142 citations as recorded by crossref.

1. Impacts of land use changes and climate variability on transboundary Hirmand River using SWAT M. Hajihosseini et al. https://doi.org/10.2166/wcc.2019.100
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4. Representation of seasonal land use dynamics in SWAT+ for improved assessment of blue and green water consumption A. Msigwa et al. https://doi.org/10.5194/hess-26-4447-2022
5. Simulating Reservoir Induced Lhasa Streamflow Variability Using ArcSWAT M. Yasir et al. https://doi.org/10.3390/w12051370
6. Hydrological Modelling using Satellite-Based Crop Coefficients: A Comparison of Methods at the Basin Scale J. Hunink et al. https://doi.org/10.3390/rs9020174
7. Modeling soil temperature in a temperate region: A comparison between empirical and physically based methods in SWAT J. Qi et al. https://doi.org/10.1016/j.ecoleng.2019.01.017
8. Modelling climate change impact on water resources of the Upper Indus Basin J. Ougahi et al. https://doi.org/10.2166/wcc.2021.233
9. Setting up a hydrological model of Alberta: Data discrimination analyses prior to calibration M. Faramarzi et al. https://doi.org/10.1016/j.envsoft.2015.09.006
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11. Simulation of regional irrigation requirement with SWAT in different agro-climatic zones driven by observed climate and two reanalysis datasets B. Uniyal et al. https://doi.org/10.1016/j.scitotenv.2018.08.248
12. Estimation of Lake Outflow from the Poorly Gauged Lake Tana (Ethiopia) Using Satellite Remote Sensing Data Z. Duan et al. https://doi.org/10.3390/rs10071060
13. Climate Change Impact on the Hydrology of Tekeze Basin, Ethiopia: Projection of Rainfall-Runoff for Future Water Resources Planning F. Fentaw et al. https://doi.org/10.1007/s41101-018-0057-3
14. +50 Years of Terrestrial Hydroclimatic Variability in Africa’s Transboundary Waters E. Hasan et al. https://doi.org/10.1038/s41598-019-48813-x
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17. Quantifying water provision service supply, demand and spatial flow for land use optimization: A case study in the YanHe watershed D. Chen et al. https://doi.org/10.1016/j.ecoser.2020.101117
18. Model identification and accuracy for estimation of suspended sediment load K. Khosravi et al. https://doi.org/10.1080/10106049.2022.2142964
19. Applications of the SWAT Model Special Section: Overview and Insights P. Gassman et al. https://doi.org/10.2134/jeq2013.11.0466
20. Modeling Hydrological Responses to Land Use Dynamics, Choke, Ethiopia A. Gessesse et al. https://doi.org/10.1007/s41101-019-00076-3
21. Hydrological modelling of the Zambezi River Basin taking into account floodplain behaviour by a modified reservoir approach T. Cohen Liechti et al. https://doi.org/10.1080/15715124.2014.880707
22. Robust decision making in data scarce contexts: addressing data and model limitations for infrastructure planning under transient climate change J. Shortridge et al. https://doi.org/10.1007/s10584-016-1845-4
23. Applicability of water quality models around the world—a review C. Burigato Costa et al. https://doi.org/10.1007/s11356-019-06637-2
24. Investigating the controlling factors on salinity in soil, groundwater, and river water in a semi-arid agricultural watershed using SWAT-Salt P. Hosseini & R. Bailey https://doi.org/10.1016/j.scitotenv.2021.152293
25. Fostering integrated land and water management approaches: Evaluating the water footprint of a Mediterranean basin under different agricultural land use scenarios G. Salmoral et al. https://doi.org/10.1016/j.landusepol.2016.09.027
26. Modeling the impact of agricultural crops on the spatial and seasonal variability of water balance components in the Lake Tana basin, Ethiopia T. Tigabu et al. https://doi.org/10.2166/nh.2019.170
27. SWATtunR: A transparent and reproducible workflow for scripted SWAT+ calibration in R S. Plungė et al. https://doi.org/10.1016/j.envsoft.2026.107014
