1940 citations as recorded by crossref.

1. Modelling soil erosion in a Mediterranean watershed: Comparison between SWAT and AnnAGNPS models O. Abdelwahab et al. 10.1016/j.envres.2018.06.029
2. Application of the SWAT model to assess climate and land use/cover change impacts on water balance components of the Kabul River Basin, Afghanistan J. Ougahi et al. 10.2166/wcc.2022.261
3. Impact of Climate Change on Daily Streamflow and Its Extreme Values in Pacific Island Watersheds O. Leta et al. 10.3390/su10062057
4. The future water vulnerability assessment of the Seoul metropolitan area using a hybrid framework composed of physically-based and deep-learning-based hydrologic models Y. Kim et al. 10.1007/s00477-022-02366-0
5. Can We Calibrate a Daily Time-Step Hydrological Model Using Monthly Time-Step Discharge Data? S. Adla et al. 10.3390/w11091750
6. Integrated Water Quality Management Model for the Rural Transboundary River Basin—A Case Study of the Sutla/Sotla River G. Ćosić-Flajsig et al. 10.3390/w13182569
7. Meteorological and Hydrological Drought Assessment for Dong Nai River Basin, Vietnam under Climate Change V. Linh et al. 10.1007/s11036-021-01757-x
8. Revisiting linear regression to test agreement in continuous predicted-observed datasets A. Correndo et al. 10.1016/j.agsy.2021.103194
9. Effects of initial abstraction ratios in SCS-CN method on runoff prediction of green roofs in a semi-arid region W. Liu et al. 10.1016/j.ufug.2021.127331
10. Implementation of robust statistics in the calibration, verification and validation step of model evaluation to better reflect processes concerning total phosphorus load occurring in the catchment M. Ostojski et al. 10.1016/j.ecolmodel.2016.04.004
11. Assessing current and future available resources to supply urban water demands using a high-resolution SWAT model coupled with recurrent neural networks and validated through the SIMPA model in karstic Mediterranean environments A. Jodar-Abellan et al. 10.1007/s11356-024-34404-5
12. Estimation of Nonpoint Source Nitrate Concentrations in Indiana Rivers Based on Agricultural Drainage in the Watershed Y. Jiang et al. 10.1111/jawr.12216
13. Parsimonious modeling of hydrologic responses in engineered watersheds: Structural heterogeneity versus functional homogeneity N. Basu et al. 10.1029/2009WR007803
14. Application of the Artificial Neural Network model for prediction of monthly Standardized Precipitation and Evapotranspiration Index using hydrometeorological parameters and climate indices in eastern Australia R. Deo & M. Şahin 10.1016/j.atmosres.2015.03.018
15. Effects of LID Implementation on Hydrological Processes in an Urban Catchment under Consolidation in Brazil F. Zanandrea & A. Silveira 10.1061/(ASCE)EE.1943-7870.0001417
16. Signatures of regular black holes from the quasar continuum spectrum I. Banerjee 10.1140/epjc/s10052-023-11320-5
17. Simulation of Past Changes in the Austrian Snow Cover 1948–2009 T. Marke et al. 10.1175/JHM-D-17-0245.1
18. A refined regional modeling approach for the Corn Belt – Experiences and recommendations for large-scale integrated modeling Y. Panagopoulos et al. 10.1016/j.jhydrol.2015.02.039
19. Calibração do Storm Water Management Model (SWMM) utilizando algoritmos evolucionários multiobjetivo K. Formiga et al. 10.1590/s1413-41522016131862
20. Use of Radarsat-2 and Landsat TM Images for Spatial Parameterization of Manning’s Roughness Coefficient in Hydraulic Modeling J. Mtamba et al. 10.3390/rs70100836
21. Determining an effective short term COVID-19 prediction model in ASEAN countries O. Sharif et al. 10.1038/s41598-022-08486-5
22. Modeling blue and green water availability in Africa J. Schuol et al. 10.1029/2007WR006609
