## 2 Monitoring Project Overview
### Analysis of Experimental Data Processing
#### 2.3.2 Test Date Analysis
One possible explanation is that, at lower temperatures, dust particles tend to remain suspended in the air more readily, causing dust to accumulate and making it difficult for it to disperse, which in turn leads to higher observed concentrations. Air humidity influences the diffusion and settling of particulate matter concentration to some degree [31]. There is a distinct relationship between rainfall and humidity. During the observation period, rain is recorded on the afternoons of August 11 and August 20, which is reflected in samples 81-101 and 241-250 in Figure 3c. When combined with Figure 3b, it shows that humidity levels shift with rainfall, rising from 20% to 70% initially, and then reaching 80% to 100%. Figure 3b indicates a positive correlation between air humidity and PM concentration overall, meaning that, as humidity increases, dust concentration also tends to rise. However, this trend is primarily evident in areas where humidity is not influenced by rainfall and exhibits notable periodic patterns. For instance, in the intervals of samples 21-41, 61, 121-141, and 141-161, both humidity and particle concentration increase. This phenomenon occurs because the summer climate in the mine is typically dry. Even though there is a temporary rise in humidity, the air still lacks sufficient moisture, which diminishes the interaction between particles and leads to an increase in dust concentration in the air [35]. In addition, by analyzing Figure 3c, it can be seen that, due to the rainy weather, the stop environment is relatively humid, which helps the water vapor in the air to condense, and the particles in the air can absorb more water, which leads to the increase in particle size and settlement [35]. Therefore, the dust concentration is significantly reduced in the two intervals of 81-101 and 241-250. However, with the stop of rainfall, the humidity and dust concentration show a transient stable state and gradually decrease and continue to show periodic distribution characteristics. The magnitude of the noise indicates the intensity of mine production. It can be observed from Figure 3d that there is a lagged positive correlation between the mining production intensity and the dust concentration. Specifically, as the production intensity increases, the dust concentration will increase after a certain period of time. Figure 3e,f present wind rose diagrams that demonstrate how PM2.5 and PM10 levels are influenced by wind speed, direction, and force. It is evident that higher wind speeds correspond to lower dust concentrations, as shown by the blue area. The wind flow helps to disperse the dust mass concentration, resulting in a reduced level of concentration observed. Moreover, it is important to clarify that dust concentration is influenced by multiple factors rather than just one. Despite the impact of various external elements, there are no clear patterns in the changes of particulate matter concentration. Consequently, a more in-depth analysis and discussion of how different factors affect dust concentration is required. The overall analysis indicates that the monitoring data align with the fundamental pattern of dust concentration changing with the weather, and the accuracy is reasonable.