Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

[HTML][HTML] Safety and security of oil and gas pipeline transportation: A systematic analysis of research trends and future needs using WoS

C Chen, C Li, G Reniers, F Yang - Journal of Cleaner Production, 2021 - Elsevier
The terrorist attack on the Abqaiq oil plant in Saudi Arabia on September 14, 2019 attracted
global attention to the significant role of safety and security in the sustainable oil and gas …

[HTML][HTML] Chemical industry in China: The current status, safety problems, and pathways for future sustainable development

C Chen, G Reniers - Safety science, 2020 - Elsevier
Safety risks have become an obstacle to the sustainability of the chemical industry in China
since many chemical companies were forced to close down by China's government in the …

[HTML][HTML] A thorough classification and discussion of approaches for modeling and managing domino effects in the process industries

C Chen, G Reniers, N Khakzad - Safety science, 2020 - Elsevier
Recent catastrophic accidents in China and the USA urge and justify a thorough study on
current & future research trends in the development of modeling methods and protection …

Urban flood vulnerability assessment in a densely urbanized city using multi-factor analysis and machine learning algorithms

F Parvin, SA Ali, B Calka, E Bielecka, NTT Linh… - Theoretical and Applied …, 2022 - Springer
Flood is considered as the most devastating natural hazards that cause the death of many
lives worldwide. The present study aimed to predict flood vulnerability for Warsaw, Poland …

Performance analysis of machine learning algorithms for thyroid disease

H Abbad Ur Rehman, CY Lin, Z Mushtaq… - Arabian Journal for …, 2021 - Springer
Thyroid disease arises from an anomalous growth of thyroid tissue at the verge of the thyroid
gland. Thyroid disorderliness normally ensues when this gland releases abnormal amounts …

Developing an advanced dynamic risk analysis method for fire-related domino effects

T Zeng, G Chen, Y Yang, P Chen, G Reniers - Process Safety and …, 2020 - Elsevier
Domino effects are typically high impact low probability (HILP) accidents, whereby
escalation effects triggered by fires are most frequent. The evolution of fire-related domino …

An event-driven probabilistic methodology for modeling the spatial-temporal evolution of natural hazard-induced domino chain in chemical industrial parks

J Men, G Chen, Y Yang, G Reniers - Reliability Engineering & System …, 2022 - Elsevier
Natural hazards may rapidly lead to a massive domino chain in chemical industrial parks
(CIPs). This work develops a high-efficiency and systematic analytical framework that is …

Assessing the vulnerability and risk of maize to drought in China based on the AquaCrop model

X Zhu, K Xu, Y Liu, R Guo, L Chen - Agricultural Systems, 2021 - Elsevier
In the context of global climate change, droughts pose a serious threat to agricultural
development and food security. Assessing the vulnerability and risk of regions to drought is …

A paradigm shift in the assessment of Natech scenarios in chemical and process facilities

A Misuri, V Cozzani - Process Safety and Environmental Protection, 2021 - Elsevier
Complex cascading events might arise from the interaction between natural hazards and
technological installations handling hazardous substances, leading to the so called Natech …