ORIGINAL RESEARCH article
Front. Earth Sci.
Sec. Interdisciplinary Climate Studies
Volume 13 - 2025 | doi: 10.3389/feart.2025.1455528
This article is part of the Research TopicExtreme Hydro-Meteorological Events in a Changing Climate: Monitoring, Risk Assessment, and Early WarningView all 8 articles
Research on Prioritization Algorithm for Multi-Hazard Warning Dissemination
Provisionally accepted- 1Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province, Meteorological Disaster Prevention Technology Center of Hainan Province, Haikou, China
- 2China Meteorological Administration, Beijing, Beijing Municipality, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
The prompt, wide, and effective dissemination of warnings through early warning systems can allows more valuable time for disaster prevention and mitigation. However, due to the limited resources and channel bandwidth of early warning systems, the most urgent warnings may be delayed released when there are multiple pending warnings. To solve this problem, a prioritization algorithm for multi-hazard warning release is proposed. We identified several important attributes of warnings through the analysis of historical data and standardized them, resulting in six priority indicators for early warning issuance. By using entropy method to weight these indicators and combining them into a priority score, the priority of the warning is determined. We conducted retrospective tests on a list of pending warnings that occurred in Guangdong Province on December 15, 2023 and a list of pending warnings that occurred in Jiangxi Province on March 23, 2023. The results showed that this provides an effective method for managing queue systems. In the case of multiple warnings queued to be issued, it can provide an objective and quantitative queuing basis, avoiding biased conclusions drawn from artificial weighted calculation method or single attribute calculations. The algorithm is proved to be indicative when the abnormal warnings occur and improve the timeliness of emergency warning release.
Keywords: warning dissemination1, prioritization algorithm2, multi-hazard3, Early warning4, priority indicators 5
Received: 27 Jun 2024; Accepted: 03 Jun 2025.
Copyright: © 2025 YUNYIN, QIANG, Song, JINGFENG and JINGJING. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: HAN QIANG, China Meteorological Administration, Beijing, 100081, Beijing Municipality, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.