https://www.selleckchem.com/pr....oducts/-epicatechin.
This study aims to assess different machine learning approaches for streamflow regionalization in a tropical watershed, analyzing their advantages and limitations, and to point the benefits of using them for water resources management. The algorithms applied were Random Forest, Earth and linear model. The response variables were the three types of minimum streamflow (Q7.10, Q95 and Q9, besides the long-term average streamflow (Qmld). The database involved 76 environmental covariates related to morphometry, topography, climate, la
Like
Comment
Share
