气候变化领域集成服务门户(CCPortal): An ensemble risk assessment model for urban rainstorm disasters based on random forest and deep belief nets: a case study of Nanjing, China

CCPortal

DOI	10.1007/s11069-021-04630-y
	An ensemble risk assessment model for urban rainstorm disasters based on random forest and deep belief nets: a case study of Nanjing, China
	Chen J.; Liu L.; Pei J.; Deng M.
发表日期	2021
ISSN	0921030X
起始页码	2671
结束页码	2692
卷号	107 期号:3
英文摘要	Effective management of rainstorm risk is essential for reducing regional rainstorm disaster risks and losses. In this paper, we discussed the influencing factors of urban rainstorm disaster (URSD) risk from four aspects and then constructed the index system of URSD risk assessment which includes 16 influencing factors. Furtherly, important indexes were extracted as the input of deep belief nets (DBN) model after analyzing the types and risk characteristics of URSD. As well as a coupling risk assessment model of URSD based on random forest and deep belief nets (RF–DBN) was established due to the capacity of high-dimensional data processing of RF and robustness of DBN. To test the validity of this risk assessment model, it was applied to evaluate the rainstorm disaster risk in 11 districts of Nanjing, China, from May to September during 2009 and 2017. Finally, the risk grade map of rainstorm disaster in Nanjing was drawn and the corresponding countermeasures for the regulation and control of URSD were put forward. The results show that the rainstorm risk in Nanjing is generally high during the period of rainy season and the risk of rainstorm disaster has egional features during the flood season. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature.
关键词	Deep belief nets (DBN)Rainstorm hazard Random forest (RF)Regional rainstorm Regulation countermeasure
英文关键词	disaster management; flood; natural disaster; rainstorm; risk assessment; urban area; urban climate; wet season; China; Jiangsu; Nanjing [Jiangsu]
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206148
作者单位	Business School, Hohai University, Nanjing, 210098, China; Yangtze Institute for Conservation and Development, Hohai University, Nanjing, 210098, China; Jiangsu Research Base of Yangtze Institute for Conservation and High-Quality Development, Nanjing, 210098, China
推荐引用方式 GB/T 7714	Chen J.,Liu L.,Pei J.,et al. An ensemble risk assessment model for urban rainstorm disasters based on random forest and deep belief nets: a case study of Nanjing, China[J],2021,107(3).
APA	Chen J.,Liu L.,Pei J.,&Deng M..(2021).An ensemble risk assessment model for urban rainstorm disasters based on random forest and deep belief nets: a case study of Nanjing, China.Natural Hazards,107(3).
MLA	Chen J.,et al."An ensemble risk assessment model for urban rainstorm disasters based on random forest and deep belief nets: a case study of Nanjing, China".Natural Hazards 107.3(2021).