23. The distributed model intercomparison project – Phase 2: Experiment design and summary results of the western basin experiments M. Smith et al. 10.1016/j.jhydrol.2013.08.040
24. Subseasonal hydrometeorological ensemble predictions in small- and medium-sized mountainous catchments: benefits of the NWP approach S. Monhart et al. 10.5194/hess-23-493-2019
25. Enhanced SCS-CN models for long-duration hydrologic simulations across various time scales H. Aragaw 10.1007/s40808-025-02374-3
26. Ideal point error for model assessment in data-driven river flow forecasting C. Dawson et al. 10.5194/hess-16-3049-2012
27. Modeling rainfall interception components of forests: Extending drip equations N. José 10.1016/j.agrformet.2019.107704
28. Possibilities of sewer model simplifications A. Fischer et al. 10.1080/15730620903038453
29. Assessment of evaluation methods using infiltration data measured in heterogeneous mountain soils L. Jačka et al. 10.1016/j.geoderma.2016.04.023
30. Comparison between the USLE, the USLE-M and replicate plots to model rainfall erosion on bare fallow areas P. Kinnell 10.1016/j.catena.2016.05.017
31. Real-time prediction of river chloride concentration using ensemble learning Q. Zhang et al. 10.1016/j.envpol.2021.118116
32. Using JABOWA-3 for forest growth and yield predictions under diverse forest conditions of Nova Scotia, Canada M. Ashraf et al. 10.5558/tfc2012-137
33. Effects of hydrologic conditions on SWAT model performance and parameter sensitivity for a small, mixed land use catchment in New Zealand W. Me et al. 10.5194/hess-19-4127-2015
34. Investigating human-induced threat to hydrological regime of Lake Chilwa Basin, Malawi O. Kambombe et al. 10.1007/s13201-023-01965-8
35. Modeling daily soil temperature over diverse climate conditions in Iran—a comparison of multiple linear regression and support vector regression techniques M. Delbari et al. 10.1007/s00704-018-2370-3
36. A watershed scale assessment of phosphorus remediation strategies for achieving water quality restoration targets in the western Everglades Y. Khare et al. 10.1016/j.ecoleng.2019.105663
37. Assessment of CFSR and CMADS Weather Data for Capturing Extreme Hydrologic Events in the Fuhe River Basin of the Poyang Lake J. Lu et al. 10.1111/1752-1688.12866
38. Modeling agricultural land drainage under spring snowmelt conditions with DRAINMOD J. Morrison et al. 10.1139/cjce-2013-0416
39. Developing an Agent-Based Model of Dual-Flush Toilet Adoption E. Ramsey & E. Berglund 10.1061/(ASCE)WR.1943-5452.0001454
40. Modeling the impacts of climate change on mass balance and discharge of Eklutna Glacier, Alaska, 1985–2019 J. Geck et al. 10.1017/jog.2021.41
41. Derivation of 2D Velocity Distribution in Watercourses Using Entropy G. Marini et al. 10.1061/(ASCE)HE.1943-5584.0001492
42. HUP‐BMA: An Integration of Hydrologic Uncertainty Processor and Bayesian Model Averaging for Streamflow Forecasting P. Darbandsari & P. Coulibaly 10.1029/2020WR029433
43. NDMI-Derived Field-Scale Soil Moisture Prediction Using ERA5 and LSTM for Precision Agriculture E. Koohikeradeh et al. 10.3390/su17062399
44. Hydrologic Modeling of Flow through Sinkholes Located in Streambeds of Cane Run Stream, Kentucky B. Palanisamy & S. Workman 10.1061/(ASCE)HE.1943-5584.0001060
45. Impacts of Climate Change and Variability on Precipitation and Maximum Flows in Devil’s Creek, Tacna, Peru E. Pino-Vargas et al. 10.3390/hydrology9010010
46. Applicability of TOPMODEL in the mountainous catchments in the upper Nysa Kłodzka river basin (SW Poland) J. Jeziorska & T. Niedzielski 10.1007/s11600-018-0121-6
47. Evaluation of widespread flooding of the Karkheh Basin in Iran using SWAT model and GLDAS database V. Kuchak et al. 10.1007/s11069-023-05881-7
48. Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors H. Sanikhani et al. 10.1016/j.compag.2018.07.008
49. Assessing the spatio-temporal impact of landuse landcover change on water yield dynamics of rapidly urbanizing Kathmandu valley watershed of Nepal S. Acharya et al. 10.1016/j.ejrh.2023.101562
50. Assessing the effectiveness of split fertilization and cover crop cultivation in order to conserve soil and water resources and improve crop productivity G. Maharjan et al. 10.1016/j.agwat.2015.10.005
51. Assessment of several nonlinear methods in forecasting suspended sediment concentration in streams M. Zounemat-Kermani 10.2166/nh.2016.219
52. Estimating the reliability of a rainwater catchment system using the output data of general circulation models for the future period (case study: Birjand City, Iran) A. Jafarzadeh et al. 10.1007/s00704-018-2714-z
53. Soil Salinity Characterization Using Polarimetric InSAR Coherence: Case Studies in Tunisia and Morocco M. Barbouchi et al. 10.1109/JSTARS.2014.2333535
54. Parameterization and quantification of recharge in crystalline fractured bedrocks in Galicia-Costa (NW Spain) J. Raposo et al. 10.5194/hess-16-1667-2012
55. Rainfall-runoff modelling using river-stage time series in the absence of reliable discharge information: a case study in the semi-arid Mara River basin P. Hulsman et al. 10.5194/hess-22-5081-2018
56. Comparing calibration strategies of a conceptual snow hydrology model and their impact on model performance and parameter identifiability S. Nemri & C. Kinnard 10.1016/j.jhydrol.2019.124474
57. Insights into sensitivity analysis of Earth and environmental systems models: On the impact of parameter perturbation scale A. Haghnegahdar & S. Razavi 10.1016/j.envsoft.2017.03.031
58. Application of multi-model ensemble averaging techniques for groundwater simulation: synthetic and real-world case studies A. Jafarzadeh et al. 10.2166/hydro.2021.058
59. Reducing location error of legacy soil profiles leads to improvement in digital soil mapping G. Shi et al. 10.1016/j.geoderma.2024.116912
60. Probabilistic Forecasts of Snow Water Equivalent and Runoff in Mountainous Areas* S. Jörg-Hess et al. 10.1175/JHM-D-14-0193.1
61. Combining split-sample testing and hidden Markov modelling to assess the robustness of hydrological models E. Guilpart et al. 10.5194/hess-25-4611-2021
62. Research for forecasting the effect of various meteorological-dynamic conditions on the possible spreading of Cs-137 radioactive substances in case a level 7 incident occurs from Fengcheng nuclear power plant (China) H. Nguyen Minh et al. 10.15625/1859-3097/15964
63. Comments on “Predicting permeability changes with injecting CO2 in coal seams during CO2 geological sequestration: A comparative study among six SVM-based hybrid models” Science of the Total Environment, 705, 135941 (2020) R. Adnan et al. 10.1016/j.scitotenv.2020.139486
64. Evaluating the transferability of measurements from simple constructed non weighable gravitation lysimeters to predict the water regime on field scale—a case study D. Bednorz et al. 10.1002/jpln.201600105
65. Performance evaluation of global hydrological models in six large Pan-Arctic watersheds A. Gädeke et al. 10.1007/s10584-020-02892-2
66. Ant Colony Based Artificial Neural Network for Predicting Spatial and Temporal Variation in Groundwater Quality R. Bhavya et al. 10.3390/w15122222
67. Model-based Scenario Analysis of the Impact of Remediation Measures on Metal Leaching from Soils Contaminated by Historic Smelter Emissions I. Joris et al. 10.2134/jeq2013.07.0287
