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Outline
Based on multi-source environmental and meteorological observations combined with WRF-Chem numerical simulations, the three-dimensional evolution of a typical ozone (O3) pollution episode in Anhui Province was comprehensively investigated. The relative contributions of atmospheric physical and chemical processes, including chemical reactions, advective transport, and turbulent mixing, to O3 concentration changes were quantified. The synergistic influence mechanism of these physical and chemical processes, coupled with diurnal variations in atmospheric boundary layer (ABL) structures on surface O3 pollution was also revealed. During the pollution episode on June 1~3, 2022, three-quarters of the cities exceeded the national O3 pollution standard, with O3 concentrations higher in the north and lower in the south, a pattern controlled by local meteorological conditions. This O3 pollution episode was influenced by the combined impact of two major source regions: North China Plain and Yangtze River Delta. In the early stage, northwesterly airflow transported O3 from North China Plain to northern Anhui, where local wind convergence, together with unfavourable meteorological conditions of high temperature and low humidity, triggered severe O3 pollution. In the later stage, southeasterly winds prevailed, driving the northward transport of O3 from Yangtze River Delta to Anhui and prolonging the pollution period. The model results indicated that the diurnal variation of O3 budget showed a bimodal distribution, with turbulent mixing and horizontal transport processes dominating the peaks at 09:00 and 17:00, respectively, and consequently delaying the O3 concentration peak to 18:00. The influence of regional O3 transport exhibited a temporal lag effect: during the daytime, transport within the ABL at approximately 500m directly affected surface O3 concentrations in adjacent areas; whereas at night, transport within the residual layer at approximately 1km dominated, interacting with diurnal ABL variations, thus exacerbating O3 pollution in distant downstream areas.
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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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