Journal of Loss Prevention in The Process Industries最新文献

A physics-informed data-driven model applied for gas dispersion 应用于气体分散的物理数据驱动模型

IF 3.6 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2025-06-18 DOI: 10.1016/j.jlp.2025.105703

Guilherme Milhoratti Lopes, Flávio Vasconcelos da Silva, Sávio Souza Venâncio Vianna

{"title":"A physics-informed data-driven model applied for gas dispersion","authors":"Guilherme Milhoratti Lopes, Flávio Vasconcelos da Silva, Sávio Souza Venâncio Vianna","doi":"10.1016/j.jlp.2025.105703","DOIUrl":"10.1016/j.jlp.2025.105703","url":null,"abstract":"<div><div>Gas dispersion calculations are essential for numerous applications. While the gas flow behaviour can be theoretically described by the Navier–Stokes equations, obtaining numerical solutions poses significant computational challenges, due to the demanding computational time involved. In this study, we tackle these challenges by leveraging the power of physics-informed neural networks (PINNs). PINNs integrate the underlying physics of the problem directly into the architecture of the neural network. By incorporating the Navier–Stokes equations within the framework of neural networks, our approach accounts for the fundamental physics governing gas dispersion. We use an in-house Computational Fluid Dynamics (CFD) code and commercial software to generate the required dataset. Our results demonstrate that the model is robust and capable of providing rapid solutions to gas dispersion problems. This efficiency is particularly noteworthy when compared to the considerable computational time required for traditional CFD calculations. Therefore, our approach offers a promising alternative for efficient and accurate gas dispersion simulations in process safety applications.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"97 ","pages":"Article 105703"},"PeriodicalIF":3.6,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental study on the risk of explosion from hydrogen-air mixtures in confined and semi-confined concrete structures 密闭和半密闭混凝土结构中氢气-空气混合物爆炸危险性的试验研究

IF 3.6 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2025-06-17 DOI: 10.1016/j.jlp.2025.105712

Unggi Yoon , Joonsik Kim , Byoungjik Park , Inju Hwang , Wookyung Kim , Yangkyun Kim

{"title":"Experimental study on the risk of explosion from hydrogen-air mixtures in confined and semi-confined concrete structures","authors":"Unggi Yoon , Joonsik Kim , Byoungjik Park , Inju Hwang , Wookyung Kim , Yangkyun Kim","doi":"10.1016/j.jlp.2025.105712","DOIUrl":"10.1016/j.jlp.2025.105712","url":null,"abstract":"<div><div>When constructing hydrogen infrastructure in confined or semi-confined spaces, the significance of ventilation systems increases, necessitating measures to mitigate explosion damage. This study experimentally investigated the risk of hydrogen explosions in such spaces and analyzed the effectiveness of explosion venting in reducing internal explosion pressure. The experiments were conducted in concrete structures filled with a hydrogen-air mixture. The results showed that explosion venting substantially reduced internal explosion pressure; the maximum pressure difference between confined and semi-confined conditions was approximately 14.3 times, with significant pressure reduction observed under confined conditions due to the presence of a minimal vent area. In confined spaces, the probability of fatalities from concrete fragments generated by the blast wave, which could scatter up to approximately 80 m from the structure, ranged from 0.065 % to over 99 %, indicating a lethal threat to humans. Conversely, in semi-confined spaces equipped with explosion venting, the maximum external peak overpressure measured was 3.44 kPa, posing no significant harm to humans. These findings confirm that incorporating a minimal explosion vent area in confined or semi-confined spaces can significantly reduce both property and human damage by lowering internal explosion pressures.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"97 ","pages":"Article 105712"},"PeriodicalIF":3.6,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental study on the influence of three typical surfactants on the explosion characteristics of coal dust clouds 三种典型表面活性剂对煤尘云爆炸特性影响的实验研究

IF 3.6 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2025-06-17 DOI: 10.1016/j.jlp.2025.105716

Lingfeng Wang , Zhengdong Liu , Jinglin Zhang , Zhenguo Du , Shikai Bao , Zhiyang Zhang , Chang Li , Chunmiao Yuan

