Degree ◽  
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.

Sign in / Sign up

Export Citation Format

Share Document