Articles | Volume 27, issue 1
Technical note
09 Jan 2023
Technical note |  | 09 Jan 2023

Technical note: Extending the SWAT model to transport chemicals through tile and groundwater flow

Hendrik Rathjens, Jens Kiesel, Michael Winchell, Jeffrey Arnold, and Robin Sur

Related authors

A Framework for Parameter Estimation, Sensitivity Analysis, and Uncertainty Analysis for Holistic Hydrologic Modeling Using SWAT+
Salam A. Abbas, Ryan T. Bailey, Jeremy T. White, Jeffrey G. Arnold, Michael J. White, Natalja Čerkasova, and Jungang Gao
Hydrol. Earth Syst. Sci. Discuss.,,, 2023
Preprint under review for HESS
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
An advanced tool integrating failure and sensitivity analysis into novel modeling of the stormwater flood volume
Francesco Fatone, Bartosz Szeląg, Przemysław Kowal, Arthur McGarity, Adam Kiczko, Grzegorz Wałek, Ewa Wojciechowska, Michał Stachura, and Nicolas Caradot
Hydrol. Earth Syst. Sci., 27, 3329–3349,,, 2023
Short summary
airGRteaching: an open-source tool for teaching hydrological modeling with R
Olivier Delaigue, Pierre Brigode, Guillaume Thirel, and Laurent Coron
Hydrol. Earth Syst. Sci., 27, 3293–3327,,, 2023
Short summary
Stable water isotopes and tritium tracers tell the same tale: no evidence for underestimation of catchment transit times inferred by stable isotopes in StorAge Selection (SAS)-function models
Siyuan Wang, Markus Hrachowitz, Gerrit Schoups, and Christine Stumpp
Hydrol. Earth Syst. Sci., 27, 3083–3114,,, 2023
Short summary
Uncertainty in water transit time estimation with StorAge Selection functions and tracer data interpolation
Arianna Borriero, Rohini Kumar, Tam V. Nguyen, Jan H. Fleckenstein, and Stefanie R. Lutz
Hydrol. Earth Syst. Sci., 27, 2989–3004,,, 2023
Short summary
Changes in Mediterranean flood processes and seasonality
Yves Tramblay, Patrick Arnaud, Guillaume Artigue, Michel Lang, Emmanuel Paquet, Luc Neppel, and Eric Sauquet
Hydrol. Earth Syst. Sci., 27, 2973–2987,,, 2023
Short summary

Cited articles

Arabi, M., Frankenberger, J. R., Engel, B., and Arnold, J. G.: Representation of agricultural management practices with SWAT, Hydrol. Process., 22, 3042–3055, 2008. 
Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R.: Large-area hydrologic modeling and assessment: part I. model development, Am. Wat. Res., 34, 73–89, 1998. 
Bannwarth, M. A., Sangchan, W., Hugenschmidt, C., Lamers, M., Ingwersen, J., Ziegler, A. D., and Streck, T.: Pesticide transport simulation in a tropical catchment by SWAT, Environ. Pollut., 191, 70–79, 2014. 
Bayer Crop Science: Bayer Crop Science Internal Report 1, 144 pp., 2018. 
Bieger, K., Arnold, J. G., Rathjens, H., White, M. J., Bosch, D. D., Allen, P. M., Volk, M., and Srinivasan, R.: Introduction to SWAT+, A Completely Restructured Version of the Soil and Water Assessment Tool, J. Am. Water Resour. As., 53, 115–130,, 2017. 
Short summary
The SWAT model can simulate the transport of water-soluble chemicals through the landscape but neglects the transport through groundwater or agricultural tile drains. These transport pathways are, however, important to assess the amount of chemicals in streams. We added this capability to the model, which significantly improved the simulation. The representation of all transport pathways in the model enables watershed managers to develop robust strategies for reducing chemicals in streams.