{"title":"Experimental study on the influence of three typical surfactants on the explosion characteristics of coal dust clouds","authors":"Lingfeng Wang , Zhengdong Liu , Jinglin Zhang , Zhenguo Du , Shikai Bao , Zhiyang Zhang , Chang Li , Chunmiao Yuan","doi":"10.1016/j.jlp.2025.105716","DOIUrl":"10.1016/j.jlp.2025.105716","url":null,"abstract":"<div><div>The extensive application of surfactants in wet dust removal technology may alter the combustion and explosion risk characteristics of coal dust. This is of great engineering significance for the safety prevention and control in the process industry. To assess the impact mechanism of surfactant treatment on the safety parameters of dust explosion, this study selected three typical surfactants (SDS, Triton™ X 100, and CTAB) and systematically investigated the evolution rules of the explosion hazards of coal dusts with different degrees of coalification (lignite, bituminous coal, anthracite).Using a 20-L explosion chamber, the explosion parameters (P<sub>max</sub>, (dP/dt)<sub>max</sub>) were measured. The thermodynamic behavior and functional group evolution were analyzed by integrating TG/DTG-DSC and FTIR techniques. The study revealed that the regulation of explosion intensity by surfactants is coal rank dependent. Specifically, SDS treatment significantly enhanced the explosion pressure of lignite (with a 13.0 % increase in P<sub>max</sub>) while inhibiting the explosion reaction of anthracite. Triton™ X-100 generally reduced the explosion risk but exhibited coal-ank sensitivity (the inhibition efficiency of lignite was merely 18.7 % of that of anthracite).Mechanistic studies indicate that surfactants alter the reaction pathway by regulating the key active sites (hydroxyl/oxygen-containing functional groups) of coal-oxygen recombination. Hydroxyl groups play a dominant role in the explosion-enhancing effect of low-rank coal, while the explosion inhibition of high-rank coal is associated with the recombination of oxygen-containing groups. This research uncovers the dual-safety effects of surfactants in the dust-removal process and offers a theoretical foundation for the risk-graded prevention and control of wet dust-suppression systems in the process industry.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"98 ","pages":"Article 105716"},"PeriodicalIF":3.6,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144330222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Influence of iron oxides on thermal stability of tert-butyl peroxybenzoate 氧化铁对过氧苯甲酸叔丁酯热稳定性的影响

IF 3.6 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2025-06-16 DOI: 10.1016/j.jlp.2025.105708

Wenhe Wang , Shaoyu Hu , Xuekun Jia , Shunchieh Chang , Chi-Min Shu

{"title":"Influence of iron oxides on thermal stability of tert-butyl peroxybenzoate","authors":"Wenhe Wang , Shaoyu Hu , Xuekun Jia , Shunchieh Chang , Chi-Min Shu","doi":"10.1016/j.jlp.2025.105708","DOIUrl":"10.1016/j.jlp.2025.105708","url":null,"abstract":"<div><div>Tert-butyl peroxybenzoate (TBPB), a common C-type organic peroxide (OP), is widely used in numerous fields of industrial production. The presence of impurities has been identified as a factor affecting the thermal stability of OPs, heightening the interest in OPs and their reactivity. This study scrutinized the thermal decomposition effect of various iron oxides (Fe<sub>2</sub>O<sub>3</sub>, FeO, and Fe<sub>3</sub>O<sub>4</sub>) on TBPB by simultaneous thermal analyzer (STA), differential scanning calorimetry (DSC), and Fourier transform infrared spectroscopy (FTIR). The data from the experiments formed a sound linear fit, and the thermokinetic parameters of TBPB under the action of the samples with iron oxides, were calculated. The apparent activation energy obtained by the Kissinger and Flynn-Wall-Ozawa methods agreed that iron oxides attenuated the thermal stability of TBPB. FTIR was used to analyze changes in the characteristic peaks of the product, and possible reaction paths were calculated by Gaussian software from the molecular structure perspective. The reaction heat and energy barrier values were calculated to evaluate the effect of iron oxides on the decomposition pathways of TBPB. The results provided valuable reference values that can help prevent unintended combustion and explosion. In addition, the findings informed process safety engineers to properly select materials while manufacturing safety and containment equipment.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"97 ","pages":"Article 105708"},"PeriodicalIF":3.6,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Uncertainty management in oil depot risk assessment: Current approaches, challenges, and future directions 油库风险评估中的不确定性管理：当前方法、挑战和未来方向

