| contributor author | Tiwari, Ashwini | |
| contributor author | Prasad, K. S. Hari | |
| contributor author | Ojha, C. S. P. | |
| date accessioned | 2026-08-20T11:56:10Z | |
| date available | 2026-08-20T11:56:10Z | |
| date copyright | 2026/03/20 | |
| date issued | 2026 | |
| identifier other | JOEEDU.EEENG-8415.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312867 | |
| description abstract | AbstractDissolved 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 ... | |
| publisher | American Society of Civil Engineers | |
| title | Evaluation of Ensemble Machine Learning Techniques for Prediction of Oxygen Transfer in Self-Aerated Flows | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 6 | |
| journal title | Journal of Environmental Engineering | |
| identifier doi | 10.1061/JOEEDU.EEENG-8415 | |
| journal fristpage | 04026017-1 | |
| journal lastpage | 04026017-15 | |
| page | 15 | |
| tree | Journal of Environmental Engineering:;2026:;Volume ( 152 ):;issue: 006 | |
| contenttype | Fulltext | |