122 citations as recorded by crossref.

1. Study on the Relationship between Snowmelt Runoff for Different Latitudes and Vegetation Growth Based on an Improved SWAT Model in Xinjiang, China Y. Duan et al. https://doi.org/10.3390/su13031189
2. 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
3. Long-term change in the depth of seasonally frozen ground and its ecohydrological impacts in the Qilian Mountains, northeastern Tibetan Plateau Y. Qin et al. https://doi.org/10.1016/j.jhydrol.2016.09.008
4. Hydrological Modelling for Water Resource Management in a Semi-Arid Mountainous Region Using the Soil and Water Assessment Tool: A Case Study in Northern Afghanistan W. Hussainzada & H. Lee https://doi.org/10.3390/hydrology8010016
5. Uncertainty analysis of a semi-distributed hydrologic model based on a Gaussian Process emulator J. Yang et al. https://doi.org/10.1016/j.envsoft.2017.11.037
6. Quantifying the relative contribution of climate variability and human activities impacts on baseflow dynamics in the Tarim River Basin, Northwest China H. Li et al. https://doi.org/10.1016/j.ejrh.2021.100853
7. Groundwater modelling in SWAT+: Considerations for a realistic baseflow simulation A. Sánchez-Gómez et al. https://doi.org/10.1016/j.gsd.2024.101275
8. Minimum forest cover required for sustainable water flow regulation of a watershed: a case study in Jambi Province, Indonesia S. Tarigan et al. https://doi.org/10.5194/hess-22-581-2018
9. Investigating climate change impacts on runoff and sediment transport processes in the midstream of the Yarlung Tsangpo river based on hydrological simulation L. Wang et al. https://doi.org/10.1016/j.catena.2025.108920
10. 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
11. Assessing the effects of precipitation and temperature changes on hydrological processes in a glacier‐dominated catchment X. Wang et al. https://doi.org/10.1002/hyp.10538
12. A Comparison of Streamflow and Baseflow Responses to Land-Use Change and the Variation in Climate Parameters Using SWAT M. Aboelnour et al. https://doi.org/10.3390/w12010191
13. Application of Different Separation Methods to Investigate the Baseflow Characteristics of a Semi-Arid Sandy Area, Northwestern China G. Shao et al. https://doi.org/10.3390/w12020434
14. Evaluating hourly SWAT streamflow simulations for urbanized and forest watersheds across northwestern Delaware, US Y. Li & T. DeLiberty https://doi.org/10.1007/s00477-020-01904-y
15. Quantification and variation characteristics of baseflow nonpoint source pollution in Yiluo River Basin, China J. Zheng et al. https://doi.org/10.1016/j.jhydrol.2023.130303
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17. Modeling and comparing streamflow simulations in two different montane watersheds of western himalayas S. Sarah et al. https://doi.org/10.1016/j.gsd.2021.100689
18. Estimation of Streamflow Depletion Caused by Groundwater Withdrawal in the Bokhacheon Watershed in South Korea Using the Modified SWAT Model J. Lee et al. https://doi.org/10.3390/w15193336
19. Impact of the model structure and calibration strategy on baseflow modeling in the German low mountain range M. Kissel et al. https://doi.org/10.2166/hydro.2024.077
20. A comprehensive calibration and validation of SWAT-T using local datasets, evapotranspiration and streamflow in a tropical montane cloud forest area with permeable substrate in central Veracruz, Mexico S. López-Ramírez et al. https://doi.org/10.1016/j.jhydrol.2021.126781
21. What controls the partitioning between baseflow and mountain block recharge in the Qinghai‐Tibet Plateau? Y. Yao et al. https://doi.org/10.1002/2017GL074344
22. Influences of Land Use Change on Baseflow in Mountainous Watersheds X. Huang et al. https://doi.org/10.3390/f7010016
23. A Review of the Application of the Soil and Water Assessment Tool (SWAT) in Karst Watersheds I. Al Khoury et al. https://doi.org/10.3390/w15050954
24. Rationalization of Altitudinal Precipitation Profiles in a Data-Scarce Glacierized Watershed Simulation in the Karakoram X. Wang et al. https://doi.org/10.3390/w8050186
