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德勤:人工智能灭火(英文版)(9页).pdf

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1、Wildfiresa terrifying,but by no means a new phenomenonhave become more commonplace,escaping an environmental equilibrium and exacerbating the very conditions that give rise to their frequency and severity.The Californian wildfires of 2020 released 91 million metric tons of the greenhouse gas CO2 int

2、o the atmosphere,considerable against the global CO2 absorption capacity of forests estimated at 7.6 billion metric tons annually.1 The damage that ensues is substantial and enduringwhat is lost in days can take generations to recover.Besides their longer-term environmental consequences,wildfires la

3、y waste to natural resources,and can harm or tragically end the lives of residents and those who risk life and limb to bring the inferno under control.Forecasting wildfires has been a focus of research for decades,but their growth in number and size demands more attention and better tools to tackle

4、this environmental issue.The FireAId initiative,spearheaded by the World Economic Forum(WEF),aims to address one of the opportunities in fighting wildland fires through the use of artificial intelligence(AI)to help those fighting fires better predict where fire could start and how active fires may s

5、pread.Deloitte and Nvidia have collaborated on this initiative,studying global fire history and trends,speaking with numerous firefighters,analyzing data and selecting the appropriate technologies to build and pilot tools to help firefighters tackle the escalation in wildfires.IntroductionFighting F

6、ire with AIWildfires are a growing problem,their flames fanned by global warming2Fighting Fire with AI|A moving targetThis report provides a view on the challenges global warming presents to modeling of wildfires and how data,tools and technology can help in the fight against one of the most formida

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本文主要讨论了使用人工智能(AI)技术预测和应对野火的重要性。野火已成为全球气候变化的一个严峻问题,其发生频率和严重程度不断加剧。例如,2020年加州野火释放了9100万吨二氧化碳,这对全球森林每年吸收的76亿吨二氧化碳构成了巨大挑战。文章指出,预测野火的研究已有几十年历史,但野火数量的增加和规模的扩大需要更多的关注和更好的工具。 世界经济论坛(WEF)的FireAId计划旨在通过使用AI技术帮助消防员更好地预测火灾可能开始的地方以及活跃的火灾可能如何蔓延。文章详细介绍了Deloitte和Nvidia合作进行的FireAId项目,该项目研究了全球火灾历史和趋势,与众多消防员进行了交流,分析了数据,并选择了适当的技术来构建和试点工具,以帮助消防员应对野火加剧的情况。 文章还讨论了预测野火面临的挑战,包括数据获取、AI/ML技术障碍、随机性和非线性、以及气候变化导致的模型训练数据与实际数据分布的偏差。最后,文章强调了开发有效的野火风险管理解决方案的重要性,并指出需要消防员、政府、私营部门和国际合作来共同应对这一全球性问题。
气候变化如何影响野火的发生和严重程度? 人工智能如何帮助预测和控制野火? 野火对环境和人类社会有哪些长期影响?
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