TR32-Database: Database of Transregio 32

[1658] - Tracer sampling frequency influences estimates of young water fraction and streamwater transit time distribution

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Features
Citation
Stockinger, M., Bogena, H., Lücke, A., Diekkrüger, B., Cornelissen, T., Vereecken, H., 2016. Tracer sampling frequency influences estimates of young water fraction and streamwater transit time distribution. Journal of Hydrology, 952 - 964. DOI: 10.1016/j.jhydrol.2016.08.007.
Identification
Title(s):Main Title: Tracer sampling frequency influences estimates of young water fraction and streamwater transit time distribution
Description(s):Abstract: The streamwater transit time distribution (TTD) of a catchment is used to derive insights into the movement of precipitation water via various flow paths to the catchment’s stream. Typically, TTDs are estimated by using the convolution integral to model a weekly tracer signal measured in streamflow. Another approach for evaluating the transit time of water to the catchment stream is the fraction of young water (Fyw) in streamflow that is younger than a certain threshold age, which also relies on tracer data. However, few studies used tracer data with a higher sampling frequency than weekly. To investigate the influence of the sampling frequency of tracer data on estimates of TTD and Fyw, we estimated both indicators for a humid, mesoscale catchment in Germany using tracer data of weekly and higher sampling frequency. We made use of a 1.5 year long time series of daily to sub-daily precipitation and streamwater isotope measurements, which were aggregated to create the weekly resolution data set. We found that a higher sampling frequency improved the stream isotope simulation compared to a weekly one (0.35 vs. 0.24 Nash-Sutcliffe Efficiency) and showed more pronounced short-term dynamics in the simulation result. The TTD based on the high temporal resolution data was considerably different from the weekly one with a shift towards faster transit times, while its corresponding mean transit time of water particles was approximately reduced by half (from 9.5 to 5 years). Similar to this, Fyw almost doubled when applying high resolution data compared to weekly one. Thus, the different approaches yield similar results and strongly support each other. This indicates that weekly isotope tracer data lack information about faster water transport mechanisms in the catchment. Thus, we conclude that a higher than weekly sampling frequency should be preferred when investigating a catchment’s water transport characteristics. When comparing TTDs or Fyw of different catchments, the temporal resolution of the used datasets needs to be considered.
Identifier(s):DOI: 10.1016/j.jhydrol.2016.08.007
Citation Advice:Stockinger, M.P., Bogena, H.R., Lücke, A., Diekkrüger, B., Cornelissen, T., Vereecken, H., Tracer sampling frequency influences estimates of young water fraction and streamwater transit time distribution, Journal of Hydrology (2016), doi: http://dx.doi.org/10.1016/j.jhydrol.2016.08.007
Responsible Party
Creator(s):Author: Michael Stockinger
Author: Heye Bogena
Author: Andreas Lücke
Author: Bernd Diekkrüger
Author: Thomas Cornelissen
Author: Harry Vereecken
Publisher:Elsevier
Topic
TR32 Topic:Other
Related Sub-project(s):C1
Subject(s):CRC/TR32 Keywords: Hydrological Modelling
File Details
File Name:Stockinger2016.pdf
Data Type:Text
File Size:2924 kB (2.855 MB)
Date(s):Available: 2016-08-04
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:Free
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:Germany
Measurement Location:--Germany--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2016
Type:Article
Article Type:Journal
Source:Journal of Hydrology
Page Range:952 - 964
Metadata Details
Metadata Creator:Michael Stockinger
Metadata Created:2017-05-29
Metadata Last Updated:2017-05-29
Subproject:C1
Funding Phase:2
Metadata Language:English
Metadata Version:V41
Dataset Metrics
Page Visits:72
Metadata Downloads:0
Dataset Downloads:1
Dataset Activity
Features