Litcius/Paper detail

Assessment of drought conditions and prediction by machine learning algorithms using Standardized Precipitation Index and Standardized Water-Level Index (case study: Yazd province, Iran)

Reza Shakeri, Hossein Amini, Farshid Fakheri, Hamed Ketabchi

2023Environmental Science and Pollution Research13 citationsDOI

Topics & Concepts

Index (typography)Gradient boostingEnvironmental scienceDecision treeRain gaugeMean squared errorBoosting (machine learning)PrecipitationHydrology (agriculture)MathematicsRandom forestMachine learningMeteorologyStatisticsGeographyComputer scienceEngineeringGeotechnical engineeringWorld Wide WebHydrology and Drought AnalysisHydrological Forecasting Using AIFlood Risk Assessment and Management
Assessment of drought conditions and prediction by machine learning algorithms using Standardized Precipitation Index and Standardized Water-Level Index (case study: Yazd province, Iran) | Litcius