68. Calibration of hydrological models for ecologically relevant streamflow predictions: a trade-off between fitting well to data and estimating consistent parameter sets? T. Hallouin et al. 10.5194/hess-24-1031-2020
69. Using gridded rainfall products in simulating streamflow in a tropical catchment – A case study of the Srepok River Catchment, Vietnam V. Thom et al. 10.1515/johh-2016-0047
70. Impact of CO 2 storage flux sampling uncertainty on net ecosystem exchange measured by eddy covariance G. Nicolini et al. 10.1016/j.agrformet.2017.09.025
71. Evaluation of NASA land information system in prediection stream runoff: case study of Atbara and Blue Nile Sub-Basins R. Ali & S. Zahran 10.1007/s40808-022-01663-5
72. Prolonged and Severe Drought in the Most Dammed Tributaries of the Lower Mekong Basin K. Chann et al. 10.3390/su142316254
73. Development of a Multi-Scale Groundwater Drought Prediction Model Using Deep Learning and Hydrometeorological Data D. Kang & K. Byun 10.3390/w16142036
74. Gridded Datasets for Comparative Analysis of Rainfall Patterns Over Eco‐Climatic Zones of Narok County, Kenya O. Ombogo et al. 10.1155/adme/4895679
75. Flood peak estimation for the keureuto watershed using the hydrological modeling system HEC-HMS B. Rama et al. 10.1088/1755-1315/1311/1/012040
76. Value of different precipitation data for flood prediction in an alpine catchment: A Bayesian approach A. Sikorska & J. Seibert 10.1016/j.jhydrol.2016.06.031
77. Use of an entropy‐based metric in multiobjective calibration to improve model performance I. Pechlivanidis et al. 10.1002/2013WR014537
78. Applications of Linked and Nonlinked Complex Models for TMDL Development: Approaches and Challenges Y. Mohamoud & H. Zhang 10.1061/(ASCE)HE.1943-5584.0001721
79. Impacts of Historic Climate Variability on Seasonal Soil Frost in the Midwestern United States T. Sinha et al. 10.1175/2009JHM1141.1
80. Incorporating Streamflow Forecasts with Aggregate Drought Indices for the Management of Water Supply K. Booras et al. 10.1061/(ASCE)WR.1943-5452.0000849
81. Hybrid PSO enhanced ANN model and central composite design for modelling and optimization of Low-Intensity magnetic separation of hematite M. Ebrahimi et al. 10.1016/j.mineng.2021.106987
82. Implementing Best Management Practices in Complex Agricultural Watersheds: Insights from High-Resolution Nitrogen Load Dynamics Analysis W. Shen et al. 10.3390/w17060821
83. Transfer Entropy as a Tool for Hydrodynamic Model Validation A. Sendrowski et al. 10.3390/e20010058
84. Interaction between soil moisture and nitrogen dynamics in the root zone of a pear (Pyrus communis ‘Conference’) orchard J. Verellen et al. 10.17660/ActaHortic.2022.1333.44
85. Three-stage hybrid modeling for real-time streamflow prediction in data-scarce regions A. Ali et al. 10.1016/j.ejrh.2025.102337
86. Optimal Control of Total Chlorine and Free Ammonia Levels in a Water Transmission Pipeline Using Artificial Neural Networks and Genetic Algorithms W. Wu et al. 10.1061/(ASCE)WR.1943-5452.0000486
87. Comparison of alternative soil particle-size distribution models and their correlation with soil physical attributes F. Afrasiabi et al. 10.2478/johh-2018-0009
88. Comparing model complexity for glacio-hydrological simulation in the data-scarce Peruvian Andes R. Muñoz et al. 10.1016/j.ejrh.2021.100932
89. Assessment of hydropower potential using spatial technology and SWAT modelling in the Mat River, southern Mizoram, India A. Pandey et al. 10.1080/02626667.2014.943669
90. A Comparative Study of Linear Stochastic with Nonlinear Daily River Discharge Forecast Models H. Bonakdari et al. 10.1007/s11269-020-02644-y
91. Comparative Assessment of SWAT Model Performance in two Distinct Catchments under Various DEM Scenarios of Varying Resolution, Sources and Resampling Methods M. Goyal et al. 10.1007/s11269-017-1840-1
