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Multi-machine learning methods to predict spatial variation characteristics of total nitrogen at watershed scale: Evidences from the largest watershed (Yangtze River Watershed), Asian

Xihua Wang, Xunming Ji, Y. Jun Xu, Boyang Mao, Shunqing Jia, Cong Wang, Zejun Liu, Qinya Lv

2024The Science of The Total Environment24 citationsDOIOpen Access PDF

Topics & Concepts

WatershedEnvironmental scienceHydrology (agriculture)SedimentAgricultureLand useNitrogenAgricultural landReactive nitrogenWater resource managementGeographyEcologyMachine learningComputer sciencePaleontologyPhysicsQuantum mechanicsBiologyEngineeringGeotechnical engineeringArchaeologySoil and Water Nutrient DynamicsHydrology and Watershed Management StudiesWater Quality and Pollution Assessment
Multi-machine learning methods to predict spatial variation characteristics of total nitrogen at watershed scale: Evidences from the largest watershed (Yangtze River Watershed), Asian | Litcius