干旱区生态环境知识资源中心(Arid): Construction of flood loss function for cities lacking disaster data based on three-dimensional (object-function-array) data processing

Arid

DOI	10.1016/j.scitotenv.2021.145649
	Construction of flood loss function for cities lacking disaster data based on three-dimensional (object-function-array) data processing
	Lv, Hong; Meng, Yu; Wu, Zening; Guan, Xinjian; Liu, Yuan
通讯作者	Guan, XJ (corresponding author), Zhengzhou Univ, Sch Water Conservancy Engn, Zhengzhou 450001, Henan, Peoples R China.
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2021
卷号	773
英文摘要	Reliable loss estimation is crucial for flood risk management. As the current standard form of flood loss assessment, it is difficult to fit the Flood Inundated Depth-Loss Rate Function (FILF) due to the lack of historical data inmost inland arid and semi-arid plain cities. To address the current trend of increasing flood risk, it has become increasingly important to develop a scientific and reasonable loss assessment function or model for these cities. Therefore, the flood loss rate data of several cities were transferred through amplified characteristic indices to form a loss rate transfer vector of cities lacking disaster data based on the analogy principle. Three-dimensional data processing rules were then set, including the priority sequence of object dimensional variance and the greatest correlation coefficient (CC) of the joint dimension of function and array. Finally, a FILF of cities lacking disaster data was constructed after three-level optimization. The FILF of eight property types was calculated taking Zhengzhou City, China, as the study area. The optimal function and array dimensions were F-6 (Biquadratic) and D-4-D-6, respectively. All CCs exceeded 0.9935, with an average of 0.9971. The joint fitting results also showed that the function dimension was more sensitive to the FILF than the array dimension. The simulated total flood loss of the Jinshui District in 20 years was 2.46 billion yuan, and there was clear spatial disparity in economic loss. This study is expected to resolve the problem of the absence of a loss function in cities or regions lacking data to support urban flood risk management. (C) 2021 Elsevier B.V. All rights reserved.
英文关键词	Space transfer Beta distribution Correlation coefficient Three-level optimization Data mining
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000635207100119
WOS关键词	RISK ; MODEL ; UNCERTAINTY ; RIVER
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368695
作者单位	[Lv, Hong; Meng, Yu; Wu, Zening; Guan, Xinjian; Liu, Yuan] Zhengzhou Univ, Sch Water Conservancy Engn, Zhengzhou 450001, Henan, Peoples R China
推荐引用方式 GB/T 7714	Lv, Hong,Meng, Yu,Wu, Zening,et al. Construction of flood loss function for cities lacking disaster data based on three-dimensional (object-function-array) data processing[J],2021,773.
APA	Lv, Hong,Meng, Yu,Wu, Zening,Guan, Xinjian,&Liu, Yuan.(2021).Construction of flood loss function for cities lacking disaster data based on three-dimensional (object-function-array) data processing.SCIENCE OF THE TOTAL ENVIRONMENT,773.
MLA	Lv, Hong,et al."Construction of flood loss function for cities lacking disaster data based on three-dimensional (object-function-array) data processing".SCIENCE OF THE TOTAL ENVIRONMENT 773(2021).