Visualization of spatial patterns of connectivity and runoff ages derived from a tracer‐aided model

Huijgevoort, Marjolein van; Tetzlaff, Doerthe; Sutanudjaja, Edwin H.; Soulsby, Christopher

doi:10.1002/hyp.10961

Cited by 14 publications

(17 citation statements)

References 12 publications

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“…The key advancements were the fully distributed (spatially) and parsimonious nature of the model. This is a major step forward in tracer-aided hydrologic modeling (Birkel & Soulsby, 2015;Capell, Tetzlaff, & Soulsby, 2012;Delavau, Stadnyk, & Holmes, 2017;McMillan, Tetzlaff, Clark, & Soulsby, 2012;Regan, Goodhue, Naughton, & Hynds, 2017;Stadnyk, Delavau, Kouwen, & Edwards, 2013;Tetzlaff et al, 2015;Tunaley, Tetzlaff, Birkel, & Soulsby, 2017;van Huijgevoort, Tetzlaff, Sutanudjaja, & Soulsby, 2016a;van Huijgevoort, Tetzlaff, Sutanudjaja, & Soulsby, 2016b).…”

Section: Modeling Snowpack Isotope Fractionation and Isotope Ratios Imentioning

confidence: 99%

Understanding snow hydrological processes through the lens of stable water isotopes

et al. 2018

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Snowfall may have different stable isotopic compositions compared with rainfall, allowing its contribution to potentially be tracked through the hydrological cycle. This review summarizes the state of knowledge of how different hydrometeorological processes affect the isotopic composition of snow in its different forms (snowfall, snowpack, and snowmelt), and, through selected examples, discusses how stable water isotopes can provide a better understanding of snow hydrological processes. A detailed account is given of how the variability in isotopic composition of snow changes from precipitation to final melting. The effect of different snow ablation processes (sublimation, melting, and redistribution by wind or avalanches) on the isotope ratios of the underlying snowpack are also examined. Insights into the role of canopy in snow interception processes, and how the isotopic composition in canopy underlying snowpacks can elucidate the exchanges therein are discussed, as well as case studies demonstrating the usefulness of stable water isotopes to estimate seasonality in the groundwater recharge. Rain-on-snow floods illustrate how isotopes can be useful to estimate the role of preferential flow during heavy spring rains. All these examples point to the complexity of snow hydrologic processes and demonstrate that an isotopic approach is useful to quantify snow contributions throughout the water cycle, especially in high-elevation and highlatitude catchments, where such processes are most pronounced. This synthesis concludes by tracing a snow particle along its entire hydrologic life cycle, highlights the major practical challenges remaining in snow hydrology and discusses future research directions.

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Section: Modeling Snowpack Isotope Fractionation and Isotope Ratios Imentioning

confidence: 99%

Understanding snow hydrological processes through the lens of stable water isotopes

et al. 2018

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“…Runoff fluxes from all cells are routed through the catchment to simulate the stream hydrograph and isotopic concentration. The approach allows presentation of transient water fluxes, storages, and water ages in a spatially explicit way in the landscape (for a visualization, see Huijgevoort et al, 2016b). The STARR model is built with a modular structure in the PCRASTER PYTHON framework (Karssenberg et al, 2010).…”

Section: Starr Model Setupmentioning

confidence: 99%

Using isotopes to constrain water flux and age estimates in snow-influenced catchments using the STARR (Spatially distributed Tracer-Aided Rainfall–Runoff) model

Ala‐aho

Tetzlaff

McNamara

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Tracer-aided hydrological models are increasingly used to reveal fundamentals of runoff generation processes and water travel times in catchments. Modelling studies integrating stable water isotopes as tracers are mostly based in temperate and warm climates, leaving catchments with strong snow influences underrepresented in the literature. Such catchments are challenging, as the isotopic tracer signals in water entering the catchments as snowmelt are typically distorted from incoming precipitation due to fractionation processes in seasonal snowpack.We used the Spatially distributed Tracer-Aided RainfallRunoff (STARR) model to simulate fluxes, storage, and mixing of water and tracers, as well as estimating water ages in three long-term experimental catchments with varying degrees of snow influence and contrasting landscape characteristics. In the context of northern catchments the sites have exceptionally long and rich data sets of hydrometric data and -most importantly -stable water isotopes for both rain and snow conditions. To adapt the STARR model for sites with strong snow influence, we used a novel parsimonious calculation scheme that takes into account the isotopic fractionation through snow sublimation and snowmelt.The modified STARR setup simulated the streamflows, isotope ratios, and snow pack dynamics quite well in all three catchments. From this, our simulations indicated contrasting median water ages and water age distributions between catchments brought about mainly by differences in topography and soil characteristics. However, the variable degree of snow influence in catchments also had a major influence on the stream hydrograph, storage dynamics, and water age distributions, which was captured by the model. Our study suggested that snow sublimation fractionation processes can be important to include in tracer-aided modelling for catchments with seasonal snowpack, while the influence of fractionation during snowmelt could not be unequivocally shown. Our work showed the utility of isotopes to provide a proof of concept for our modelling framework in snowinfluenced catchments.

