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Development of an advanced machine learning model to predict the pH of groundwater in permeable reactive barriers (PRBs) located in acidic terrain

Subhani Medawela, Danial Jahed Armaghani, Buddhima Indraratna, R. Kerry Rowe, Ngamta Thamwattana

2023Computers and Geotechnics14 citationsDOI

Topics & Concepts

Random forestGroundwaterMean squared errorPseudorandom binary sequencePermeable reactive barrierAlgorithmComputer scienceEnvironmental scienceSoil scienceHydrology (agriculture)EngineeringGeotechnical engineeringMathematicsArtificial intelligenceStatisticsContaminationBiologyArithmeticEnvironmental remediationBinary numberEcologyGroundwater flow and contamination studiesEnhanced Oil Recovery TechniquesMineral Processing and Grinding
Development of an advanced machine learning model to predict the pH of groundwater in permeable reactive barriers (PRBs) located in acidic terrain | Litcius