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This study utilized a rotor UAV equipped with multi-pollutant sensors to conduct vertical observations of multiple parameters in the Daya Bay District of Huizhou City, Guangdong Province, from October 12 to 18, 2023, during the morning (9:00), afternoon (15:00), and evening (21:00) each day. The results showed that temperature generally decreased with increasing altitude, with temperature inversion observed at 350 meters during certain periods. Relative humidity exhibited an overall increasing trend with height. NO2 concentrations typically increased with altitude, with significant peaks around 350 meters at specific times. SO2 concentrations exhibited a general decreasing trend, but significant elevations were also observed around 350meters at certain times, suggesting potential NO2 and SO2 pollution transport processes at this altitude. CO concentrations were relatively high at ground level and decreased rapidly with altitude, showing minimal variation above 200meters, indicating that high-altitude CO concentrations were primarily influenced by near-surface emissions and diffusion, with no significant pollution transport processes. PM10 and PM2.5 concentrations were generally low, with slight variations across altitudes. They tended to be higher in the morning and lower in the afternoon and evening, likely due to residual layer accumulation or overnight particle emissions. Backward trajectory analysis revealed that air masses at 0, 300, and 500meters all passed over the Daya Bay Petrochemical Industrial Park. Air masses at 300meters and 500meters originated from northeastern counties and cities of Guangdong Province from October 12 to 14, and from coastal areas of Guangdong and Fujian Provinces from October 16 to 18, indicating that emissions from the Daya Bay Petrochemical Industrial Park and upwind regions contributed to high-altitude pollutant levels in the Daya Bay area. WRF-CAMx model simulations further identified high-concentration zones of NO2 and SO2 upwind of Daya Bay, confirming the existence of high-altitude pollutant transport pathways. The vertical profile characteristics obtained from UAV observations provide valuable insights into the transport patterns of atmospheric pollutants at high altitudes, offering support for regional air quality impact studies.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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