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DOI | 10.5194/hess-23-2507-2019 |
Spatially distributed tracer-aided runoff modelling and dynamics of storage and water ages in a permafrost-influenced catchment | |
Piovano T.I.; Tetzlaff D.; Carey S.K.; Shatilla N.J.; Smith A.; Soulsby C. | |
发表日期 | 2019 |
ISSN | 1027-5606 |
起始页码 | 2507 |
结束页码 | 2523 |
卷号 | 23期号:6 |
英文摘要 | Permafrost strongly controls hydrological processes in cold regions. Our understanding of how changes in seasonal and perennial frozen ground disposition and linked storage dynamics affect runoff generation processes remains limited. Storage dynamics and water redistribution are influenced by the seasonal variability and spatial heterogeneity of frozen ground, snow accumulation and melt. Stable isotopes are potentially useful for quantifying the dynamics of water sources, flow paths and ages, yet few studies have employed isotope data in permafrost-influenced catchments. Here, we applied the conceptual model STARR (the Spatially distributed Tracer-Aided Rainfall-Runoff model), which facilitates fully distributed simulations of hydrological storage dynamics and runoff processes, isotopic composition and water ages. We adapted this model for a subarctic catchment in Yukon Territory, Canada, with a time-variable implementation of field capacity to include the influence of thaw dynamics. A multi-criteria calibration based on stream flow, snow water equivalent and isotopes was applied to 3 years of data. The integration of isotope data in the spatially distributed model provided the basis for quantifying spatiooral dynamics of water storage and ages, emphasizing the importance of thaw layer dynamics in mixing and damping the melt signal. By using the model conceptualization of spatially and temporally variable storage, this study demonstrates the ability of tracer-aided modelling to capture thaw layer dynamics that cause mixing and damping of the isotopic melt signal. © 2019 Author(s). |
语种 | 英语 |
scopus关键词 | Catchments; Damping; Digital storage; Isotopes; Mixing; Permafrost; Snow; Spatial distribution; Stream flow; Thawing; Distributed simulations; Isotopic composition; Rainfall-runoff modeling; Runoff generation process; Seasonal variability; Snow water equivalent; Spatial heterogeneity; Spatially distributed modeling; Runoff; catchment; field capacity; frozen ground; modeling; permafrost; rainfall-runoff modeling; seasonal variation; snow accumulation; snow water equivalent; spatial distribution; streamflow; water storage; Canada; Yukon Territory |
来源期刊 | Hydrology and Earth System Sciences
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/159672 |
作者单位 | Piovano, T.I., Northern Rivers Institute, University of Aberdeen, Aberdeen, AB24 3UF, United Kingdom; Tetzlaff, D., Northern Rivers Institute, University of Aberdeen, Aberdeen, AB24 3UF, United Kingdom, Geography Department, Humboldt-Universität zu Berlin, Berlin, 12489, Germany, IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, 12587, Germany; Carey, S.K., School of Geography and Earth Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada; Shatilla, N.J., School of Geography and Earth Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada; Smith, A., IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, 12587, Germany; Soulsby, C., Northern Rivers Institute, University of Aberdeen, Aberdeen, AB24 3UF, United Kingdom |
推荐引用方式 GB/T 7714 | Piovano T.I.,Tetzlaff D.,Carey S.K.,et al. Spatially distributed tracer-aided runoff modelling and dynamics of storage and water ages in a permafrost-influenced catchment[J],2019,23(6). |
APA | Piovano T.I.,Tetzlaff D.,Carey S.K.,Shatilla N.J.,Smith A.,&Soulsby C..(2019).Spatially distributed tracer-aided runoff modelling and dynamics of storage and water ages in a permafrost-influenced catchment.Hydrology and Earth System Sciences,23(6). |
MLA | Piovano T.I.,et al."Spatially distributed tracer-aided runoff modelling and dynamics of storage and water ages in a permafrost-influenced catchment".Hydrology and Earth System Sciences 23.6(2019). |
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