globalchange  > 气候变化与战略
DOI: 10.1007/s11069-020-04429-3
论文题名:
Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices
作者: Tan L.; Guo J.; Mohanarajah S.; Zhou K.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 107, 期:3
起始页码: 2389
结束页码: 2417
语种: 英语
中文关键词: 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
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.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/169396
Appears in Collections:气候变化与战略

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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

Recommended Citation:
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]. Natural Hazards,2021-01-01,107(3)
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