DOI: 10.5194/hess-20-2557-2016
Scopus记录号: 2-s2.0-84977106628
论文题名: Subgrid spatial variability of soil hydraulic functions for hydrological modelling
作者: Kreye P ; , Meon G
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 6 起始页码: 2557
结束页码: 2571
语种: 英语
Scopus关键词: Hydrology
; Soils
; Hydraulic functions
; Hydrological modelling
; Runoff characteristics
; Saturated hydraulic conductivity
; Soil hydraulic functions
; Spatial variability
; Spatially distributed hydrological model
; Universal functions
; Hydraulic conductivity
; correlation
; heterogeneity
; hydraulic conductivity
; hydrological modeling
; parameterization
; regression analysis
; runoff
; soil water
; spatial variation
; statistical analysis
英文摘要: State-of-the-art hydrological applications require a process-based, spatially distributed hydrological model. Runoff characteristics are demanded to be well reproduced by the model. Despite that, the model should be able to describe the processes at a subcatchment scale in a physically credible way. The objective of this study is to present a robust procedure to generate various sets of parameterisations of soil hydraulic functions for the description of soil heterogeneity on a subgrid scale. Relations between Rosetta-generated values of saturated hydraulic conductivity (Ks) and van Genuchten's parameters of soil hydraulic functions were statistically analysed. An universal function that is valid for the complete bandwidth of Ks values could not be found. After concentrating on natural texture classes, strong correlations were identified for all parameters. The obtained regression results were used to parameterise sets of hydraulic functions for each soil class. The methodology presented in this study is applicable on a wide range of spatial scales and does not need input data from field studies. The developments were implemented into a hydrological modelling system. © Author(s) 2016.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78807
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Hydrology, Water Resources Management and Water Protection, Leichtweiß-Institute for Hydraulic Engineering and Water Resources, University of Braunschweig, Beethovenstr. 51a, Braunschweig, Germany
Recommended Citation:
Kreye P,, Meon G. Subgrid spatial variability of soil hydraulic functions for hydrological modelling[J]. Hydrology and Earth System Sciences,2016-01-01,20(6)