28. On the application of rainfall projections from a convection-permitting climate model to lumped catchment models M. Ascott et al. https://doi.org/10.1016/j.jhydrol.2023.129097
29. Hydrological Modelling and Multisite Calibration of the Okavango River Basin: Addressing Catchment Heterogeneity and Climate Variability M. Homa et al. https://doi.org/10.3390/w17101442
30. Assessing Uncertainty in Multi-Source Precipitation for a Semi-Arid Mediterranean Catchment Using SWAT I. Gharnouki et al. https://doi.org/10.1007/s41748-026-01153-z
31. A review of SWAT applications, performance and future needs for simulation of hydro-climatic extremes M. Tan et al. https://doi.org/10.1016/j.advwatres.2020.103662
32. Modelling the potential of land use change to mitigate the impacts of climate change on future drought in the Western Cape, South Africa M. Naik & B. Abiodun https://doi.org/10.1007/s00704-024-04995-7
33. Impacts of combined and separate land cover and climate changes on hydrologic responses of Dhidhessa River basin, Ethiopia G. Wedajo et al. https://doi.org/10.1080/15715124.2022.2101464
34. The future of the Nile: climate change, land use, infrastructure management, and treaty negotiations in a transboundary river basin J. Barnes https://doi.org/10.1002/wcc.449
35. The use of SWAT for hydrological modelling in Africa: Trends and hotspots through scientometric analysis J. Nyika & E. Onyari https://doi.org/10.1016/j.hydrch.2026.100030
36. 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
37. Simulated hydrologic response to projected changes in precipitation and temperature in the Congo River basin N. Aloysius & J. Saiers https://doi.org/10.5194/hess-21-4115-2017
38. Hydrological impacts of land use/cover changes in the Lake Victoria basin Y. Liu et al. https://doi.org/10.1016/j.ecolind.2022.109580
39. Analysis of Effects of Spatial Distributed Soil Properties and Soil Moisture Behavior on Hourly Streamflow Estimate through the Integration of SWAT and LSM S. Lee et al. https://doi.org/10.3390/su16041691
40. Identifying erosion hotspots in Lake Tana Basin from a multisite Soil and Water Assessment Tool validation: Opportunity for land managers H. Lemma et al. https://doi.org/10.1002/ldr.3332
41. Advances in hydrological research in China over the past two decades: Insights from advanced large language model and topic modeling J. Hu et al. https://doi.org/10.1016/j.fmre.2025.05.002
42. Restoring Natural Forests as the Most Efficient Way to Water Quality and Abundance: Case Study from Želivka River Basin J. Seják et al. https://doi.org/10.3390/su14020814
43. Climate Change Induced Precipitation and Temperature Effects on Water Resources: the Case of Borkena Watershed in the Highlands of Wollo, Central Ethiopia F. Abera et al. https://doi.org/10.1007/s41101-020-00084-8
44. Evaluation of stream water quality data generated from MODIS images in modeling total suspended solid emission to a freshwater lake E. Ayana et al. https://doi.org/10.1016/j.scitotenv.2015.03.132
45. Impacts of Climate and Land Use Change on Hydrological Response in Gumara Watershed, Ethiopia A. Teklay et al. https://doi.org/10.1016/j.ecohyd.2020.12.001
46. Building hydroliteracy among stakeholders for effective water benefit sharing in the Andes M. Escobar et al. https://doi.org/10.1080/02508060.2016.1174546
47. Attribution of changes in the water balance of a tropical catchment to land use change using the SWAT model H. Marhaento et al. https://doi.org/10.1002/hyp.11167
48. Modelling the hydrological impact of afforestation in hill country catchments in New Zealand L. Hoang & A. Hughes https://doi.org/10.1016/j.ejrh.2023.101620
49. A Review of SWAT Studies in Southeast Asia: Applications, Challenges and Future Directions M. Tan et al. https://doi.org/10.3390/w11050914
50. Review of Watershed Hydrology and Mathematical Models S. Sarker & O. Leta https://doi.org/10.3390/eng6060129
