Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin
<p>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 samplin...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-06-01
|
Series: | Hydrology and Earth System Sciences |
Online Access: | https://www.hydrol-earth-syst-sci.net/24/3289/2020/hess-24-3289-2020.pdf |
id |
doaj-6d4585e9e32448bd960fea6f3a4f9495 |
---|---|
record_format |
Article |
spelling |
doaj-6d4585e9e32448bd960fea6f3a4f94952020-11-25T02:47:51ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382020-06-01243289330910.5194/hess-24-3289-2020Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basinZ. He0Z. He1K. Unger-Shayesteh2S. Vorogushyn3S. M. Weise4D. Duethmann5D. Duethmann6O. Kalashnikova7A. Gafurov8B. Merz9B. Merz10Hydrology Section, GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam, Germanynow at: Center for Hydrology, University of Saskatchewan, Saskatoon, Saskatchewan, CanadaInternational Relations, German Aerospace Center (DLR), Linder Höhe, Cologne, GermanyHydrology Section, GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam, GermanyDepartment of Catchment Hydrology, Helmholtz Centre for Environmental Research (UFZ), Halle, GermanyInstitute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology (TU Wien), Vienna, AustriaDepartment of Ecohydrology, Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, GermanyClimate, Water and Natural Resources Department, Central Asian Institute for Applied Geosciences (CAIAG), Bishkek, KyrgyzstanHydrology Section, GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam, GermanyHydrology Section, GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam, GermanyInstitute for Environmental Sciences and Geography, University of Potsdam, Potsdam, Germany<p>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 (<span class="inline-formula"><i>δ</i></span><span class="inline-formula"><sup>18</sup>O</span> and <span class="inline-formula"><i>δ</i></span><span class="inline-formula"><sup>2</sup>H</span>) 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.</p>https://www.hydrol-earth-syst-sci.net/24/3289/2020/hess-24-3289-2020.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Z. He Z. He K. Unger-Shayesteh S. Vorogushyn S. M. Weise D. Duethmann D. Duethmann O. Kalashnikova A. Gafurov B. Merz B. Merz |
spellingShingle |
Z. He Z. He K. Unger-Shayesteh S. Vorogushyn S. M. Weise D. Duethmann D. Duethmann O. Kalashnikova A. Gafurov B. Merz B. Merz Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin Hydrology and Earth System Sciences |
author_facet |
Z. He Z. He K. Unger-Shayesteh S. Vorogushyn S. M. Weise D. Duethmann D. Duethmann O. Kalashnikova A. Gafurov B. Merz B. Merz |
author_sort |
Z. He |
title |
Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin |
title_short |
Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin |
title_full |
Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin |
title_fullStr |
Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin |
title_full_unstemmed |
Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin |
title_sort |
comparing bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin |
publisher |
Copernicus Publications |
series |
Hydrology and Earth System Sciences |
issn |
1027-5606 1607-7938 |
publishDate |
2020-06-01 |
description |
<p>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 (<span class="inline-formula"><i>δ</i></span><span class="inline-formula"><sup>18</sup>O</span> and
<span class="inline-formula"><i>δ</i></span><span class="inline-formula"><sup>2</sup>H</span>) 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.</p> |
url |
https://www.hydrol-earth-syst-sci.net/24/3289/2020/hess-24-3289-2020.pdf |
work_keys_str_mv |
AT zhe comparingbayesianandtraditionalendmembermixingapproachesforhydrographseparationinaglacierizedbasin AT zhe comparingbayesianandtraditionalendmembermixingapproachesforhydrographseparationinaglacierizedbasin AT kungershayesteh comparingbayesianandtraditionalendmembermixingapproachesforhydrographseparationinaglacierizedbasin AT svorogushyn comparingbayesianandtraditionalendmembermixingapproachesforhydrographseparationinaglacierizedbasin AT smweise comparingbayesianandtraditionalendmembermixingapproachesforhydrographseparationinaglacierizedbasin AT dduethmann comparingbayesianandtraditionalendmembermixingapproachesforhydrographseparationinaglacierizedbasin AT dduethmann comparingbayesianandtraditionalendmembermixingapproachesforhydrographseparationinaglacierizedbasin AT okalashnikova comparingbayesianandtraditionalendmembermixingapproachesforhydrographseparationinaglacierizedbasin AT agafurov comparingbayesianandtraditionalendmembermixingapproachesforhydrographseparationinaglacierizedbasin AT bmerz comparingbayesianandtraditionalendmembermixingapproachesforhydrographseparationinaglacierizedbasin AT bmerz comparingbayesianandtraditionalendmembermixingapproachesforhydrographseparationinaglacierizedbasin |
_version_ |
1724750780517318656 |