Research paper: A genetic algorithm-based support vector machine to estimate the transverse mixing coefficient in streams.
Published: 12 July 2021| Version 1 | DOI: 10.17632/2mm7jmp2g5.1
Contributor:
Hosein NezaratianDescription
232 data points were collected from the technical literature from the literature for the transverse mixing coefficient for wide range of flow conditions. It must be added that 183 and 49 dataset have been collected from straight and meandering streams, respectively. In addition, the dataset contains geometrical and hydraulic characteristics, including channel width, channel depth, average velocity, shear velocity, Froude number, sinuosity, and TMC.
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Institutions
University of Regina
Categories
Water Pollution