气候变化领域集成服务门户(CCPortal): Application of graph neural networks to forecast urban flood events: the case study of the 2013 flood of the Bow River, Calgary, Canada

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DOI	10.1080/15715124.2024.2329243
	Application of graph neural networks to forecast urban flood events: the case study of the 2013 flood of the Bow River, Calgary, Canada
	Rocha, Paulo Alexandre Costa; Santos, Victor Oliveira; Scott, John; The, Jesse Van Griensven; Gharabaghi, Bahram
发表日期	2024
ISSN	1571-5124
EISSN	1814-2060
英文摘要	Mitigating the harmful effects of flooding is essential in the current climate change and urban growth scenario, where these natural phenomena are expected to occur more often. Addressing this problem, we present a novel graph-based forecasting model for predicting urban flooding and showcase its application in the Bow River in the City of Calgary, Alberta, Canada. The proposed model is based on graph theory and deep learning paradigms and was used to forecast flooding occurrences up to 24 h ahead. Our new approach developed the SAGE algorithm, a hybrid learning and planning approach that accurately predicted floodings for various analyzed forecasting horizons, increasing the forecasting performance by up to 44% compared to the persistence model. The SAGE model also returned superior or competitive results compared to other models in the literature. The superiority of the SAGE model was highlighted for longer forecast horizons of 24 h ahead, where it reached a maximum improvement of 79%, suggesting its superiority in capturing spatiotemporal information in the dataset. These results indicate that the SAGE approach is a cutting-edge tool for flooding forecasting, and it could be used to develop early flood warning systems to reduce potential flooding impacts.
英文关键词	Flooding; Bow River; forecasting; machine learning; graph neural networks; deep learning
语种	英语
WOS研究方向	Water Resources
WOS类目	Water Resources
WOS记录号	WOS:001190599600001
来源期刊	INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/295400
作者单位	University of Guelph; Universidade Federal do Ceara; University of Guelph
推荐引用方式 GB/T 7714	Rocha, Paulo Alexandre Costa,Santos, Victor Oliveira,Scott, John,et al. Application of graph neural networks to forecast urban flood events: the case study of the 2013 flood of the Bow River, Calgary, Canada[J],2024.
APA	Rocha, Paulo Alexandre Costa,Santos, Victor Oliveira,Scott, John,The, Jesse Van Griensven,&Gharabaghi, Bahram.(2024).Application of graph neural networks to forecast urban flood events: the case study of the 2013 flood of the Bow River, Calgary, Canada.INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT.
MLA	Rocha, Paulo Alexandre Costa,et al."Application of graph neural networks to forecast urban flood events: the case study of the 2013 flood of the Bow River, Calgary, Canada".INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT (2024).