DOI: 10.5194/hess-21-2817-2017
Scopus记录号: 2-s2.0-85020716052
论文题名: Unravelling abiotic and biotic controls on the seasonal water balance using data-driven dimensionless diagnostics
作者: Seibert S ; P ; , Jackisch C ; , Ehret U ; , Pfister L ; , Zehe E
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 6 起始页码: 2817
结束页码: 2841
语种: 英语
Scopus关键词: Catchments
; Digital storage
; Hydraulic conductivity
; Statistical tests
; Diagnostic potential
; Hydrological functions
; Hydrological process
; Hydrometeorological data
; Runoff generation process
; Saturated hydraulic conductivity
; Temperature index models
; Topographic gradients
; Runoff
; abiotic factor
; biotic factor
; catchment
; data management
; data set
; dimensionless number
; hydraulic conductivity
; hydrometeorology
; innovation
; runoff
; seasonal variation
; streamflow
; topography
; water budget
; Germany
英文摘要: The baffling diversity of runoff generation processes, alongside our sketchy understanding of how physiographic characteristics control fundamental hydrological functions of water collection, storage, and release, continue to pose major research challenges in catchment hydrology. Here, we propose innovative data-driven diagnostic signatures for overcoming the prevailing status quo in catchment inter-comparison. More specifically, we present dimensionless double mass curves (dDMC) which allow inference of information on runoff generation and the water balance at the seasonal and annual timescales. By separating the vegetation and winter periods, dDMC furthermore provide information on the role of biotic and abiotic controls in seasonal runoff formation. A key aspect we address in this paper is the derivation of dimensionless expressions of fluxes which ensure the comparability of the signatures in space and time. We achieve this by using the limiting factors of a hydrological process as a scaling reference. We show that different references result in different diagnostics. As such we define two kinds of dDMC which allow us to derive seasonal runoff coefficients and to characterize dimensionless streamflow release as a function of the potential renewal rate of the soil storage. We expect these signatures for storage controlled seasonal runoff formation to remain invariant, as long as the ratios of release over supply and supply over storage capacity develop similarly in different catchments. We test the proposed methods by applying them to an operational data set comprising 22 catchments (12-166 km2) from different environments in southern Germany and hydrometeorological data from 4 hydrological years. The diagnostics are used to compare the sites and to reveal the dominant controls on runoff formation. The key findings are that dDMC are meaningful signatures for catchment runoff formation at the seasonal to annual scale and that the type of scaling strongly influences the diagnostic potential of the dDMC. Adding discrimination between growing season and winter period was of fundamental importance and easy to implement by means of a temperature-index model. More specifically, temperature aggregates explain over 70 % of the variability of the seasonal summer runoff coefficients. The results also show that the soil topographic index, i.e. the product of topographic gradient and saturated hydraulic conductivity, is significantly correlated with winter runoff coefficients, whereas the topographic gradient and the hydraulic conductivity alone are not. We conclude that proxies for gradients and resistances should be interpreted as a pair. Lastly, the dDMC concept reveals memory effects between summer and winter runoff regimes that are not relevant in spring between the transition from winter to summer. © Author(s) 2017. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79158
Appears in Collections: 气候变化事实与影响
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作者单位: Karlsruhe Institute of Technology (KIT), Institute for Water and River Basin Management, Department of Hydrology, Kaiserstrasse 12, Karlsruhe, Germany; Luxembourg Institute of Science and Technology, Department Environmental Research and Innovation, Catchment and Eco-hydrology research group, 5 avenue des Hauts-Fourneaux, Esch/Alzette, Luxembourg
Recommended Citation:
Seibert S,P,, Jackisch C,et al. Unravelling abiotic and biotic controls on the seasonal water balance using data-driven dimensionless diagnostics[J]. Hydrology and Earth System Sciences,2017-01-01,21(6)