Research on prioritization algorithm for multi-hazard warning dissemination
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 th...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2025.1455528/full |
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| author | Yunyin Mo Qiang Han Yingying Song Jingfeng Li Jingjing Zhao |
| author_facet | Yunyin Mo Qiang Han Yingying Song Jingfeng Li Jingjing Zhao |
| author_sort | Yunyin Mo |
| collection | DOAJ |
| description | 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 15 December 2023 and a list of pending warnings that occurred in Jiangxi Province on 23 March 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. In a specific instance, there may be identical values for a certain attribute, resulting in the same score for the indicator determined based on that attribute, and consequently, that indicator does not play a role in the algorithm.we can omit that indicator from the formula to reduce computational load. |
| format | Article |
| id | doaj-art-b01b4e54e1c6406cb21afbba1494adf3 |
| institution | OA Journals |
| issn | 2296-6463 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj-art-b01b4e54e1c6406cb21afbba1494adf32025-08-20T02:38:19ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632025-06-011310.3389/feart.2025.14555281455528Research on prioritization algorithm for multi-hazard warning disseminationYunyin Mo0Qiang Han1Yingying Song2Jingfeng Li3Jingjing Zhao4Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province, Meteorological Disaster Prevention Technology Center of Hainan Province, Haikou, ChinaPublic Meteorological Service Center of CMA, National Early Warning Center, Beijing, ChinaPublic Meteorological Service Center of CMA, National Early Warning Center, Beijing, ChinaKey Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province, Meteorological Disaster Prevention Technology Center of Hainan Province, Haikou, ChinaPublic Meteorological Service Center of CMA, National Early Warning Center, Beijing, ChinaThe 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 15 December 2023 and a list of pending warnings that occurred in Jiangxi Province on 23 March 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. In a specific instance, there may be identical values for a certain attribute, resulting in the same score for the indicator determined based on that attribute, and consequently, that indicator does not play a role in the algorithm.we can omit that indicator from the formula to reduce computational load.https://www.frontiersin.org/articles/10.3389/feart.2025.1455528/fullwarning disseminationprioritization algorithmmulti-hazardearly warningpriority indicators |
| spellingShingle | Yunyin Mo Qiang Han Yingying Song Jingfeng Li Jingjing Zhao Research on prioritization algorithm for multi-hazard warning dissemination Frontiers in Earth Science warning dissemination prioritization algorithm multi-hazard early warning priority indicators |
| title | Research on prioritization algorithm for multi-hazard warning dissemination |
| title_full | Research on prioritization algorithm for multi-hazard warning dissemination |
| title_fullStr | Research on prioritization algorithm for multi-hazard warning dissemination |
| title_full_unstemmed | Research on prioritization algorithm for multi-hazard warning dissemination |
| title_short | Research on prioritization algorithm for multi-hazard warning dissemination |
| title_sort | research on prioritization algorithm for multi hazard warning dissemination |
| topic | warning dissemination prioritization algorithm multi-hazard early warning priority indicators |
| url | https://www.frontiersin.org/articles/10.3389/feart.2025.1455528/full |
| work_keys_str_mv | AT yunyinmo researchonprioritizationalgorithmformultihazardwarningdissemination AT qianghan researchonprioritizationalgorithmformultihazardwarningdissemination AT yingyingsong researchonprioritizationalgorithmformultihazardwarningdissemination AT jingfengli researchonprioritizationalgorithmformultihazardwarningdissemination AT jingjingzhao researchonprioritizationalgorithmformultihazardwarningdissemination |