Articles | Volume 30, issue 12
https://doi.org/10.5194/hess-30-4095-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
30 Jun 2026
Research article |
| 30 Jun 2026
| 30 Jun 2026
Identifying dominant parameters in SWAT across subbasin and HRU scales using a two-step deep learning-assisted spatial sensitivity analysis
Related authors
Hydrol. Earth Syst. Sci., 30, 2759–2774, 2026
Cited articles
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Aloui, S., Mazzoni, A., Elomri, A., Aouissi, J., Boufekane, A., and Zghibi, A.: A review of Soil and Water Assessment Tool (SWAT) studies of Mediterranean catchments: Applications, feasibility, and future directions, J. Environ. Manage., 326, 116799, https://doi.org/10.1016/j.jenvman.2022.116799, 2023.
Arnold, J., Moriasi, D., Gassman, P., Abbaspour, K., White, M., Srinivasan, R., Santhi, C., Harmel, R., van Griensven, A., Van Liew, M., Kannan, N., and Jha, M.: SWAT: Model Use, Calibration, and Validation, T. ASABE, 55, 1491–1508, https://doi.org/10.13031/2013.42256, 2012.
Bai, J., Zhou, Z., Li, J., Liu, T., Zhu, Q., and Zheng, T.: Predicting soil conservation service in the Jinghe River Basin under climate change, J. Hydrol., 615, 128646, https://doi.org/10.1016/j.jhydrol.2022.128646, 2022.
Bai, T., Liu, X., Liu, D., and Zhou, Y.: Water allocation and irrigation scheme considering runoff forecasting of Ulungur River, Ecol. Indic., 173, 113381, https://doi.org/10.1016/j.ecolind.2025.113381, 2025.
