DOI: 10.5194/hess-23-51-2019
论文题名: Storage dynamics; hydrological connectivity and flux ages in a karst catchment: Conceptual modelling using stable isotopes
作者: Zhang Z. ; Chen X. ; Cheng Q. ; Soulsby C.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2019
卷: 23, 期: 1 起始页码: 51
结束页码: 71
语种: 英语
Scopus关键词: Calibration
; Catchments
; Digital storage
; Dynamics
; Groundwater
; Isotopes
; Landforms
; Runoff
; Uncertainty analysis
; Conceptual modelling
; High temporal resolution
; Hydroclimatic conditions
; Hydrological connectivity
; Hydrological modeling
; Hydrological variables
; Seasonal variability
; Sources of uncertainty
; Reservoirs (water)
; catchment
; connectivity
; groundwater
; hillslope
; hydrological change
; hydrological modeling
; karst
; landscape
; low flow
; outflow
; reservoir
; stable isotope
; water flux
; water storage
; China
; Guizhou
英文摘要: We developed a new tracer-aided hydrological model that disaggregates cockpit karst terrain into the two dominant landscape units of hillslopes and depressions (with fast and slow flow systems). The new model was calibrated by using high temporal resolution hydrometric and isotope data in the outflow of Chenqi catchment in Guizhou Province of south-western China. The model could track hourly water and isotope fluxes through each landscape unit and estimate the associated storage and water age dynamics. From the model results we inferred that the fast flow reservoir in the depression had the smallest water storage and the slow flow reservoir the largest, with the hillslope intermediate. The estimated mean ages of water draining the hillslope unit, and the fast and slow flow reservoirs during the study period, were 137, 326 and 493 days, respectively. Distinct seasonal variability in hydroclimatic conditions and associated water storage dynamics (captured by the model) were the main drivers of non-stationary hydrological connectivity between the hillslope and depression. During the dry season, slow flow in the depression contributes the largest proportion (78.4%) of flow to the underground stream draining the catchment, resulting in weak hydrological connectivity between the hillslope and depression. During the wet period, with the resulting rapid increase in storage, the hillslope unit contributes the largest proportion (57.5%) of flow to the underground stream due to the strong hydrological connectivity between the hillslope and depression. Meanwhile, the tracer-aided model can be used to identify the sources of uncertainty in the model results. Our analysis showed that the model uncertainty of the hydrological variables in the different units relies on their connectivity with the outlet when the calibration target uses only the outlet information. The model uncertainty was much lower for the "newer" water from the fast flow system in the depression and flow from the hillslope unit during the wet season and higher for "older" water from the slow flow system in the depression. This suggests that to constrain model parameters further, increased high-resolution hydrometric and tracer data on the internal dynamics of systems (e.g. groundwater responses during low flow periods) could be used in calibration. © Author(s) 2019.All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163085
Appears in Collections: 气候变化与战略
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作者单位: Zhang, Z., State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China, School of Geosciences, University of Aberdeen, Aberdeen, AB24 3UF, United Kingdom, College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China; Chen, X., Institute of Surface-Earth System Science, Tianjin University, Tianjin, China; Cheng, Q., State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China, College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China; Soulsby, C., School of Geosciences, University of Aberdeen, Aberdeen, AB24 3UF, United Kingdom
Recommended Citation:
Zhang Z.,Chen X.,Cheng Q.,et al. Storage dynamics; hydrological connectivity and flux ages in a karst catchment: Conceptual modelling using stable isotopes[J]. Hydrology and Earth System Sciences,2019-01-01,23(1)