A review of the application of machine learning in water quality evaluation
State Key Laboratory of Pollution Control and Resource Reuse · Nanjing University
Abstract
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…
Citation impact
- FWCI
- 50.19
- Percentile
- 100%
- References
- 119
Authors
8- MZMengyuan Zhu
State Key Laboratory of Pollution Control and Resource Reuse, Nanjing University
- JWJiawei Wang
State Key Laboratory of Pollution Control and Resource Reuse, Nanjing University
- XYXiao Yang
State Key Laboratory of Pollution Control and Resource Reuse, Nanjing University
- YZYu Zhang
State Key Laboratory of Pollution Control and Resource Reuse, Nanjing University
- LZLinyu Zhang
State Key Laboratory of Pollution Control and Resource Reuse, Nanjing University
Topics & keywords
- Water quality
- Computer science
- Machine learning
- Water resources
- Artificial intelligence
- Surface water
- Environmental science
- Environmental engineering
- Clean water and sanitation