Prediction of surface runoff quality and quantity using an integrated model and machine learning under climate change conditions

This publication has 71 references indexed in Scilit:

• A Bayesian Modelling Framework for Integration of Ecosystem Services into Freshwater Resources Management
  Environmental Management, 2022
• Water Quality Modeling That Works
  2022
• Drivers of water quality changes within the Laurentian Great Lakes region over the past 40 years
  Limnology and Oceanography, 2020
• Chemical Contaminants for Soil, Air and Aquatic Ecosystem
  2017
• Application of different data-driven methods for the prediction of total dissolved solids in the Zarinehroud basin
  Stochastic Environmental Research and Risk Assessment, 2014
• Quantitative Multi-risk Modelling and Management Using Bayesian Networks
  2014
• A Tutorial on Learning with Bayesian Networks
  2008
• ILLUDAS and PSRM‐QUAL predictive ability in small urban areas and comparison with other models
  Hydrological Processes, 2007
• PROBABILISTIC FORECASTS USING BAYESIAN NETWORKS CALIBRATED WITH DETERMINISTIC RAINFALL-RUNOFF MODELS
  2007
• GIS-hydrological models for managing water resources in the Zarqa River basin
  Environmental Geology, 2004