A Component-Based Approach to Early Warning Systems: A Theoretical Model

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.

Keywords

• early warning systems
• sensors
• natural hazards
• crisis management
• risk assessment
• data collection