Assessment for water quality by artificial neural network in Daya Bay, South China Sea.

@article{Wu2015AssessmentFW,
  title={Assessment for water quality by artificial neural network in Daya Bay, South China Sea.},
  author={M L Wu and You-shao Wang and Ji-Dong Gu},
  journal={Ecotoxicology},
  year={2015},
  volume={24 7-8},
  pages={1632-42}
}
In this study, artificial neural network such as a self-organizing map (SOM) was used to assess for the effects caused by climate change and human activities on the water quality in Daya Bay, South China Sea. SOM has identified the anthropogenic effects and seasonal characters of water quality. SOM grouped the four seasons as four groups (winter, spring, summer and autumn). The Southeast Asian monsoons, northeasterly from October to the next April and southwesterly from May to September have… CONTINUE READING

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