51. Application of a remote sensing-based soil water balance for the accounting of groundwater abstractions in large irrigation areas J. Garrido-Rubio et al. https://doi.org/10.1007/s00271-019-00629-3
52. Comparison of SWAT and HEC-HMS model performance in simulating catchment runoff J. Sempewo et al. https://doi.org/10.1080/23249676.2022.2156401
53. Using SWAT-VSA to Predict Diffuse Phosphorus Pollution in an Agricultural Catchment with Several Aquifers F. Pezet et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000914
54. Assessment of Surface Irrigation Potential of the Dhidhessa River Basin, Ethiopia M. Dawit et al. https://doi.org/10.3390/hydrology7030068
55. Runoff simulation and projection in the source area of the Yellow River using the SWAT model and SSPs scenarios X. Li et al. https://doi.org/10.3389/fenvs.2022.1012838
56. A New Approach to Modeling Water Balance in Nile River Basin, Africa M. Belete et al. https://doi.org/10.3390/su10030810
57. Assessing the impacts of land use and land cover change on water resources in the Upper Bhima river basin, India D. Samal & S. Gedam https://doi.org/10.1016/j.envc.2021.100251
58. Dynamic monitoring and modeling of the growth-poverty-inequality trilemma in the Nile River Basin with consistent night-time data (2000–2020) Y. Lin et al. https://doi.org/10.1016/j.jag.2022.102903
59. Uncertainty analysis in model parameters regionalization: a case study involving the SWAT model in Mediterranean catchments (Southern France) H. Sellami et al. https://doi.org/10.5194/hess-18-2393-2014
60. Simulation of Non-Point Source Pollution Based on SWAT Model - A Case Study of Ashi River Basin F. Ma et al. https://doi.org/10.4028/www.scientific.net/AMR.1073-1076.1751
61. Water availability trends across water management zones in Uganda C. Onyutha et al. https://doi.org/10.1002/asl.1059
62. Sensitivity analysis and calibration of a semi-distributed HBV model in the data-limited and regulated Nile River Basin M. Elgendy et al. https://doi.org/10.1016/j.ejrh.2025.102713
63. A review of Soil and Water Assessment Tool (SWAT) studies of Mediterranean catchments: Applications, feasibility, and future directions S. Aloui et al. https://doi.org/10.1016/j.jenvman.2022.116799
64. Application of SWAT in Hydrological Simulation of Complex Mountainous River Basin (Part I: Model Development) S. Marahatta et al. https://doi.org/10.3390/w13111546
65. The response of water balance components to land cover change based on hydrologic modeling and partial least squares regression (PLSR) analysis in the Upper Awash Basin A. Shawul et al. https://doi.org/10.1016/j.ejrh.2019.100640
66. Enhancing Rainfall-Runoff Simulation in Data-Scarce Watersheds: Integration of Satellite Observations, Physically-Based Hydrological Modeling, and Machine Learning K. Khosravi et al. https://doi.org/10.1007/s11269-026-04800-2
67. A Review of SWAT Model Application in Africa G. Akoko et al. https://doi.org/10.3390/w13091313
68. Streamflow prediction based on the soil and water assessment tool in the Pajeú river basin, Brazilian semiarid T. Silva et al. https://doi.org/10.1016/j.jsames.2025.105420
69. Effects of water infrastructure development on water balance in a temperate agricultural landscape L. Malmquist & J. Barron https://doi.org/10.1080/02626667.2026.2630113
70. Assessment of the impact of climate change on spatiotemporal variability of blue and green water resources under CMIP3 and CMIP5 models in a highly mountainous watershed I. Fazeli Farsani et al. https://doi.org/10.1007/s00704-018-2474-9
71. Preliminary assessment of small hydropower potential using the Soil and Water Assessment Tool model: A case study of Central Equatoria State, South Sudan A. Ayik et al. https://doi.org/10.1016/j.egyr.2023.01.014
72. A Framework for Selection of a Hydrological Model-SAWT: A Review G. Kumar & G. Dwarakish https://doi.org/10.1007/s11269-026-04600-8
73. Using SWAT hydrological model for river flow sensitivity indices under different land cover, land use and climate scenarios in the Mara Basin in the period between 1983 and 2014 A. Isaac & O. Clifford https://doi.org/10.5897/AJEST2025.3435
