Patent ID: 11965871
Assignee: NANJING UNIVERSITY
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 7:
8. The method of claim 7, wherein according to the identified pollution sources and the organic pollutants in the receiving water body at the pollution sources, determining key pollutants in the pollution sources and quantifying the pollution contributions of the key pollutants by using a machine learning classification model comprises:
determining the organic pollutants in the water samples of the receiving water body into which the determined pollution sources flow, selecting the organic pollutants existing in both the pollution sources and the receiving water body, and taking the peak areas of the organic pollutants at each site of the receiving water body as inputs;
constructing the random forest classification model, and taking the samples of the receiving water body as criteria for binary classification relative to the upstream or the downstream of the pollution sources;
training the random forest classification model; and
outputting indexes indicating the importance of variables, and determining the key pollutants and the pollution contributions of the key pollutants according to values of the indexes.