Research on Dynamic Assessment Method of Earthquake Scene Rescue Performance Based on AHP and Cloud Model

Huang, Sining; Chen, Yupeng; Feng, Xi; Qiao, Tiezhu; Yu, Dandan; Yang, Yong

doi:10.3390/math10020207

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…Improving the Analytic Hierarchy Process to determine subjective weights Ten experts from the China University of Mining and Technology (Beijing), Chongqing University, Henan Polytechnic University, Chongqing Coal Research Institute, Shandong University of Science and Technology, Southwest Mining Co., Ltd., and other industrial mining companies were invited to score the indicators, in order to achieve a comprehensive evaluation for the risk of water inrush from bed separation and use a normal distribution to correct the weights of the experts' scores with significant differences [46]. The final subjective weight W1 (j) was obtained, where j is the weight of each indicator.…”

Section: Risk Assessment Of Water Inrush In the Bed Separation Based ...mentioning

confidence: 99%

Bed Separation Formation Mechanism and Water Inrush Evaluation in Coal Seam Mining under a Karst Cave Landform

Gao,

Xu,

et al. 2023

Processes

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Understanding the formation mechanism of bed separation in coal seam mining under a karst landform is needed for the prevention and control of roof-separated water damage in such areas. This research used a mine in the northern Guizhou coalfield, China, as a case study, and applied theoretical analysis, numerical simulation, and on-site measurement to develop a circular cave structure model in a key stratum. The dynamic evolution of a separation bed was analyzed from several aspects, including the formation mechanism, development location, the mechanical condition of local karst caves, fracture evolution, and fractal rules. Verification using in situ measurements is presented for the case study mine, and a quantitative evaluation method for water inrush from bed separation and improved fusion weighting is proposed based on a cloud model. The research results indicate the following: (1) Tensile cracks are prone to occur above and below a karst cave, which produce an impact of connectivity on the separated space. (2) When the working face advances to 270 m in coal mining, longitudinal tensile cracks below the karst cave gradually increase and the width of the bed separation crack shrinks to 68.2 m, with a maximum separation layer height of 3.01 m. (3) Based on the cloud model and the improved weighted fusion method, the risk of water inrush in bed separation is judged as “high”. The En of the cloud digital features is 0.0622 and the He is 0.0307, achieving a quantitative evaluation of water inrush in the separation layer that is consistent with on-site practice, and is highly stable and reliable. This study improves the understanding of the development pattern of bed separation and water inrush risk assessment in coal seam mining under a karst cave landform.

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Section: Risk Assessment Of Water Inrush In the Bed Separation Based ...mentioning

confidence: 99%

Bed Separation Formation Mechanism and Water Inrush Evaluation in Coal Seam Mining under a Karst Cave Landform

Gao,

Xu,

et al. 2023

Processes

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“…As can be seen, massive earthquake disasters have a large impact range and affect many areas and people, causing serious damage to people's production and livelihoods and even devastating consequences. After an earthquake, rapid and effective emergency relief operations become the most effective means to reduce earthquake-induced loss and casualties [4,5], which is conducive to promoting social stability and sustainable development. The main participants in earthquake emergency rescue operations are rescuers, and scheduling rescuers to carry out tasks in disaster areas is a central part of the earthquake response [6,7].…”

Section: Introductionmentioning

confidence: 99%

Post-Earthquake Scheduling of Rescuers: A Method Considering Multiple Disaster Areas and Rescuer Collaboration

Cao

Zheng

2023

Sustainability

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Reasonable and efficient scheduling of rescuers plays a crucial role in earthquake emergency relief, which can effectively reduce disaster losses and promote social stability and sustainable development. Due to the suddenness of disasters, the urgency of time, and the complexity of rescue efforts, scheduling of rescuers often involves multiple disaster areas, multiple departure areas, and diverse rescue tasks. However, most existing studies have paid little attention to the scheduling problem of rescuers considering multiple disaster areas, multiple departure areas, and multiple rescue tasks and have not comprehensively considered the collaboration of rescuers and task requirements. Thus, how to reasonably dispatch rescuers to disaster areas by considering the collaboration of rescuers and task needs is a noteworthy research problem. The objective of this paper is to propose a method considering multiple disaster areas and the collaboration of rescuers to solve the scheduling problem of rescuers after earthquakes. Firstly, the collaborative degrees of rescuers are calculated according to the collaborative performance among rescuers concerning collaborative feature indicators. Secondly, according to the performance of rescuers concerning professional skill evaluation indicators, the professional abilities of rescuers are calculated, and the comprehensive performance indicators for rescuers are obtained by aggregating the collaborative degrees and the professional abilities of rescuers. Thirdly, the time satisfaction degrees are calculated based on the times taken by rescuers from different departure areas to disaster areas and the time requirements of disaster areas. Then, the time satisfaction degrees and the comprehensive performance of rescuers are aggregated to obtain the comprehensive matching degrees. Furthermore, a rescuer scheduling model for earthquake emergency rescue is constructed to maximize the comprehensive matching degrees between rescuers and rescue tasks, and the optimal scheduling scheme is determined by solving the model. Finally, a case study and comparative analyses are presented to verify the rationality and feasibility of the proposed method. The results show that the proposed method can reasonably assign rescuers to quickly respond to the needs of rescue tasks in disaster areas, and is better than the other two methods in terms of rescue comprehensive capability evaluation. The proposed method can provide decision support for solving the post-earthquake scheduling problem of rescuers and help to improve the emergency response ability for large-scale geological disaster events.

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Analysis of Atmospheric Precursors at the Time of the Earthquake Using Satellite Images

Salimi,

Akbary,

Hosseini

et al. 2024

J Indian Soc Remote Sens

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Research on Dynamic Assessment Method of Earthquake Scene Rescue Performance Based on AHP and Cloud Model

Cited by 4 publications

References 32 publications

Bed Separation Formation Mechanism and Water Inrush Evaluation in Coal Seam Mining under a Karst Cave Landform

Bed Separation Formation Mechanism and Water Inrush Evaluation in Coal Seam Mining under a Karst Cave Landform

Post-Earthquake Scheduling of Rescuers: A Method Considering Multiple Disaster Areas and Rescuer Collaboration

Analysis of Atmospheric Precursors at the Time of the Earthquake Using Satellite Images

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