气候变化领域集成服务门户(CCPortal): Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices

CCPortal

DOI	10.1007/s11069-020-04429-3
	Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices
	Tan L.; Guo J.; Mohanarajah S.; Zhou K.
发表日期	2021
ISSN	0921030X
起始页码	2389
结束页码	2417
卷号	107 期号:3
英文摘要	There has been an unsettling rise in the intensity and frequency of natural disasters due to climate change and anthropogenic activities. Artificial intelligence (AI) models have shown remarkable success and superiority to handle huge and nonlinear data owing to their higher accuracy and efficiency, making them perfect tools for disaster monitoring and management. Accordingly, natural disaster management (NDM) with the usage of AI models has received increasing attention in recent years, but there has been no systematic review so far. This paper presents a systematic review on how AI models are applied in different NDM stages based on 278 studies retrieved from Elsevier Science, Springer LINK and Web of Science. The review: (1) enables increased visibility into various disaster types in different NDM stages from the methodological and content perspective, (2) obtains many general results including the practicality and gaps of extant studies and (3) provides several recommendations to develop innovative AI models and improve the quality of modeling. Overall, a comprehensive assessment and evaluation for the reviewed studies are performed, which tracked all stages of NDM research with the applications of AI models. © 2020, Springer Nature B.V.
关键词	Artificial intelligence Natural disaster management Stage analysis
英文关键词	artificial intelligence; detection method; disaster management; literature review; modeling; natural disaster; trend analysis
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206597
作者单位	School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China; School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China; Collaborative Innovation Center On Climate and Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China; School of Computer Science, Mathematics and Computer Science, University of North Carolina At Pembroke, Pembroke, NC 28372, United States; School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China
推荐引用方式 GB/T 7714	Tan L.,Guo J.,Mohanarajah S.,et al. Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices[J],2021,107(3).
APA	Tan L.,Guo J.,Mohanarajah S.,&Zhou K..(2021).Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices.Natural Hazards,107(3).
MLA	Tan L.,et al."Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices".Natural Hazards 107.3(2021).