- 1Yeungnam University, Department: Department of Environmental Engineering, Korea, Republic of (alswjd@yu.ac.kr)
- 2Yeungnam University, Department: Department of Environmental Engineering, Korea, Republic of (jeung9506@gmail.com)
- 3Yeungnam University, Department: Department of Environmental Engineering, Korea, Republic of (danayun321@gmail.com)
- 4Yeungnam University, Department: Department of Environmental Engineering, Korea, Republic of (park011205@yu.ac.kr)
- 5Yeungnam University, Department of integrated water management, Korea, Republic of (22350157@yu.ac.kr)
- 6Yeungnam University, Department: Department of Environmental Engineering, Korea, Republic of (ssbaek@yu.ac.kr)
Fecal coliform bacteria are widely used as an indicator of fecal contamination and associated human-health risk in water. This study simulated fecal coliform dynamics in the Bonghwang River using the Soil and Water Assessment Tool (SWAT). The SWAT bacteria subroutine, which considers in-stream bacteria die-off only, was modified to include solar radiation-associated die-off and concurrent growth and die-off within streambed sediments. To address the computational burden of SWAT, a surrogate model was developed using outputs from the modified SWAT model. The surrogate model enabled rapid watershed-scale prediction of fecal contamination by simplifying computations while preserving the predictive accuracy of SWAT. Sensitivity analysis demonstrated that solar radiation is one of the most significant fate factors of fecal coliform. The modified SWAT model improved watershed-scale estimates of bacterial concentrations, while the surrogate model enabled efficient prediction and analysis across the watershed. Overall, this approach provides predictive and reliable information on fecal contamination and can support effective watershed management.
How to cite: Cho, M., Jeung, M., Yun, D., Park, J., Bang, G., and Baek, S.-S.: Simulating fecal coliform dynamics at the watershed scale using a modified SWAT model and surrogate model, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16160, https://doi.org/10.5194/egusphere-egu26-16160, 2026.