Issue |
E3S Web of Conf.
Volume 393, 2023
2023 5th International Conference on Environmental Prevention and Pollution Control Technologies (EPPCT 2023)
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Article Number | 02005 | |
Number of page(s) | 4 | |
Section | Ecological Protection and Sustainable Development Research | |
DOI | https://doi.org/10.1051/e3sconf/202339302005 | |
Published online | 02 June 2023 |
Prediction of BOD in water body of Chaohu Lake based on GA-RandomForest
1 City University Of Hefei, School of Economics and Management, China
2 City University Of Hefei, School of Civil Engineering, China
3 Hefei University of Technology, School of Civil Engineering and Water Resources, China
* Correspondence author’s mailbox: j1572443279@gmail.com
Aiming at the problems existing in the process of river water quality detection, this paper proposes a BOD prediction model based on GA-RandomForest optimization, and evaluates the model through MAE and MAPE, and achieves good results. And the forecast experiment is carried out through the water quality data of Chaohu Lake for 3 months. The experimental results show that the BOD prediction model based on GA-RandomForest is effective, and the model is based on higher accuracy.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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