92. Robust optimization of water infrastructure planning under deep uncertainty using metamodels E. Beh et al. 10.1016/j.envsoft.2017.03.013
93. Utilizing sequential modeling in collaborative method for flood forecasting W. Thaisiam et al. 10.1016/j.jhydrol.2024.131290
94. Spatiotemporal variability of streamflow under current and projected climate scenarios of Andit Tid watershed, central highland of Ethiopia A. Woldemariam et al. 10.1007/s43621-024-00440-x
95. The Applicability of Time-Integrated Unit Stream Power for Estimating Bridge Pier Scour Using Noncontact Methods in a Gravel-Bed River L. Hempel et al. 10.3390/rs14091978
96. Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration H. Lamane et al. 10.1016/j.ijsrc.2024.10.002
97. Streamflow Responses to Climate Change: Analysis of Hydrologic Indicators in a New York City Water Supply Watershed S. Pradhanang et al. 10.1111/jawr.12086
98. Analysis of Methods to Estimate Spring Flows in a Karst Aquifer N. Sepúlveda 10.1111/j.1745-6584.2008.00498.x
99. Efficient modelling of compact microstrip antenna using machine learning K. Sharma & G. Pandey 10.1016/j.aeue.2021.153739
100. Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms M. Al-Musaylh et al. 10.3390/en13092307
101. Hydrologic Impact of Climate Change in the Jaguari River in the Cantareira Reservoir System L. Domingues et al. 10.3390/w14081286
102. Simulation of Runoff and Sediment Yield for a Kaneri Watershed Using SWAT Model V. Swami & S. Kulkarni 10.4236/gep.2016.41001
103. Flow alterations due a constructed reservoir in the Menik Ganga basin, Sri Lanka S. Hemakumara et al. 10.1007/s43832-023-00049-7
104. Using Machine Learning-Based Algorithms to Analyze Erosion Rates of a Watershed in Northern Taiwan K. Nguyen et al. 10.3390/su12052022
105. A non-cooperative meta-modeling game for automated third-party calibrating, validating and falsifying constitutive laws with parallelized adversarial attacks K. Wang et al. 10.1016/j.cma.2020.113514
106. Modelling Furrow Irrigation-Induced Erosion on a Sandy Loam Soil in Samaru, Northern Nigeria J. Dibal et al. 10.1155/2014/982136
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109. Simulating spatiotemporal variability of blue and green water resources availability with uncertainty analysis D. Zuo et al. 10.1002/hyp.10307
110. Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity A. Masrur Ahmed et al. 10.1016/j.jhydrol.2021.126350
111. Evapotranspiration Response to Climate Change in Semi-Arid Areas: Using Random Forest as Multi-Model Ensemble Method M. Ruiz-Aĺvarez et al. 10.3390/w13020222
112. Evaluation of hydrological models on small mountainous catchments: impact of the meteorological forcings G. Evin et al. 10.5194/hess-28-261-2024
113. A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning Z. Xiang et al. 10.1029/2019WR025326
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115. Using Sensor Data to Dynamically Map Large‐Scale Models to Site‐Scale Forecasts: A Case Study Using the National Water Model K. Fries & B. Kerkez 10.1029/2017WR022498
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117. Improving the simulations of the hydrological model in the karst catchment by integrating the conceptual model with machine learning models C. Sezen & M. Šraj 10.1016/j.scitotenv.2024.171684
118. Runoff Losses on Urban Surfaces during Frequent Rainfall Events: A Review of Observations and Modeling Attempts M. Rammal & E. Berthier 10.3390/w12102777
119. Mathematical simulation of surfactant flushing process to remediate diesel contaminated sand column G. Asadollahfardi et al. 10.12989/aer.2016.5.4.213
