دورية أكاديمية
Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin.
| العنوان: | Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin. |
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| المؤلفون: | Zhihua He, Unger-Shayesteh, Katy, Vorogushyn, Sergiy, Weise, Stephan M., Duethmann, Doris, Kalashnikova, Olga, Gafurov, Abror, Merz, Bruno |
| المصدر: | Hydrology & Earth System Sciences Discussions; 2019, p1-41, 41p |
| مستخلص: | Water tracer data have been successfully used for hydrograph separation in glacierized basins. However, uncertainties in the hydrograph separation are large in these basins, caused by the spatio-temporal 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 Asia glacierized basin. The contributions of runoff components (CRC) to the total runoff, as well as the corresponding uncertainty, were quantified by two mixing approaches: a traditional end-member mixing approach (TEMMA) and a Bayesian end-member mixing approach. The performance of the two mixing approaches were compared in three seasons, distinguished as cold season, snowmelt season and glacier melt season. Results show that: 1) The Bayesian approach generally estimated smaller uncertainty ranges for the CRC compared to the TEMMA. 2) The Bayesian approach tended to be less sensitive to the sampling uncertainties of meltwater than the TEMMA. 3) Ignoring the model uncertainty caused by the isotope fractionation likely leaded 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 insights for the application of tracer-based mixing approaches for similar basins. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: | Complementary Index |
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