All Stories

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