Articles | Volume 26, issue 22
https://doi.org/10.5194/hess-26-5817-2022
https://doi.org/10.5194/hess-26-5817-2022
Research article
 | 
17 Nov 2022
Research article |  | 17 Nov 2022

How do inorganic nitrogen processing pathways change quantitatively at daily, seasonal, and multiannual scales in a large agricultural stream?

Jingshui Huang, Dietrich Borchardt, and Michael Rode

Related authors

Changes in water quality and ecosystem processes at extreme summer low flow of 2018 with high-frequency sensors
Jingshui Huang, Dietrich Borchardt, and Michael Rode
EGUsphere, https://doi.org/10.5194/egusphere-2025-656,https://doi.org/10.5194/egusphere-2025-656, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
Short summary
Merits and Limits of SWAT-GL: Application in Contrasting Glaciated Catchments
Timo Schaffhauser, Florentin Hofmeister, Gabriele Chiogna, Fabian Merk, Ye Tuo, Julian Machnitzke, Lucas Alcamo, Jingshui Huang, and Markus Disse
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-89,https://doi.org/10.5194/hess-2024-89, 2024
Preprint under review for HESS
Short summary
Drought cascades across multiple systems in Central Asia identified based on the dynamic space–time motion approach
Lu Tian, Markus Disse, and Jingshui Huang
Hydrol. Earth Syst. Sci., 27, 4115–4133, https://doi.org/10.5194/hess-27-4115-2023,https://doi.org/10.5194/hess-27-4115-2023, 2023
Short summary

Related subject area

Subject: Rivers and Lakes | Techniques and Approaches: Modelling approaches
Learning from a large-scale calibration effort of multiple lake temperature models
Johannes Feldbauer, Jorrit P. Mesman, Tobias K. Andersen, and Robert Ladwig
Hydrol. Earth Syst. Sci., 29, 1183–1199, https://doi.org/10.5194/hess-29-1183-2025,https://doi.org/10.5194/hess-29-1183-2025, 2025
Short summary
The influence of permafrost and other environmental factors on stream thermal sensitivity across Yukon, Canada
Andras J. Szeitz and Sean K. Carey
Hydrol. Earth Syst. Sci., 29, 1083–1101, https://doi.org/10.5194/hess-29-1083-2025,https://doi.org/10.5194/hess-29-1083-2025, 2025
Short summary
Assessing national exposure to and impact of glacial lake outburst floods considering uncertainty under data sparsity
Huili Chen, Qiuhua Liang, Jiaheng Zhao, and Sudan Bikash Maharjan
Hydrol. Earth Syst. Sci., 29, 733–752, https://doi.org/10.5194/hess-29-733-2025,https://doi.org/10.5194/hess-29-733-2025, 2025
Short summary
Modeling Lake Titicaca's water balance: the dominant roles of precipitation and evaporation
Nilo Lima-Quispe, Denis Ruelland, Antoine Rabatel, Waldo Lavado-Casimiro, and Thomas Condom
Hydrol. Earth Syst. Sci., 29, 655–682, https://doi.org/10.5194/hess-29-655-2025,https://doi.org/10.5194/hess-29-655-2025, 2025
Short summary
Effect of floodplain trees on apparent friction coefficient in straight compound channels
Adam P. Kozioł, Adam Kiczko, Marcin Krukowski, Elżbieta Kubrak, Janusz Kubrak, Grzegorz Majewski, and Andrzej Brandyk
Hydrol. Earth Syst. Sci., 29, 535–545, https://doi.org/10.5194/hess-29-535-2025,https://doi.org/10.5194/hess-29-535-2025, 2025
Short summary

Cited articles

Burgin, A. J. and Hamilton, S. K.: Have we overemphasized the role of denitrification in aquatic ecosystems? A review of nitrate removal pathways, Front. Ecol. Environ., 5, 89–96, https://doi.org/10.1890/1540-9295(2007)5[89:HWOTRO]2.0.CO;2, 2007. 
Chapra, S. C.: Surface water-quality modeling, Waveland Press, Long Grove, IL, US, 2008. 
Cooper, A. B. and Cooke, J. G.: Nitrate loss and transformation in 2 vegetated headwater streams, New Zeal. J. Mar. Fresh., 18, 441–450, https://doi.org/10.1080/00288330.1984.9516065, 1984. 
Covino, T. P., Bernhardt, E. S., and Heffernan, J. B.: Measuring and interpreting relationships between nutrient supply, demand, and limitation, Freshw. Sci., 37, 448–455, https://doi.org/10.1086/699202, 2018. 
Ensign, S. H. and Doyle, M. W.: Nutrient spiraling in streams and river networks, J. Geophys. Res.-Biogeo., 111, G04009, https://doi.org/10.1029/2005JG000114, 2006. 
Download
Short summary
In this study, we set up a water quality model using a 5-year paired high-frequency water quality dataset from a large agricultural stream. The simulations were compared with the 15 min interval measurements and showed very good fits. Based on these, we quantified the N uptake pathway rates and efficiencies at daily, seasonal, and yearly scales. This study offers an overarching understanding of N processing in large agricultural streams across different temporal scales.
Share