63 citations as recorded by crossref.

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4. Using the Budyko hypothesis for detecting and attributing changes in runoff to climate and vegetation change in the soft sandstone area of the middle Yellow River basin, China H. Li et al. 10.1016/j.scitotenv.2019.135588
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6. Unrevealing past and future vegetation restoration on the Loess Plateau and its impact on terrestrial water storage K. Liu et al. 10.1016/j.jhydrol.2022.129021
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8. Assessment of changes in water conservation capacity under land degradation neutrality effects in a typical watershed of Yellow River Basin, China D. Zuo et al. 10.1016/j.ecolind.2023.110145
9. Impact of Land Use Change on Water Conservation: A Case Study of Zhangjiakou in Yongding River T. Pan et al. 10.3390/su13010022
10. Assessment of hydrological water balance in Lower Nzoia Sub-catchment using SWAT-model: towards improved water governace in Kenya L. Juma et al. 10.1016/j.heliyon.2022.e09799
11. Enhancing ecohydrological simulation with improved dynamic vegetation growth module in SWAT S. An et al. 10.1016/j.jhydrol.2024.132042
12. Effects of Land Use and Land Cover Change on Temperature in Summer over the Yellow River Basin, China X. Ru et al. 10.3390/rs14174352
13. Evaluation and hydrological application of satellite-based precipitation datasets in driving hydrological models over the Huifa river basin in Northeast China H. Zhu et al. 10.1016/j.atmosres.2018.02.022
14. Effects of the “Grain for Green” Program on Soil Water Dynamics in the Semi-Arid Grassland of Inner Mongolia, China Z. Zhang et al. 10.3390/w13152034
15. Effects of vegetation restoration on runoff and its components in the mountainous Haihe River Basin Y. Chang et al. 10.1016/j.ejrh.2024.101803
16. Baseflow estimation in typical catchments in the Yellow River Basin, China C. Hu et al. 10.2166/ws.2020.338
17. Improving SWAT model performance in the upper Blue Nile Basin using meteorological data integration and subcatchment discretization E. Polanco et al. 10.5194/hess-21-4907-2017
18. Quantifying climate and anthropogenic impacts on runoff using the SWAT model, a Budyko-based approach and empirical methods R. Xu et al. 10.1080/02626667.2023.2218551
19. Hydrological evaluation of open-access precipitation data using SWAT at multiple temporal and spatial scales J. Pang et al. 10.5194/hess-24-3603-2020
20. Sensitivity of Vegetation Growth to Precipitation in a Typical Afforestation Area in the Loess Plateau: Plant-Water Coupled Modelling D. Wu et al. 10.1016/j.ecolmodel.2020.109128
21. Assessment of an Alternative Climate Product for Hydrological Modeling: A Case Study of the Danjiang River Basin, China Y. Guo et al. 10.3390/w14071105
22. Impacts of land use/cover change on water balance by using the SWAT model in a typical loess hilly watershed of China Z. Liu et al. 10.1016/j.geosus.2022.11.006
23. Assessing the Impacts of Future Climate and Land-Use Changes on Streamflow under Multiple Scenarios: A Case Study of the Upper Reaches of the Tarim River in Northwest China Q. Han et al. 10.3390/w16010100
24. Multi-Scale Effect of Land Use Landscape on Basin Streamflow Impacts in Loess Hilly and Gully Region of Loess Plateau: Insights from the Sanchuan River Basin, China Z. Lei et al. 10.3390/su162310781
25. Hydrologic response to land use/cover changes and Pteronia incana shrub invasion in Keiskamma catchment, Eastern Cape Province, South Africa S. Mlamla et al. 10.1080/10106049.2022.2032395
26. Coupling of SWAT and EPIC Models to Investigate the Mutual Feedback Relationship between Vegetation and Soil Erosion, a Case Study in the Huangfuchuan Watershed, China Z. Luo et al. 10.3390/f14040844
27. Spatiotemporal Water Yield Variations and Influencing Factors in the Lhasa River Basin, Tibetan Plateau H. Lu et al. 10.3390/w12051498
28. Spatiotemporal variations of water conservation function based on EOF analysis at multi time scales under different ecosystems of Heihe River Basin Q. Wu et al. 10.1016/j.jenvman.2022.116532
29. Climatic and hydrologic controls on net primary production in a semiarid loess watershed F. Zhao et al. 10.1016/j.jhydrol.2018.11.031
30. Attribution Analysis of Runoff Change in Min-Tuo River Basin based on SWAT model simulations, China J. Hu et al. 10.1038/s41598-020-59659-z
31. Determining relative contributions of climate change and multiple human activities to runoff and sediment reduction in the eastern Loess Plateau, China J. Wang et al. 10.1016/j.catena.2023.107376
32. Modeling the effect of LULC change on water quantity and quality in Big Creek Lake Watershed, South Alabama USA E. Eva et al. 10.1016/j.ejrs.2024.03.005
33. Coupling Changes in Runoff and Sediment and Their Relationships with Erosion Energy and Underlying Surface in the Wuding River Basin, China Q. Yang et al. 10.3390/land13040496
