On the scaling of river network biogeochemical function DOI Creative Commons
Enrico Bertuzzo

Ecohydrology, Journal Year: 2024, Volume and Issue: unknown

Published: July 23, 2024

Abstract River networks play a fundamental biogeochemical role in the Earth system by transporting and processing materials from terrestrial to ocean ecosystems. The cumulative function of watershed area can broadly be referred as total rate material performed its river network. An important recent research, conducted through network simulations, has revealed that rivers scale superlinearly with under certain scenarios. This finding significant implications for regional global cycles. Here, we demonstrate how such scaling derived analytically combining power law distribution drainage area, universal fractal signature channel hydraulic geometry, utilising theory finite‐size scaling. results enable discrimination between linear superlinear behaviours, well calculation exact exponent based on parameters define width change area. Furthermore, investigate difference region drained multiple networks, emphasising upscaling efforts.

Language: Английский

Quantification of Carbopeaking and CO2 ${\text{CO}}_{2}$ Fluxes in a Regulated Alpine River DOI Creative Commons
Giulio Dolcetti, Sebastiano Piccolroaz, Maria Cristina Bruno

et al.

Water Resources Research, Journal Year: 2025, Volume and Issue: 61(2)

Published: Feb. 1, 2025

Abstract Carbon dioxide () fluxes in regulated Alpine rivers are driven by multiple biogeochemical and anthropogenic processes, acting on different spatiotemporal scales. We quantified the relative importance of these drivers their effects dynamics concentration atmospheric exchange a representative river segment cascading hydropower system with diversion, which includes two residual flow reaches reach subject to hydropeaking. combined instantaneous time‐resolved water chemistry hydraulic measurements at times year, main calibrating one‐dimensional transport‐reaction model measured data. As novelty compared previous inverse modeling applications, also included carbonate buffering, contributed significantly budget case study. The distribution depended operations. Along reaches, were directly affected upstream dams only first 2.5 km, where supply supersaturated from reservoirs was predominant. Downstream diversion outlets, dominated systematic sub‐daily fluctuations transport evasion (“carbopeaking”) Hydropower operational patterns regulation approaches affect response across temporal Our findings highlight considering all scales variations for accurate quantification understanding impacts, clarify role natural global carbon cycling.

Language: Английский

Citations

0

Water Transit Time Explains the Concentration, Quality and Reactivity of Dissolved Organic Carbon in an Alpine Stream DOI Creative Commons
Giulia Grandi, Núria Catalán, Susana Bernal

et al.

Water Resources Research, Journal Year: 2025, Volume and Issue: 61(3)

Published: March 1, 2025

Abstract The amount and quality of dissolved organic carbon (DOC) exported from terrestrial to riverine ecosystems are critical factors influencing aquatic metabolism ecosystem health in streams, rivers, lakes. This study investigates the interplay between hydrologic conditions DOC dynamics an alpine catchment, focusing on how concentration shift during baseflow, snowmelt, storm events. Such were explored Oberer Seebach basin (Austria) where sub‐daily data, along with high resolution excitation‐emission matrices absorbance spectra, used characterize quality. We quantitatively linked pathways by advancing a framework that couples water age, which tracks time spends within Reactivity Continuum model, quantifies evolution reactivity ensuing concentration. Results show simulating both age effectively reproduces concentrations reveals correlation modeled observed indices. During snowmelt events, rapid transport reactive profile similar freshly formed DOC, while slower carry less signature preceding degradation processes. These findings shed light role catchment hydrology cycling its implications for functioning.

Language: Английский

Citations

0

A Coupled O2‐CO2 Model for Joint Estimation of Stream Metabolism, O‐C Stoichiometry, and Inorganic Carbon Fluxes DOI Creative Commons
Jacob S. Diamond, Enrico Bertuzzo

Journal of Geophysical Research Biogeosciences, Journal Year: 2025, Volume and Issue: 130(4)

Published: April 1, 2025

Abstract We determine where stream carbon dioxide () comes from by developing a model for the joint estimation of metabolism, oxygen‐carbon (O‐C) stoichiometry, and fluxes dissolved inorganic (DIC), based on observations oxygen concentrations. The is reach mass balance , DIC, total alkalinity, it accounts carbonate system contribution lateral flow. balances are coupled through stoichiometric coefficients photosynthesis combined autotrophic heterotrophic respiration. Under assumption constant alkalinity circumneutral pH, simplifies includes 8 parameters, which estimated Bayesian hierarchical framework. accurately reproduced time series three diverse sites across size chemistry gradients. Results allow partitioning DIC budget, thus source outgassing, into internal (in‐stream net ecosystem production) external (lateral input terrestrial atmospheric input) contributions. observed that were typically different 1—contrary to typical assumptions—leading divergent estimates sources depending measurement (i.e., vs. C). Parameter posterior distributions revealed parameter uncertainty equifinality some processes in reproducing dynamics, suggesting targeted variables further investigate order better constrain C balance. proposed useful tool incorporating rapidly growing data sets our understanding terrestrial‐aquatic linkages.

