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

Carles Cayuela (Corresponding Author), Jerome Latron, Josie Geris, Pilar Llorens

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The isotopic composition of precipitation (D and 18O) has been widely used as an input signal in water tracer studies. Whereas much recent effort has been put into developing methodologies to improve our understanding and modelling of hydrological processes (e.g. transit‐time distributions or young water fractions), less attention has been paid to the spatio‐temporal variability of the isotopic composition of precipitation, used as input signal in these studies. Here, we investigated the uncertainty in isotope‐based hydrograph separation (IHS) due to the spatio‐temporal variability of the isotopic composition of precipitation. The study was carried out in a Mediterranean headwater catchment (0.56 km2). Rainfall and throughfall samples were collected at three locations across this relatively small catchment and stream water samples were collected at the outlet. Results showed that throughout an event, the spatial variability of the input signal had a higher impact on hydrograph separation results than its temporal variability. However, differences in IHS determined pre‐event water due to the spatio‐temporal variability were different between events and ranged between 1 and 14%. Based on catchment‐scale isoscapes, the most representative sampling location could also be identified. This study confirms that even in small headwater catchments, spatio‐temporal variability can be significant. Therefore, it is important to characterise this variability and identify the best sampling strategy to reduce the uncertainty in our understanding of catchment hydrological processes.
Original languageEnglish
Pages (from-to)36-46
Number of pages11
JournalHydrological Processes
Volume33
Early online date8 Nov 2018
DOIs
Publication statusPublished - 1 Jan 2019

Fingerprint

forested catchment
hydrograph
catchment
isotopic composition
headwater
water
throughfall
sampling
tracer
rainfall
methodology
modeling

Keywords

  • stable water isotopes
  • catchment input signal
  • spatio-temporal variability
  • isotope hydrograph separation
  • uncertainty
  • vallcebre research catchments
  • Vallcebre research catchments

ASJC Scopus subject areas

  • Water Science and Technology

Cite this

Spatio‐temporal variability of the isotopic input signal in a partly forested catchment : Implications for hydrograph separation. / Cayuela, Carles (Corresponding Author); Latron, Jerome; Geris, Josie; Llorens, Pilar.

In: Hydrological Processes, Vol. 33, 01.01.2019, p. 36-46.

Research output: Contribution to journalArticle

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abstract = "The isotopic composition of precipitation (D and 18O) has been widely used as an input signal in water tracer studies. Whereas much recent effort has been put into developing methodologies to improve our understanding and modelling of hydrological processes (e.g. transit‐time distributions or young water fractions), less attention has been paid to the spatio‐temporal variability of the isotopic composition of precipitation, used as input signal in these studies. Here, we investigated the uncertainty in isotope‐based hydrograph separation (IHS) due to the spatio‐temporal variability of the isotopic composition of precipitation. The study was carried out in a Mediterranean headwater catchment (0.56 km2). Rainfall and throughfall samples were collected at three locations across this relatively small catchment and stream water samples were collected at the outlet. Results showed that throughout an event, the spatial variability of the input signal had a higher impact on hydrograph separation results than its temporal variability. However, differences in IHS determined pre‐event water due to the spatio‐temporal variability were different between events and ranged between 1 and 14{\%}. Based on catchment‐scale isoscapes, the most representative sampling location could also be identified. This study confirms that even in small headwater catchments, spatio‐temporal variability can be significant. Therefore, it is important to characterise this variability and identify the best sampling strategy to reduce the uncertainty in our understanding of catchment hydrological processes.",
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note = "This research was supported by the projects TransHyMed (CGL2016-75957-R AEI/FEDER, UE) and MASCC-DYNAMITE (PCIN-2017-061/AEI). C. Cayuela was beneficiary of a predoctoral FPI grant (BES-2014-070609) and a pre-doctoral mobility grant (EEBB-I-17-12493). We are grateful to G. Bertran, F. Gallart, A.J. Molina, M. Moreno de las Heras and E. S{\'a}nchez-Costa for their support during fieldwork and data analysis. We also thank all the members of the Northern Rivers Institute where part of this study was conceived. Finally, we want to thank M. Eaude for reviewing the English.",
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