Assessment on the Use of Meteorological and Social Media Information for Forest Fire Detection and Prediction in Riau, Indonesia
Assessment on the Use of Meteorological and Social Media Information for Forest Fire Detection and Prediction in Riau, Indonesia
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DOI：
10.3390/su132011188
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发表时间：
2021-10-01
期刊：
影响因子：
3.9
通讯作者：
Riama, Nelly Florida
中科院分区：
文献类型：
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作者：
Fitriany, Anni Arumsari;Flatau, Piotr J.;Riama, Nelly Florida
在这项研究中，使用 2014-2019 年时间范围内精心挑选的关键词来识别与苏门答腊廖内省火灾相关的推文。应用了 TAGGS 算法，该算法允许根据用户的国籍和家乡以及直接引用特定位置（例如消息本身中的省名或城市名）进行地理解析。对 2019 年报道廖内省的在线报纸进行了分析，以提供有关火灾发生原因和其他因素的更多信息，例如对人类健康的影响、与生态系统破坏相关的动物死亡率、能见度、空气质量下降以及政府消防响应的局限性。对气象信息、Twitter 活动和卫星热点之间的相关性进行了分析。回顾了 BMKG 和其他印度尼西亚机构用于检测火灾活动的现有方法，并提出了一种基于推文众包的早期火灾检测新方法。这些结果的政策影响表明，众包数据可以纳入印度尼西亚的火灾管理系统中，以支持早期火灾探测和火灾减灾工作。
In this study, tweets related to fires in Riau, Sumatra, were identified using carefully selected keywords for the 2014-2019 timeframe. The TAGGS algorithm was applied, which allows for geoparsing based on the user's nationality and hometown and on direct referrals to specific locations such as name of province or name of city in the message itself. Online newspapers covering Riau were analyzed for the year 2019 to provide additional information about the reasons why fires occurred and other factors, such as impact on people's health, animal mortality related to ecosystem disruption, visibility, decrease in air quality and limitations in the government firefighting response. Correlation analysis between meteorological information, Twitter activity and satellite-derived hotspots was conducted. The existing approaches that BMKG and other Indonesian agencies use to detect fire activity are reviewed and a novel approach for early fire detection is proposed based on the crowdsourcing of tweets. The policy implications of these results suggest that crowdsourced data can be included in the fire management system in Indonesia to support early fire detection and fire disaster mitigation efforts.