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“…This paper aims to compile, integrate, and process hydrometric and isotopic data from this small (3.2 km 2 ) humid tropical San Lorencito catchment, located inside the ReBAMB, to serve as input for a spatially distributed tracer‐aided rainfall–runoff model (STARR; van Huijgevoort, Tetzlaff, Sutanudjaja, & Soulsby, , ). The model will be adapted according to the existing preliminary perception of the catchments hydrological functioning for this tropical environment and used to gain insights into how water is potentially transported, stored, and mixed.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, a spatially distributed approach, in contrast to lumped models, accounting for the dense vegetation that partitions and redistributes water in terms of interception, throughfall, and evapotranspiration is deemed essential for assessing hydrological dynamics in this area (Kumagai, Kanamori, & Chappell, 2016). This paper aims to compile, integrate, and process hydrometric and isotopic data from this small (3.2 km 2 ) humid tropical San Lorencito catchment, located inside the ReBAMB, to serve as input for a spatially distributed tracer-aided rainfall-runoff model (STARR; van Huijgevoort, Tetzlaff, Sutanudjaja, & Soulsby, 2016a, 2016b.…”

Section: Introductionmentioning

confidence: 99%

“…Adapting the STARR model to the humid tropicsAn objective of this project was to explore the implementation of the STARR model as developed byvan Huijgevoort et al (2016avan Huijgevoort et al ( , 2016b for application to a humid tropical catchment. To comply with the general conditions of such a catchment (e.g., densely vegetated, steep slopes) and the proposed model resolution (10 × 10 m grid cells and hourly time steps), the model required several modifications.…”

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confidence: 99%

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Spatially distributed tracer‐aided modelling to explore water and isotope transport, storage and mixing in a pristine, humid tropical catchment

Dehaspe

Birkel

Tetzlaff

et al. 2018

Hydrological Processes

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Rapidly transforming headwater catchments in the humid tropics provide important resources for drinking water, irrigation, hydropower, and ecosystem connectivity. However, such resources for downstream use remain unstudied. To improve understanding of the behaviour and influence of pristine rainforests on water and tracer fluxes, we adapted the relatively parsimonious, spatially distributed tracer‐aided rainfall–runoff (STARR) model using event‐based stable isotope data for the 3.2‐km2 San Lorencito catchment in Costa Rica. STARR was used to simulate rainforest interception of water and stable isotopes, which showed a significant isotopic enrichment in throughfall compared with gross rainfall. Acceptable concurrent simulations of discharge (Kling–Gupta efficiency [KGE] ~0.8) and stable isotopes in stream water (KGE ~0.6) at high spatial (10 m) and temporal (hourly) resolution indicated a rapidly responding system. Around 90% of average annual streamflow (2,099 mm) was composed of quick, near‐surface runoff components, whereas only ~10% originated from groundwater in deeper layers. Simulated actual evapotranspiration (ET) from interception and soil storage were low (~420 mm/year) due to high relative humidity (average 96%) and cloud cover limiting radiation inputs. Modelling suggested a highly variable groundwater storage (~10 to 500 mm) in this steep, fractured volcanic catchment that sustains dry season baseflows. This groundwater is concentrated in riparian areas as an alluvial–colluvial aquifer connected to the stream. This was supported by rainfall–runoff isotope simulations, showing a “flashy” stream response to rainfall with only a moderate damping effect and a constant isotope signature from deeper groundwater (~400‐mm additional mixing volume) during baseflow. The work serves as a first attempt to apply a spatially distributed tracer‐aided model to a tropical rainforest environment exploring the hydrological functioning of a steep, fractured‐volcanic catchment. We also highlight limitations and propose a roadmap for future data collection and spatially distributed tracer‐aided model development in tropical headwater catchments.

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Visualization of spatial patterns of connectivity and runoff ages derived from a tracer‐aided model

Cited by 14 publications

References 12 publications

Understanding snow hydrological processes through the lens of stable water isotopes

Understanding snow hydrological processes through the lens of stable water isotopes

Using isotopes to constrain water flux and age estimates in snow-influenced catchments using the STARR (Spatially distributed Tracer-Aided Rainfall–Runoff) model

Spatially distributed tracer‐aided modelling to explore water and isotope transport, storage and mixing in a pristine, humid tropical catchment

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