IF 3.6 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2025-06-14 DOI: 10.1016/j.jlp.2025.105711

Shuyi Xie , Xixiang Zhang , Jinheng Luo , Gang Wu , Shaohua Dong

{"title":"Uncertainty management in oil depot risk assessment: Current approaches, challenges, and future directions","authors":"Shuyi Xie , Xixiang Zhang , Jinheng Luo , Gang Wu , Shaohua Dong","doi":"10.1016/j.jlp.2025.105711","DOIUrl":"10.1016/j.jlp.2025.105711","url":null,"abstract":"<div><div>This paper presents a systematic review and forward-looking analysis of uncertainty management in oil depot risk assessments. Current research underscores that dynamic risk assessment has become the dominant method for evaluating oil depot risks, enabling effective identification of risk fluctuations and providing dynamic risk warnings and decision support. Given the critical role of oil depots in national energy infrastructure, ensuring their reliability and safety is essential for safeguarding energy security. However, significant challenges persist in addressing cognitive and aleatory uncertainties. Existing approaches often rely on fuzzy logic and expert elicitation to manage cognitive uncertainty, yet the subjectivity and variability among experts can introduce uncertainties in weight assignments, potentially undermining decision accuracy. Future studies should investigate fuzzy cognitive maps and data-driven methods to mitigate these effects. For aleatory uncertainty, while conventional probability statistics are widely used, further advancements are required to enhance computational efficiency and accuracy. Promising solutions include grey system theory, Bayesian networks, and multi-source information fusion techniques, which offer improved approaches for handling aleatory uncertainty. Developing robust risk assessment frameworks is crucial for protecting energy infrastructure, ensuring the continuity of energy supply, and preventing catastrophic failures. Future research should focus on comprehensive uncertainty management frameworks, improved data quality, and the integration of Internet of Things (IoT) and artificial intelligence technologies to enhance the scientific rigor and reliability of oil depot risk assessments. These advancements will not only bolster operational safety but also ensure the long-term stability of energy security.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"97 ","pages":"Article 105711"},"PeriodicalIF":3.6,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigating the effect of random packing on flame quenching and explosion pressure suppression 研究了随机填料对火焰淬火和爆炸压力抑制的影响

IF 3.6 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2025-06-13 DOI: 10.1016/j.jlp.2025.105710

Shoutao Ma , Rusong Shang , Hongwei Zhu , Wei Xu , Bing Sun

{"title":"Investigating the effect of random packing on flame quenching and explosion pressure suppression","authors":"Shoutao Ma , Rusong Shang , Hongwei Zhu , Wei Xu , Bing Sun","doi":"10.1016/j.jlp.2025.105710","DOIUrl":"10.1016/j.jlp.2025.105710","url":null,"abstract":"<div><div>Gas-phase oxidation processes are crucial chemical reaction processes widely utilized in the production of various raw materials, intermediates, and products in several industries. Due to the fact that the raw materials in these reactions primarily consist of flammable gases, the presence of a certain concentration of oxygen in the reactant leads to the formation of a combustible system. In such cases, ignition sources can cause explosions, posing serious safety risks to personnel and equipment. In this study, the use of porous inert random packing to quench propylene-air flame was innovatively proposed, and the performance of various types of porous inert packing in extinguishing flames and reducing the maximum explosion pressure was also investigated by self-made detonation tube. The results show that the flame of 8 % C<sub>3</sub>H<sub>6</sub>-92 % air premixed gas can be effectively quenched within 20 cm by filling the random packing in a pipe with a diameter of 20 mm at the pressure of 110 kPa and 160 kPa. Raschig ring packing can control the flame quenching distance within 5 cm. When the initial pressure of premixed gas is 110 kPa, implementation of Dixon ring packing achieves a 13.3 % reduction in maximum explosion overpressure relative to the empty chamber configuration. In addition, the effects of hydrogen on flame quenching distance and explosion pressure rise were also performed, and the flame quenching distance and explosion are all increased compared with the system of C<sub>3</sub>H<sub>6</sub>-9air premixed gas. Furthermore, the random packing of Pall rings cannot quench the flame of premixed gas with hydrogen addition because of its large porosity which leads to poor wall efficiency. These experimental findings provide theoretical support and guidance for the development of new types of intrinsically safe gas-solid phase reactors and offer a strategy for conducting gas-phase oxidation reactions within the explosive limit range.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"97 ","pages":"Article 105710"},"PeriodicalIF":3.6,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144271124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling CO2 leak and dispersion from injection wells and surface facilities using machine learning 利用机器学习模拟注入井和地面设施的二氧化碳泄漏和分散

