43 citations as recorded by crossref.

1. Future Changes in Hydro-Climatic Extremes across Vietnam: Evidence from a Semi-Distributed Hydrological Model Forced by Downscaled CMIP6 Climate Data H. Do et al. https://doi.org/10.3390/w16050674
2. Application of SWAT99.2 to sensitivity analysis of water balance components in unique plots in a hilly region J. Dai et al. https://doi.org/10.1016/j.wse.2017.09.002
3. Application of the SWAT hydrologic model to a tropical watershed at Brazil D. Fukunaga et al. https://doi.org/10.1016/j.catena.2014.10.032
4. Potential Impacts of Land Use Changes on Water Resources in a Tropical Headwater Catchment M. Martins et al. https://doi.org/10.3390/w13223249
5. Decadal Runoff Variability Under Moderate and Extreme Climate Scenarios: A SWAT Modeling Study for a Postglacial Lowland Catchment (NW Poland) M. Majewski et al. https://doi.org/10.3390/w18030419
6. Hydrological modeling and simulation of water balance components using the SWAT model in the coal mining province of the Mahan River catchment, Central India R. Kausher et al. https://doi.org/10.1007/s12665-024-11472-x
7. CALIBRATION AND VALIDATION OF THE SWAT HYDROLOGICAL MODEL FOR THE MUCURI RIVER BASIN R. Almeida et al. https://doi.org/10.1590/1809-4430-eng.agric.v38n1p55-63/2018
8. Distinct indicators of land use and hydrology characterize different aspects of riverine phytoplankton communities Y. Qu et al. https://doi.org/10.1016/j.scitotenv.2022.158209
9. Incorporating landscape depressions and tile drainages of a northern German lowland catchment into a semi‐distributed model J. Kiesel et al. https://doi.org/10.1002/hyp.7607
10. A multi‐storage groundwater concept for the SWAT model to emphasize nonlinear groundwater dynamics in lowland catchments M. Pfannerstill et al. https://doi.org/10.1002/hyp.10062
11. Water and sediment transport modeling of a large temporary river basin in Greece C. Gamvroudis et al. https://doi.org/10.1016/j.scitotenv.2014.12.005
12. Investigation of Climate Change Adaptation Impacts on Optimization of Water Allocation Using a Coupled SWAT-bi Level Programming Model Y. He et al. https://doi.org/10.1007/s13157-021-01434-5
13. Assessing the effect of climate and land use changes on the hydrologic regimes in the upstream of Tajan river basin using SWAT model S. Amiri et al. https://doi.org/10.1007/s13201-023-01932-3
14. Identification of sensitive parameters in daily and monthly hydrological simulations in small to large catchments in Central India A. Singh & S. Jha https://doi.org/10.1016/j.jhydrol.2021.126632
15. A systematic review and multivariate classification of sediment transport models: integrating PRISMA and factor analysis of mixed data F. Alizadeh et al. https://doi.org/10.1016/j.earscirev.2026.105671
16. Suitability of the SWAT Model for Simulating Water Discharge and Sediment Load in a Karst Watershed of the Semiarid Mediterranean Basin A. Martínez-Salvador & C. Conesa-García https://doi.org/10.1007/s11269-019-02477-4
17. Assessment of the SWAT model to simulate a watershed with limited available data in the Pampas region, Argentina M. Romagnoli et al. https://doi.org/10.1016/j.scitotenv.2017.01.041
18. Impacts of biofuel-based land-use change on water quality and sustainability in a Kansas watershed L. Yasarer et al. https://doi.org/10.1016/j.agwat.2016.05.002
19. Modeling the Nexus of Climate Change and Deforestation: Implications for the Blue Water Resources of the Jari River, Amazonia P. Rufino et al. https://doi.org/10.3390/w17050660
20. The impact of future climate and land use/cover change on water resources in the Ndembera watershed and their mitigation and adaptation strategies C. Hyandye et al. https://doi.org/10.1186/s40068-018-0110-4
21. Prediction of Sediment Yield in a Data-Scarce River Catchment at the Sub-Basin Scale Using Gridded Precipitation Datasets M. Ijaz et al. https://doi.org/10.3390/w14091480
