DOI: 10.5194/hess-20-4983-2016
Scopus记录号: 2-s2.0-85007019046
论文题名: Calibration of channel depth and friction parameters in the LISFLOOD-FP hydraulic model using medium-resolution SAR data and identifiability techniques
作者: Wood M ; , Hostache R ; , Neal J ; , Wagener T ; , Giustarini L ; , Chini M ; , Corato G ; , Matgen P ; , Bates P
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 12 起始页码: 4983
结束页码: 4997
语种: 英语
Scopus关键词: Floods
; Geodetic satellites
; Hydraulic models
; Radar imaging
; Satellites
; Sensitivity analysis
; Synthetic aperture radar
; Cross-section surveys
; ENVISAT satellite
; Flood hydrographs
; Friction parameters
; Identifiability analysis
; Information contents
; Moderate resolution
; Performance measure
; Space-based radar
; bed roughness
; calibration
; Envisat
; friction
; hydrograph
; hydrological modeling
; image resolution
; performance assessment
; satellite data
; satellite imagery
; synthetic aperture radar
; water depth
; Avon River [England]
; England
; Severn River [United Kingdom]
; United Kingdom
英文摘要: Single satellite synthetic aperture radar (SAR) data are now regularly used to estimate hydraulic model parameters such as channel roughness, depth and water slope. However, despite channel geometry being critical to the application of hydraulic models and poorly known a priori, it is not frequently the object of calibration. This paper presents a unique method to simultaneously calibrate the bankfull channel depth and channel roughness parameters within a 2-D LISFLOOD-FP hydraulic model using an archive of moderate-resolution (150 m) ENVISAT satellite SAR-derived flood extent maps and a binary performance measure for a 30×50 km domain covering the confluence of the rivers Severn and Avon in the UK. The unknown channel parameters are located by a novel technique utilising the information content and dynamic identifiability analysis (DYNIA) (Wagener et al., 2003) of single and combinations of SAR flood extent maps to find the optimum satellite images for model calibration. Highest information content is found in those SAR flood maps acquired near the peak of the flood hydrograph, and improves when more images are combined. We found that model sensitivity to variation in channel depth is greater than for channel roughness and a successful calibration for depth could only be obtained when channel roughness values were confined to a plausible range. The calibrated reach-average channel depth was within 0.9 m (16 % error) of the equivalent value determined from river cross-section survey data, demonstrating that a series of moderate-resolution SAR data can be used to successfully calibrate the depth parameters of a 2-D hydraulic model. © 2016 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78661
Appears in Collections: 气候变化事实与影响
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作者单位: School of Geographical Sciences, University of Bristol, University Road, Bristol, United Kingdom; Luxembourg Institute of Science and Technology (LIST), 41 rue du Brill, Belvaux, Luxembourg; School of Engineering, University of Bristol, Queen's Building, University Walk, Bristol, United Kingdom
Recommended Citation:
Wood M,, Hostache R,, Neal J,et al. Calibration of channel depth and friction parameters in the LISFLOOD-FP hydraulic model using medium-resolution SAR data and identifiability techniques[J]. Hydrology and Earth System Sciences,2016-01-01,20(12)