Articles | Volume 28, issue 20
https://doi.org/10.5194/hess-28-4599-2024
https://doi.org/10.5194/hess-28-4599-2024
Research article
 | 
24 Oct 2024
Research article |  | 24 Oct 2024

Simulation of spatially distributed sources, transport, and transformation of nitrogen from fertilization and septic systems in a suburban watershed

Ruoyu Zhang, Lawrence E. Band, Peter M. Groffman, Laurence Lin, Amanda K. Suchy, Jonathan M. Duncan, and Arthur J. Gold

Related authors

Explaining changes in rainfall–runoff relationships during and after Australia's Millennium Drought: a community perspective
Keirnan Fowler, Murray Peel, Margarita Saft, Tim J. Peterson, Andrew Western, Lawrence Band, Cuan Petheram, Sandra Dharmadi, Kim Seong Tan, Lu Zhang, Patrick Lane, Anthony Kiem, Lucy Marshall, Anne Griebel, Belinda E. Medlyn, Dongryeol Ryu, Giancarlo Bonotto, Conrad Wasko, Anna Ukkola, Clare Stephens, Andrew Frost, Hansini Gardiya Weligamage, Patricia Saco, Hongxing Zheng, Francis Chiew, Edoardo Daly, Glen Walker, R. Willem Vervoort, Justin Hughes, Luca Trotter, Brad Neal, Ian Cartwright, and Rory Nathan
Hydrol. Earth Syst. Sci., 26, 6073–6120, https://doi.org/10.5194/hess-26-6073-2022,https://doi.org/10.5194/hess-26-6073-2022, 2022
Short summary
Guidance on evaluating parametric model uncertainty at decision-relevant scales
Jared D. Smith, Laurence Lin, Julianne D. Quinn, and Lawrence E. Band
Hydrol. Earth Syst. Sci., 26, 2519–2539, https://doi.org/10.5194/hess-26-2519-2022,https://doi.org/10.5194/hess-26-2519-2022, 2022
Short summary

Cited articles

Abbott, M. B., Bathurst, J. C., Cunge, J. A., Oconnell, P. E., and Rasmussen, J.: An Introduction to the European Hydrological System – Systeme Hydrologique Europeen, She, 1. History and Philosophy of a Physically-Based, Distributed Modeling System, J. Hydrol., 87, 45–59, https://doi.org/10.1016/0022-1694(86)90114-9, 1986a. 
Abbott, M. B., Bathurst, J. C., Cunge, J. A., Oconnell, P. E., and Rasmussen, J.: An Introduction to the European Hydrological System – Systeme Hydrologique Europeen, She, 2. Structure of a Physically-Based, Distributed Modeling System, J. Hydrol., 87, 61–77, https://doi.org/10.1016/0022-1694(86)90115-0, 1986b. 
Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R.: Large area hydrologic modeling and assessment – Part 1: Model development, J. Am. Water Resour. Assoc., 34, 73-89, https://doi.org/10.1111/j.1752-1688.1998.tb05961.x, 1998. 
Ator, S. W. and Garcia, A. M.: Application of Sparrow Modeling to Understanding Contaminant Fate and Transport from Uplands to Streams, J. Am. Water Resour. Assoc., 52, 685–704, https://doi.org/10.1111/1752-1688.12419, 2016.  
Baltimore County GIS: Hydrology Lines, Baltimore County GIS [data set], https://opendata.baltimorecountymd.gov/datasets/hydrology-lines (last access: 18 October 2023), 2016. 
Download
Short summary
Human-induced nitrogen (N) from fertilization and septic effluents is the primary N source in urban watersheds. We developed a model to understand how spatial and temporal patterns of these loads affect hydrologic and biogeochemical processes at the hillslope level. The comparable simulations to observations showed the ability of our model to enhance insights into current water quality conditions, identify high-N-retention locations, and plan future restorations to improve urban water quality. 
Share