The influence of climate on water chemistry states and dynamics in rivers across Australia DOI
Anna Lintern, Shuci Liu, Camille Minaudo

et al.

Hydrological Processes, Journal Year: 2021, Volume and Issue: 35(12)

Published: Oct. 30, 2021

Abstract For effective water quality management and policy development, spatial variability in the mean concentrations dynamics of riverine needs to be understood. Using chemistry (calcium, electrical conductivity, nitrate‐nitrite, soluble reactive phosphorus, total nitrogen, phosphorus suspended solids) data for up 578 locations across Australian continent, we assessed impact climate zones (arid, Mediterranean, temperate, subtropical, tropical) on (i) inter‐annual concentration (ii) as represented by constituent export regimes (ratio coefficients variation discharge) patterns (slope concentration‐discharge relationship). We found that vary significantly generally exceeds temporal variability. However, are consistent zones. This suggests intrinsic properties individual constituents rather than catchment determine patterns. The spatially highlights potential predict which can support national development.

Language: Английский

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

Enhancing prediction and inference of daily in-stream nutrient and sediment concentrations using an extreme gradient boosting based water quality estimation tool - XGBest DOI Creative Commons
Shubham Jain, Arun Bawa,

Katie Mendoza

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 963, P. 178517 - 178517

Published: Jan. 20, 2025

Language: Английский

Citations

0

The first assessment of surface water quality in Lksob river (Essaouira, Morocco): Physico-chemical parameters and nutrients distribution DOI

E. Y.,

Zainab Damsiri,

Ait Ballagh F. E

et al.

Journal of African Earth Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 105584 - 105584

Published: Feb. 1, 2025

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 influence of climate on water chemistry states and dynamics in rivers across Australia DOI
Anna Lintern, Shuci Liu, Camille Minaudo

et al.

Hydrological Processes, Journal Year: 2021, Volume and Issue: 35(12)

Published: Oct. 30, 2021

Abstract For effective water quality management and policy development, spatial variability in the mean concentrations dynamics of riverine needs to be understood. Using chemistry (calcium, electrical conductivity, nitrate‐nitrite, soluble reactive phosphorus, total nitrogen, phosphorus suspended solids) data for up 578 locations across Australian continent, we assessed impact climate zones (arid, Mediterranean, temperate, subtropical, tropical) on (i) inter‐annual concentration (ii) as represented by constituent export regimes (ratio coefficients variation discharge) patterns (slope concentration‐discharge relationship). We found that vary significantly generally exceeds temporal variability. However, are consistent zones. This suggests intrinsic properties individual constituents rather than catchment determine patterns. The spatially highlights potential predict which can support national development.

Language: Английский

Citations

26