DOI: 10.1007/s11069-021-04630-y
论文题名: An ensemble risk assessment model for urban rainstorm disasters based on random forest and deep belief nets: a case study of Nanjing, China
作者: Chen J. ; Liu L. ; Pei J. ; Deng M.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 107, 期: 3 起始页码: 2671
结束页码: 2692
语种: 英语
中文关键词: 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]
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168947
Appears in Collections: 气候变化与战略
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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
Recommended Citation:
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]. Natural Hazards,2021-01-01,107(3)