Spatial and seasonal variations in δ18O and δD values in the River Sava in Slovenia

Ogrinc, Nives; Kanduč, Tjaša; Stichler, Willibald; Vreča, Polona

doi:10.1016/j.jhydrol.2008.07.010

Cited by 84 publications

(53 citation statements)

References 18 publications

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“…Some previous analyses of isotopic composition of precipitation in Ljubljana have been published by KRAJCAR BRONI} et al (1998), PEZDI~ (1999, 2003, VRE~A et al (2005, 2006, 2007), and OGRINC et al (2008.…”

Section: History Of Samplingmentioning

confidence: 99%

Isotopic composition of precipitation in Ljubljana (Slovenia)

Vreča¹,

Bronić²,

Leis³

et al. 2008

Geologija

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Section: History Of Samplingmentioning

confidence: 99%

Isotopic composition of precipitation in Ljubljana (Slovenia)

Vreča¹,

Bronić²,

Leis³

et al. 2008

Geologija

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“…McDonnell et al, 1990;Kendall and McDonnell, 1998;Lambs, 2000;Gibson et al, 2005;Liu et al, 2008;Jasechko et al, 2013). Hydrological processes occurring between rainfall input and river discharge modify the stable isotopic composition of rivers and include the isotopic averaging during soil infiltration, runoff, damming (Ogrinc et al, 2008;Koeniger et al, 2009) and seasonally differential fractional inputs of water from surface and groundwater sources (Sklash, 1990;Buttle, 1994;Lambs, 2004); and heavy isotope ( 2 H, 18 O) enrichment due to the effects of watershed evapotranspiration or instream evaporation (Simpson and Herczeg, 1991;Gremillion and Wanielista, 2000;Telmer and Veizer, 2000) and isotopic fractionation of snowmelt (Taylor et al, 2002). All of these processes may result in markedly different average isotopic values in river discharge compared to precipitation, both in space and time (Dutton et al, 2005;Rock and Mayer, 2007).…”

Section: Introductionmentioning

confidence: 99%

The Global Network of Isotopes in Rivers (GNIR): integration of water isotopes in watershed observation and riverine research

Halder

Terzer

Wassenaar

et al. 2015

Hydrol. Earth Syst. Sci.

111

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Abstract. We introduce a new online global database of riverine water stable isotopes (Global Network of Isotopes in Rivers, GNIR) and evaluate its longer-term data holdings. Overall, 218 GNIR river stations were clustered into three different groups based on the seasonal variation in their isotopic composition, which was closely coupled to precipitation and snowmelt water runoff regimes. Sinusoidal fit functions revealed phases within each grouping and deviations from the sinusoidal functions revealed important river alterations or hydrological processes in these watersheds. The seasonal isotopic amplitude of δ 18 O in rivers averaged 2.5 ‰, and did not increase as a function of latitude, like it does for global precipitation. Low seasonal isotopic amplitudes in rivers suggest the prevalence of mixing and storage such as occurs via lakes, reservoirs, and groundwater. The application of a catchment-constrained regionalized cluster-based water isotope prediction model (CC-RCWIP) allowed for direct comparison between the expected isotopic compositions for the upstream catchment precipitation with the measured isotopic composition of river discharge at observation stations. The catchment-constrained model revealed a strong global isotopic correlation between average rainfall and river discharge (R 2 = 0.88) and the study demonstrated that the seasonal isotopic composition and variation of river water can be predicted. Deviations in data from model-predicted values suggest there are important natural or anthropogenic catchment processes like evaporation, damming, and water storage in the upstream catchment.

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“…This primarily reflects the significance of the annual alpine snowmelt in dominating the downstream flow regime even in a very large catchment. Similarly, Ogrinc et al (2008) found a strong mountainous headwater influence in the input-output relationships for stable isotopes at 21 nested sites in the 11 000 km 2 Sava catchment, Slovenia. Preliminary estimates of mean transit times varied between 0.5 and 2.1 years in different headwater sites, averaging to around 1.5 years at the most downstream site.…”

Section: Introductionmentioning

confidence: 75%

Evolution of the spatial and temporal characteristics of the isotope hydrology of a montane river basin

Speed

Tetzlaff

Hrachowitz

et al. 2011

Hydrological Sciences Journal

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Precipitation and streamwater were analysed weekly for δ 18 O in seven tributaries and five main stem sites of a 2100 km 2 catchment; >60% of it is upland in character. Precipitation δ 18 O followed seasonal patterns ranging from -20‰ in winter to -4‰ in summer. Seasonality was also evident in stream waters, though much more damped. Mean transit times (MTTs) were estimated using δ 18 O input-output relationships in a convolution integral with a gamma distribution. The MTTs were relatively similar (528-830 days): tributaries exhibited a greater range, being shorter in catchments with montane topography and hydrologically responsive soils, and longer where catchments have significant water storage. Along the main stem, MTTs increased modestly from 621 to 741 days. This indicates that montane headwaters are the dominant sources of runoff along the main stem of the river system. Models suggest that around 10% of runoff has transit times of less than two weeks during higher flows whilst older (>10-year old) water sustains low flows contributing around 5% of runoff.Key words isotope tracers; hydrochemistry; mesoscale catchments; transit time; scaling; distributions Evolution des caractéristiques spatiales et temporelles de l'hydrologie isotopique d'un bassin versant de montagne Résumé Les eaux de précipitation et de cours d'eau ont été analysées en termes de δ18 O chaque semaine dans sept affluents et cinq sites du cours d'eau principal d'un bassin versant de 2100 km 2 ; dont plus de 60% sont en montagne. La teneur en δ 18 O des précipitations suit des dynamiques saisonniéres, allant de -20‰ en hiver à -4‰ en été. La saisonnalité est également marquée dans les eaux de cours d'eau, bien que plus amortie. Les temps de transit moyens (TTM) ont été estimés à partir des relations entrée-sortie de δ 18 O via une intégrale de convolution avec une distribution gamma. Les TTM sont relativement semblables (528-830 jours): les affluents présentent une plus grande variabilité, avec des TTM plus courts pour les bassins à topographie montagneuse et aux sols hydrologiquement réactifs et des TTM plus longs pour les bassins à forte capacité de stockage d'eau. Le long du cours d'eau principal, les TTM augmentent modestement de 621 à 741 jours. Cela indique que les tâtes de bassin montagneuses sont les principales sources d'écoulement le long du cours principal du systéme hydrographique. Les modéles suggèrent qu'environ 10% de l'écoulement présentent des temps de transit inférieurs à deux semaines en périodes de hautes eaux, tandis que l'eau plus ancienne (âgée de plus de 10 ans) soutient les étiages, qui contribuent à 5% de l'écoulement.

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Spatial and seasonal variations in δ18O and δD values in the River Sava in Slovenia

Cited by 84 publications

References 18 publications

Isotopic composition of precipitation in Ljubljana (Slovenia)

Isotopic composition of precipitation in Ljubljana (Slovenia)

The Global Network of Isotopes in Rivers (GNIR): integration of water isotopes in watershed observation and riverine research

Evolution of the spatial and temporal characteristics of the isotope hydrology of a montane river basin

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