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ORIGINAL RESEARCH article

Front. Earth Sci.
Sec. Interdisciplinary Climate Studies
Volume 12 - 2024 | doi: 10.3389/feart.2024.1362906
This article is part of the Research Topic Extreme Hydro-Meteorological Events in a Changing Climate: Monitoring, Risk Assessment, and Early Warning View all 6 articles

Multidimensional evaluation and service strategy analysis of hazard warning and risk reduction

Provisionally accepted
zhiyu CAO zhiyu CAO 1jiahe WANG jiahe WANG 1Yingjie LIU Yingjie LIU 1*jingjing ZHAO jingjing ZHAO 1Ying Ying Song Ying Ying Song 1boting ZHAO boting ZHAO 2
  • 1 China Meteorological Administration, Beijing, Beijing Municipality, China
  • 2 Fujian Early Warning Release Center, Fuzhou, Fujian Province, China

The final, formatted version of the article will be published soon.

    To refine the meteorological warning service for decision makers and enhance their role in disaster risk reduction, this paper puts forward the efficiency index for warning on disaster risk reduction by analyzing meteorological warnings. The influence factors of the index are investigated, and an index calculation model is established by using Grey relation analysis. The weights of the evaluation factors are determined by entropy weight method to quantify the efficiency of warning. Additionally, the reminder strength of different warning delivery methods to decision makers is studied, and a refined delivery strategy tree for warnings to decision makers is established based on the efficiency index and reminder strength of delivery means. The proposed strategy has been applied to the warning service system in Fujian Province. Results show that its implementation has improved the efficiency of warning dissemination and reduced delivery warning costs.

    Keywords: Warning issuance, efficiency index for warning, Entropy weight method, Warning delivery strategy, reminder strength of delivery means

    Received: 29 Dec 2023; Accepted: 28 Jun 2024.

    Copyright: © 2024 CAO, WANG, LIU, ZHAO, Song and ZHAO. 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: Yingjie LIU, China Meteorological Administration, Beijing, 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.