IF 3.6 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2025-06-13 DOI: 10.1016/j.jlp.2025.105709

Mohamed Abdalla , Mohammed Alrasheed , Qingsheng Wang

{"title":"Modeling CO2 leak and dispersion from injection wells and surface facilities using machine learning","authors":"Mohamed Abdalla , Mohammed Alrasheed , Qingsheng Wang","doi":"10.1016/j.jlp.2025.105709","DOIUrl":"10.1016/j.jlp.2025.105709","url":null,"abstract":"<div><div>This study presents a novel machine learning–based approach for real-time predictions of CO<sub>2</sub> leak and dispersion from injection wells and surface facilities. A comprehensive dataset was generated using PHAST simulations under worst-case scenarios, specifically targeting two critical CO<sub>2</sub> concentration thresholds, 30,000 ppm (ACGIH STEL) and 40,000 ppm (IDLH). Key operational parameters, including operating temperature (0–100 °C), operating pressure (1–250 bar), and leak diameter (1–12 inches), were systematically varied while maintaining other parameters fixed at conservative values, and considering two atmospheric stability classes (F and D) with corresponding surface wind speeds (1.5 m s<sup>−1</sup> and 5 m s<sup>−1</sup>) respectively. Multiple machine learning models were trained on this high-fidelity dataset, and the model performances were evaluated. The Artificial Neural Network (ANN) model emerged as the top performer, achieving high predictive accuracy (R<sup>2</sup> ≈ 0.9996 on test data) with minimal error. Extensive diagnostic analyses, including residual, cumulative error, and leverage evaluations, confirmed the model's robustness and generalizability. The final predictive model was integrated into an interactive application, enabling rapid hazard assessment, and offering a significant reduction in computational cost compared to traditional Computational Fluid Dynamics (CFD) methods. This work provides a scalable framework for enhancing emergency response and process safety in CO<sub>2</sub>-intensive industrial environments.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"97 ","pages":"Article 105709"},"PeriodicalIF":3.6,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A simplified model for rainout estimation for two phase releases of alternative liquified fuels 替代液化燃料两阶段释放的降雨估算简化模型

IF 3.6 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2025-06-12 DOI: 10.1016/j.jlp.2025.105693

Raymond Quek , Vinh-Tan Nguyen , Venugopalan Raghavan , Chang Wei Kang , He Zhimin , Lim Boon How

{"title":"A simplified model for rainout estimation for two phase releases of alternative liquified fuels","authors":"Raymond Quek , Vinh-Tan Nguyen , Venugopalan Raghavan , Chang Wei Kang , He Zhimin , Lim Boon How","doi":"10.1016/j.jlp.2025.105693","DOIUrl":"10.1016/j.jlp.2025.105693","url":null,"abstract":"<div><div>The adoption of alternative fuels in the energy and transport sectors is strategically important for achieving decarbonization goals. However, managing the risks associated with accidental leakages from storage and transfer of these fuels – such as LNG, ammonia, and methanol – is essential for their safe handling and usage. These leakages can lead to complex release dynamics due to phase changes when the fuel transitions from high-pressure storage to ambient conditions, resulting in a mixture of liquid and gas phases. Quantifying the liquid content after such leaks, referred to as rainout, is particularly challenging. This work presents an approach to estimate the rainout fraction from accidental liquid fuel releases using simplified equations for flow dynamics and two-phase physics. A relative time scale parameter is derived to determine rainout occurrence, and the resulting model is calibrated with our recent field experiments via a simple regression technique. The model is validated with historical experimental data and compared with existing models, demonstrating reliable order-of-magnitude predictions of rainout fractions across various substances and storage conditions. This simplified model provides a rapid estimation tool for rainout fraction as an input into subsequent dispersion analysis.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"97 ","pages":"Article 105693"},"PeriodicalIF":3.6,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Knowledge graph-based alarm management in petrochemical enterprises: A study on fusion and analysis of multi-source heterogeneous information 基于知识图的石化企业报警管理：多源异构信息融合与分析研究