74. Comparison of the performance of SWAT, IHACRES and artificial neural networks models in rainfall-runoff simulation (case study: Kan watershed, Iran) M. Ahmadi et al. https://doi.org/10.1016/j.pce.2019.05.002
75. Nile River Basin modelling for water resources management – a literature review R. Digna et al. https://doi.org/10.1080/15715124.2016.1228656
76. Determination of Spatially-Distributed Hydrological Ecosystem Services (HESS) in the Red River Delta Using a Calibrated SWAT Model L. Ha & W. Bastiaanssen https://doi.org/10.3390/su15076247
77. Improving a distributed hydrological model using evapotranspiration‐related boundary conditions as additional constraints in a data‐scarce river basin F. Wambura et al. https://doi.org/10.1002/hyp.11453
78. Evaluation of SWAT performance in modeling nutrients of Awash River basin, Ethiopia A. Keraga et al. https://doi.org/10.1007/s40808-018-0533-y
79. Satellite-based soil moisture enhances the reliability of agro-hydrological modeling in large transboundary river basins M. Eini et al. https://doi.org/10.1016/j.scitotenv.2023.162396
80. How Can We Represent Seasonal Land Use Dynamics in SWAT and SWAT+ Models for African Cultivated Catchments? A. Nkwasa et al. https://doi.org/10.3390/w12061541
81. Modelling hydrological processes under climate change scenarios in the Jemma sub-basin of upper Blue Nile Basin, Ethiopia G. Worku et al. https://doi.org/10.1016/j.crm.2021.100272
82. Effects of surface runoff and infiltration partition methods on hydrological modeling: A comparison of four schemes in two watersheds in the Northeastern US J. Qi et al. https://doi.org/10.1016/j.jhydrol.2019.124415
83. Examining model performances and parameter uncertainty for streamflow and suspended sediment regime simulation: Comparison of three calibration methods R. Ranjan & A. Mishra https://doi.org/10.1016/j.jhydrol.2022.128304
84. Improving daily streamflow simulations for data-scarce watersheds using the coupled SWAT-LSTM approach S. Chen et al. https://doi.org/10.1016/j.jhydrol.2023.129734
85. Advances in water resources research in the Upper Blue Nile basin and the way forward: A review Y. Dile et al. https://doi.org/10.1016/j.jhydrol.2018.03.042
86. Constructing storm hydrographs at ungaged locations in a low-gradient watershed using SWAT calibrated to the NWM M. Shah et al. https://doi.org/10.1080/02626667.2024.2438332
87. Hydrological Modeling of Large river Basins: How Much is Enough? R. Johnston & V. Smakhtin https://doi.org/10.1007/s11269-014-0637-8
88. Potential of rainfall data hybridization in a data-scarce region F. Wambura https://doi.org/10.1016/j.sciaf.2020.e00449
89. Assessment of the Impacts of Proposed Water Resources Development Projects in Baro-Akobo-Sobat Basin on Nile Inflows at High Aswan Dam A. Abdelkader et al. https://doi.org/10.1016/j.ejrh.2023.101335
90. A Union of Dynamic Hydrological Modeling and Satellite Remotely-Sensed Data for Spatiotemporal Assessment of Sediment Yields P. Preetha & A. Al-Hamdan https://doi.org/10.3390/rs14020400
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92. Validation of PSIAC Model for Sediment Yields Estimation in Ungauged Catchments of Tanzania P. Ndomba https://doi.org/10.4236/ijg.2013.47104
93. Improving SWAT model performance in the upper Blue Nile Basin using meteorological data integration and subcatchment discretization E. Polanco et al. https://doi.org/10.5194/hess-21-4907-2017
94. A review of alternative climate products for SWAT modelling: Sources, assessment and future directions M. Tan et al. https://doi.org/10.1016/j.scitotenv.2021.148915
95. Hydrology and Droughts in the Nile: A Review of Key Findings and Implications M. Melesse & Y. Demissie https://doi.org/10.3390/w16172521
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97. Simulation of sediment yield and evaluation of best management practices in Azuari watershed, Upper Blue Nile Basin M. Mequanient & H. Kebede https://doi.org/10.2166/h2oj.2023.159