34. Land Use Change Impacts on Hydrology in the Nenjiang River Basin, Northeast China F. Li et al. 10.3390/f10060476
35. Unveiling flood-generating mechanisms using circular statistics-based machine learning approach without the need for discharge data during inference Z. Zhang et al. 10.2166/nh.2023.058
36. Impact of the Grain for Green Project on water resources and ecological water stress in the Yanhe River Basin Y. Han et al. 10.1371/journal.pone.0259611
37. Revisiting Biophysical Impacts of Greening on Precipitation Over the Loess Plateau of China Using WRF With Water Vapor Tracers Y. Liu et al. 10.1029/2023GL102809
38. Impact of greenspaces and water bodies on hydrological processes in an urbanizing area: A case study of the Liuxi River Basin in the Pearl River Delta, China N. Wang et al. 10.1016/j.ecolind.2023.111083
39. Investigating the effects of climate and vegetation changes on spatiotemporal variation of baseflow in the Yellow River basin J. Xu et al. 10.1016/j.jhydrol.2024.132517
40. Spatio-Temporal Patterns of Land-Use Changes and Conflicts between Cropland and Forest in the Mekong River Basin during 1990–2020 J. Zhai et al. 10.3390/land11060927
41. The Runoff in the Upper Taohe River Basin and Its Responses to Climate Change L. Cheng et al. 10.3390/w14132094
42. Revisiting the application of the SWAT model in arid and semi-arid regions: a selection from 2009 to 2022 A. Rocha et al. 10.1007/s00704-023-04546-6
43. Uncertainty in simulation of land-use change impacts on catchment runoff with multi-timescales based on the comparison of the HSPF and SWAT models Y. Chen et al. 10.1016/j.jhydrol.2019.03.091
44. Total Maximum Daily Load of the Curug Sub-district Segment of The Cirarab River, Indonesia K. Indriyani et al. 10.1051/e3sconf/202020202010
45. Parameter Uncertainty Analysis for Streamflow Simulation Using SWAT Model in Nashe Watershed, Blue Nile River Basin, Ethiopia M. Leta et al. 10.1155/2022/1826942
46. Bivariate frequency analysis of flood and extreme precipitation under changing environment: case study in catchments of the Loess Plateau, China A. Guo et al. 10.1007/s00477-017-1478-9
47. Hydrological effects of change in vegetation components across global catchments Z. Chen et al. 10.1016/j.jhydrol.2020.125775
48. Impact of revegetation and agricultural intensification on water storage variation in the Yellow River Basin Z. Wang et al. 10.1016/j.jhydrol.2024.131218
49. Parameter Uncertainty Analysis of the SWAT Model in a Mountain-Loess Transitional Watershed on the Chinese Loess Plateau F. Zhao et al. 10.3390/w10060690
50. Quantifying the contributions of climate variation, land use change, and engineering measures for dramatic reduction in streamflow and sediment in a typical loess watershed, China P. Sun et al. 10.1016/j.ecoleng.2019.105611
51. Multi-scenario analysis and optimization strategy of ecological security pattern in the Weihe river basin X. Luo et al. 10.1016/j.jenvman.2024.121813
52. Impacts of climate change and fruit tree expansion on key hydrological components at different spatial scales Y. Xu et al. 10.3389/ffgc.2023.1114423
53. Soil Water Analysis Tools (SWAT) hydrology modelling as a basis for spatial planning: a case study in Cimandiri Watershed, West Java Province I. Ridwansyah et al. 10.1088/1755-1315/380/1/012017
54. Crucial role of natural processes in detecting human influence on evapotranspiration by multisource data analysis M. Zhang & X. Yuan 10.1016/j.jhydrol.2019.124350
55. Assessing the response of runoff to climate change and human activities for a typical basin in the Northern Taihang Mountain, China J. Wang et al. 10.1007/s12040-018-0932-5
56. Evaluation and machine learning improvement of global hydrological model-based flood simulations T. Yang et al. 10.1088/1748-9326/ab4d5e
57. A Multivariate and Multistage Streamflow Prediction Model Based on Signal Decomposition Techniques with Deep Learning D. Yan et al. 10.2112/JCOASTRES-D-21-00011.1
58. Long-Term Variation of Runoff Coefficient during Dry and Wet Seasons Due to Climate Change D. Ha et al. 10.3390/w11112411
59. Quantitative impacts of climate change and human activities on runoff in the Huolin River catchment D. Dan et al. 10.2166/wcc.2022.223
60. Changes in water conservation and possible causes in the Yellow River Basin of China during the recent four decades G. Chen et al. 10.1016/j.jhydrol.2024.131314
61. Significance of using dynamic land-use data and its threshold in hydrology and water quality simulation models Q. Wang et al. 10.1007/s10661-022-09761-8
62. Impacts of Climate Change and Land-Use Change on Hydrological Extremes in the Jinsha River Basin Q. Chen et al. 10.3390/w11071398
63. How intensive revegetation affects runoff in semiarid watersheds: A case study based on an integrated modelling framework Y. Chang & H. Lei 10.1002/eco.2451