All Stories

  1. Hybrid Approach for Flood Forecasting in Urban Innovation Districts (HIDS–Unicamp): Integrating PCSWMM, Neural Networks, and Explainable Artificial Intelligence
  2. Improving Soil Moisture and Evapotranspiration Simulations in an Intensively Irrigated Arid Region Using Noah-MP
  3. Integrating Machine Learning and Large Language Models for Next-Generation Water & Environmental Intelligence
  4. Machine Learning–Based Attribution of Hydroclimatic Extremes and Agricultural Yield Risk in the Brahmaputra Basin, Assam, India under CMIP6 Scenarios
  5. Spatiotemporal dynamics of pedestrian flood hazard in urban areas: beyond peak inundation maps
  6. Toward trustworthy AI in systematic reviews: a statistically validated AI-augmented framework for analysing knowledge transfer strategies in urban water management
  7. Unsupervised Machine Learning to Quantify Climate-Model Uncertainty for Resilient Water Resources Planning
  8. Use of Machine Learning techniques to identify scenarios for implementing Nature-based Solutions that best prevent flooding
  9. Assessing the Impact of Spatiotemporal Representation on Agricultural Water Accounting Using Satellite Data
  10. Spatiotemporal changes of drought area as input for a machine-learning approach for crop yield prediction
  11. Spatiotemporal urban flood expansion and propagation by the percentage of nodes in flood assessment (PNFA)
  12. Combining data augmentation and hybrid modeling approaches for deep learning-based monthly streamflow forecasting
  13. Diagnosing Spatiotemporal Urban Flood Responses Under Shift Rainfall Variabilities
  14. Analyzing the influence of spatial rainfall variability on reservoir outflow through interpretable data-driven modelling: an application in Tropical mountain basin
  15. Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA
  16. Enhancing Reservoir Management for Sustainable Hydropower Generation: A Machine Learning-Driven Approach in Response to Increasing Extreme Events in Ecuador
  17. Spatial-temporal analysis of the impact of deforestation on the hydrological variability of the Amazon basin.
  18. Understanding the Amazon's Atmospheric Hydrology: Insights from ERA5 Data and Directional Transport Analysis 
  19. Machine Learning Analysis of Precipitation as Trigger for Shallow Landslides: Ometepe Island, Nicaragua
  20. Coupling Deep Learning and Physically Based Hydrological Models for Monthly Streamflow Predictions
  21. Development of a hazard risk map for assessing pedestrian risk in urban flash floods: A case study in Cúcuta, Colombia
  22. Improved drought forecasting in Kazakhstan using machine and deep learning: a non-contiguous drought analysis approach
  23. Assessing Cavitation Erosion on Solid Surfaces Using a Cavitation Jet Apparatus
  24. Multivariate regression trees as an “explainable machine learning” approach to explore relationships between hydroclimatic characteristics and agricultural and hydrological drought severity: case of study Cesar River basin
  25. Locating Multiple Leaks in Water Distribution Networks Combining Physically Based and Data-Driven Models and High-Performance Computing
  26. Evaluating the impact of ponds on flood and drought mitigation in the Bagmati River Basin, Nepal
  27. A Spatiotemporal hydrological response of extreme urban floods in Ha Noi – Vietnam.
  28. Comparative performance of recently introduced Deep Learning models for Rainfall-Runoff Modelling
  29. Deep Learning for Probabilistic Forecasts Using Features from Rainfall Objects:  A Case Study in the Amazon Basin
  30. Evaluation of regional Rainfall-Runoff modelling using convolutional long short-term memory:  CAMELS dataset in US as a case study.
  31. Feature engineering strategies based on GIS and the SCS-CN method for improving hydrological forecasting in a complex mountain basin
  32. Multivariate regression tree approach to evaluate relationship between hydroclimatic characteristics and agricultural and hydrological droughts
  33. Spatio-temporal analysis of extreme hydrological events in a joint framework and its relationship with land-use land-cover change
  34. Spatiotemporal Identification and Characterization of Extreme Hydrometeorological Events Patterns in the Magdalena River Basin
  35. Sub-seasonal daily precipitation forecasting based on Long Short-Term Memory (LSTM) models
  36. Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast
  37. Multivariate regression trees as an ‘explainable machine learning’ approach to exploring relationships between hydroclimatic characteristics and agricultural and hydrological drought severity
  38. Model-Based Assessment of Preventive Drought Management Measures’ Effect on Droughts Severity
  39. Machine learning models to predict nitrate concentration in a river basin
  40. Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast
  41. Wet-environment Evapotranspiration and Precipitation Standardized Index (WEPSI) for drought assessment and monitoring
  42. Multi-Objective Optimization of Reservoir Operation using Machine Learning Models. Case study: Hatillo Reservoir in the Dominican Republic
  43. Spatiotemporal changes of drought area as input for a machine-learning approach for crop yield prediction
  44. AI-enhanced drought forecasting: a case study in the Netherlands
  45. Analysis of spatiotemporal rainfall objects in hydrological ensemble forecast predictions 
  46. Bidimensional Spatiotemporal analysis of local atmospherically fluxes and regional moisture budgets in river basins
  47. Exploratory analysis of Sub-seasonal to Seasonal precipitation forecasting using Machine Learning Techniques
  48. Machine Learning Model to Reproduce Nature-Based Solutions for Flood and Drought Mitigation
  49. Machine Learning Techniques for Spatiotemporal drought patterns forecasting
  50. A framework for smart assessment of river health using machine learning
  51. Optimization of preventive drought management measures to alleviate the severity of agricultural and hydrological droughts
  52. Estimation of Hydropower Potential Using Bayesian and Stochastic Approaches for Streamflow Simulation and Accounting for the Intermediate Storage Retention
  53. Machine-learning approach to crop yield prediction with the spatial extent of drought
  54. Fuzzy-Committees of Conceptual distributed Models
  55. Use of near-real-time satellite precipitation data and machine learning to improve extreme runoff modeling
  56. Three-dimensional clustering in the characterization of spatiotemporal drought dynamics: cluster size filter and drought indicator threshold optimization
  57. Fuzzy-Committees of Conceptual distributed Model
  58. Three-dimensional clustering in the characterization of spatiotemporal drought dynamics: cluster size filter and drought indicator threshold optimization
  59. Wet-environment Evapotranspiration and Precipitation Standardized Index (WEPSI) for drought assessment and monitoring
  60. Wet-environment Evapotranspiration and Precipitation Standardized Index (WEPSI) for drought assessment and monitoring
  61. Spatio-Temporal Hydrological Model Structure and Parametrization Analysis
  62. Spatiotemporal Drought Risk Assessment Considering Resilience and Heterogeneous Vulnerability Factors: Lempa Transboundary River Basin in The Central American Dry Corridor
  63. A Machine Learning Sustainable Development Goals Model for Water Resources Serious Gaming. Case Study:  Combeima River, Colombia.
