scholarly journals Study and Application of Safety Risk Evaluation Model for CO2Geological Storage Based on Uncertainty Measure Theory

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Hujun He ◽  
Yaning Zhao ◽  
Xingke Yang ◽  
Yaning Gao ◽  
Xu Wu
Keyword(s):  
Information Entropy ◽  
Risk Evaluation ◽  
Measure Theory ◽  
Evaluation Model ◽  
Risk Level ◽  
Uncertainty Measure ◽  
Geological Storage ◽  
Safety Risk ◽  
Uncertainty Measurement ◽  
Index Weight

Analyzing showed that the safety risk evaluation for CO2geological storage had important significance. Aimed at the characteristics of CO2geological storage safety risk evaluation, drawing on previous research results, rank and order models for safety risk evaluation of CO2geological storage were put forward based on information entropy and uncertainty measure theory. In this model, the uncertainty problems in safety risk evaluation of CO2geological storage were solved by qualitative analysis and quantitative analysis, respectively; uncertainty measurement functions for the relevant factors were established based on experimental data; information entropy theory was applied to calculate the index weight of factors; safety risk level was judged based on credible degree recognition criterion and ordered. This model was applied in three typical zones of Erdos and Hetao basins. The results show that uncertainty measure method is objective and reasonable and can be used as a new way to evaluate the safety of CO2geological storage sites in the future.

Effect Evaluation of Bench Blasting Based on Unascertained Measurement Model

2014 ◽  
Vol 1033-1034 ◽  
pp. 1377-1380
Author(s):  
Tie Jun Tao ◽  
Jian Hua Zhang ◽  
En An Chi ◽  
Ming Sheng Zhao ◽  
Qiang Kang
Keyword(s):  
Evaluation Model ◽  
Measurement Theory ◽  
Influence Factors ◽  
Measurement Model ◽  
Evaluation Index ◽  
Actual Situation ◽  
Effect Evaluation ◽  
Uncertainty Measurement ◽  
Bench Blasting ◽  
Index Weight

In order to resolve the uncertainty problem of influence factors in effect evaluation of bench blasting, the effect evaluation model of bench blasting based on uncertainty measurement theory was built, then this model was used to evaluate the bench blasting effect in Hongshuitai flat engineering. The evaluation results show that: the information entropy and confidence identifying criterion were respectively used to ascertain the evaluation index weight and identifying criterion, by these ways, the evaluation results of this model are more objective; and the evaluation index can be selected flexibly according to actual situation, the calculation of evaluation model is simple, so the evaluation results can offer decision basis for blasting workers to make timely adjustment of the blasting scheme.

scholarly journals Bus passenger flow congestion risk evaluation model based on the Pressure-State-Response framework: A case study in Beijing

2019 ◽  
Vol 103 (1) ◽  
pp. 003685041988356 ◽  
Author(s):  
Siyong Ma ◽  
Jiancheng Weng ◽  
Chang Wang ◽  
Dimitrios Alivanistos ◽  
Pengfei Lin
Keyword(s):  
Network Flow ◽  
Risk Evaluation ◽  
Travel Demand ◽  
Evaluation Model ◽  
Risk Identification ◽  
Risk Level ◽  
Transit System ◽  
State Response ◽  
Passenger Flow ◽  
Pressure State

Urban public transport is a very essential mode for urban residents’ commute travel; however, the unbalanced spatial and temporal distribution of travel demand usually leads to passenger flow congestion risk at certain section and time. Meanwhile, the risk is short of quantified description. Based on the Pressure-State-Response framework, the study puts forward three bus passenger flow congestion risk evaluation indexes including the alternative pressure, the congestion intensity, and the transport efficiency. Then, the evaluation model is proposed based on the entropy method, and the risk is divided into four levels by K-means clustering. The article considers the 3rd Ring Road corridor in Beijing as a case to identify the risk level. The results show that the risk in the peak hours of weekdays is generally about 1.5 times higher than the risk in the weekends. The congestion risk is stable in level 3 during the majority time of morning peak hours. The duration intensity of level 4 risk is less than 0.1 during weekdays, indicating that the highest flow congestion can be quickly evacuated in a short time. The integrated passenger risk identification and evaluation model was proposed to identify the passenger flow risk level and induce the network flow distribution more reasonable. The study also provides technical support for ensuring the public transit system safety.

Study on Safety Risk Evaluation of High-Way Under-Passing Railroad

2013 ◽  
Vol 838-841 ◽  
pp. 1263-1267
Author(s):  
Ke Xu ◽  
Hui Min Li ◽  
Sha Sha Lu
Keyword(s):  
Scientific Method ◽  
Risk Evaluation ◽  
High Speed ◽  
Evaluation Model ◽  
Safety Evaluation ◽  
Support Vector ◽  
Safety Risk ◽  
Sample Data ◽  
Current Stage ◽  
Risk Evaluation Model

It is inevitable to make the new-built highways under-pass the existing railroad by virtue of high-speed development of the transportation in China. Since the relevant surveys on the safety risk evaluation of this kind of the project are lacked at this current stage as well as the limited referential sample data, the survey is to research the factors of safety risk and the self-characteristics as well as to build up the safety risk evaluation model by means of support vector machine plus the analysis with the help of the project example. It turns out that the analyzed result by means of the model has the propinquity with the expected result, as means the model with the limited samples is characterized of improving the objective correctness of the evaluation result in order to supply a scientific method for the safety evaluation of this kind of projects.

Risk assessment on drug production safety based on Grey-Analytic Network Process

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiaojiao Ge ◽  
Benhong Peng ◽  
Guo Wei ◽  
Anxia Wan
Keyword(s):  
Risk Factors ◽  
Risk Evaluation ◽  
Risk Index ◽  
Analytic Network Process ◽  
Risk Level ◽  
Safety Risk ◽  
Content Type ◽  
Drug Production ◽  
Production Safety ◽  
Network Process

PurposeTo strengthen the correlation analysis on risk factors of drug production safety and reduce the influence due to fuzzy judgments, a safety risk assessment method based on Grey-Analytic Network Process (G-ANP) is proposed.Design/methodology/approachFirst, an index system evaluating drug production safety risk is constructed according to the “Good Manufacture Practice of Medical Products,” next the influence weight of each risk index is derived by using the Analytic Network Process, then the grey number of each risk index is determined by further utilizing the grey statistical theory, and finally the risk level of drug production is obtained.FindingsAn empirical study is conducted and the results support the feasibility and practicability to use G-ANP method for drug production safety risk evaluation. The results of the case show that it is feasible and practical to use G-ANP method for drug production safety risk evaluation.Originality/valueThe innovation lies in the use of G-ANP method to fully consider the interdependence and interaction between the risk factors of drug production safety, which improves the objectivity in judging the risk level of drug production and provides a scientific basis for pharmaceutical manufacturers to formulate further decisions and management in the case of insufficient quantification of risk factors. Based on the findings, more targeted suggestions are made to reduce the production risk of pharmaceutical enterprises.

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