DOI: 10.5194/hess-22-331-2018
Scopus记录号: 2-s2.0-85040552384
论文题名: Scale effect challenges in urban hydrology highlighted with a distributed hydrological model
作者: Ichiba A ; , Gires A ; , Tchiguirinskaia I ; , Schertzer D ; , Bompard P ; , Veldhuis M ; -C ; T
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2018
卷: 22, 期: 1 起始页码: 331
结束页码: 350
语种: 英语
Scopus关键词: Climate models
; Fractals
; Research and development management
; Solute transport
; Water management
; Distributed hydrological model
; Hydrological modeling
; Hydrological models
; Multi-scale modelling
; Numerical instability
; Physically based modeling
; Research activities
; Urban water management
; Hydrology
; calibration
; data quality
; geophysical method
; hydrological modeling
; innovation
; performance assessment
; pixel
; spatial resolution
; spatial variation
; urban area
; water management
英文摘要: Hydrological models are extensively used in urban water management, development and evaluation of future scenarios and research activities. There is a growing interest in the development of fully distributed and grid-based models. However, some complex questions related to scale effects are not yet fully understood and still remain open issues in urban hydrology. In this paper we propose a two-step investigation framework to illustrate the extent of scale effects in urban hydrology. First, fractal tools are used to highlight the scale dependence observed within distributed data input into urban hydrological models. Then an intensive multi-scale modelling work is carried out to understand scale effects on hydrological model performance. Investigations are conducted using a fully distributed and physically based model, Multi-Hydro, developed at Ecole des Ponts ParisTech. The model is implemented at 17 spatial resolutions ranging from 100 to 5m. Results clearly exhibit scale effect challenges in urban hydrology modelling. The applicability of fractal concepts highlights the scale dependence observed within distributed data. Patterns of geophysical data change when the size of the observation pixel changes. The multi-scale modelling investigation confirms scale effects on hydrological model performance. Results are analysed over three ranges of scales identified in the fractal analysis and confirmed through modelling. This work also discusses some remaining issues in urban hydrology modelling related to the availability of high-quality data at high resolutions, and model numerical instabilities as well as the computation time requirements. The main findings of this paper enable a replacement of traditional methods of model calibration by innovative methods of model resolution alteration based on the spatial data variability and scaling of flows in urban hydrology. © 2018 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79426
Appears in Collections: 气候变化事实与影响
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作者单位: HMCO, Ecole des Ponts ParisTech, Université Paris-Est, 6-8 Av Blaise Pascal Cité Descartes, Marne-la-Vallée, France; Conseil Départemental du Val-de-Marne, Direction des Services de l'Environnement et de l'Assainissement (DSEA), Bonneuil-sur-Marne, France; Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, GA Delft, Netherlands
Recommended Citation:
Ichiba A,, Gires A,, Tchiguirinskaia I,et al. Scale effect challenges in urban hydrology highlighted with a distributed hydrological model[J]. Hydrology and Earth System Sciences,2018-01-01,22(1)