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Early Warning Systems

EasyChair Preprint no. 13723

10 pagesDate: July 1, 2024

Abstract

Early Warning Systems (EWS) are critical components of disaster risk reduction and management strategies worldwide. These systems are designed to monitor and detect potential hazards, analyze and forecast their development, and communicate timely and actionable warnings to vulnerable populations and emergency response authorities. EWS cover a wide range of natural and human-caused disasters, including meteorological events, geophysical phenomena, technological accidents, and even political conflicts.

Effective EWS are characterized by several key elements: robust monitoring and detection capabilities, advanced data analysis and forecasting models, reliable communication channels, and coordinated preparedness and response plans. However, the development and implementation of EWS face a variety of challenges, including technical limitations, socioeconomic and cultural factors, and governance challenges that require multilateral cooperation and coordination.

Keyphrases: Emerging Risks and Evolving Threats, Governance and Institutional Challenges, Human Factors and Behavioral Considerations, Socio-economic barriers, technical limitations

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:13723,
  author = {Edwin Frank},
  title = {Early Warning Systems},
  howpublished = {EasyChair Preprint no. 13723},

  year = {EasyChair, 2024}}
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