UNCERTAIN BOUNDARY-CONDITIONS
; RASTER-BASED MODEL
; CLIMATE-CHANGE
; TOPOGRAPHIC DATA
; WATER-FLOW
; 1D
; RIVER
; RESOLUTION
; RISK
; CALIBRATION
WOS学科分类:
Environmental Sciences
; Water Resources
WOS研究方向:
Environmental Sciences & Ecology
; Water Resources
英文摘要:
Hydraulic models play an important role in determining flood inundation areas. When considering a wide array of one- (1D) and two-dimensional (2D) hydraulic models, selecting an appropriate model and its calibration are crucial in an accurate prediction of flood inundation. This study compares the performance of four commonly used 1D and 2D hydraulic models, including HEC-RAS 1D, HEC-RAS 2D, LISFLOOD-FP diffusive, and LISFLOOD-FP subgrid, with respect to their model structure and their sensitivity to surface roughness characterisation. Application of these models to four study reaches with different river geometry and roughness characterisation shows that for a given set of roughness condition, the geometry, including the sinuosity, reach length and floodplain width, does not affect the performance of a 1D or 2D model. Overall, the performance of a 1D model is comparable to the 2D models used in the study, with the 2D models showing slightly better results. The performance of 2D models is affected by low channel roughness, and it improves with increasing channel roughness that enables more water to enter into the floodplain. On the contrary, the performance of 1D model is positively affected with increasing floodplain roughness. When the models are evaluated for uniform versus distributed roughness characterisation in the floodplain, the uniform surface characterisation provides the best results compared to the distributed roughness characterisation.
Purdue Univ, Lyles Sch Civil Engn, 550 Stadium Mall Dr, W Lafayette, IN 47907 USA
Recommended Citation:
Liu, Z.,Merwade, V.,Jafarzadegan, K.. Investigating the role of model structure and surface roughness in generating flood inundation extents using one- and two-dimensional hydraulic models[J]. JOURNAL OF FLOOD RISK MANAGEMENT,2019-01-01,12(1)