## 3 Results
### Analysis of Vertical Distribution of Air Quality  
In this study, vertical profiles of air quality data were corrected and plotted as line graphs, and variations with altitude were analyzed in relation to the specific geographical microenvironment characteristics of each collection point. * Collection Point 1 was located at the center of a lake, surrounded by a large expanse of water and sparse tree vegetation, providing a unique water-influenced microenvironment. * Collection Point 2 was situated in the central area of a square, with sparse tree vegetation distributed on both its east and west sides, creating an open, less vegetated environment. * Collection Point 3, to the east of Laboratory Building A, was surrounded by dense vegetation and nearby buildings, offering a more enclosed, densely vegetated microenvironment. * Collection Point 4 lay between Laboratory Building B and the Administrative Building. To its south, there was an asphalt road lined with dense vegetation and a small water body along the roadside, combining man-made surfaces with natural elements. * Collection Point 5 was in the southwest of the educational zone, surrounded mainly by sparse trees, water bodies, and some bare ground, with an asphalt road lying to the southwest. * Collection Point 6 was located in the central part of the educational zone, surrounded by dense tree vegetation, with the ground covered in lawn soil, reflecting a primarily vegetated area. * Collection Point 7 was on the east side of the educational zone, featuring a spacious lawn area with fewer trees. The perimeter of the lawn was covered with impermeable surfaces, representing a more open microenvironment with significant impervious ground cover. As shown in Figure 9, the CO\({}_{2}\) concentration is lowest at Point 3 and highest at Point 5. With increasing altitude, significant reductions in CO\({}_{2}\) concentration are observed at Point 2 in the square area and Point 7 in the lawn area. The decrease in CO\({}_{2}\) concentration at Point 2 is particularly steep, surpassing the previously lowest concentration at Point 3 at an altitude of approximately 50 m, becoming the new low point. This reflects the promoting effect of open areas on the vertical dispersion of CO\({}_{2}\). As shown in Figure 10, with increasing altitude, the temperature at various points exhibits a decreasing trend, which aligns with the common atmospheric phenomenon known as the lapse rate [26]. It can be observed that the temperature at Point 3 consistently remains lower than at other locations, while Point 4 consistently shows the highest temperature levels. This is in direct contrast to the humidity trends shown in Figure 11, where the humidity at Point 3 is significantly higher than at other points, and Point 4 has the lowest humidity. Except for Points 4 and 5, the humidity at the other locations increases with altitude. This is because lower temperatures at higher altitudes reduce the air's capacity to hold water vapor, thereby increasing relative humidity [27; 28]. \begin{table}
\begin{tabular}{c c c c c} \hline
**Loss Function** & **CO\({}_{2}\)** & **Temperature** & **PM\({}_{2.5}\)** & **Humidity** \\ \hline MSE & 0.039112 & 0.014064 & 0.031388 & 0.049695 \\ R\({}^{2}\) & 0.9595 & 0.98471 & 0.9618 & 0.95406 \\ \hline \end{tabular}
\end{table} 
Table 4: Performance of the BP neural network correction model. Figure 10: Vertical variation of temperature graph. The numbers in the legend correspond to the vertical collection point numbers. Figure 9: Vertical variation of CO\({}_{2}\) graph. The numbers in the legend correspond to the vertical collection point numbers. As shown in Figure 12, PM\({}_{2.5}\) concentrations are generally higher at Point 3 near Laboratory Building B, which is under construction, and Point 4 near Laboratory Building A. This indicates that dust from construction activities and the operation of large electronic experimental equipment increase particulate matter levels in the surrounding air.