DOI: 10.5194/hess-19-4001-2015
Scopus记录号: 2-s2.0-84942745253
论文题名: Singularity-sensitive gauge-based radar rainfall adjustment methods for urban hydrological applications
作者: Wang L ; -P ; , Ochoa-Rodriguez S ; , Onof C ; , Willems P
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 9 起始页码: 4001
结束页码: 4021
语种: 英语
Scopus关键词: Catchments
; Gages
; Hydrology
; Radar
; Rain gages
; Runoff
; Gaussian approximations
; Hydrological modelling
; Rainfall structures
; Sensitive techniques
; Singularity analysis
; Urban drainage model
; Urban drainage systems
; Urban hydrological modelling
; Rain
; Bayesian analysis
; hydrological modeling
; peak flow
; radar
; rainfall-runoff modeling
; raingauge
; urban drainage
; Edinburgh [Edinburgh (ADS)]
; Edinburgh [Scotland]
; Scotland
; United Kingdom
英文摘要: Gauge-based radar rainfall adjustment techniques have been widely used to improve the applicability of radar rainfall estimates to large-scale hydrological modelling. However, their use for urban hydrological applications is limited as they were mostly developed based upon Gaussian approximations and therefore tend to smooth off so-called "singularities" (features of a non-Gaussian field) that can be observed in the fine-scale rainfall structure. Overlooking the singularities could be critical, given that their distribution is highly consistent with that of local extreme magnitudes. This deficiency may cause large errors in the subsequent urban hydrological modelling. To address this limitation and improve the applicability of adjustment techniques at urban scales, a method is proposed herein which incorporates a local singularity analysis into existing adjustment techniques and allows the preservation of the singularity structures throughout the adjustment process. In this paper the proposed singularity analysis is incorporated into the Bayesian merging technique and the performance of the resulting singularity-sensitive method is compared with that of the original Bayesian (non singularity-sensitive) technique and the commonly used mean field bias adjustment. This test is conducted using as case study four storm events observed in the Portobello catchment (53 km2) (Edinburgh, UK) during 2011 and for which radar estimates, dense rain gauge and sewer flow records, as well as a recently calibrated urban drainage model were available. The results suggest that, in general, the proposed singularity-sensitive method can effectively preserve the non-normality in local rainfall structure, while retaining the ability of the original adjustment techniques to generate nearly unbiased estimates. Moreover, the ability of the singularity-sensitive technique to preserve the non-normality in rainfall estimates often leads to better reproduction of the urban drainage system's dynamics, particularly of peak runoff flows. © Author(s) 2015. CC Attribution 3.0 License. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78418
Appears in Collections: 气候变化事实与影响
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作者单位: Hydraulics Laboratory, Katholieke Universiteit Leuven, Heverlee (Leuven), Belgium; Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom
Recommended Citation:
Wang L,-P,, Ochoa-Rodriguez S,et al. Singularity-sensitive gauge-based radar rainfall adjustment methods for urban hydrological applications[J]. Hydrology and Earth System Sciences,2015-01-01,19(9)