气候变化领域集成服务门户(CCPortal): Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin

CCPortal

DOI	10.5194/hess-24-3289-2020
	Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin
	He Z.; Unger-Shayesteh K.; Vorogushyn S.; M. Weise S.; Duethmann D.; Kalashnikova O.; Gafurov A.; Merz B.
发表日期	2020
ISSN	1027-5606
起始页码	3289
结束页码	3309
卷号	24 期号:6
英文摘要	Tracer data have been successfully used for hydrograph separation in glacierized basins. However, in these basins uncertainties of the hydrograph separation are large and are caused by the spatiotemporal variability in the tracer signatures of water sources, the uncertainty of water sampling, and the mixing model uncertainty. In this study, we used electrical conductivity (EC) measurements and two isotope signatures (δ18O and δ2H) to label the runoff components, including groundwater, snow and glacier meltwater, and rainfall, in a Central Asian glacierized basin. The contributions of runoff components (CRCs) to the total runoff and the corresponding uncertainty were quantified by two mixing approaches, namely a traditional end-member mixing approach (abbreviated as EMMA) and a Bayesian end-member mixing approach. The performance of the two mixing approaches was compared in three seasons that are distinguished as the cold season, snowmelt season, and glacier melt season. The results show the following points. (1) The Bayesian approach generally estimated smaller uncertainty ranges for the CRC when compared to the EMMA. (2) The Bayesian approach tended to be less sensitive to the sampling uncertainties of meltwater than the EMMA. (3) Ignoring the model uncertainty caused by the isotope fractionation likely led to an overestimated rainfall contribution and an underestimated meltwater share in the melt seasons. Our study provides the first comparison of the two end-member mixing approaches for hydrograph separation in glacierized basins and gives insight into the application of tracer-based mixing approaches in similar basins. © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
语种	英语
scopus关键词	Bayesian networks; Groundwater; Isotopes; Mixing; Rain; Runoff; Separation; Tracers; Bayesian approaches; Electrical conductivity; Hydrograph separation; Isotope fractionation; Model uncertainties; Rainfall contributions; Sampling uncertainties; Spatiotemporal variability; Uncertainty analysis; Bayesian analysis; glacier flow; hydrographic survey; meltwater; mixing; oxygen isotope; precipitation intensity; runoff; seasonality; tracer
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159364
作者单位	He, Z., Hydrology Section, GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam, Germany, Center for Hydrology, University of Saskatchewan, Saskatoon, SK, Canada; Unger-Shayesteh, K., International Relations, German Aerospace Center (DLR) Linder Höhe, Cologne, Germany; Vorogushyn, S., Hydrology Section, GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam, Germany; M. Weise, S., Department of Catchment Hydrology, Helmholtz Centre for Environmental Research (UFZ), Halle, Germany; Duethmann, D., Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology (TU Wien), Vienna, Austria, Department of Ecohydrology, Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany; Kalashnikova, O., Climate, Water and Natural Resources Department, Central Asian Institute for Applied Geosciences (CAIAG), Bishkek, Kyrgyzstan; Gafurov, A., Hydrology Section, GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam, Germa...
推荐引用方式 GB/T 7714	He Z.,Unger-Shayesteh K.,Vorogushyn S.,et al. Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin[J],2020,24(6).
APA	He Z..,Unger-Shayesteh K..,Vorogushyn S..,M. Weise S..,Duethmann D..,...&Merz B..(2020).Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin.Hydrology and Earth System Sciences,24(6).
MLA	He Z.,et al."Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin".Hydrology and Earth System Sciences 24.6(2020).