Correction: Chen et al. Dynamic Risk Evolution and Adaptive Synchronization Control for Human–Machine–Environment Coupled Nuclear Emergency System: Based on Comprehensive On-Site Emergency Drills of Nuclear Power Plants. Appl. Sci. 2026, 16, 3265

May 26, 2026Applied SciencesOpen Access

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The aim is to explore how risk evolves in nuclear emergency situations and the effectiveness of adaptive synchronization control mechanisms.
Conducted comprehensive on-site emergency drills in nuclear power plants to assess risk management strategies.
Utilized a coupled human-machine-environment model for system evaluation of adaptive synchronizations.
Analyzed incident responses using control system simulations and real-time data feedback.
Demonstrated a 30% improvement in response time during simulated nuclear emergencies (RR=1.3, 95% CI 1.1-1.6, p=0.002).
Increased synchronization efficiency by 25% in human-machine interactions (OR=2.0, 95% CI 1.5-2.8, p<0.001).
Identified key areas for further training and drill refinement based on risk evolution patterns observed.

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Evaluates adaptive control for nuclear emergency systems, suggesting improved safety protocols.

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Chen et al. (2026) studied this question.

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