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城市生态防减灾中人工智能技术应用的进展与逻辑框架

戴代新 薄茗洋 戴开宇

灾害学2024,Vol.39Issue(2):145-152,8.
灾害学2024,Vol.39Issue(2):145-152,8.DOI:10.3969/j.issn.1000-811X.2024.02.022

城市生态防减灾中人工智能技术应用的进展与逻辑框架

Progress and Logical Framework of Artificial Intelligence Technology Application in Urban Ecosystem-based Disaster Risk Prevention and Reduction

戴代新 1薄茗洋 1戴开宇2

作者信息

  • 1. 同济大学建筑与城市规划学院,上海 200092||同济大学土木工程防灾国家重点实验室,上海 200092
  • 2. 复旦大学计算机科学技术学院,上海 200433
  • 折叠

摘要

Abstract

Under the influence of global climate change,it is difficult to take traditional engineering imple-mentations to deal with the uncertainty of natural disaster risk.As an international frontier theory of resilient cities,ecosystem-based disaster risk reduction(Eco-DRR)can provide a reference for the development of resilient cit-ies in China.Artificial intelligence(AI)technology can deal with the uncertainty problem of urban Eco-DRR ef-fectively.However,there is a gap between the current theoretical research of Eco-DRR and the practical applica-tion of AI technology.By using the PRISMA2020 framework the practice cases of AI technology application in ur-ban Eco-DRR is investigated and summarizes the application scenarios of them through qualitative research.The typical cases of AI application in urban Eco-DRR are analyzed from four stages:ecosystem disaster regulation service assessment,natural disaster risk assessment,Eco-DRR plan decision-making,and Eco-DRR monito-ring and post-evaluation.Finally,the logical framework ia propose and the practical experience of tool selection and data preparation in the application of AI technology application in the urban Eco-DRR based on the case stud-y are summarized.The intelligent approaches of Eco-DRR in urban disaster prevention,which can provide a ref-erence for comprehensive disaster prevention and resilient city construction in China are discussed.

关键词

生态防减灾(Eco-DRR)/人工智能/基于自然的解决方案(Nbs)/城市防灾/案例研究

Key words

ecosystem-based disaster risk reduction(Eco-DRR)/artificial intelligence(AI)/nature-based solution(Nbs)/urban disaster prevention/case study

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资源环境

引用本文复制引用

戴代新,薄茗洋,戴开宇..城市生态防减灾中人工智能技术应用的进展与逻辑框架[J].灾害学,2024,39(2):145-152,8.

基金项目

上海市高峰学科建设项目(22-3-YB-13) (22-3-YB-13)

灾害学

OA北大核心CSTPCD

1000-811X

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