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contributor authorTiwari, Ashwini
contributor authorPrasad, K. S. Hari
contributor authorOjha, C. S. P.
date accessioned2026-08-20T11:56:10Z
date available2026-08-20T11:56:10Z
date copyright2026/03/20
date issued2026
identifier otherJOEEDU.EEENG-8415.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312867
description abstractAbstractDissolved oxygen (DO) refers to the mass of oxygen that is contained in the water. The concentration of DO is an important indicator of the water quality. Maintaining adequate DO levels in surface waters is necessary to sustain public health, ...Practical ApplicationsThis study applies ensemble machine learning (ML) models to predict aeration efficiency in rivers and streams, focusing on real-world, field-scale conditions. Traditional empirical equations have been widely used, but they are valid ...
publisherAmerican Society of Civil Engineers
titleEvaluation of Ensemble Machine Learning Techniques for Prediction of Oxygen Transfer in Self-Aerated Flows
typeJournal Article
journal volume152
journal issue6
journal titleJournal of Environmental Engineering
identifier doi10.1061/JOEEDU.EEENG-8415
journal fristpage04026017-1
journal lastpage04026017-15
page15
treeJournal of Environmental Engineering:;2026:;Volume ( 152 ):;issue: 006
contenttypeFulltext


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