DOI: 10.5194/hess-21-5143-2017
Scopus记录号: 2-s2.0-85029354100
论文题名: Impacts of spatial resolution and representation of flow connectivity on large-scale simulation of floods
作者: May Mateo R ; C ; , Yamazaki D ; , Kim H ; , Champathong A ; , Vaze J ; , Oki T
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 10 起始页码: 5143
结束页码: 5163
语种: 英语
Scopus关键词: Flood control
; Floods
; Image resolution
; Rivers
; Computational power
; Efficiency coefficient
; Flow connectivity
; Higher resolution
; Large scale simulations
; Predictive capabilities
; Regional scale
; Spatial resolution
; Flow visualization
; data set
; flood
; floodplain
; hydrological modeling
; river basin
; simulation
; spatial resolution
; Thailand
英文摘要: Global-scale river models (GRMs) are core tools for providing consistent estimates of global flood hazard, especially in data-scarce regions. Due to former limitations in computational power and input datasets, most GRMs have been developed to use simplified representations of flow physics and run at coarse spatial resolutions. With increasing computational power and improved datasets, the application of GRMs to finer resolutions is becoming a reality. To support development in this direction, the suitability of GRMs for application to finer resolutions needs to be assessed. This study investigates the impacts of spatial resolution and flow connectivity representation on the predictive capability of a GRM, CaMa-Flood, in simulating the 2011 extreme flood in Thailand. Analyses show that when single downstream connectivity (SDC) is assumed, simulation results deteriorate with finer spatial resolution; Nash-Sutcliffe efficiency coefficients decreased by more than 50ĝ% between simulation results at 10ĝkm resolution and 1ĝkm resolution. When multiple downstream connectivity (MDC) is represented, simulation results slightly improve with finer spatial resolution. The SDC simulations result in excessive backflows on very flat floodplains due to the restrictive flow directions at finer resolutions. MDC channels attenuated these effects by maintaining flow connectivity and flow capacity between floodplains in varying spatial resolutions. While a regional-scale flood was chosen as a test case, these findings should be universal and may have significant impacts on large-to global-scale simulations, especially in regions where mega deltas exist.These results demonstrate that a GRM can be used for higher resolution simulations of large-scale floods, provided that MDC in rivers and floodplains is adequately represented in the model structure. © 2017 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79028
Appears in Collections: 气候变化事实与影响
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作者单位: CSIRO Land and WaterACT, Australia; Institute of Industrial Science, University of Tokyo, Tokyo, Japan; Department of Integrated Climate Change Projection Research, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan; Royal Irrigation Department, Bangkok, Thailand; United Nations University, 5 Chome-53-70 Jingumae, Shibuya, Tokyo, Japan
Recommended Citation:
May Mateo R,C,, Yamazaki D,et al. Impacts of spatial resolution and representation of flow connectivity on large-scale simulation of floods[J]. Hydrology and Earth System Sciences,2017-01-01,21(10)