Language: Английский

Citations

0

Investigating the Impacts of Seasonal Temperature Variations on the Hysteresis Response of Groundwater in the Aquitard in a Plain Reservoir area DOI
Kehan Miao, Yong Huang, Zhi Dou

et al.

Water Resources Management, Journal Year: 2024, Volume and Issue: 38(9), P. 3389 - 3412

Published: March 20, 2024

Language: Английский

Citations

2

Phenology of gross primary productivity in rivers displays high variability within years but stability across years DOI Creative Commons
Nicholas S. Marzolf, Michael Vlah, Heili Lowman

et al.

Limnology and Oceanography Letters, Journal Year: 2024, Volume and Issue: 9(5), P. 524 - 531

Published: Aug. 8, 2024

Abstract Modeling and sensor innovations in the last decade have enabled routine continuous estimation of daily gross primary productivity (GPP) for rivers. Here, we generate evaluate within across year variability 59 US rivers which compiled a 14‐yr time series GPP estimates. River varied widely (median annual 462 g C m −2 yr −1 , range 19–3445 ) (CV GPP‐Inter 5.7–37.3%). Within this dataset, found that five become consistently more productive over time, while 11 less productive. Furthermore, trends ecosystem phenology were identified, where cumulative was reached earlier ( n = 3) later 13) 25 th 50 75 95 percentiles. Understanding drivers will elucidate patterns river food webs functional role biogeochemistry.

Language: Английский

Citations

2

Technical note: Seamless extraction and analysis of river networks in R DOI Creative Commons
Luca Carraro

Hydrology and earth system sciences, Journal Year: 2023, Volume and Issue: 27(20), P. 3733 - 3742

Published: Oct. 23, 2023

Abstract. Spatially explicit mathematical models are key to a mechanistic understanding of environmental processes in rivers. Such necessitate extended information on networks' morphology, which is often retrieved from geographic system (GIS) software, thus hindering the establishment replicable script-based workflows. Here I present rivnet, an R package for GIS-free extraction and analysis river networks based digital elevation (DEMs). The exploits TauDEM's flow direction algorithm user-provided or online accessible DEMs, allows computing covariate values assigning hydraulic variables across any network node. designed so as require minimal user input while allowing customization experienced users. It specifically intended application ecohydrological, ecological biogeochemical As such, rivnet aims make users unfamiliar with GIS-based geomorphological methods therefore enhance use spatially

Language: Английский

Citations

5

A global dataset of carbon pumping by the world’s largest tropical rivers DOI Creative Commons
Luca Salerno, Fabio Giulio Tonolo, Carlo Camporeale

et al.

Scientific Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: April 13, 2024

Abstract The eco-morphodynamic activity of large tropical rivers interacts with riparian vegetation causing implications for the carbon cycle within inland waters. Through a multi-temporal analysis satellite data spanning years 2000–2019, we analyzed exceeding 200 m in width across regions, revealing Carbon Pump mechanism driving an annual mobilization 12.45 million tons organic carbon. study identifies fluvial eco-morphological signatures as proxies mobilization, emphasizing link between river migration and dynamics. To enhance accessibility, our results are encapsulated visually compelling WebGIS application, offering comprehensive understanding eco-geomorphological influences on global rivers. Our findings instrumental determining intensity future hydropower dams, thereby contributing to informed decision-making realm sustainable energy infrastructure. This elucidates intricate relationships that govern nexus dynamics, ecosystems, cycle.

Language: Английский

Citations

1

Toward Modeling Continental‐Scale Inland Water Carbon Dioxide Emissions DOI Creative Commons
Brian Saccardi, Craig Brinkerhoff, Colin J. Gleason

et al.

AGU Advances, Journal Year: 2024, Volume and Issue: 5(6)

Published: Nov. 4, 2024

Abstract Inland waters emit significant amounts of carbon dioxide (CO 2 ) to the atmosphere; however, global magnitude and source distribution inland water CO emissions remain uncertain. These fluxes have previously been “statistically upscaled” by independently estimating dissolved concentrations gas exchange velocities calculate fluxes. This scaling, while robust defensible, has known limitations in representing spatial variability. Here, we develop calibrate a transport model for continental United States, simulating transformation >22 million hydraulically connected rivers, lakes, reservoirs. We estimate 25% lower compared upscaling estimates forced same observational calibration data. While precise are limited resolution parameterizations, our suggests that stream corridor production dominates over groundwater inputs at scale. Our results further suggest lack networks scalable metabolic models aquatic most salient barriers coupling with other Earth system components.

Language: Английский

Citations

1

Integrating sensor data and machine learning to advance the science and management of river carbon emissions DOI Creative Commons
Lee E. Brown, Taylor Maavara, Jiangwei Zhang

et al.

Critical Reviews in Environmental Science and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 24

Published: Nov. 24, 2024

Language: Английский

Citations

1

Hydrological connectivity drives intra- and inter-annual variation in water quality in an intermittent stream network in a mixed land use catchment under drought DOI Creative Commons
Famin Wang, Doerthe Tetzlaff, Tobias Goldhammer

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 648, P. 132420 - 132420

Published: Nov. 26, 2024

Language: Английский

Citations

1