Estimation of mean residence times of subsurface waters using seasonal variation in deuterium excess in a small headwater catchment in Japan

Kabeya, Naoki; Katsuyama, Masanori; Kawasaki, Masatoshi; Ohte, Nobuhito; Sugimoto, Akihiro

doi:10.1002/hyp.6231

Cited by 74 publications

(87 citation statements)

References 36 publications

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“…We estimated η values between 2.15 and 3.23, the largest values we found in related studies that used the same distribution function. Reported values are normally lower than 2 (e.g., Hrachowitz et al, 2009;Katsuyama et al, 2009;McGuire and McDonnell, 2006;Viville et al, 2006;Kabeya et al, 2006), indicating that a large portion of old water is released first to the river as depicted by the isotopic composition of the stream. On the contrary, when analyzing the behavior of water flow as derived from GM, the tracer signal's peak at the outflow occurs instantaneously, meaning that a considerable portion of the event rainfall water rapidly contributes to discharge, as for instance via lateral flow from near-surface deposits.…”

Section: Comparison Of Distribution Functionsmentioning

confidence: 99%

“…In this method, fundamental conditions are the homogeneity of the system and steady-state conditions. Although presently more complex models are being tested (e.g., models dealing with time-variable conditions: Rinaldo et al, 2011;Botter et al, 2010Botter et al, , 2011, the lumpedmodel approaches are still widely used since they provide basic inferences of the water paths and the transit times of water (e.g., Muñoz-Villers and McDonnell, 2012;Hrachowitz et al, 2009;Kabeya et al, 2006;…”

Section: Introductionmentioning

confidence: 99%

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Sampling frequency trade-offs in the assessment of mean transit times of tropical montane catchment waters under semi-steady-state conditions

Timbe

Windhorst²,

Célleri

et al. 2015

Hydrol. Earth Syst. Sci.

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Abstract. Precipitation event samples and weekly based water samples from streams and soils were collected in a tropical montane cloud forest catchment for 2 years and analyzed for stable water isotopes in order to understand the effect of sampling frequency in the performance of three lumped-parameter distribution functions (exponential-piston flow, linear-piston flow and gamma) which were used to estimate mean transit times of waters. Precipitation data, used as input function for the models, were aggregated to daily, weekly, bi-weekly, monthly and bi-monthly sampling resolutions, while analyzed frequencies for outflows went from weekly to bi-monthly. By using different scenarios involving diverse sampling frequencies, this study reveals that the effect of lowering the sampling frequency depends on the water type. For soil waters, with transit times on the order of few weeks, there was a clear trend of over predictions. In contrast, the trend for stream waters, which have a more damped isotopic signal and mean transit times on the order of 2 to 4 years, was less clear and showed a dependence on the type of model used. The trade-off to coarse data resolutions could potentially lead to misleading conclusions on how water actually moves through the catchment, notwithstanding that these predictions could reach better fitting efficiencies, fewer uncertainties, errors and biases. For both water types an optimal sampling frequency seems to be 1 or at most 2 weeks. The results of our analyses provide information for the planning of future fieldwork in similar Andean or other catchments.

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Section: Comparison Of Distribution Functionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sampling frequency trade-offs in the assessment of mean transit times of tropical montane catchment waters under semi-steady-state conditions

Timbe

Windhorst²,

Célleri

et al. 2015

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

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“…to validate hydrological models (Birkel et al, 2009;Koivusalo et al, 2000;Liebminger et al, 2007;Rodgers et al, 2005b), identify areas of groundwater recharge (Cortés et al, 1997;Gonfiantini et al, 2001;Kattan, 2006), investigate flow paths (Barthold et al, 2011;Goller et al, 2005;Rodgers et al, 2005a) or to calculate the mean transit time (MTT) of water (Garvelmann et al, 2012;Kabeya et al, 2007;McGuire et al, 2002McGuire et al, , 2005Rodgers et al, 2005b).…”

Section: Introductionmentioning

confidence: 99%

Impact of elevation and weather patterns on the isotopic composition of precipitation in a tropical montane rainforest

Windhorst¹,

Waltz²,

Timbe

et al. 2013

Hydrol. Earth Syst. Sci.

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Abstract. This study presents the spatial and temporal variability of δ 18 O and δ 2 H isotope signatures in precipitation of a south Ecuadorian montane cloud forest catchment (San Francisco catchment). From 2 September to 25 December 2010, event sampling of open rainfall was conducted along an altitudinal transect (1800 to 2800 m a.s.l.) to investigate possible effects of altitude and weather conditions on the isotope signature.The spatial variability is mainly affected by the altitude effect. The event based δ 18 O altitude effect for the study area averages −0.22 ‰ × 100 m −1 (δ 2 H: −1.12 ‰ × 100 m −1 ). The temporal variability is mostly controlled by prevailing air masses. Precipitation during the times of prevailing southeasterly trade winds is significantly enriched in heavy isotopes compared to precipitation during other weather conditions. In the study area, weather during austral winter is commonly controlled by southeasterly trade winds. Since the Amazon Basin contributes large amounts of recycled moisture to these air masses, trade wind-related precipitation is enriched in heavy isotopes. We used deuterium excess to further evaluate the contribution of recycled moisture to precipitation. Analogously to the δ 18 O and δ 2 H values, deuterium excess is significantly higher in trade wind-related precipitation. Consequently, it is assumed that evaporated moisture is responsible for high concentrations of heavy isotopes during austral winter.

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“…Environmental tracing (Kabeya et al, 2007) and artificial tracing (Mali et al, 2007) in combination with hydrological survey are the most convenient investigation methods in field conditions. The experiments vary from laboratory tests (e.g.…”

Section: Introductionmentioning

confidence: 99%

Field investigation of preferential fissure flow paths with hydrochemical analysis of small-scale sprinkling experiments

et al. 2014

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Abstract. The unsaturated zone largely controls groundwater recharge by buffering precipitation while at the same time providing preferential flow paths for infiltration. The importance of preferential flow on landslide hydrology is recognised in the literature; however, its monitoring and quantification remain difficult. This paper presents a combined hydrological and hydrochemical analysis of small-scale sprinkling experiments. It aims at showing the potential of such experiments for studying the spatial differences in dominant hydrological processes within a landslide. This methodology was tested in the highly heterogeneous black marls of the Super-Sauze landslide. The tests were performed in three areas characterised by different displacement rates, surface morphology and local hydrological conditions. Special attention was paid to testing the potential of small-scale sprinkling experiments for identifying and characterising preferential flow patterns and dominant hydrological processes.

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Estimation of mean residence times of subsurface waters using seasonal variation in deuterium excess in a small headwater catchment in Japan

Cited by 74 publications

References 36 publications

Sampling frequency trade-offs in the assessment of mean transit times of tropical montane catchment waters under semi-steady-state conditions

Sampling frequency trade-offs in the assessment of mean transit times of tropical montane catchment waters under semi-steady-state conditions

Impact of elevation and weather patterns on the isotopic composition of precipitation in a tropical montane rainforest

Field investigation of preferential fissure flow paths with hydrochemical analysis of small-scale sprinkling experiments

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