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

Bibliographic Details
Title:	Improving urban flood resilience via GDELT GKG analyses in China's Sponge Cities
Authors:	Xiaohui Lu, Faith Ka Shun Chan, Nan Li, Chuke Chen, Wei-Qiang Chen, Hing Kai Chan
Source:	Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Publisher Information:	Nature Portfolio, 2022.
Publication Year:	2022
Collection:	LCC:Medicine LCC:Science
Subject Terms:	Medicine, Science
More Details:	Abstract 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.
Document Type:	article
File Description:	electronic resource
Language:	English
ISSN:	2045-2322
Relation:	https://doaj.org/toc/2045-2322
DOI:	10.1038/s41598-022-24370-8
Access URL:	https://doaj.org/article/58ced2aebfae4c5a87cd63d484bcda77
Accession Number:	edsdoj.58ced2aebfae4c5a87cd63d484bcda77
Database:	Directory of Open Access Journals
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More Details
ISSN:	20452322
DOI:	10.1038/s41598-022-24370-8
Published in:	Scientific Reports
Language:	English