25. Towards a more consistent eco-hydrological modelling through multi-objective calibration: a case study in the Andean Vilcanota River basin, Peru C. Fernandez-Palomino et al. https://doi.org/10.1080/02626667.2020.1846740
26. Hydrological response to urbanization at different spatio-temporal scales simulated by coupling of CLUE-S and the SWAT model in the Yangtze River Delta region F. Zhou et al. https://doi.org/10.1016/j.jhydrol.2012.12.040
27. Effects of vegetation restoration on runoff and its components in the mountainous Haihe River Basin Y. Chang et al. https://doi.org/10.1016/j.ejrh.2024.101803
28. Characteristics of Runoff in Huangshuigou River Basin and Its Future Change Trend 勇. 程 https://doi.org/10.12677/JWRR.2022.111004
29. Modification of the SWAT model to simulate regional groundwater flow using a multicell aquifer V. Nguyen & J. Dietrich https://doi.org/10.1002/hyp.11466
30. Future variability in groundwater-surface water interactions: Implications for streamflow and its components using SWAT-MODFLOW 6 and CMIP 6 projections S. Lee et al. https://doi.org/10.1016/j.jhydrol.2025.134511
31. A hybrid model to simulate the annual runoff of the Kaidu River in northwest China J. Xu et al. https://doi.org/10.5194/hess-20-1447-2016
32. Effects of projected climate change on the glacier and runoff generation in the Naryn River Basin, Central Asia R. Gan et al. https://doi.org/10.1016/j.jhydrol.2015.01.057
33. Recharge and baseflow constrained by surface-water and groundwater chemistry: case study of the Chari River, Chad basin J. Gonçalvès et al. https://doi.org/10.1007/s10040-020-02259-y
34. Hydrological Modeling and Runoff Mitigation in an Ungauged Basin of Central Vietnam Using SWAT Model A. Rafiei Emam et al. https://doi.org/10.3390/hydrology4010016
35. Coupling SWAT Model and CMB Method for Modeling of High-Permeability Bedrock Basins Receiving Interbasin Groundwater Flow J. Senent-Aparicio et al. https://doi.org/10.3390/w12030657
36. Large‐Scale Fine‐Resolution Hydrological Modeling Using Parameter Regionalization in the Missouri River Basin P. Daggupati et al. https://doi.org/10.1111/1752-1688.12413
37. Multi-model assessment of glacio-hydrological changes in central Karakoram, Pakistan J. Hassan et al. https://doi.org/10.1007/s11629-021-6748-9
38. Contribution of baseflow nitrate export to non-point source pollution S. He & J. Lu https://doi.org/10.1007/s11430-016-5329-1
39. Changes of Hydrological Components in Arctic Rivers Based on Multi-Source Data during 2003–2016 H. Wu et al. https://doi.org/10.3390/w13243494
40. Future projection of cryospheric and hydrologic regimes in Koshi River basin, Central Himalaya, using coupled glacier dynamics and glacio-hydrological models M. Khadka et al. https://doi.org/10.1017/jog.2020.51
41. Progress and prospects of climate change impacts on hydrology in the arid region of northwest China Y. Chen et al. https://doi.org/10.1016/j.envres.2014.12.029
42. Baseflow dynamics and multivariate analysis using bivariate and multiple wavelet coherence in an alpine endorheic river basin (Northwest China) Q. Cheng et al. https://doi.org/10.1016/j.scitotenv.2021.145013
43. Baseflow characteristics in alpine rivers — a multi-catchment analysis in Northwest China R. Gan et al. https://doi.org/10.1007/s11629-013-2959-z
44. Effects of forest cover type and ratio changes on runoff and its components B. Ding et al. https://doi.org/10.1016/j.iswcr.2022.01.006
45. Assessing the effect of watershed slopes on recharge/baseflow and soil erosion J. Lee et al. https://doi.org/10.1007/s10333-014-0448-9
46. A Review of Baseflow Analysis Techniques of Watershed-Scale Runoff Models J. Han et al. https://doi.org/10.5389/KSAE.2016.58.4.075
47. Estimation of Total Drainable Water Storage Using GRACE in the Brahmaputra River Basin, India P. Parmita & R. Bhattacharjya https://doi.org/10.1061/JHYEFF.HEENG-6136
48. Evaluation of Baseflow Modeling with BlueM.Sim for Long-Term Hydrological Studies in the German Low Mountain Range of Hesse, Germany M. Kissel et al. https://doi.org/10.3390/hydrology10120222
49. Long-Term Variation of Runoff Coefficient during Dry and Wet Seasons Due to Climate Change D. Ha et al. https://doi.org/10.3390/w11112411
