A Review of Suspended Sediment Hysteresis DOI Creative Commons

Tongge Jing,

Yi Zeng, Nufang Fang

et al.

Water Resources Research, Journal Year: 2024, Volume and Issue: 61(1)

Published: Dec. 31, 2024

Abstract The study of sediment‐riverflow interactions during discrete hydrological events is vital for enhancing our understanding the cycle. Hysteresis analysis, relying on high‐resolution, continuous monitoring suspended sediment concentration (SSC) and discharge (Q) data, an effective tool investigating complex events. It captures differing dynamic at same level, which results from asynchrony between hydrograph graph different phases event. However, there has been no comprehensive review systematically addressing utility significance hysteresis analysis in soil water management. This synthesizes findings over 500 global studies, providing a detailed examination current research. We trace development application hydrology, illustrating its role classifying characterizing events, as well uncovering sources transport mechanisms. Furthermore, proven identifying critical offering valuable insights targeted watershed Our spatiotemporal research shows that 70% studies are located semi‐arid Mediterranean climate zones, with increasing focus alpine tropical regions due to change. also highlights limitations, including scarcity high‐resolution inconsistent use quantitative indices, limited integration patterns into predictive approaches. Future should developing region‐specific models incorporate dynamics, along standardizing methodologies apply across diverse climatic geomorphic settings.

Language: Английский

Perspectives on total phosphorus response in rivers: Examining the influence of rainfall extremes and post-dry rainfall DOI Creative Commons
Ammanuel B. Tilahun, Hans H. Dürr,

Katrin Schweden

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 940, P. 173677 - 173677

Published: May 31, 2024

Eutrophication is a significant environmental problem caused by nutrient loads from both point and non-point sources. Weather variables, particularly precipitation, affect the concentration of nutrients in water bodies, those sources, two contrasting ways. Heavy precipitation causes surface runoff which transports pollutants to rivers increases concentration. Conversely, increased river flow can dilute concentration, lowering it. This study investigates impact extreme prolonged after dry period on total phosphorus Moehne Erft Germany, given projected increase frequency events long drought periods due climate change. The comprises parts: selecting weather days 2001 2021 comparing observed Total Phosphorus concentrations with estimated derived Generalized Additive Models linear regression based discharge-concentration relationship. Changes TP response continuous were also studied. Our results showed that during wet post-dry rainfall events, consistently surpassed expected values, underscoring profound influence intense mobilization. However, we be non-unidirectional. work distinguished three key innovations: 1) addressing limitations studying effects quality limited temporal resolution, 2) incorporating non-linear modeling approaches for relationships, 3) performing comprehensive analysis spatial patterns varying patterns.

Language: Английский

Citations

6

High-intensity rainfall following drought triggers extreme nutrient concentrations in a small agricultural catchment DOI Creative Commons
Rémi Dupas,

Mikaël Faucheux,

Tristan Senga Kiessé

et al.

Water Research, Journal Year: 2024, Volume and Issue: 264, P. 122108 - 122108

Published: July 25, 2024

The profound influence of climate change on the hydrological cycle raises concerns about its potential impacts water quality, particularly in agricultural catchments. Here, we analysed 200 storm events monitored for nitrate and total phosphorus (TP) at sub-hourly intervals from 2016 to 2023 Kervidy-Naizin catchment (north-western France). Using Extreme Value theory, identified with extreme concentrations compared their hydroclimatic characteristics those non-extreme events. We hypothesised that concentration occurred under conditions, which are projected become more frequent future. showed dilution patterns nitrate, decreasing by up 41 %, accretion TP, increasing 1400 % Hydroclimatic conditions during were characterised high rainfall intensities low antecedent discharge, but no particular mean discharge. During events, concentration-discharge relationships exhibited primarily clockwise hysteresis, whereas TP displayed an equal mix anticlockwise loops. In contrast, hysteresis weak TP. interpreted these dynamics controls as result infiltration-excess overland flow diluting nitrate-rich groundwater exporting large amounts intensive following droughts, while fluctuations riparian zone streambed remobilization control nutrient exports Given frequency intensity extremes, such retrospective analyses can provide valuable insights into future streams draining

Language: Английский

Citations

6

Seasonal Variability and Hydrological Patterns Influence the Long-Term Trends of Nutrient Loads in the River Po DOI Open Access

Edoardo Cavallini,

Pierluigi Viaroli, Mariachiara Naldi

et al.

