Focusing on the patterns and characteristics of extraordinarily severe gas explosion accidents in Chinese coal mines

Zhang, Jinjia; Cliff, David; Xu, Kaili; You, Greg

doi:10.1016/j.psep.2018.05.002

Cited by 82 publications

(42 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…() analyzed the unsafe behaviors of gas explosions from three aspects: accident location, related craft, and equipment. Zhang, Cliff, Xu, and You () classified the characteristics of extraordinarily severe gas explosion accidents from the perspectives of gas accumulation, ignition sources, operating locations, accident time, coal mine region, and coal mine ownership. These studies focused on the human risk factors and objective risk factors in developing their models, but neglected the risk factors that are nonlinear, coupled, hierarchical, and induced by the coal mining operation system.…”

Section: Introductionmentioning

confidence: 99%

Causation Analysis of Risk Coupling of Gas Explosion Accident in Chinese Underground Coal Mines

Zhang

You

et al. 2019

Risk Analysis

Self Cite

View full text Add to dashboard Cite

The coal mine production industry is a complex sociotechnical system with interactive relationships among several risk factors. Currently, causation analysis of gas explosion accidents is mainly focused on the aspects of human error and equipment fault, while neglecting the interactive relationships among risk factors. A new method is proposed through risk coupling. First, the meaning of risk coupling of a gas explosion is defined, and types of risk coupling are classified. Next, the coupled relationship and coupled effects among risk factors are explored through combining the interpretative structural modeling (ISM) and the NK model. Twenty-eight representative risk factors and 16 coupled types of risk factors are obtained through analysis of 332 gas explosion accidents in coal mines in China. Through the application of the combined ISM-NK model, an eight-level hierarchical model of risk coupling of a gas explosion accident is established, and the coupled degrees of different types of risk coupling are assessed. The hierarchical model reveals that two of the 28 risk factors, such as state policies, laws, and regulations, are the root risk factors for gas explosions; nine of the 28 risk factors, such as flame from blasting, electric spark, and local gas accumulation, are direct causes of gas explosions; whereas 17 of the risk factors, such as three-violation actions, ventilation system, and safety management, are indirect ones. A quantitative analysis of the NK model shows that the probability of gas explosion increases with the increasing number of risk factors. Compared with subjective risk factors, objective risk factors have a higher probability of causing gas explosion because of risk coupling.

show abstract

Section: Introductionmentioning

confidence: 99%

Causation Analysis of Risk Coupling of Gas Explosion Accident in Chinese Underground Coal Mines

Zhang

You

et al. 2019

Risk Analysis

Self Cite

View full text Add to dashboard Cite

show abstract

“…According to the above definition, this paper divides the life cycle of CBM development into three main stages: Resource exploration, resource exploitation, and gathering and market operation. The risk characteristics of these three stages were analyzed, and the risk factors were summarized into the following six categories: (1) Risks of laws, regulations and policies; (2) risks of resource characteristics; (3) risks of engineering and technology; (4) risks of economic operations; (5) risks of organization and management; and (6) risks of safety and emergency protection.…”

Section: Construction Of Index Systemmentioning

confidence: 99%

“…(5) Based on the previous results and Equations (5) and (6), the blind understanding degree σ j for the indexes from all experts could be obtained. Then, the evaluation vector X could be calculated according to the blind understanding degree σ j and Equation (7).…”

Section: Calculation Of the Index Weightmentioning

confidence: 99%

“…Since 1949, 126 severe gas explosion accidents (defined as killing 30 or more people in one accident) have occurred, and 7502 people have died [3]. These accidents have not only caused serious casualties and property losses, but have also had a serious negative impact on society [4,5]. The development of CBM can not only improve environmental pollution [6], but also fundamentally reduce the methane content in the coal seam, which is beneficial to reducing the occurrence of coal mine gas explosions [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Risk Assessment Model of Coalbed Methane Development Based on the Matter-Element Extension Method

et al. 2019

View full text Add to dashboard Cite

Coalbed methane development represents a complex system engineering operation that involves complex technology, many links, long cycles, and various risks. If risks are not controlled in a timely and effective manner, project operators may easily cause different levels of casualties, resource waste and property loss. To evaluate the risk status of coalbed methane development projects, this paper constructs a coalbed methane development risk assessment index system that consists of six first grade indexes and 45 second grade indexes. The weight of each index is calculated based on the structure entropy weight method. Then, a theoretical model for risk assessments of coalbed methane development is established based on the matter-element extension method. Finally, the model is applied to analyze a coalbed methane development project in the southern Qinshui Basin of China. The results show that the overall risk level of the coalbed methane development project is Grade II, indicating that the overall risk of the project is small, but the local risk of the project needs to be rectified in time. The assessment results are consistent with the actual operation of the project, indicating that the established risk assessment model has good applicability and effectiveness.

show abstract

“…With rapid economic growth comes an increase in the quality of the standard of living (Xu & Xu, ; Xu, Xu, Yao, Zhang, & Wang, ; Xu, Xu, Yao, Li, & Li, ; Yan & Xu, ; Zhang, Cliff, Xu, & You, ). Since wine has been integrated into society, more attention is being paid to wine quality.…”

Section: Introductionmentioning

confidence: 99%

Quality evaluation of Chinese red wine based on cloud model

2019

J Food Biochem

Self Cite

View full text Add to dashboard Cite

Determining the quality of red wine is based on many qualitative and quantitative factors. Compared with other evaluation methods, the cloud model has an uncertainty transformation between a qualitative concept and its corresponding quantitative value, and the uncertainty transformation included fuzziness and randomness, which is suitable for solving the complexity of red wine evaluation. This study introduced the cloud model into quality evaluation of red wine for the first time, and a novel algorithm of comprehensive cloud model was proposed based on an addition algorithm of two cloud models. Furthermore, to validate the cloud model adopted in our red wine evaluation system, we used the gray relational analysis and fuzzy evaluation method. The evaluation result for the red wine sample was Good, and the result confirmed that our cloud model can be used to evaluate the quality of red wine. Practical applications In 2013, China surpassed France to become the largest country of red wine consumption in the world. Red wine is made by a natural fermentation process. There are several components that make up red wine, but the most abundant is grape juice. Ethyl alcohol is the second most abundant element and it is made naturally by the fermentation of the sugar in grape. There are more than 1,000 remaining components in the recipe for red wine, where 300 are comparatively important. Although the proportion of these components is not high, they are important factors in determining the quality of red wine. Sensory evaluation is the most common method used to determine the quality of red wine. This work has identified a cloud model that can be used, based on sensory evaluation, to determine the quality of red wine.

show abstract

Focusing on the patterns and characteristics of extraordinarily severe gas explosion accidents in Chinese coal mines

Abstract: Focusing on the patterns and characteristics of extraordinarily severe gas explosion accidents in Chinese coal mines.Process Safety and Environment Protection

Cited by 82 publications

References 21 publications

Causation Analysis of Risk Coupling of Gas Explosion Accident in Chinese Underground Coal Mines

Causation Analysis of Risk Coupling of Gas Explosion Accident in Chinese Underground Coal Mines

A Risk Assessment Model of Coalbed Methane Development Based on the Matter-Element Extension Method

Quality evaluation of Chinese red wine based on cloud model

Contact Info

Product

Resources

About