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Mengyuan Zhu, Jiawei Wang, Xiao Yang, Yu Zhang, Linyu Zhang, Hongqiang Ren, Bing Wu, Lin Ye
With the rapid increase in the volume of data on the aquatic environment, machine learning has become an important tool for data analysis, classification, and prediction. Unlike traditional models used in water-related research, data-driven models based on machine learning can efficiently solve more complex nonlinear problems. In water environment research, models and conclusions derived from machine learning have been applied to the construction, monitoring, simulation, evaluation, and optimization of various water treatment and management systems. Additionally, machine learning can provide solutions for water pollution control, water quality improvement, and watershed ecosystem security management. In this review, we describe the cases in which machine learning algorithms have been applied to evaluate the water quality in different water environments, such as surface water, groundwater, drinking water, sewage, and seawater. Furthermore, we propose possible future applications of machine learning approaches to water environments.
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Zhu, M., Wang, J., Yang, X., Zhang, Y., Zhang, L., Ren, H., Wu, B., & Ye, L. (2022). A review of the application of machine learning in water quality evaluation. Eco-Environment & Health, 1(2), 107–116. https://doi.org/10.1016/j.eehl.2022.06.001
Zhu, Mengyuan, et al. "A review of the application of machine learning in water quality evaluation." Eco-Environment & Health, vol. 1, no. 2, 2022, pp. 107–116, https://doi.org/10.1016/j.eehl.2022.06.001.
Zhu, Mengyuan, Jiawei Wang, Xiao Yang, Yu Zhang, Linyu Zhang, Hongqiang Ren, Bing Wu, and Lin Ye. "A review of the application of machine learning in water quality evaluation." Eco-Environment & Health 1, no. 2 (2022): 107–116. https://doi.org/10.1016/j.eehl.2022.06.001.
Zhu M., Wang J., Yang X. [и др.] A review of the application of machine learning in water quality evaluation // Eco-Environment & Health. — 2022. — Vol. 1, № 2. — P. 107–116. — URL: https://doi.org/10.1016/j.eehl.2022.06.001
@article{zhu2022review,
title = {{A review of the application of machine learning in water quality evaluation}},
author = {Mengyuan Zhu and Jiawei Wang and Xiao Yang and Yu Zhang and Linyu Zhang and Hongqiang Ren and Bing Wu and Lin Ye},
journal = {Eco-Environment \& Health},
year = {2022},
volume = {1},
number = {2},
pages = {107--116},
doi = {10.1016/j.eehl.2022.06.001},
url = {https://doi.org/10.1016/j.eehl.2022.06.001}
}TY - JOUR AU - Zhu, Mengyuan AU - Wang, Jiawei AU - Yang, Xiao AU - Zhang, Yu AU - Zhang, Linyu AU - Ren, Hongqiang AU - Wu, Bing AU - Ye, Lin TI - A review of the application of machine learning in water quality evaluation JO - Eco-Environment & Health VL - 1 IS - 2 SP - 107 EP - 116 PY - 2022 DA - 2022/06/01 DO - 10.1016/j.eehl.2022.06.001 UR - https://doi.org/10.1016/j.eehl.2022.06.001 ER -
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