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99. Modeling sediment concentration and discharge variations in a small Ethiopian watershed with contributions from an unpaved road C. Guzman et al. https://doi.org/10.1515/johh-2016-0051
100. Urban Water Scarcity Assessment Using the Soil and Water Assessment Tool Model and the Water Footprint Concept J. Lee et al. https://doi.org/10.9798/KOSHAM.2025.25.6.473
101. Sediment hotspot identification and evaluation of best management practices under future climate in the Beressa watershed Ethiopia G. Mitiku et al. https://doi.org/10.1088/2515-7620/ae6f81
102. Construction and analysis of a distributed hydrological-water quality model based on basin gradient in the headwater region of the Dong River W. Xiao et al. https://doi.org/10.1007/s40899-025-01269-6
103. Bridging the gap: An interpretable coupled model (SWAT-ELM-SHAP) for blue-green water simulation in data-scarce basins Z. Guo et al. https://doi.org/10.1016/j.agwat.2024.109157
104. An improved SWAT vegetation growth module and its evaluation for four tropical ecosystems T. Alemayehu et al. https://doi.org/10.5194/hess-21-4449-2017
105. Changes in extreme precipitation over Mpologoma catchment in Uganda, East Africa A. Mubialiwo et al. https://doi.org/10.1016/j.heliyon.2023.e14016
106. Mass balance calibration and reservoir representations for large-scale hydrological impact studies using SWAT+ C. Chawanda et al. https://doi.org/10.1007/s10584-020-02924-x
107. Artificial Neural Network and Fuzzy Inference System Models for Forecasting Suspended Sediment and Turbidity in Basins at Different Scales L. Teixeira et al. https://doi.org/10.1007/s11269-020-02647-9
108. Modelling the impact of agroforestry on hydrology of Mara River Basin in East Africa H. Mwangi et al. https://doi.org/10.1002/hyp.10852
109. Two calibration methods for modeling streamflow and suspended sediment with the swat model T. Brighenti et al. https://doi.org/10.1016/j.ecoleng.2018.11.007
110. Improved representation of agricultural land use and crop management for large-scale hydrological impact simulation in Africa using SWAT+ A. Nkwasa et al. https://doi.org/10.5194/hess-26-71-2022
111. Spatiotemporal Dynamics and Driving Mechanisms of Water Ecosystem Service Flows in the Yangtze River Basin Based on SWAT and Machine Learning X. Jiang et al. https://doi.org/10.3390/su18104914
112. Performance of rainfall–runoff models in reproducing hydrological extremes: a case of the River Malaba sub-catchment A. Mubialiwo et al. https://doi.org/10.1007/s42452-021-04514-7
113. Improvement of the ESA CCI Land cover maps for water balance analysis in tropical regions: A case study in the Muda River Basin, Malaysia M. Tan et al. https://doi.org/10.1016/j.ejrh.2021.100837
114. The Effects of Land Use and Climate Change on the Water Yield of a Watershed in Colombia S. Villamizar et al. https://doi.org/10.3390/w11020285
115. Survey on the resolution and accuracy of input data validity for SWAT-based hydrological models N. Rasheed et al. https://doi.org/10.1016/j.heliyon.2024.e38348
116. GRACE and TRMM mission: The role of remote sensing techniques for monitoring spatio-temporal change in total water mass, Nile basin K. Abdelmalik & K. Abdelmohsen https://doi.org/10.1016/j.jafrearsci.2019.103596
117. Comparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT model F. Khorashadi Zadeh et al. https://doi.org/10.1016/j.envsoft.2017.02.001
118. Assessment of erosion, sediment yield, and runoff generating areas in Dirima catchment, upper Blue Nile, Tana Basin, Ethiopia S. Atanaw et al. https://doi.org/10.1007/s40899-024-01167-3
119. Beyond streamflow: Plausible hydrological modelling for the Upper Blue Nile Basin, Ethiopia A. Mohamed et al. https://doi.org/10.1016/j.ejrh.2025.102290
120. Transboundary Nile basin dynamics: Land use change, drivers, and hydrological impacts under socioeconomic pathways A. Omer et al. https://doi.org/10.1016/j.ecolind.2023.110414
