A Component-Based Approach to Early Warning Systems: A Theoretical Model
Source abstract
Abstract
Natural hazards pose an increasing threat to society, necessitating the development of effective early warning systems (EWSs). This paper explores their critical role in mitigating the impacts of natural hazards. Its primary objective is to define and categorise the components of EWSs, summarise the components of existing systems, and propose a framework for a comprehensive early warning system. This paper includes a thorough review of the available scientific literature on early warning systems, natural hazards, and their underlying causes. It identifies both primary and secondary causes of selected natural hazards, along with their manifestations. Particular emphasis is placed on the significance of sensors and modern technologies for real-time data collection and processing. Based on this analysis, a framework is proposed that integrates various data sources, technologies, and components to enhance preparedness. The findings highlight the necessity of a holistic approach to early warning systems, one that accounts for different types of disasters and the specific needs of at-risk populations. The proposed framework may serve as a foundation for further development and the implementation of more effective early warning systems.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Anomaly Detection Techniques and Applications · Seismology and Earthquake Studies · Data Visualization and Analytics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Crisis Management, Faculty of Security Engineering, University of Žilina, Univerzitná 1, 010 26 Žilina, Slovakia
International University of Logistics and Transport in Wroclaw, Sołtysowicka 19B, 51-168 Wrocław, Poland
Funding
Recovery and Resilience Plan for Slovakia
References (100+)
Show source-provided references
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