Publication Details

Category Text Publication
Reference Category Journals
DOI 10.5194/hess-24-3289-2020
Licence creative commons licence
Title (Primary) Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin
Author He, Z.; Unger-Shayesteh, K.; Vorogushyn, S.; Weise, S.M.; Duethmann, D.; Kalashnikova, O.; Gafurov, A.; Merz, B.
Source Titel Hydrology and Earth System Sciences
Year 2020
Department CATHYD
Volume 24
Issue 6
Page From 3289
Page To 3309
Language englisch
Data and Software links
Abstract 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.
Persistent UFZ Identifier
He, Z., Unger-Shayesteh, K., Vorogushyn, S., Weise, S.M., Duethmann, D., Kalashnikova, O., Gafurov, A., Merz, B. (2020):
Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin
Hydrol. Earth Syst. Sci. 24 (6), 3289 - 3309 10.5194/hess-24-3289-2020