All Stories

  1. An Uncertainty-Informed Water Quality Index: Incorporation of Data Uncertainty into Water Quality Assessment
  2. Socio-environmental modeling shows physics-like confidence with water modeling surpassing it in numerical claims
  3. Sensitivity analysis of input variables of a SWAT hydrological model using the machine learning technique of random forest
  4. Assessing Chlorophyll-a Variations in Caspian Sea during the COVID-19 Pandemic
  5. Large uncertainty in global estimates of manure phosphorus runoff
  6. Machine learning insights into PM2.5 changes during COVID-19 lockdown: LSTM and RF analysis in Mashhad
  7. An improved Copula-Based Framework for Efficient Global Sensitivity Analysis
  8. An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis
  9. Sensitivity auditing
  10. Global patterns and key drivers of stream nitrogen concentration: A machine learning approach
  11. Unpacking the modelling process via sensitivity auditing
  12. pyVISCOUS: An open-source tool for computationally frugal global sensitivity analysis
  13. The delusive accuracy of global irrigation water withdrawal estimates
  14. How certain are we about the model-based estimations of global irrigation water withdrawal? 
  15. The role of livestock in nitrogen pollution of large river basins: A machine learning-based assessment
  16. A global assessment of nitrogen concentrations using spatiotemporal random forests
  17. A Machine Learning Approach to Identifying the Key Factors Influencing Global Water Quality
  18. VISCOUS: A Variance‐Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes
  19. VISCOUS: A Variance-Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes
  20. A Fresh Look at Variography: Measuring Dependence and Possible Sensitivities Across Geophysical Systems from Any Given Data
  21. A Fresh Look at Variography: Measuring Dependence and Possible Sensitivities Across Geophysical Systems from Any Given Data
  22. A Global Assessment of Non-Stationarity in Extreme Precipitation
  23. A New Way of Understanding Rebound Phenomenon in Agriculture Water Demand Using A Global Sensitivity Analysis Approach
  24. What should we do when a model crashes? Recommendations for global sensitivity analysis of Earth and environmental systems models
  25. Response to Reviewers’ Comments
  26. Response to Reviewers’ Comments
  27. What do we do with model simulation crashes? Recommendations for global sensitivity analysis of earth and environmental systems models
  28. Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost
  29. Improved Understanding of River Ice Processes Using Global Sensitivity Analysis Approaches
  30. Multiple factors that shaped sustainability science journal: a 10-year review
  31. Progressive Latin Hypercube Sampling: An efficient approach for robust sampling-based analysis of environmental models
  32. Developed Swarm Optimizer: A New Method for Sizing Optimization of Water Distribution Systems
  33. A hybrid cuckoo–harmony search algorithm for optimal design of water distribution systems
  34. Chaotic swarming of particles: A new method for size optimization of truss structures
  35. A chaotic imperialist competitive algorithm for optimum cost design of cantilever retaining walls
  36. Engineering design optimization using chaotic enhanced charged system search algorithms
  37. Imperialist competitive algorithm combined with chaos for global optimization
  38. Chaotic imperialist competitive algorithm for optimum design of truss structures
  39. Optimum Design of Gravity Retaining Walls Using Charged System Search Algorithm