IF 3.6 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2025-06-10 DOI: 10.1016/j.jlp.2025.105706

Xiaomiao Song , Fabo Yin , Dongfeng Zhao

{"title":"Knowledge graph-based alarm management in petrochemical enterprises: A study on fusion and analysis of multi-source heterogeneous information","authors":"Xiaomiao Song , Fabo Yin , Dongfeng Zhao","doi":"10.1016/j.jlp.2025.105706","DOIUrl":"10.1016/j.jlp.2025.105706","url":null,"abstract":"<div><div>In response to the increasing emphasis on alarm management in the petrochemical industry, there has been an explosive growth in relevant information. However, this information is often scattered across different systems and databases, stored in various forms such as documents, tables, and images, making it challenging to uniformly store, share, and utilize multi-source heterogeneous information. This commonly leads to the problem of “Information Islands.” In order to effectively leverage knowledge in the field of alarm management in the petrochemical industry and overcome the challenge of non-interoperable information, a method for fusing multi-source heterogeneous information in petrochemical enterprise alarm management based on knowledge graph is proposed. This method aims to standardize the management of alarm-related information and achieve information fusion. Initially, the approach utilizes data from petrochemical enterprises and publicly available data in the field of alarm management to establish both local and global ontologies. Subsequently, mapping algorithms are designed to achieve a more accurate construction of the hybrid ontology. Based on this foundation, a knowledge graph for alarm management in the petrochemical industry is established. Additionally, corresponding modules for information storage and retrieval are developed. Through the application demonstration using real alarm management information from a petrochemical enterprise, the results indicate that the proposed method for fusing multi-source heterogeneous information in petrochemical enterprise alarm management can effectively achieve information fusion.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"97 ","pages":"Article 105706"},"PeriodicalIF":3.6,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144271262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantitative evaluation of occupational hazards caused by dust in Sanxin Gold and Copper Mine 三鑫金铜矿粉尘职业病危害定量评价

IF 3.6 3区工程技术

Journal of Loss Prevention in The Process Industries Pub Date : 2025-06-09 DOI: 10.1016/j.jlp.2025.105705

Xiaohong Gui, Zhenrong Li, Mengzhen Xu, Jingya Zheng, Shiqing Xing

{"title":"Quantitative evaluation of occupational hazards caused by dust in Sanxin Gold and Copper Mine","authors":"Xiaohong Gui, Zhenrong Li, Mengzhen Xu, Jingya Zheng, Shiqing Xing","doi":"10.1016/j.jlp.2025.105705","DOIUrl":"10.1016/j.jlp.2025.105705","url":null,"abstract":"<div><div>The occupational pneumoconiosis is a serious threat to the health of mine workers. In order to quantitatively evaluate the degree of dust hazards in the production chain, the dust health hazard evaluation model was established based on the USEPA (US Environmental Protection Agency) health risk evaluation method. The DALY (Disability Adjusted Life Year) value was introduced to quantitatively express the damage of dust to workers. By calculating the health risks and DALY values of different work types in different working faces, the key control points of dust hazards are identified as wind drilling workers, transportation workers, forklift drivers, and crushing positions. A probabilistic hazard quantification model was constructed by combining the health hazard evaluation model with Monte Carlo method to simulate the distribution of dust hazards at different working surfaces and analyze the sensitivity of exposure parameters. The results show that the mining workshop of this mine is exposed to the greatest dust hazard, with a worker DALY value of 1.15 × 10<sup>−1</sup>a. In addition, the dust concentration (C), average exposure time (AT), exposure duration (ED) and exposure frequency (EF) have the most significant effects on dust health hazards.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"97 ","pages":"Article 105705"},"PeriodicalIF":3.6,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144271125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0