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 3). 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 3
RESEARCH ARTICLES
1. Intelligent Management Method for Gas Pipeline Network Based on Topological Logic
- Authors: Mingzuo Zhang
- DOI: https://doi.org/10.26599/SES.2025.9590014
This research focuses on the intelligent management of gas pipeline networks. By integrating topological logic with systems such as SCADA and GIS, it realizes partitioned automatic operation, real-time monitoring and control, and business management, constructing a digital production management system for gas pipeline networks.
2. Multicomponent Electromagnetic Response Analysis of Seepage Channels in Earth–Rock Dams via Coupled Current–Seepage Excitation
- Authors: Shenghang Zhang, Lei Tang, Po Li, Fuhai Guan
- DOI: https://doi.org/10.26599/SES.2025.9590015
This study innovatively incorporates seepage channels into the current loop. Through the reception of steady-state and transient signals, it analyzes the magnetic field diffusion process of seepage channels in earth-rock dams at different depths, completing forward modeling and response analysis to provide technical support for dam safety detection.
3. Study on the Characteristics of Fire Smoke Spreading in Contact Nodes of Urban Cable Tunnels
- Authors: Chang Liu, Junhui Li, Kunpeng Ji, Jingshan Han, Peng Li, Yi Wang
- DOI: https://doi.org/10.26599/SES.2025.9590016
Based on a 331-meter full-scale test and FDS modeling, this research analyzes the coupled effects of node types, cable layout, and other factors on smoke spread. It is found that 5-layer cable arrangement leads to higher CO peaks and shorter high-temperature duration, while horizontal cable arrangement improves oxygen permeability. Low-velocity ventilation (1.2 m/s) may intensify combustion, and medium-velocity ventilation faces trade-offs between stability and smoke spread risk. Finally, an optimized scheme combining flow-guiding optimization and adaptive real-time ventilation control is proposed.
4. Influence of the Particle Size Distribution on the Explosion Severity of Coal Dust
- Authors: Xiaofeng Ren, Xinwei Zhang, Wufan Xuan
- DOI: https://doi.org/10.26599/SES.2025.9590017
Experiments were conducted using a 20L spherical vessel to investigate the impact of particle size distribution on coal dust explosion severity. Through Pearson correlation and stepwise regression analysis, regression models for parameters such as maximum explosion pressure (Pmax), maximum rate of pressure rise ((dP/dt)max), and Kst value were established. The study reveals the inherent laws of how particle size distribution affects coal dust explosion severity, providing a theoretical basis for explosion prevention and control.
5. Hearing Unseen Risks: An Advanced Audio-Driven Approach for Detecting Potential Road Risk Events
- Authors: Jiming Xie, Yan Zhang, Bijun Wang, Han Han, Yaqin Qin, Yulan Xia
- DOI: https://doi.org/10.26599/SES.2025.9590018
This paper proposes an advanced audio-driven approach for detecting potential road risk events. Adopting the SMBO-RUSBoost algorithm, the method undergoes processes such as noise reduction and voice activity detection. Multi-index evaluation verifies that the approach achieves high accuracy in risk event classification, offering a novel solution for road safety early warning.
6. Research on the Construction of an Integrated Risk Index Model for Urban Communities
- Authors: Chenzi Teng, Bo Bai, Yanfang Wang, Jiwei Ding
- DOI: https://doi.org/10.26599/SES.2025.9590019
Considering factors such as the hazard of disaster-causing factors and the vulnerability of exposed bodies, this study constructs a comprehensive safety risk index formula for urban communities, which includes multiple underlying indicators and weight coefficients. The model provides a quantitative tool for community risk assessment, supporting scientific decision-making in urban safety management.
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!