中文版 | English
题名

Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities

作者
通讯作者Chan,Faith Ka Shun; Li,Nan
发表日期
2022-12-01
DOI
发表期刊
ISSN
2045-2322
EISSN
2045-2322
卷号12期号:1
摘要
Urban floods are the most severe disaster in most Chinese cities due to rapid urbanisation and climate challenges. Recently, media data analytics has become prominent in enhancing urban flood resilience. In this study, news media data from the GKG of the GDELT project was innovatively used to examine the pattern of news media responses towards urban flooding in China's Sponge City Programme (SCP) pilot cities. We find that public sentiments toward urban flood events have been more positive in SCP pilot cities from 2015 to 2021. News media responses towards urban floods exhibit strong seasonality, which is significantly connected with rainfall patterns. Most of the media articles were posted during the urban flood event. Finally, we suggest the opportunities and challenges in applying GKG data analytics and new technologies for urban flood resilience. The results can provide beneficial references to urban flood management strategies in China's Sponge Cities for associated policymakers and stakeholders.
相关链接[Scopus记录]
收录类别
语种
英语
学校署名
通讯
资助项目
National Natural Science Foundation of China[52170184] ; National Key R&D Program of China[2019YFC1510400] ; Hong Kong Environmental Council Fund[ECF: 44/2020]
WOS研究方向
Science & Technology - Other Topics
WOS类目
Multidisciplinary Sciences
WOS记录号
WOS:000972403100017
出版者
Scopus记录号
2-s2.0-85142522503
来源库
Scopus
引用统计
被引频次[WOS]:10
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/416481
专题南方科技大学
作者单位
1.Key Laboratory of Urban Environment and Health,Institute of Urban Environment,Chinese Academy of Sciences,Xiamen,361021,China
2.Nottingham University Business School,University of Nottingham Ningbo China,Ningbo,315100,China
3.Xiamen Key Lab of Urban Metabolism,Xiamen,361021,China
4.School of Geographical Sciences,University of Nottingham Ningbo China,Ningbo,315100,China
5.Water@Leeds,School of Geography,University of Leeds,Leeds,LS2 9JT,United Kingdom
6.Research Base for Shenzhen Municipal Policy & Development,Southern University of Science and Technology,Shenzhen,518000,China
7.University of Chinese Academy of Sciences,Beijing,100049,China
8.Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute,Ningbo,315100,China
通讯作者单位南方科技大学
推荐引用方式
GB/T 7714
Lu,Xiaohui,Chan,Faith Ka Shun,Li,Nan,et al. Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities[J]. Scientific Reports,2022,12(1).
APA
Lu,Xiaohui,Chan,Faith Ka Shun,Li,Nan,Chen,Chuke,Chen,Wei Qiang,&Chan,Hing Kai.(2022).Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities.Scientific Reports,12(1).
MLA
Lu,Xiaohui,et al."Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities".Scientific Reports 12.1(2022).
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