  64. Active Moving Area Identification using Machine Learning. Case study: Ometepe Island, Nicaragua
  65. Application of tree modeling techniques using Weka for the analysis of records of an erosion experiment on cohesive soils carried out by the Federal Highway Administration
  66. Evaluation of agricultural drought changes due to implementation of preventive drought management measures. Study case Torola basin
  67. Identification of Synchronicity in Deterministic Chaotic Attractors for the Downscaling Process in the Bogotá River Basin
  68. Natural Language Processing In Integrated Water Resources Management. Case Study: Three Bolivian River Basins
  69. Spatiotemporal and Synchronous Monitoring of Drought in the Dry Corridor of Central America
  70. An integrated method to study and plan aquifer recharge
  71. Impact of the Mean Areal Rainfall Calculation on a Modular Rainfall-Runoff Model
  72. ST-CORAbico: A Spatiotemporal Object-Based Bias Correction Method for Storm Prediction Detected by Satellite
  73. Sensitivity analysis of data-driven groundwater forecasts to hydroclimatic controls in irrigated croplands
  74. Determination Of The Optimal Guide Curve For A Reservoir, Case Study Copa Dam, Boyacá
  75. Determination of particle transport patterns in a high mountain river influenced by the construction of reservoirs, using particle tracking techniques and hydrodynamic modeling, case study: Río La Miel.
  76. Dynamic assessment of flood inundation based on a spatiotemporal hydrological model feed by a dynamic representation of human activities
  77. Evaluation of the spatio-temporal development of hydrological droughts and its sensitivity to the choice of different parameters of the hydrological model. Case study: Magdalena-Cauca River basin – Colombia
  78. Forecasting landslides using a spatiotemporal analysis of remote sensing data
  79. Modelling the responses of extreme events hydrometeorological events in the landslides and floods of the Combeima river basin.
  80. Review, mathematical representation and classification of preventive drought management measures
  81. Spatio temporal visualization of soil critical sources areas to assess the dynamics of source pollution in agricultural management practices
  82. Interesting paper however there are some important questions
  83. A spatially enhanced data-driven multi-model to improve semi-seasonal groundwater forecasts in the High Plains aquifer, USA
  84. A Temperature-Scaling Approach for Projecting Changes in Short Duration Rainfall Extremes from GCM Data
  85. Impact of conservation tillage on nitrogen and phosphorus runoff losses in a potato crop system in Fuquene watershed, Colombia
  86. Hydrological Modeling of Climate Change Impacts in a Tropical River Basin: A Case Study of the Cauto River, Cuba
  87. Optimal Operation of the Eastern Nile System Using Genetic Algorithm, and Benefits Distribution of Water Resources Development
  88. Assessing the performance of near real-time rainfall products to represent spatiotemporal characteristics of extreme events: case study of a subtropical catchment in south-eastern Brazil
  89. Development and testing of a river basin management simulation game for integrated management of the Magdalena-Cauca river basin
  90. Data-driven techniques for modelling the gross primary production of the páramo vegetation using climate data: Application in the Ecuadorian Andean region
  91. Nile River Basin modelling for water resources management – a literature review
  92. Simulating Gross Primary Production and Stand Hydrological Processes of páramo Grasslands in the Ecuadorian Andean Region Using the Biome-BGC Model
  93. Altitudinal analysis of carbon stocks in the Antisanapáramo, Ecuadorian Andes
  94. Measuring domain decomposition effect in estuary model parallelization using high performance computer
  95. On the spatio-temporal analysis of hydrological droughts from global hydrological models
  96. Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 1: Concepts and methodology
  97. Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 2: Application
  98. Rainfall–interception–evaporation–runoff relationships in a semi-arid catchment, northern Limpopo basin, Zimbabwe
  99. Baseflow separation techniques for modular artificial neural network modelling in flow forecasting
  100. Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting