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Outline
Based on the observation data of ozone pollution in the Yangtze River Delta (YRD) region from 2017 to 2023, the self-organized mapping (SOM) typing method and the WRF-CMAQ model were combined to systematically investigate theanomaliesof typical weather patterns and meteorological factor that affected ozone pollution in the region. Six typical weather patterns were identified through SOM modeling: trough front retention (32.65%) was found to be the main pollution pattern in summer, pre-Meiyu rain (21.12%) was concentrated in the alternating period of spring and summer, subtropical high peripheral (18.95%) occurred mostly in fall, and there were also weak low-pressure (12.56%), high-pressure profrontal (9.13%), and anticyclone (5.6%) patterns. The main meteorological factors during the ozone pollution period were characterized by significant anomalies, specifically positive temperature anomalies, negative wind speed and humidity anomalies, and radiation enhancement, all of which contributed to the production and accumulation of ozone. Based on the WRF-CMAQ model simulations with process analysis method, the analysis of the typical pollution processes from 2017 to 2023 revealed that during the cold period from October to April, ozone formation was primarily driven by temperature and radiation anomalies, with photochemical reactions dominating. The contribution of photochemical processes to ozone formation was found to reach 53%. In contrast, during the warm period from May to September, ozone pollution was more influenced by dynamic processes, such as the reduction of wind speed in the boundary layer, leading to a decrease in the contribution of photochemical processes to 38%. Meanwhile, the contribution of horizontal transport significantly increased to 26%. This study clarified the physical and chemical mechanisms between meteorological factors and ozone pollution under different weather patterns, providing scientific support for the refined control of ozone pollution in the YRD region.
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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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