Evaluating the effectiveness of different media for wildfire information dissemination under multiple scenarios in eight provinces of China

Evaluating the effectiveness of different media for wildfire information dissemination under multiple scenarios in eight provinces of China | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Evaluating the effectiveness of different media for wildfire information dissemination under multiple scenarios in eight provinces of China Meng Duo, Jun Hu, Xiaoyong Ni, Yongsheng Yang, Anying Chen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4891012/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 17 May, 2025 Read the published version in Natural Hazards → Version 1 posted 5 You are reading this latest preprint version Abstract During a wildfire, timely dissemination of disaster information is crucial in reducing the public's exposure to hazards and allowing for early adoption of necessary precautions and safe evacuation. However, ensuring the timely dissemination of information presents a great challenge in the event of a great wildfire. This study aims to assess the effectiveness of several information dissemination channels, including Short Messaging Service (SMS), Television (TV), online social networks, and offline disaster information officers under multiple wildfire scenarios comprehensively, focusing on eight provinces with high wildfire risk in China. By using statistical data, the study dynamically fits the usage of different information media to analyze the information coverage over time under multiple wildfire scenarios, including daytime information release, nighttime information release and signal interruption. The results of the study show that the SMS channel has the fastest dissemination speed and the largest number of recipients, and disaster information officers will play an important role in the case of paralyzed communication facilities. While TV is less effective than online social media in disseminating information, it remains a key channel for some areas. These findings can assist relevant authorities to choose the appropriate information dissemination channels under different scenarios to ensure that pre-warning information can be delivered to the public in a timely and efficient manner, thus reducing the losses and risks associated with wildfires. Wildfire Pre-warning information dissemination Information media Multiple scenarios Signal interruption Full Text Cite Share Download PDF Status: Published Journal Publication published 17 May, 2025 Read the published version in Natural Hazards → Version 1 posted Editorial decision: Minor revisions 01 Apr, 2025 Reviewers agreed at journal 02 Sep, 2024 Reviewers invited by journal 26 Aug, 2024 Editor assigned by journal 10 Aug, 2024 First submitted to journal 10 Aug, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4891012","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":345183659,"identity":"f4613e85-1ee5-4bb3-8432-96f07b5e6dff","order_by":0,"name":"Meng Duo","email":"","orcid":"","institution":"Joint International Research Laboratory of Catastrophe Simulation and Systemic Risk Governance,Beijing Normal University;School of National Safety and Emergency Management,Beijing Normal 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