Journal of Hydrology, Год журнала: 2024, Номер 645, С. 132134 - 132134
Опубликована: Окт. 10, 2024
Язык: Английский
Hydrological Processes, Год журнала: 2024, Номер 38(2)
Опубликована: Фев. 1, 2024
Abstract Realistic projections of the future climate and how this translates to water availability is crucial for sustainable resource management. However, data constrains capacity simulate streamflow corresponding hydrological processes. Developing more robust models methods that can circumvent need large amounts hydro‐climatic support water‐related decisions, particularly in developing countries. In study, we use natural isotope tracers addition hydro‐climate within a newly developed version spatially‐distributed J2000iso as an isotope‐enabled rainfall‐runoff model simulating both stable (δ 2 H) fluxes. We pilot humid tropical San Carlos catchment (2500 km ) northeastern Costa Rica, which has limited time series, but spatially distributed data. The added benefit isotopes was assessed by comparing different observation using three calibration strategies (i) gauges, (ii) gauges with stream (iii) only. achieved Kling–Gupta efficiency (KGE) 0.55–0.70 across all differences process simulations emerged when including calibration. Hydrological simulation varied between standard J2000 high simulated surface runoff proportion 37% opposed 84%–89% baseflow or interflow. solutions used only exhibited interflow, performance captured bulk balances reasonable match observed hydrographs. conclude shown potential balance modelling ungauged catchments isotope, satellite global reanalysis sets.
Язык: Английский
Процитировано
8
Journal of Environmental Management, Год журнала: 2024, Номер 358, С. 120879 - 120879
Опубликована: Апрель 25, 2024
Язык: Английский
Процитировано
7
Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 132839 - 132839
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
1
Agricultural and Forest Meteorology, Год журнала: 2025, Номер 365, С. 110467 - 110467
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0
Wiley Interdisciplinary Reviews Water, Год журнала: 2025, Номер 12(2)
Опубликована: Март 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.
Язык: Английский
Процитировано
0
Hydrological Processes, Год журнала: 2023, Номер 37(11)
Опубликована: Окт. 31, 2023
Abstract Tracer‐aided rainfall‐runoff modelling is a promising tool for understanding catchment hydrology, particularly when tracers provide information about coupled hydrological‐biogeochemical processes. Such models allow predicting the quality and quantity of water under changing climatic anthropogenic conditions. Here, we present Spatially‐distributed Tracer‐Aided Rainfall‐Runoff model with biogeochemical reactive tracer module (STARR‐DOC) to simulate dissolved organic carbon (DOC) dynamics sources. The STARR‐DOC was developed tested humid high Andean ecosystem (páramo) using high‐resolution hourly DOC hydrometeorological data discharge at fine spatial (10 × 10 m) resolution. Overall, able acceptably reproduce (KGE ~ 0.45) stream 0.69) dynamics. Spatially distributed simulations were independently compared point measurements different soil types across catchment, which allowed identifying production hot spots moments. Results showed higher hydrological connectivity between slopes valleys increasing precipitation. Wetter conditions also favoured (wet month = 82 mg L −1 , dry 5 ) transport network (DOC concentrations: during events ~15 baseflows ~4 ). Our results suggest that minor changes in meteorological directly affect páramo biogeochemistry. Knowledge where mountain catchments greatest important managers understand they make decisions security, especially considering climate change predictions region.
Язык: Английский
Процитировано
5
Water Resources Research, Год журнала: 2024, Номер 60(6)
Опубликована: Июнь 1, 2024
Abstract Understanding the hydrological processes on Tibetan Plateau (TP) under climate change is an important scientific question. The frequent multiphase transfer exacerbates complexity of TP, which brings equifinality problem to models and causes large uncertainties in quantifying contributions runoff components. Tracer‐aided are helpful for improving model performances have been adopted cryospheric regions, but influence frozen soil has yet be considered. This study Tsinghua Representative Elementary Watershed (THREW‐T) a typical cold basin with widespread TP. structure was diagnosed isotope by identifying influences soil. A simplified catchment‐scale module incorporated into model. Results showed that: (a) THREW‐T cannot simultaneously simulate baseflow stream water well. imbalance simulations two objectives could attributed soil, resulting seasonal variation soil‐related parameters, not considered (b) Incorporating significantly improved balance simulation, producing low high contribution subsurface during wet seasons. (c) had little annual streamflow, changed seasonality reducing dry seasons increasing still simplified, further work needed improve physical representation freeze‐thaw process. highlights value tracer‐aided modeling method diagnosing specific such as
Язык: Английский
Процитировано
1
Hydrological Processes, Год журнала: 2024, Номер 38(8)
Опубликована: Авг. 1, 2024
Abstract Evapotranspiration (ET) stands as a pivotal element in the terrestrial‐atmospheric energy interchange, modulated by complex array of factors including land use dynamics and climate change. The elucidation regional temporal patterns, alongside mechanisms underpinning ET its components, amidst environmental shifts, has emerged focal point contemporary hydrological discourse. Han River catchment, under influence subtropical monsoon, presents an exemplary case study for inquiry due to distinct catchment characteristics. This research probes evolution influencing within from 2000 2018, employing improved Shuttleworth–Wallace model (i.e., SWH model), multivariate statistical techniques additional methodologies. Findings reveal that (1) annual mean ET, evaporation (E) vegetation transpiration (T) 2018 were quantified at 1156.77, 784.21 372.56 mm, respectively. overall spatial pattern showed gradual decrease Chaoshan Plain area identified having higher values compared other regions, which may be attributed weakened cooling effect indirect heat island brought about construction expansion. (2) significant E optimization growth conditions resulting more solar radiation intercepted canopy. (3) Climatic alterations exerted notable on T than changes. Temperature, Normalized Difference Vegetation Index (NDVI), net wind speed most consequential affecting ET. lays scientific groundwork subsequent exploration into spatio‐temporal evapotranspiration elements contributing broader understanding cycling.
Язык: Английский
Процитировано
1
Hydrological Processes, Год журнала: 2024, Номер 38(9)
Опубликована: Сен. 1, 2024
Abstract Isotope‐enabled models provide a means to generate robust hydrological simulations. However, daily isotope‐enabled rainfall‐runoff applied larger spatial scales (>100 km 2 ) require more input data than conventional non‐isotope in the form of precipitation isotope time series, which are difficult even with point station measurements. Spatially distributed can be circumvented by climate models. Here, we evaluate simulations J2000‐isotope enabled model driven from corrected and un‐corrected global regional (isotope‐enabled spectral [IsoGSM] [IsoRSM], respectively) compared 1 year measured reference yearly average for pilot site, data‐scarce sub‐humid Eerste River catchment South Africa. The all products performed well upstream downstream discharge gauges Nash Sutcliffe efficiency (NSE) 0.58 0.85 LogNSE 0.66 0.93. simulated δ H stream isotopes using J2000‐iso J2000‐isoRSM were good main river Kling Gupta (KGE) between 0.4–0.9 top 100 Monte Carlo varying around 5‰ H. For smaller tributaries was unable capture due biased inputs. Adjusting bias IsoRSM improved groundwater simulation outperformed an input. Differences processes only evident when evaluating percolation unrealistic standard J2000 model. While is computationally intensive its counterpart, it provided better improvements percolation. Our results indicate that useful scarce regions models, where water management address change impacts needed.
Язык: Английский
Процитировано
1
Journal of Hydrology, Год журнала: 2024, Номер 645, С. 132134 - 132134
Опубликована: Окт. 10, 2024
Язык: Английский
Процитировано
0