All Stories

  1. Enhancing Prediction of Equilibrium Scour Depth Around Bridge Piers Using Staking Machine Learning Models
  2. Hydrological modelling using machine and deep learning models across multiple case studies
  3. Risk Assessment of Urban Water and Energy Supply Using Copula Function: A Water–Energy Nexus Approach in an Arid City
  4. Short-Term Drought Forecast across Two Different Climates Using Machine Learning Models
  5. Application of Machine Learning Models for Short-term Drought Analysis Based on Streamflow Drought Index
  6. Hydraulic Conductivity Estimation: Comparison of Empirical Formulas Based on New Laboratory Experiments
  7. Editorial: Assessment of Climate Change Impact on Water Resources Using Machine Learning Algorithms
  8. Assessing the impact of COVID-19 lockdowns on water quality in Anzali Wetland, Iran, using remote sensing data
  9. Effects of climate change on streamflow in the Dez Basin of Iran using the IHACRES model based on the CMIP6 model
  10. Investigating First Flush Occurrence in Agro-Urban Environments in Northern Italy
  11. Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)
  12. Application of multi-gene genetic programming to the prognosis prediction of COVID-19 using routine hematological variables
  13. Bias correction of ERA5-Land temperature data using standalone and ensemble machine learning models: a case of northern Italy
  14. Investigating Uncertainty of Future Predictions of Temperature and Precipitation in The Kerman Plain under Climate Change Impacts
  15. New data-driven equation for estimating total sediment loads in rivers: application of the MHBMO algorithm
  16. Drought analysis using innovative trend analysis and machine learning models for Eastern Black Sea Basin
  17. A Machine Learning-Based Framework for Water Quality Index Estimation in the Southern Bug River
  18. Application of Machine Learning Models to Bridge Afflux Estimation
  19. Implementing Water Balance Model for Stormwater Management: the case of an Infiltration-Based Green Infrastructure Under Shallow Groundwater Levels
  20. Water Quality Index Estimations Using Machine Learning Algorithms: A Case Study of Yazd-Ardakan Plain, Iran
  21. Evaluation of Snowmelt Impacts on Flood Flows Based on Remote Sensing Using SRM Model
  22. Developing ensemble models for estimating sediment loads for different times scales
  23. Multigene genetic programming and its various applications
  24. Machine learning-based downscaling: application of multi-gene genetic programming for downscaling daily temperature at Dogonbadan, Iran, under CMIP6 scenarios
  25. Evaluation of Satellite-Based and Reanalysis Precipitation Datasets with Gauge-Observed Data over Haraz-Gharehsoo Basin, Iran
  26. Urban WEF Nexus: An Approach for the Use of Internal Resources under Climate Change
  27. Discussion of “Reverse Flood Routing in Rivers Using Linear and Nonlinear Muskingum Models” by Meisam Badfar, Reza Barati, Emrah Dogan, and Gokmen Tayfur
  28. Correction to: Analytical and Numerical Solutions to Level Pool Routing Equations for Simplified Shapes of Inflow Hydrographs
  29. Application of machine learning models to side-weir discharge coefficient estimations in trapezoidal and rectangular open channels
  30. Appraisal of multigene genetic programming for estimating optimal properties of lined open channels with circular shapes incorporating constant and variable roughness scenarios
  31. Innovative triangular trend analysis of monthly precipitation at Shiraz Station, Iran
  32. Parameter estimation of a new four-parameter Muskingum flood routing model
  33. Application of MGGP, ANN, MHBMO, GRG, and Linear Regression for Developing Daily Sediment Rating Curves
  34. Applications of innovative polygonal trend analyses to precipitation series of Eastern Black Sea Basin, Turkey
  35. Analytical and Numerical Solutions to Level Pool Routing Equations for Simplified Shapes of Inflow Hydrographs
  36. Optimum Design of Straight Circular Channels Incorporating Constant and Variable Roughness Scenarios: Assessment of Machine Learning Models
  37. Application of Third-Order Schemes to Improve the Convergence of the Hardy Cross Method in Pipe Network Analysis
  38. A Comparative Analysis of Data‐Driven Empirical and Artificial Intelligence Models for Estimating Infiltration Rates
  39. Assessment of Artificial Intelligence Models for Developing Single‐Value and Loop Rating Curves
  40. Assessment of Artificial Intelligence Models for Estimating Lengths of Gradually Varied Flow Profiles
  41. Application of artificial neural networks to predict the COVID-19 outbreak
  42. Assessment of Three Mathematical Prediction Models for Forecasting the COVID-19 Outbreak in Iran and Turkey
  43. An Excel VBA‐based educational module for bed roughness predictors
  44. Assessment of artificial intelligence models for calculating optimum properties of lined channels
  45. Discussion of “Accurate and Efficient Explicit Approximations of the Colebrook Flow Friction Equation Based on the Wright ω-Function” by Dejan Brkić and Pavel Praks, Mathematics 2019, 7, 34; doi:10.3390/math7010034
  46. COVID-19 Outbreak: Application of Multi-gene Genetic Programming to Country-based Prediction Models
  47. Bridge backwater estimation: A Comparison between artificial intelligence models and explicit equations
  48. Comparison of Explicit Relations for Calculating Colebrook Friction Factor in Pipe Network Analysis Using h-based Methods
  49. COVID-19 international outbreak and the need for a suitable estimation model: A second-order polynomial equation with constant coefficients based on imported infected cases seems inadequate
  50. One Dimensional Hydraulic Flow Routing Incorporating a Variable Grain Roughness Coefficient
  51. Revisiting the Estimation of Colebrook Friction Factor: A Comparison between Artificial Intelligence Models and C-W based Explicit Equations
  52. Development of a New Flow-dependent Scheme for Calculating Grain and Form Roughness Coefficients
  53. Novel Grain and Form Roughness Estimator Scheme Incorporating Artificial Intelligence Models
  54. Application of RBF-DQ Method to Time-Dependent Analysis of Unsaturated Seepage
  55. Developing a New Accuracy-Improved Model for Estimating Scour Depth Around Piers using a Hybrid Method
  56. Closure to “Assessment of Modified Honey Bee Mating Optimization for Parameter Estimation of Nonlinear Muskingum Models” by Majid Niazkar and Seied Hosein Afzali
  57. Deriving Explicit Equations for Optimum Design of a Circular Channel Incorporating a Variable Roughness
  58. Application of new hybrid method in developing a new semicircular-weir discharge model
  59. Analysis of water distribution networks using MATLAB and Excel spreadsheet: Q-based methods
  60. New nonlinear variable-parameter Muskingum models
  61. Analysis of water distribution networks using MATLAB and Excel spreadsheet: h-based methods
  62. Flood routing
  63. Application of New Hybrid Optimization Technique for Parameter Estimation of New Improved Version of Muskingum Model
  64. Steel frame optimal design using MHBMO algorithm
  65. EXCEL
  66. Assessment of Modified Honey Bee Mating Optimization for Parameter Estimation of Nonlinear Muskingum Models
  67. Optimum Design of Lined Channel Sections