120. Deep learning–based neural networks for day-ahead power load probability density forecasting Y. Zhou et al. 10.1007/s11356-022-23305-0
121. Disaggregated monthly SWAT+ model versus daily SWAT+ model for estimating environmental flows in Peninsular Spain G. Castellanos-Osorio et al. 10.1016/j.jhydrol.2023.129837
122. Exploring and Modeling the Short-Term Influence of Soil Properties and Covers on Hydrology of Mediterranean Forests after Prescribed Fire and Mulching D. Zema et al. 10.3390/hydrology9020021
123. Climate change under CMIP5-RCP scenarios in Ethiopia: The Bale mountains ecoregion A. Serur 10.1007/s11629-021-7206-4
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125. A review of alternative climate products for SWAT modelling: Sources, assessment and future directions M. Tan et al. 10.1016/j.scitotenv.2021.148915
126. A hydrological investigation using a lumped water balance model: the Aison River Basin case (Greece) D. Karpouzos et al. 10.1111/j.1747-6593.2010.00222.x
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130. Two-Way Calibration-Validation of SWAT Model for a Small Prairie Watershed with Short Observed Record M. Rahbeh et al. 10.4296/cwrj3603884
131. Efficacy of Rainfall-Runoff Models in Loose Coupling Spacial Decision Support Systems Modelbase S. Neto et al. 10.1007/s11269-018-2086-2
132. Multi-decadal surface ozone trends at globally distributed remote locations O. Cooper et al. 10.1525/elementa.420
133. Suspended sediment load modeling using Hydro-Climate variables and Machine learning S. Aldin Shojaeezadeh et al. 10.1016/j.jhydrol.2024.130948
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135. A dynamic contaminant fate model of organic compound: A case study of Nitrobenzene pollution in Songhua River, China C. Wang et al. 10.1016/j.chemosphere.2012.02.065
136. Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time-Varying Filtered Empirical Mode Decomposition Approach M. Jamei et al. 10.1007/s11269-022-03270-6
137. Climate change impacts on spatial patterns in drought risk in the Willamette River Basin, Oregon, USA I. Jung & H. Chang 10.1007/s00704-011-0531-8
138. The value of commercial fish size distribution recorded at haul by haul compared to trip by trip K. Plet-Hansen et al. 10.1093/icesjms/fsaa141
139. Investigating the utility of satellite-based precipitation products for simulating extreme discharge events: an exhaustive model-driven approach for a tropical river basin in India D. Dayal et al. 10.1007/s10661-024-12746-4
140. Interpreting pore-water pressure changes induced by water table fluctuations and mechanical loading due to soil moisture changes C. Anochikwa et al. 10.1139/t11-106
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142. Study of sediment movement in an irrigated maize–cotton system combining rainfall simulations, sediment tracers and soil erosion models G. Guzmán et al. 10.1016/j.jhydrol.2015.02.033
143. Predicting Particulate Matter (PM2.5) Concentrations in the Air of Shahr‐e Ray City, Iran, by Using an Artificial Neural Network G. Asadollahfardi et al. 10.1002/tqem.21464
144. A Water Balance Budget for Bung Boraphet—A Flood Plain Wetland-Reservoir Complex in Thailand N. Sriwongsitanon et al. 10.3390/w1010054
145. Response of the river discharge in the Tocantins River Basin, Brazil, to environmental changes and the associated effects on the energy potential R. Von Randow et al. 10.1007/s10113-018-1396-5
146. Impact of land surface model schemes in snow-dominated arid and semiarid watersheds using the WRF-hydro modeling systems W. Hussainzada & H. Lee 10.3934/geosci.2024018