121. Two-step hybrid model for monthly runoff prediction utilizing integrated machine learning algorithms and dual signal decompositions S. Wu et al. https://doi.org/10.1016/j.ecoinf.2024.102914
122. Unravelling the Role of Vegetation Dynamics in the Execution of ArcSWAT Hydrological Modeling for Cumulative Streamflow of a Tibetan Watershed S. Hakeem et al. https://doi.org/10.3390/atmos14101530
123. Optimal Operation of Hydropower Reservoirs under Climate Change: The Case of Tekeze Reservoir, Eastern Nile F. Abera et al. https://doi.org/10.3390/w10030273
124. Assessing the suitability of the SWAT model for Moroccan watersheds: a review of applications, challenges, and future prospects L. Ed-daoudy et al. https://doi.org/10.1007/s41207-024-00544-w
125. South African soil, land cover and weather generator file databases for SWAT applications J. le Roux et al. https://doi.org/10.1016/j.ejrh.2025.102387
126. Revisiting storm runoff processes in the upper Blue Nile basin: The Debre Mawi watershed S. Tilahun et al. https://doi.org/10.1016/j.catena.2016.03.029
127. Sustainable Development Goals for the Circular Economy and the Water-Food Nexus: Full Implementation of New Drip Irrigation Technologies in Upper Egypt M. Abdelzaher & M. Awad https://doi.org/10.3390/su142113883
128. Assessing the performance of a physically-based soil moisture module integrated within the Soil and Water Assessment Tool J. Qi et al. https://doi.org/10.1016/j.envsoft.2018.08.024
129. Reconceptualizing HRU Threshold Definition in the Soil and Water Assessment Tool P. Femeena et al. https://doi.org/10.1111/1752-1688.13000
130. Spatiotemporal climatic signals in cereal yield variability and trends in Ethiopia K. Abera et al. https://doi.org/10.1038/s41598-025-23452-7
131. Nested hydrological modeling for flood prediction using CMIP6 inputs around Lake Tana, Ethiopia A. Alaminie et al. https://doi.org/10.1016/j.ejrh.2023.101343
132. Hydrological evaluation of satellite and reanalysis-based rainfall estimates over the Upper Tekeze Basin, Ethiopia K. Reda et al. https://doi.org/10.2166/nh.2022.131
133. Hydrologic response to large-scale land use and cover changes in the Upper Paraná River Basin between 1985 and 2015 S. Abou Rafee et al. https://doi.org/10.1007/s10113-021-01827-6
134. Adapting SWAT hillslope erosion model to predict sediment concentrations and yields in large Basins O. Vigiak et al. https://doi.org/10.1016/j.scitotenv.2015.08.095
135. Simulating sub-daily hydrological process with SWAT: a review T. Brighenti et al. https://doi.org/10.1080/02626667.2019.1642477
136. Determination of spatiotemporal characteristics of agricultural non-point source pollution of river basins using the dynamic time warping distance K. Wang et al. https://doi.org/10.1016/j.jhydrol.2019.124303
137. Informing hydrological models of poorly gauged river catchments – A parameter regionalization and calibration approach C. Kittel et al. https://doi.org/10.1016/j.jhydrol.2020.124999
138. Managing the Nile under climate change: A systematic review of hydrological shifts and adaptive strategies for transboundary water security N. Mena et al. https://doi.org/10.1016/j.ejrh.2026.103678
139. Hydrological evaluation of open-access precipitation and air temperature datasets using SWAT in a poorly gauged basin in Ethiopia Z. Duan et al. https://doi.org/10.1016/j.jhydrol.2018.12.026
140. An Adaptive Process-Wise Fitting Approach for Hydrological Modeling Based on Streamflow and Remote Sensing Evapotranspiration C. Wang et al. https://doi.org/10.3390/w16233446
141. Historical Rainfall and Evapotranspiration Changes over Mpologoma Catchment in Uganda A. Mubialiwo et al. https://doi.org/10.1155/2020/8870935
142. Evaluating CFSR and WATCH Data as Input to SWAT for the Estimation of the Potential Evapotranspiration in a Data-Scarce Eastern-African Catchment T. Alemayehu et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001305