AI Article Synopsis
- The text discusses a coal mine accident in Spain during the seventies that resulted in the deaths of 28 miners and highlights the serious impact of such incidents.
- It presents two analytical methods used to understand the causes of the accident: the INSST method (classifying immediate and basic causes) and the Feyer and Williamson method (focusing on precursor events and contributing factors).
- The analysis identifies key contributing factors, including methane emissions, electrical installation issues, and inadequate safety procedures, offering lessons for preventing future accidents.
Article Abstract
There has been a long history of coal mine accidents and these, usually, involve serious injuries, fatalities, and the destruction of facilities. In the seventies, an explosion killed 28 miners in a Spanish coal mine. This paper gives insight into the main factors of the accident by means of the causation mode, using two well-known alternatives: (1) the method from the Spanish Instituto Nacional de Seguridad y Salud en el Trabajo (INSST), where the causes and circumstances of the accident are classified into immediate causes and basic causes, and (2) the Feyer and Williamson method, where the classification is done using precursor events and contributing factors. The analysis identifies the lessons to be learned from the disaster. Both methods have given very similar results, verifying the goodness of the analysis. Methane emissions due to a variation in the exploitation method, the electrical installation, and a lack of safety procedures and training were the main causes of the accident. These findings explain the real causes of this accident and can be very valuable for the prevention of future accidents.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6801938 | PMC |
| http://dx.doi.org/10.3390/ijerph16193615 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Dynamic Methane Emissions from China's Fossil-Fuel and Food Systems: Socioeconomic Drivers and Policy Optimization Strategies.
Environ Sci Technol
January 2025
State Key Laboratory of Marine Resources Utilization in South China Sea, School of Marine Science and Engineering, Hainan University, Haikou 570228, China.
In response to the 2023 "Action Plan for Methane Emission Control" in China, which mandates precise methane (CH) emission accounting, we developed a dynamic model to estimate CH emissions from fossil-fuel and food systems in China for the period 1990-2020. We also analyzed their socioeconomic drivers through the Logarithmic Mean Divisia Index (LMDI) model. Our analysis revealed an accelerated emission increase (850.
View Article and Find Full Text PDFInvestigating slope stability of multiple stopes prone to instability in the Ziluoyi iron ore mining site.
Sci Rep
January 2025
School of Safety Engineering, China University of Mining and Technology, Xuzhou, 221116, China.
The ore mining sites commonly experience slope instability, which is causing concern for the workers' safety and the operation's stability. Considering the Ziluoyi iron ore mining site as a case study, uniaxial compression strength and shear tests are performed on the lower disk peripheral rock, ore body, and upper disk peripheral rock, leading to the extraction of compressive strength and elastic modulus (lower disk: 77.7 MPa-9.
View Article and Find Full Text PDFMolecular structure characteristic of coals of different rank.
J Mol Model
January 2025
School of Chemical and Environmental Engineering, China University of Mining and Technology-Beijing, Haidian District, Ding No.11 Xueyuan Road, Beijing, 100083, People's Republic of China.
Context: Understanding the structural characteristics of coal at the molecular level is fundamental for its effective utilization. To explore the molecular structure characteristic, the long-flame coal from Daliuta (DLT), coking coal from Yaoqiao (YQ), and anthracite from Taixi (TX) were investigated using various techniques such as elemental analysis, Fourier transform infrared spectroscopy, solid-state C nuclear magnetic resonance spectroscopy, and X-ray photoelectron spectroscopy. Based on the structural parameters, the coal molecular model was constructed and optimized.
View Article and Find Full Text PDFProb-sparse self-attention extraction of time-aligned dynamic functional connectivity for ASD diagnosis.
Heliyon
January 2025
School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China.
Dynamic functional connectivity (DFC) has shown promise in the diagnosis of Autism Spectrum Disorder (ASD). However, extracting highly discriminative information from the complex DFC matrix remains a challenging task. In this paper, we propose an ASD classification framework PSA-FCN which is based on time-aligned DFC and Prob-Sparse Self-Attention to address this problem.
View Article and Find Full Text PDFPrevalence and Risk Factors of Lower Extremity Musculoskeletal Disorders Among Occupational Groups in Key Industries - China, 2018-2023.
China CDC Wkly
December 2024
National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
What Is Already Known About This Topic?: Lower extremity musculoskeletal diseases (LE-MSDs) have emerged as a significant contributor to the global disease economic burden and worker absenteeism, becoming a global public health concern. However, the epidemic characteristics of LE-MSDs among occupational populations in China are unknown.
What Is Added By This Report?: This report finds that the LE-MSDs prevalence rate among key occupational groups in China is 17.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!