Water, Journal Year: 2024, Volume and Issue: 16(18), P. 2628 - 2628

Published: Sept. 16, 2024

This study investigates the long-term trends (1992–2022) of nitrogen and phosphorus loadings exported by River Po to Adriatic Sea, better analyse how changes in hydrology are affecting timing magnitude river nutrient loads. We used 30 years monitoring data order (a) identify main temporal patterns their interactions at a decadal, annual seasonal scale, (b) estimate precipitation effects on load formation evaluate whether which extent hydrological regime affects export across (c) monthly scale transport dynamic N P chemical species (hydrological vs. biogeochemical control). The analysis shows general decrease both loadings, but different between elements species, as well undergoing variations. found statistically significant relationships loads, demonstrates that drive intra- interannual time scales considered this study. Precipitation-induced trigger deliveries sea, peaking spring autumn. is mainly concentrated summer dry period, while total diminishes mismatch results variable molar N:P ratios within year. extreme drought flood events, along with progressive snowmelt contribution water fluxes, expected exacerbate variability turn perturbate biodiversity, food webs trophic state Northern Sea.

Language: Английский

Citations

4

Stochastic volatility model with long memory for water quantity-quality dynamics DOI
Hidekazu Yoshioka, Yumi Yoshioka

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 195, P. 116167 - 116167

Published: March 14, 2025

Language: Английский

Citations

0

Hydrologic Regime Determines Catchment‐Scale Dissolved Carbon Export Patterns DOI Creative Commons
Xiaolu Li, Jian Wang,

Wei Yin

et al.

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

Published: March 1, 2025

Abstract Hydrologic regimes are affecting terrestrial carbon transformation, chemical weathering and lateral transport. However, its impacts on dissolved export patterns remains elusive. In this study, we collected a 2‐year high‐frequency inorganic (DIC) organic (DOC) dataset, namely wet year (Rainfall = 1,158 mm) dry 603 mm). The results showed that drought led to significant decrease in concentration discharge during the monitoring period. During non‐storm periods, DIC DOC shifted from dilution chemostatic enrichment years, respectively. were reversed storm periods. dominated by chemostatic, respectively, while both year. Structural equation models revealed aridity index temperature may affect patterns. We further classified events into three major types conceptualized catchment‐scale transport mechanisms for carbon. Dry‐AMCs result behavior, whereas Wet‐AMCs behavior due increased hydrological connectivity. third type corresponds extreme events, where larger overland flow often but behavior. These findings reveal predominant role of altering decreasing concentrations fluxes modifying

Language: Английский

Citations

0

Investigating Spatial and Temporal Nitrogen Dynamics in a Forested Headwater Stream Over the Course of an Annual Drying Event DOI Creative Commons
Kaci Zarek, C. Nathan Jones, Delaney Peterson

et al.

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

Published: March 27, 2025

Abstract Headwater streams make up nearly 80% of the stream network by length and play an important role in shaping physical, chemical, biological functions downstream waters. In Southeastern US, these systems are beginning to experience increases frequency duration drying, but it is unclear how increased drying will impact water quality. To begin address this issue, we examined nitrogen dynamics a forested headwater across annual event. The event was divided into seasonal wet (March–June), dry‐down (June–October), rewet (November–March) periods. We used combination quality sensors at watershed outlet, spatially distributed synoptic sampling net denitrification conditions physicochemical variables watershed, series potential experiments examine variation biogeochemical state At nitrate concentrations were positively correlated with watershed‐scale connectivity during period, while streamflow period. Throughout varied more seasons than space, greater Further, temperature, nitrate, ammonium inversely related streamflow. Finally, measurements confirmed period experienced highest rates. Our results highlight connection between humid systems, providing key information for developing predictive understanding streams.

