DOI: 10.1016/j.ecoleng.2020.105765
论文题名: Large-scale flood hazard assessment under climate change: A case study
作者: Shadmehri Toosi A. ; Doulabian S. ; Ghasemi Tousi E. ; Calbimonte G.H. ; Alaghmand S.
刊名: Ecological Engineering
ISSN: 9258574
出版年: 2020
卷: 147 语种: 英语
英文关键词: Climate change
; Flood hazard assessment
; GCMs
; River basin management
; SWAT
Scopus关键词: Climate models
; Developing countries
; Floods
; Hazards
; Land use
; Rain
; Runoff
; Water management
; Flood hazard assessment
; GCMs
; General circulation model
; High intensity rainfall
; River basin management
; Soil and water assessment tool
; Surface air temperatures
; SWAT
; Climate change
; basin management
; climate change
; climate effect
; flood
; flood forecasting
; general circulation model
; hazard assessment
; hazard management
; river basin
; soil and water assessment tool
; Iran
英文摘要: Climate change represents a set of mechanisms that result in significant impacts toward hydrologic processes both at global and regional scales and usually they are developing countries where face the most challenging consequences. For instance, arid and semi-arid environments experience a high level of uncertainty in rainfall, which results in unforeseen periods of droughts, or high-intensity rainfall, which generates severe floods, increasing the water insecurity and flood damage in these areas. Climate pattern variations are specifically critical to forecast conditions for flood hazard management. General Circulation Models (GCMs) are useful tools to forecast future climate change scenarios. However, the application of GCM in flood hazard management is particularly challenging, given that they operate under high uncertainty and coarse scale. In this context, a five-class Flood Hazard Index (FHI) map was generated by using a multi criteria index approach, based on defining the greater influence of seven factors related to flood generation: runoff coefficient, elevation, slope, distance from the drainage network, rainfall intensity, soil erosion and land use. In this paper, we utilized monthly data for the baseline period (1980–2004), and then the output of 8 GCMs for surface air temperature (SAT) and precipitation were downscaled using a statistical model and evaluated in the baseline period. Consequently, the most suitable models were selected according to their average monthly performance. The Soil and Water Assessment Tool (SWAT) was then used to develop a runoff coefficient map, using the downscaled outputs of the selected GCMs. Accordingly, a flood hazard model was developed at a large basin in the northeast of Iran for baseline and future periods (2040–2064) under RCP 8.5 emission scenarios. Having validated the generated flood map for the baseline period, the future maps were generated and compared. Results show the increase in temperature and decrease in precipitation; however, it was found that rainfall intensities are to be increased. This supports the final flood hazard map for the future climate conditions scenario with an increased relative hazard level. This was particularly observed in flat, and moderate sloped areas, compared to the model results with historic climate data. © 2020 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158685
Appears in Collections: 气候变化与战略
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作者单位: Department of Civil Engineering, Ferdowsi University of Mashhad, Mashhad, Khorasan Razavi, Iran; Department of Civil engineering, Shahrood University of Technology, Shahrood, Semnan, Iran; Department of Civil & Architectural Engineering and Mechanics, The University of Arizona, Tucson, AZ, United States; Department of Civil Engineering, Monash University, 23 College Walk, Clayton, VIC 3800, Australia
Recommended Citation:
Shadmehri Toosi A.,Doulabian S.,Ghasemi Tousi E.,et al. Large-scale flood hazard assessment under climate change: A case study[J]. Ecological Engineering,2020-01-01,147