Correction for the Measurements of Particulate Matter Sensors through Machine Learning
Authors: Cheng Zhen , Guo Qiaofeng 
Published: March 2020

&lt;p&gt;&amp;#160; &amp;#160; &amp;#160; &amp;#160; Instruments based on light scattering used to measure total suspended particulate (TSP) concentrations have the advantages of fast response, small size and low cost as compared to the gravimetric reference method. However, the relationship between scattering intensity and TSP mass concentration varies nonlinearly with both environmental conditions and particle properties, making it difficult to make corrections. This study applied four machine learning models (support vector machine, random forest, gradient boosting regression trees and an artificial neural network) to correct scattering measurements for TSP mass concentrations. A total of 1141 hourly records of collocated gravimetric and light scattering measurements taken at 17 urban sites in Shanghai, China were used for model training and validation. All four machine learning models improved the linear regressions between scattering and gravimetric mass by increasing slopes from 0.4 to 0.9-1.1 and coefficients of determination from 0.1 to 0.8-0.9. Partial dependence plots indicate that TSP concentrations determined by light scattering instruments increased continuously in the PM2.5 concentration range of ~0-80 &amp;#181;g/m3; however, they leveled off above PM10 and TSP concentrations of ~60 and 200 &amp;#181;g/m3, respectively. The TSP mass concentrations determined by scattering showed an exponential growth after relative humidity exceeded 70%, in agreement with previous studies on hygroscopic growth of fine particles. This study demonstrates that machine learning models can effectively improve the correlation between light scattering measurements and TSP mass concentrations with filter-based methods. Interpretation analysis further provides scientific insights into the major factors (e.g., hygroscopic growth) that cause scattering measurements to deviate from TSP mass concentrations besides other factors like fluctuation of mass density and refractive index.&lt;/p&gt;&lt;p&gt;&lt;img 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alt=&quot;&quot;&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Figure 1.&lt;/strong&gt; Comparison of TSP concentrations determined by light scattering and machine learning model outputs with those by gravimetric analyses. &lt;strong&gt;(a)&lt;/strong&gt; LR: Linear Regression; &lt;strong&gt;(b)&lt;/strong&gt; SVM: Support Vector Machine; &lt;strong&gt;(c) &lt;/strong&gt;RF: Random Forest; &lt;strong&gt;(d)&lt;/strong&gt; GBRT: Gradient Boosting Regression Tree; (e) ANN: Artificial Neural Network. y/x represents the slope, R&lt;sup&gt;2&lt;/sup&gt; is the coefficient of determination, N means the volume of the dataset.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;&lt;img 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&quot;&gt;&lt;/p&gt;