scholarly journals Spatio-temporal variability of the isotopic input signal in a partly forested catchment: Implications for hydrograph separation

2018 ◽  
Vol 33 (1) ◽  
pp. 36-46 ◽  
Author(s):  
Carles Cayuela ◽  
Jérôme Latron ◽  
Josie Geris ◽  
Pilar Llorens
Keyword(s):  
Input Signal ◽  
Temporal Variability ◽  
Hydrograph Separation ◽  
Forested Catchment ◽  
Spatio Temporal

scholarly journals Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin

2019 ◽  
Author(s):  
Zhihua He ◽  
Katy Unger-Shayesteh ◽  
Sergiy Vorogushyn ◽  
Stephan M. Weise ◽  
Doris Duethmann ◽  
...  
Keyword(s):  
Bayesian Approach ◽  
Model Uncertainty ◽  
Temporal Variability ◽  
Isotope Fractionation ◽  
Cold Season ◽  
Water Sampling ◽  
Hydrograph Separation ◽  
Total Runoff ◽  
Spatio Temporal ◽  
The Bayesian Approach

Abstract. 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.

Spatio-Temporal Variability of Typhoon in the Recent 30 Years in the Northwest Pacific

2012 ◽  
Vol 14 (5) ◽  
pp. 611
Author(s):  
Caihong YANG ◽  
Cunjin XUE ◽  
Min JI
Keyword(s):  
Temporal Variability ◽  
Northwest Pacific ◽  
Spatio Temporal

scholarly journals Reliability Analysis of a Hypersonic Vehicle Panel with Spatio-Temporal Variability

AIAA Journal ◽  
2019 ◽  
Vol 57 (12) ◽  
pp. 5403-5415 ◽  
Author(s):  
Zhen Hu ◽  
Sankaran Mahadevan
Keyword(s):  
Reliability Analysis ◽  
Temporal Variability ◽  
Hypersonic Vehicle ◽  
Spatio Temporal
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