Development of the TOA-Related Models for PM<sub>2.5</sub> Prediction Pre- and Post-COVID-19 Outbreak over Yangtze River Delta Region of China

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/js/volume-2022/2994885/figures/2994885.fig.004a.svgz" name="2994885.fig.004a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>The spatial distribution of average PM<sub>2.5</sub> concentrations</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/js/volume-2022/2994885/figures/2994885.fig.004b.svgz" name="2994885.fig.004b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The average PM<sub>2.5</sub> concentrations of monitoring stations</td></tr></table>

<div>The average PM<sub>2.5</sub> concentrations derived from TOA-sig RF model.</div>

Journal of Sensors

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Figure 4

Figure 4: Development of the TOA-Related Models for PM<sub>2.5</sub> Prediction Pre- and Post-COVID-19 Outbreak over Yangtze River Delta Region of China 

Journal of Sensors

Development of the TOA-Related Models for PM2.5 Prediction Pre- and Post-COVID-19 Outbreak over Yangtze River Delta Region of China

Figure 4

Development of the TOA-Related Models for PM_2.5 Prediction Pre- and Post-COVID-19 Outbreak over Yangtze River Delta Region of China