DOI: 10.5194/hess-21-549-2017
Scopus记录号: 2-s2.0-85011082291
论文题名: Spatially distributed characterization of soil-moisture dynamics using travel-time distributions
作者: Heße F ; , Zink M ; , Kumar R ; , Samaniego L ; , Attinger S
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 1 起始页码: 549
结束页码: 570
语种: 英语
Scopus关键词: Catchments
; Characterization
; Digital storage
; Moisture
; Runoff
; Soil moisture
; Spatial distribution
; Calibration and verification
; Hydrological modeling
; Potential evapotranspiration
; Soil moisture dynamics
; Spatial arrangements
; Spatial heterogeneity
; Streamflow hydrograph
; Travel time distributions
; Travel time
; calibration
; catchment
; heterogeneity
; hydrographic survey
; hydrological cycle
; potential evapotranspiration
; precipitation assessment
; soil moisture
; spatial distribution
; streamflow
; travel time
; Germany
英文摘要: Travel-time distributions are a comprehensive tool for the characterization of hydrological system dynamics. Unlike the streamflow hydrograph, they describe the movement and storage of water within and throughout the hydrological system. Until recently, studies using such travel-time distributions have generally either been applied to lumped models or to real-world catchments using available time series, e.g., stable isotopes. Whereas the former are limited in their realism and lack information on the spatial arrangements of the relevant quantities, the latter are limited in their use of available data sets. In our study, we employ the spatially distributed mesoscale Hydrological Model (mHM) and apply it to a catchment in central Germany. Being able to draw on multiple large data sets for calibration and verification, we generate a large array of spatially distributed states and fluxes. These hydrological outputs are then used to compute the travel-time distributions for every grid cell in the modeling domain. A statistical analysis indicates the general soundness of the upscaling scheme employed in mHM and reveals precipitation, saturated soil moisture and potential evapotranspiration as important predictors for explaining the spatial heterogeneity of mean travel times. In addition, we demonstrate and discuss the high information content of mean travel times for characterization of internal hydrological processes. © Author(s) 2017. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79280
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Computational Hydrosystems, UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany; Institute of Geosciences, Faculty for Chemistry and Earth Sciences, Friedrich-Schiller-University Jena, Jena, Germany
Recommended Citation:
Heße F,, Zink M,, Kumar R,et al. Spatially distributed characterization of soil-moisture dynamics using travel-time distributions[J]. Hydrology and Earth System Sciences,2017-01-01,21(1)