50. Quantifying future changes in glacier melt and river runoff in the headwaters of the Urumqi River, China Y. Zhang et al. https://doi.org/10.1007/s12665-016-5563-z
51. SWAT-Based Runoff Simulation and Runoff Responses to Climate Change in the Headwaters of the Yellow River, China J. Wu et al. https://doi.org/10.3390/atmos10090509
52. Review article: Hydrological modeling in glacierized catchments of central Asia – status and challenges Y. Chen et al. https://doi.org/10.5194/hess-21-669-2017
53. On the configuration and initialization of a large-scale hydrological land surface model to represent permafrost M. Elshamy et al. https://doi.org/10.5194/hess-24-349-2020
54. Combined use of volume-area and volume-length scaling relationships in glacio-hydrological simulation X. Wang et al. https://doi.org/10.2166/nh.2018.137
55. Dynamic coevolution of baseflow and multiscale groundwater flow system during prolonged droughts C. Wang et al. https://doi.org/10.1016/j.jhydrol.2022.127657
56. Comparison of short-term streamflow forecasting using stochastic time series, neural networks, process-based, and Bayesian models M. Wagena et al. https://doi.org/10.1016/j.envsoft.2020.104669
57. Reflection of Daily, Seasonal and Interannual Variations in Run-Off of a Small River in the Water Isotopic Composition (δ2H, δ18O): A Case of the Ala-Archa Mountain River Basin with Glaciation (Kyrgyzstan, Central Asia) I. Tokarev et al. https://doi.org/10.3390/w16111632
58. Assessment of Long-term Groundwater Use Increase and Forest Growth Impact on Watershed Hydrology W. Kim et al. https://doi.org/10.1007/s11269-022-03335-6
59. Impacts of Land Use Types, Soil Properties, and Topography on Baseflow Recharge and Prediction in an Agricultural Watershed C. Wei et al. https://doi.org/10.3390/land12010109
60. Land surface hydrological modelling of the Mackenzie River Basin: Parametrization to simulate streamflow and permafrost dynamics M. Elshamy et al. https://doi.org/10.1016/j.jhydrol.2025.133134
61. Hydrological process simulation in Manas River Basin using CMADS X. Gu et al. https://doi.org/10.1515/geo-2020-0127
62. SWAT-Simulated Streamflow Responses to Climate Variability and Human Activities in the Miyun Reservoir Basin by Considering Streamflow Components T. Yan et al. https://doi.org/10.3390/su10040941
63. Simulating surface flow and baseflow in Poko catchment, Kon Tum province, Vietnam V. Tram et al. https://doi.org/10.2166/wcc.2018.185
64. Evaluation of SWAT models performance to simulate streamflow spatial origin. The case of a small forested watershed M. Meaurio et al. https://doi.org/10.1016/j.jhydrol.2015.03.050
65. Spatial‐temporal variation of near‐surface temperature lapse rates over the Tianshan Mountains, central Asia Y. Shen et al. https://doi.org/10.1002/2016JD025711
66. Structural improvement of a kinematic wave-based distributed hydrologic model to estimate long-term river discharge in a tropical climate basin T. Meema & Y. Tachikawa https://doi.org/10.3178/hrl.14.104
67. Comparison of performance of tile drainage routines in SWAT 2009 and 2012 in an extensively tile-drained watershed in the Midwest T. Guo et al. https://doi.org/10.5194/hess-22-89-2018
68. Potential application of hydrological ensemble prediction in forecasting floods and its components over the Yarlung Zangbo River basin, China L. Liu et al. https://doi.org/10.5194/hess-23-3335-2019
69. Comparison of hydrological regime of glacierized Marshyangdi and Tamor river basins of Nepal A. Gupta et al. https://doi.org/10.1007/s12665-019-8443-5
70. Response of runoff and sediment transport process to climate change in the headwater regions of Yangtze River L. Wang et al. https://doi.org/10.1016/j.jhydrol.2026.135079
71. Modelling Climate Change Impacts on the Seasonality of Water Resources in the Upper Ca River Watershed in Southeast Asia P. Giang et al. https://doi.org/10.1155/2014/279135
72. Evaluating the spatial scaling effect of baseflow and baseflow nonpoint source pollution in a nested watershed Y. Zhu et al. https://doi.org/10.1016/j.jhydrol.2019.124221
