DOI: 10.5194/hess-21-2301-2017
Scopus记录号: 2-s2.0-85018346086
论文题名: Effects of uncertainty in soil properties on simulated hydrological states and fluxes at different spatio-temporal scales
作者: Baroni G ; , Zink M ; , Kumar R ; , Samaniego L ; , Attinger S
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 5 起始页码: 2301
结束页码: 2320
语种: 英语
Scopus关键词: Catchments
; Characterization
; Groundwater
; Hydrology
; Perturbation techniques
; Soil moisture
; Uncertainty analysis
; Ground water recharge
; Hydrological modeling
; Hydrological modelling
; Model grid resolution
; Spatial and temporal scale
; Spatial variability
; Spatio-temporal scale
; Temporal and spatial
; Soils
; data assimilation
; heterogeneity
; hydrological regime
; perturbation
; soil moisture
; soil property
; spatiotemporal analysis
; water flow
; Germany
; Neckar Basin
英文摘要: Soil properties show high heterogeneity at different spatial scales and their correct characterization remains a crucial challenge over large areas. The aim of the study is to quantify the impact of different types of uncertainties that arise from the unresolved soil spatial variability on simulated hydrological states and fluxes. Three perturbation methods are presented for the characterization of uncertainties in soil properties. The methods are applied on the soil map of the upper Neckar catchment (Germany), as an example. The uncertainties are propagated through the distributed mesoscale hydrological model (mHM) to assess the impact on the simulated states and fluxes. The model outputs are analysed by aggregating the results at different spatial and temporal scales. These results show that the impact of the different uncertainties introduced in the original soil map is equivalent when the simulated model outputs are analysed at the model grid resolution (i.e. 500ĝ€m). However, several differences are identified by aggregating states and fluxes at different spatial scales (by subcatchments of different sizes or coarsening the grid resolution). Streamflow is only sensitive to the perturbation of long spatial structures while distributed states and fluxes (e.g. soil moisture and groundwater recharge) are only sensitive to the local noise introduced to the original soil properties. A clear identification of the temporal and spatial scale for which finer-resolution soil information is (or is not) relevant is unlikely to be universal. However, the comparison of the impacts on the different hydrological components can be used to prioritize the model improvements in specific applications, either by collecting new measurements or by calibration and data assimilation approaches. In conclusion, the study underlines the importance of a correct characterization of uncertainty in soil properties. With that, soil maps with additional information regarding the unresolved soil spatial variability would provide strong support to hydrological modelling applications. © Author(s) 2017. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79186
Appears in Collections: 气候变化事实与影响
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作者单位: Department Computational Hydrosystems, Helmholtz Centre for Environmental Research - UFZ, Permoserstrasse 15, Leipzig, Germany; Institute of Earth and Environmental Sciences, University of Potsdam, Karl-Liebknecht-Str. 24-25, Potsdam, Germany
Recommended Citation:
Baroni G,, Zink M,, Kumar R,et al. Effects of uncertainty in soil properties on simulated hydrological states and fluxes at different spatio-temporal scales[J]. Hydrology and Earth System Sciences,2017-01-01,21(5)