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Week 3 Wrap Up

Summary of week 3
8.7
How do you find chemometrics in air pollution? We have learned several of the chemometric models in week 3. We demonstrate the steps for the execution of the model. You will be able to apply the models such as PCA-MLR, APCS and PMF. I have shown you how you may determine the quantitative pattern recognition of the pollutants. Furthermore, you have learned that advanced APCS may help to overcome the limitation of PCA-MLR. In the last part, you also have learned the application of PMF, a potential significant model in air pollution. So, the component covers in the three-week modules will assist you in your research and career.

We have learned several of the chemometric models in week 3.

We demonstrate the steps for the execution of the model. You will be able to apply the models such as PCA-MLR, APCS, and PMF to the recognition of patterns of the air pollutants.

You may determine the qualitative pattern recognition of the pollutants. If you need to know the qualitative source apportionment of the pollutants, PCA should be coupled with MLR and regress the dependent variable against the independent variables. If you use a data set of chemical compositions in PM2.5, the composition of PM2.5 may refer to independent variables and PM2.5 refers to dependent variables.

You have identified the limitation of the PCA-MLR and you learn that advanced APCS may help to overcome the limitation of PCA-MLR.

Lastly, you learned the application of PMF, a potential significant model in air pollution.

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Chemometrics in Air Pollution

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