Language: Английский

Citations

0

The Role of Lithology on Concentration‐Discharge Relationships and Carbon Export in Two Adjacent Headwater Catchments DOI Creative Commons

L. Giggy,

Margaret Zimmer

Water Resources Research, Journal Year: 2025, Volume and Issue: 61(4)

Published: March 29, 2025

Abstract Headwater catchments have strong impacts on downstream waterways, near‐shore ecosystems, and the quality of water available for growing human populations. Thus, understanding how solutes are exported through these upland landscapes is critically important. A body literature highlights interaction topography, climate, critical zone structure as a key control streamflow chemical export. However, more focused work needed to pinpoint variability in subsurface across lithologically complex regions signals at catchment outlets. Here, we aim better understand lithology zones modulate response solute export patterns two central coastal California headwater that similar vegetation, climate but different lithologies. We monitored collected surface samples outlets dissolved major ions organic carbon (DOC) consecutive years. The with mélange bedrock displayed much flashier hydrologic behavior 7.8 times higher peak flow values 1.9 mean event concentrations DOC, suggesting shorter shallower paths likely arise from bedrock. Despite distinct DOC export, ion were broadly chemostatic, which may be driven by rapid reactions both catchments. Our contributes building an integrated subtle differences can profound routed

Language: Английский

Citations

0

The net ecosystem carbon balance (NECB) at catchment scales in the Arctic DOI Creative Commons
Efrén López‐Blanco, Maria Väisänen, Élodie Salmon

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 7, 2025

The Net Ecosystem Carbon Balance (NECB) is a crucial metric for understanding integrated carbon dynamics in Arctic and boreal regions, which are vital to the global cycle. These areas associated with significant uncertainties rapid climate change, potentially leading unpredictable alterations dynamics. This mini-review examines key components of NECB, including sequestration, methane emissions, lateral transport, herbivore interactions, disturbances, while integrating insights from recent permafrost region greenhouse gas budget syntheses. We emphasize need holistic approach quantify incorporating all their uncertainties. review highlights methodological advances flux measurements, improvements eddy covariance automatic chamber techniques, as well progress modeling approaches data assimilation. Key research priorities identified, such improving representation inland waters process-based models, expanding monitoring networks, enhancing integration long-term field observations approaches. efforts essential accurately quantifying current future budgets rapidly changing northern landscapes, ultimately informing more effective change mitigation strategies ecosystem management practices. aligns goals Monitoring Assessment Program (AMAP) Conservation Flora Fauna (CAFF), providing important policymakers, researchers, stakeholders working understand protect these sensitive ecosystems.

Language: Английский

Citations

0

Glacier runoff impacts the stoichiometry of riverine nutrient export from coastal Alaskan catchments DOI Creative Commons
Jason B. Fellman, Eran Hood, LeeAnn Munk

et al.

Communications Earth & Environment, Journal Year: 2025, Volume and Issue: 6(1)

Published: April 25, 2025

Language: Английский

Citations

0

Stuck at Home: Machine‐Learning Models Predicting Solute Concentrations of One Stream Failed to Predict Solute Concentrations in Other Streams DOI

Hollis C. Harrington,

Mark B. Green, John L. Campbell

et al.

Hydrological Processes, Journal Year: 2025, Volume and Issue: 39(5)

Published: May 1, 2025

ABSTRACT Machine‐learning models have been surprisingly successful at predicting stream solute concentrations, even for solutes without dedicated sensors. It would be extremely valuable if these could predict concentrations in streams beyond the one which they were trained. We assessed generalisability of random forest by training them or more and testing another. Models made using grab sample sensor data from 10 New Hampshire rivers. As observed previous studies, trained capable accurately that stream. However, on produced inaccurate predictions other streams, with exception measured sensors (i.e., nitrate dissolved organic carbon). Using multiple watersheds improved model results, but performance was still worse than mean dataset (Nash–Sutcliffe Efficiency < 0). Our results demonstrate machine‐learning thus far reliably only where trained, as differences concentration patterns sensor‐solute relationships limit their broader applicability.

Language: Английский

Citations

0