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Can we estimate the lake mean depth and volume from the deepest record and auxiliary geospatial parameters?

Pengfei Zhan, Chunqiao Song, Kai Liu, Tan Chen, Linghong Ke, Shuangxiao Luo, Chenyu Fan

2022Journal of Hydrology24 citationsDOI

Topics & Concepts

Random forestSupport vector machineMean absolute percentage errorVolume (thermodynamics)Salt lakeGeospatial analysisHydrology (agriculture)Linear regressionArtificial neural networkEnvironmental scienceStatisticsComputer scienceGeologyMathematicsArtificial intelligenceRemote sensingGeomorphologyGeotechnical engineeringPhysicsStructural basinQuantum mechanicsFlood Risk Assessment and ManagementHydrology and Watershed Management StudiesHydrological Forecasting Using AI
Can we estimate the lake mean depth and volume from the deepest record and auxiliary geospatial parameters? | Litcius