Journal of Hydrology, Journal Year: 2024, Volume and Issue: 640, P. 131740 - 131740
Published: July 31, 2024
Language: Английский
Journal of Hydrology, Journal Year: 2024, Volume and Issue: 640, P. 131740 - 131740
Published: July 31, 2024
Language: Английский
Wiley Interdisciplinary Reviews Water, Journal Year: 2025, Volume and Issue: 12(2)
Published: March 1, 2025
ABSTRACT During the last decade, tracer‐aided hydrological models (TAMs) have been applied in numerous studies and successfully evolved for different purposes. Such confirmed value of tracer data modeling, offering insights into internal storages, water sources, flow pathways, mixing processes, ages, which cannot be derived from hydrometric alone. The direct coupling tracers flux tracking balance can reduce model uncertainty through increased biogeochemical process knowledge. More specifically, such simultaneously capture celerity responses with velocities (and age) particles. As a result availability high‐resolution characterizing functioning across Critical Zone entire landscapes, together rapid improvement computing capacity, four major advances reshaped capability TAMs, we review this paper: (1) enhanced representation spatial heterogeneity, (2) more explicit conceptualization ecohydrological partitioning, (3) application to larger catchment scales, (4) incorporation non‐conservative coupled quality modeling. However, persistent challenges also emerged, particularly relation acquisition, mismatches between information content scale application, uncertainties structures, as well adaptation multi‐criteria calibration. In review, recent remaining TAMs summarized discussed particular focus on conservative models.
Language: Английский
Citations
0Geoderma, Journal Year: 2025, Volume and Issue: 458, P. 117297 - 117297
Published: April 25, 2025
Language: Английский
Citations
0Journal of Advances in Modeling Earth Systems, Journal Year: 2024, Volume and Issue: 16(12)
Published: Nov. 30, 2024
Abstract Reactive Transport Models (RTMs) are essential tools for understanding and predicting intertwined ecohydrological biogeochemical processes on land in rivers. While traditional RTMs have focused primarily subsurface processes, recent watershed‐scale integrated interactions between surface subsurface. These emergent, often spatially explicit require extensive data, computational power, expertise. There is however a pressing need to create parsimonious models that minimal data accessible scientists with limited background. To end, we developed BioRT‐HBV 1.0, watershed‐scale, hydro‐biogeochemical RTM builds upon the widely used, bucket‐type HBV model known its simplicity requirements. uses conceptual structure hydrology output of simulate including advective solute transport reactions depend reaction thermodynamics kinetics. include, example, chemical weathering, soil respiration, nutrient transformation. The time series weather (air temperature, precipitation, potential evapotranspiration) initial conditions water, soils, rocks as input, times rates concentrations waters This paper presents governing equations demonstrates utility examples simulating carbon nitrogen headwater catchment. As shown examples, can be used illuminate dynamics invisible, arduous‐to‐measure subsurface, their influence observed stream or river chemistry export. With easy‐to‐use graphical user interface, useful research tool users without in‐depth training. It additionally serve an educational promotes pollination ideas across disciplines foster diverse, equal, inclusive community.
Language: Английский
Citations
3Water Resources Research, Journal Year: 2024, Volume and Issue: 60(7)
Published: July 1, 2024
Abstract Terrestrial production and export of dissolved organic inorganic carbon (DOC DIC) to streams depends on water flow biogeochemical processes in beneath soils. Yet, understanding these a rapidly changing climate is limited. Using the watershed‐scale reactive‐transport model BioRT‐HBV stream data from snow‐dominated catchment Rockies, we show deeper groundwater averaged about 20% annual discharge, rising ∼35% drier years. DOC DIC peaked during snowmelt wet years, driven more by hydrology than temperature. was primarily produced shallow soils (1.94 ± 1.45 gC/m 2 /year), stored via sorption, flushed out snowmelt. Some recharged further consumed subsurface respiration (−0.27 0.02 therefore reducing concentrations at low discharge. Consequently, exported zone (1.62 0.96 /year, compared 0.12 /year zone). both zones but higher rates (1.34 1.00 /year) deep (0.36 /year). Deep elevated In other words, responsible for commonly‐observed increasing (flushing) decreasing (dilution) with ~66% can drop ∼53% Numerical experiments suggest lower warmer, future, proportion processes. These results underscore often‐overlooked growing importance warming climate.
Language: Английский
Citations
2Journal of Hydrology, Journal Year: 2024, Volume and Issue: 640, P. 131740 - 131740
Published: July 31, 2024
Language: Английский
Citations
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