Safety Emergency Science (SES) Releases Issue 2 (2025, Volume 1)

Safety Emergency Science (SES), China’s first international academic journal dedicated to safety and emergency science and technology, has officially launched its debut issue (Volume 1, Issue 2). Co-founded by the China Association of Work Safety (CAWS) and Tsinghua University, and published by Tsinghua University Press, the journal aims to build a global academic exchange platform for the safety and emergency field. The inaugural issue features an editorial, three review articles, and three research articles, covering frontier topics such as fire risk assessment, disaster emergency planning, and AI-enabled emergency technology upgrading, providing valuable insights for academia, industry, and policymakers.

Content Overview of Volume 1, Issue 2

RESEARCH ARTICLES

1. Experimental and numerical studies on fire suppression at underground substations: The impact of obstacles on water mist efficiency

• Authors: Weiguang Kong, Changyang Zhang, Xu Zhai, Zhenqi Hu, Jinlong Zhao
• DOI Link: https://doi.org/10.26599/SES.2025.9590008

This study focuses on fire suppression scenarios in underground substations, a critical infrastructure with unique safety risks. By integrating experimental tests and numerical simulations, the research investigates how obstacles affect the efficiency of water mist fire suppression systems. The findings offer actionable technical support for optimizing fire safety designs and emergency response strategies in underground substation environments.

2. Effect of H₂ in fuel-rich NH₃/H₂/air mixtures: Explosion venting experiments and molecular dynamics simulations

• Authors: Jialu Lv, Shaoqian Cheng, Suyue Li, Chuanbiao Zhang, Chunrong Shi, Xingliang Wu, Weiguo Cao, Liu Tan, Rongxia Huang, Yan Li, Sen Xu
• DOI Link: https://doi.org/10.26599/SES.2025.9590009

Targeting fuel-rich NH₃/H₂/air mixtures, a system with potential explosion hazards in industrial settings, this research combines explosion venting experiments with molecular dynamics simulations. It analyzes how hydrogen (H₂) content influences the mixture’s explosive properties, including maximum pressure (Pmax) and pressure rise rate ((dp/dt)max). The data provides crucial references for explosion prevention, control, and venting system design in related industrial processes.

3. An intelligent safety closed-loop control model for hydropower projects

• Authors: Yunfei Xiang, Rui Yang, Ruinan An, Jianqi Yin, Zichang Li, Peng Lin
• DOI Link: https://doi.org/10.26599/SES.2025.9590010

To address the complex safety management demands of hydropower projects, this study develops an intelligent safety closed-loop control model. Integrating real-time monitoring, risk assessment, and adaptive control algorithms, the model enables dynamic safety regulation throughout the project lifecycle. It provides an intelligent technical solution to enhance the safety, reliability, and operational efficiency of hydropower facilities.

4. Implicit causality extraction of risk factors for gas storage gathering stations with multiperspective learning and semantic fusion

• Authors: Jinqiu Hu, Cipan Xiao, Laibin Zhang, Yuntao Li, Xu Xin, Xueni Li
• DOI Link: https://doi.org/10.26599/SES.2025.9590011

Gas storage and gathering stations face multiple interconnected risk factors, making causal relationship identification challenging. This research proposes a method combining multiperspective learning and semantic fusion to extract implicit causal links between risk factors. The approach improves the accuracy of risk assessment and early warning, supporting targeted risk prevention and control in gas storage and transmission systems.

5. Probabilistic graph neural network-based real-time hydrogen gas explosion prediction from hydrogen production plants

• Authors: Junjie Li, Jiyuan Li, Zonghao Xie, Jihao Shi, Yuntao Li, Yuanjiang Chang, Guoming Chen, Laibin Zhang
• DOI Link: https://doi.org/10.26599/SES.2025.9590012

Hydrogen production plants are prone to hydrogen gas explosion risks, requiring real-time monitoring and early warning. This study develops a real-time explosion prediction model based on probabilistic graph neural networks (PGNN), which effectively captures the dynamic evolution of explosion-related factors. The model delivers timely and reliable explosion warnings, providing critical support for the safe operation of the hydrogen energy industry.

6. Exploring the application of AI chatbot tools in higher education: Evidence from the Duke University student survey

• Authors: Bihua Xu, Li Wu, Yue Yuan, Lunlun Xian, Wei Wang
• DOI Link: https://doi.org/10.26599/SES.2025.9590013

With the rapid development of educational digitalization, AI chatbot tools are increasingly applied in higher education. This research uses survey data from Duke University students (covering different degrees and majors) to explore the tools’ application effects.

Journal Introduction

Safety Emergency Science (SES) is the first international academic journal in China focusing exclusively on safety and emergency science and technology. With Tiechui Zhao as Editor-in-Chief and a distinguished editorial board consisting of experts from academia, industry, and international organizations (e.g., the International Labour Organization, European Institute for Risk and Resilience Management), the journal covers a wide range of topics:

Mine safety, chemical safety, fire safety, traffic safety, marine safety, power grid safety, underground space safety, occupational safety, production safety, clean energy safety, industrial chain safety, infrastructure safety, safety planning, accident emergency response, disaster emergency response, emergency evacuation, emergency disposal, international rescue for natural disasters, emergency policies and regulations, and AI applications in safety and emergency.

Key Features:

• Fully open access (OA) and published online via the SciOpen platform, ensuring global accessibility.
• Co-founded by CAWS and Tsinghua University, bridging academia, industry, and policy-making.
• International promotion through channels such as WeChat official account, email alerts, and EurekAlert!.

Contact Information:

• Journal Homepage: https://www.sciopen.com/journal/3079-501X
• Submission Portal: https://mc03.manuscriptcentral.com/safems
• Editorial Office Email: safetyemergsci@gmail.com

Call for Papers for Special Issues

SES is now calling for papers for two special issues, inviting global scholars to contribute cutting-edge research:

1. Special Issue: AI Application in Fire Safety

• Submission Deadline: June 31, 2026
• Topics Include (but not limited to):

(1) Fire prevention measures in industrial parks, renewable energy systems, and urban systems.

(2) Combustion dynamics of pool fires, leakage fires, renewable energy fires (battery fires, photovoltaic fires), new material fires, and building fires.

(3) Advanced fire-fighting technologies.

(4) Fire risk assessment and fire safety management systems.

2. Special Issue: Fire Safety in Urban Underground Space

• Submission Deadline: November 30, 2026
• Topics Include (but not limited to):

(1) Fire dynamics and combustion characteristics in confined underground environments.

(2) Design, evaluation, and optimization of fire protection engineering systems.

(3) Performance of fire detection and alarm systems in complex underground layouts.

(4) Intelligent fire-fighting equipment and real-time decision support systems.

(5) Smoke and toxicity control strategies for underground buildings.

(6) Evacuation route planning and crowd management in emergencies.

(7) Emergency response and public safety for underground fires.

Submission Guidelines:

• Manuscripts must comply with academic standards, including title, abstract, keywords, main text, and references.
• Detailed format requirements and the manuscript template (“SES_Manuscript Template_2025.docx”) are available in the “For Authors” section of the journal homepage.
• All submissions must be made through the official submission portal: https://mc03.manuscriptcentral.com/safems.

Safety Emergency Science (SES) is committed to fostering academic exchange and technological innovation in the global safety and emergency field. We welcome scholars, researchers, and practitioners worldwide to contribute high-quality research and join us in advancing the development of safety and emergency science and technology!