147. Sensitivity exploration of water balance in scenarios of future changes: a case study in an Andean regulated river basin A. Avilés et al. 10.1007/s00704-020-03219-y
148. Calibration of distributed hydrological models considering the heterogeneity of the parameters across the basin: a case study of SWAT model P. Athira & K. Sudheer 10.1007/s12665-021-09434-8
149. Drought prediction using a wavelet based approach to model the temporal consequences of different types of droughts R. Maity et al. 10.1016/j.jhydrol.2016.05.042
150. Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach K. Khosravi et al. 10.1016/j.jhydrol.2022.127963
151. Hierarchical prediction of soil water content time series F. Leij et al. 10.1016/j.catena.2021.105841
152. Study on the Improvement of the Application of Complete Ensemble Empirical Mode Decomposition with Adaptive Noise in Hydrology Based on RBFNN Data Extension Technology J. Zhang et al. 10.32604/cmes.2021.012686
153. Multi-objective calibration of Tank model using multiple genetic algorithms and stopping criteria J. Gutierrez et al. 10.1590/2318-0331.272220220046
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155. Scenario-based Impact Assessment of Land Use/Cover and Climate Changes on Water Resources and Demand: A Case Study in the Srepok River Basin, Vietnam—Cambodia T. Ty et al. 10.1007/s11269-011-9964-1
156. Simulation of Crop Growth and Water-Saving Irrigation Scenarios for Lettuce: A Monsoon-Climate Case Study in Kampong Chhnang, Cambodia P. Ket et al. 10.3390/w10050666
157. Evaluating the flow and sediment effects of gully land consolidation on the Loess Plateau, China Y. Kang et al. 10.1016/j.jhydrol.2021.126535
158. A Comparison of Continuous and Event-Based Rainfall–Runoff (RR) Modelling Using EPA-SWMM S. Hossain et al. 10.3390/w11030611
159. A new nonparametric copula framework for the joint analysis of river water temperature and low flow characteristics for aquatic habitat risk assessment S. Latif et al. 10.1016/j.jhydrol.2024.131079
160. Agricultural Water Productivity-Based Hydro-Economic Modeling for Optimal Crop Pattern and Water Resources Planning in the Zarrine River Basin, Iran, in the Wake of Climate Change F. Emami & M. Koch 10.3390/su10113953
161. The Response of the HydroGeoSphere Model to Alternative Spatial Precipitation Simulation Methods H. Lü et al. 10.3390/w13141891
162. Survey on the resolution and accuracy of input data validity for SWAT-based hydrological models N. Rasheed et al. 10.1016/j.heliyon.2024.e38348
163. Calibration and Evaluation of the SIMPLE Crop Growth Model Applied to the Common Bean under Irrigation M. Servín-Palestina et al. 10.3390/agronomy14050917
164. Spatial and Temporal Variability in Hydrological Responses of the Upper Blue Nile basin, Ethiopia T. Lemann et al. 10.3390/w11010021
165. Modelling blue and green water resources availability in Iran M. Faramarzi et al. 10.1002/hyp.7160
166. Development of an integrated flood hazard assessment model for a complex river system: a case study of the Mun River Basin, Thailand S. Prabnakorn et al. 10.1007/s40808-019-00634-7
167. Generating design flood hydrographs by parameterizing the characteristic flood hydrograph at a site using only flow data M. Goswami 10.1080/02626667.2020.1843656
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170. Application of a New Hybrid Deep Learning Model That Considers Temporal and Feature Dependencies in Rainfall–Runoff Simulation F. Zhou et al. 10.3390/rs15051395
171. Application of a Sampling Based on the Combined Objectives of Parameter Identification and Uncertainty Analysis of an Urban Rainfall-Runoff Model D. Zhao et al. 10.1061/(ASCE)IR.1943-4774.0000522
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