73. Using the nonlinear aquifer storage–discharge relationship to simulate the base flow of glacier- and snowmelt-dominated basins in northwest China R. Gan & Y. Luo https://doi.org/10.5194/hess-17-3577-2013
74. Assessing the capability of the SWAT model to simulate snow, snow melt and streamflow dynamics over an alpine watershed Y. Grusson et al. https://doi.org/10.1016/j.jhydrol.2015.10.070
75. Regional Parameter Estimation of the SWAT Model: Methodology and Application to River Basins in the Peruvian Pacific Drainage F. Asurza-Véliz & W. Lavado-Casimiro https://doi.org/10.3390/w12113198
76. Spatiotemporal heterogeneity and attributions of streamflow and baseflow changes across the headstreams of the Tarim River Basin, Northwest China H. Li et al. https://doi.org/10.1016/j.scitotenv.2022.159230
77. A DEM-based method for refining delineated stream networks using a longitudinal incision index B. Zhang et al. https://doi.org/10.1080/13658816.2026.2693884
78. Stream response to precipitation variability: a spectral view based on analysis and modelling of hydrological cycle components D. Markovic & M. Koch https://doi.org/10.1002/hyp.10293
79. Base flow simulation using a physically based subsurface model – The case of a tropical basin in the Western Ghats, India P. George & M. Sekhar https://doi.org/10.1016/j.jhydrol.2022.128451
80. Hydrological and water cycle processes of inland river basins in the arid region of Northwest China Y. Chen et al. https://doi.org/10.1007/s40333-019-0050-5
81. Improved Curve Number Estimation in SWAT by Reflecting the Effect of Rainfall Intensity on Runoff Generation D. Zhang et al. https://doi.org/10.3390/w11010163
82. Attribution of Runoff Decline in the Amu Darya River in Central Asia during 1951–2007 X. Wang et al. https://doi.org/10.1175/JHM-D-15-0114.1
83. The Effects of Model Complexity on Model Output Uncertainty in Co‐Evolved Coupled Natural‐Human Systems C. Lin & Y. Yang https://doi.org/10.1029/2021EF002403
84. Assessment of baseflow estimates using ArcSWAT and digital filter method in Mago River Basin of Arunachal Pradesh N. Chiphang et al. https://doi.org/10.1007/s40899-023-00945-9
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87. Decadal Changes in Soil Water Storage Characteristics Linked to Forest Management in a Steep Watershed C. Gunay et al. https://doi.org/10.3390/w15010054
88. Improvement and Analysis for Accuracy of Baseflow Using SWAT-CUP Premium in the Yongjeon Stream, South Korea J. Kim et al. https://doi.org/10.1007/s00024-023-03381-0
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98. Research Hotspots and Trends in Soil Infiltration at the Watershed Scale Using the SWAT Model: A Bibliometric Analysis Y. Ouyang et al. https://doi.org/10.3390/w17142119
99. Contribution of nonpoint source pollution from baseflow of a typical agriculture-intensive basin in northern China T. Guan et al. https://doi.org/10.1016/j.envres.2022.113589
100. Spatiotemporal Dynamics of Ecosystem Water Yield Services and Responses to Future Land Use Scenarios in Henan Province, China S. Wang et al. https://doi.org/10.3390/w16172544
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102. Impacts of climate change and best management practices on nitrate loading to a eutrophic coastal lagoon A. Oliver et al. https://doi.org/10.3389/fenvs.2024.1468869
103. Application of SWAT Using Snow Data and Detecting Climate Change Impacts in the Mountainous Eastern Regions of Turkey I. Peker & A. Sorman https://doi.org/10.3390/w13141982
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108. Estimation of base and surface flow using deep neural networks and a hydrologic model in two watersheds of the Chesapeake Bay J. Lee et al. https://doi.org/10.1016/j.jhydrol.2022.128916
109. Spatiotemporal hydrological analysis of streamflows and groundwater recharge for sustainable water management in Prince Edward Island, Canada A. Bhatti et al. https://doi.org/10.1002/wwp2.12065
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122. Comparative Study of Hydrology and Icemelt in Three Nepal River Basins Using the Glacio-Hydrological Degree-Day Model (GDM) and Observations From the Advanced Scatterometer (ASCAT) R. Kayastha et al. https://doi.org/10.3389/feart.2019.00354