DOI: 10.5194/hess-23-4851-2019
论文题名: Spatially dependent flood probabilities to support the design of civil infrastructure systems
作者: Dong Le P. ; Leonard M. ; Westra S.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2019
卷: 23, 期: 11 起始页码: 4851
结束页码: 4867
语种: 英语
Scopus关键词: Catchments
; Crossings (pipe and cable)
; Railroad transportation
; Risk assessment
; Risk perception
; Rivers
; Roads and streets
; Civil infrastructure systems
; Conservative designs
; Evacuation routes
; Failure Probability
; Integrated approach
; Intensity duration frequencies
; Railway infrastructure
; Rainfall extremes
; Floods
; civil engineering
; design flood
; extreme event
; flood
; flood frequency
; infrastructure
; integrated approach
; probability
; risk assessment
; spatial analysis
英文摘要: Conventional flood risk methods typically focus on estimation at a single location, which can be inadequate for civil infrastructure systems such as road or railway infrastructure. This is because rainfall extremes are spatially dependent; to understand overall system risk, it is necessary to assess the interconnected elements of the system jointly. For example, when designing evacuation routes it is necessary to understand the risk of one part of the system failing given that another region is flooded or exceeds the level at which evacuation becomes necessary. Similarly, failure of any single part of a road section (e.g., a flooded river crossing) may lead to the wider system's failure (i.e., the entire road becomes inoperable). This study demonstrates a spatially dependent intensity-duration-frequency (IDF) framework that can be used to estimate flood risk across multiple catchments, accounting for dependence both in space and across different critical storm durations. The framework is demonstrated via a case study of a highway upgrade comprising five river crossings. The results show substantial differences in conditional and unconditional design flow estimates, highlighting the importance of taking an integrated approach. There is also a reduction in the estimated failure probability of the overall system compared with the case where each river crossing is treated independently. The results demonstrate the potential uses of spatially dependent intensity-duration-frequency methods and suggest the need for more conservative design estimates to take into account conditional risks. © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162846
Appears in Collections: 气候变化与战略
There are no files associated with this item.
作者单位: Dong Le, P., School of Civil Environmental and Mining Engineering, University of Adelaide, Adelaide, SA, Australia, Faculty of Water Resources Engineering, Thuyloi University, 175 Tay Son, Dong Da, Hanoi, Viet Nam; Leonard, M., School of Civil Environmental and Mining Engineering, University of Adelaide, Adelaide, SA, Australia; Westra, S., School of Civil Environmental and Mining Engineering, University of Adelaide, Adelaide, SA, Australia
Recommended Citation:
Dong Le P.,Leonard M.,Westra S.. Spatially dependent flood probabilities to support the design of civil infrastructure systems[J]. Hydrology and Earth System Sciences,2019-01-01,23(11)