DOI: 10.1007/s11069-021-04672-2
论文题名: A review of modelling methodologies for flood source area (FSA) identification
作者: Singh A. ; Dawson D. ; Trigg M. ; Wright N.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 107, 期: 2 起始页码: 1047
结束页码: 1068
语种: 英语
中文关键词: Adaptation
; Flood source areas
; Flood sources identification
; Flooding
; Hydrological modelling
; Unit flood response
; Variable source areas
英文关键词: disaster management
; flood control
; hydrological modeling
; risk assessment
; source identification
; United States
英文摘要: Flooding is an important global hazard that causes an average annual loss of over 40 billion USD and affects a population of over 250 million globally. The complex process of flooding depends on spatial and temporal factors such as weather patterns, topography, and geomorphology. In urban environments where the landscape is ever-changing, spatial factors such as ground cover, green spaces, and drainage systems have a significant impact. Understanding source areas that have a major impact on flooding is, therefore, crucial for strategic flood risk management (FRM). Although flood source area (FSA) identification is not a new concept, its application is only recently being applied in flood modelling research. Continuous improvements in the technology and methodology related to flood models have enabled this research to move beyond traditional methods, such that, in recent years, modelling projects have looked beyond affected areas and recognised the need to address flooding at its source, to study its influence on overall flood risk. These modelling approaches are emerging in the field of FRM and propose innovative methodologies for flood risk mitigation and design implementation; however, they are relatively under-examined. In this paper, we present a review of the modelling approaches currently used to identify FSAs, i.e. unit flood response (UFR) and adaptation-driven approaches (ADA). We highlight their potential for use in adaptive decision making and outline the key challenges for the adoption of such approaches in FRM practises. © 2021, Crown. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/169368
Appears in Collections: 气候变化与战略
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作者单位: School of Civil Engineering, University of Leeds, Leeds, L62 9JT, United Kingdom; School of Architecture, Design and Built Environment, Nottingham Trent University, Nottingham, NG1 4FQ, United Kingdom
Recommended Citation:
Singh A.,Dawson D.,Trigg M.,et al. A review of modelling methodologies for flood source area (FSA) identification[J]. Natural Hazards,2021-01-01,107(2)