22. The importance of topography-controlled sub-grid process heterogeneity and semi-quantitative prior constraints in distributed hydrological models R. Nijzink et al. https://doi.org/10.5194/hess-20-1151-2016
23. SWAT-MODSIM-PSO optimization of multi-crop planning in the Karkheh River Basin, Iran, under the impacts of climate change M. Fereidoon & M. Koch https://doi.org/10.1016/j.scitotenv.2018.02.234
24. Application of modified Manning formula in the determination of vertical profile velocity in natural rivers S. Song et al. https://doi.org/10.2166/nh.2016.131
25. Improved structure of vertical flow velocity distribution in natural rivers based on mean vertical profile velocity and relative water depth S. Song et al. https://doi.org/10.2166/nh.2017.258
26. SWAT Model Application to Assess the Impact of Intensive Corn-farming on Runoff, Sediments and Phosphorous loss from an Agricultural Watershed in Wisconsin E. Mbonimpa et al. https://doi.org/10.4236/jwarp.2012.47049
27. Identifying the impact of land use land cover change on streamflow and nitrate load following modeling approach: a case study in the upstream Dong Nai River basin, Vietnam T. Le et al. https://doi.org/10.1007/s11356-023-26887-5
28. Assessment of water balance based on SWAT hydrological model: a case study of Oued Cherraa basin (Northeastern Morocco) M. Laaboudi et al. https://doi.org/10.1007/s10653-025-02449-1
29. Contribution of meteorological input in calibrating a distributed hydrologic model in a watershed in the Tianshan Mountains, China G. Fang et al. https://doi.org/10.1007/s12665-015-4244-7
30. Modeling nutrient flows from land to rivers and seas – A review and synthesis X. Shan et al. https://doi.org/10.1016/j.marenvres.2023.105928
31. Estimation of Runoff and Sediment Yield in Response to Temporal Land Cover Change in Kentucky, USA S. Kandel et al. https://doi.org/10.3390/land12010147
32. Assessment of the Environmental Fate of the Herbicides Flufenacet and Metazachlor with the SWAT Model N. Fohrer et al. https://doi.org/10.2134/jeq2011.0382
33. Evaluation of the SWAT Model for the Simulation of Flow and Water Balance Based on Orbital Data in a Poorly Monitored Basin in the Brazilian Amazon P. Rufino et al. https://doi.org/10.3390/geographies3010001
34. Study on Erosion Status of Typical Small Watershed in Yanghe River Basin Y. Zheng et al. https://doi.org/10.1088/1757-899X/774/1/012145
35. Testing the Robustness of a Physically-Based Hydrological Model in Two Data Limited Inland Valley Catchments in Dano, Burkina Faso M. Idrissou et al. https://doi.org/10.3390/hydrology7030043
36. Predicting Rainfall and Runoff Through Satellite Soil Moisture Data and SWAT Modelling for a Poorly Gauged Basin in Iran M. Fereidoon et al. https://doi.org/10.3390/w11030594
37. Application of the SWAT Model for a Tile-Drained Lowland Catchment in North-Eastern Germany on Subbasin Scale S. Koch et al. https://doi.org/10.1007/s11269-012-0215-x
38. Análise de sensibilidade e calibração do modelo SWAT aplicado em bacia hidrográfica da região sudeste do Brasil T. Lelis et al. https://doi.org/10.1590/S0100-06832012000200031
39. Smart low flow signature metrics for an improved overall performance evaluation of hydrological models M. Pfannerstill et al. https://doi.org/10.1016/j.jhydrol.2013.12.044
40. Assessing the impacts of Best Management Practices on nitrate pollution in an agricultural dominated lowland catchment considering environmental protection versus economic development M. Haas et al. https://doi.org/10.1016/j.jenvman.2017.02.060
41. Water Balance Uncertainty of a Hydrologic Model to Lengthy Drought and Storm Events in Managed Forest Catchments, Eastern Australia R. Jamshidi & D. Dragovich https://doi.org/10.3390/land12010003
42. How to improve the representation of hydrological processes in SWAT for a lowland catchment – temporal analysis of parameter sensitivity and model performance B. Guse et al. https://doi.org/10.1002/hyp.9777
43. How does the choice of DEMs affect catchment hydrological modeling? D. Moges et al. https://doi.org/10.1016/j.scitotenv.2023.164627