Full
Outline
This study investigated the spatiotemporal variations and relationships of O3, HCHO, and NO2, as well as O3 formation sensitivity (OFS) and the distribution changes of O3-NOx-VOCs control regime in the Beijing-Tianjin-Hebei (BTH) region from 2019 to 2023, using data acquired from the TROPOMI satellite sensor and ground-based monitoring networks. The results showed that: (1) O3 concentrations in the BTH region were characterized by higher levels in the south and lower levels in the north, with an overall trend of initial decrease followed by an increase. The number of O3 pollution days was reduced by approximately 30%. A significant positive correlation was observed between O3 concentration and air temperature (r=0.85, P<0.001). (2) High-value areas of HCHO and NO2 vertical column densities (VCDs) were concentrated in the Beijing-Tianjin-Langfang/Tangshan regions and the Shijiazhuang-Handan-Xingtai urban agglomeration. During the study period, a decrease of approximately 3% in HCHO VCDs and about 12% in NO2VCDs was recorded. HCHO variations were significantly influenced by temperature, while NO2 was primarily driven by anthropogenic activities. Based on daily data during the OPHF period in the BTH region, nonlinear relationships between O3 concentration and the ratio of HCHO to NO2 VCDs (FNR) were found to be consistent with photochemical models of O3-NOx-VOCs reactions. The peak O3 concentration occurred at an FNR value of 4.0, with the transitional regime ranging from 3.2 to 4.9. Although differences were observed in the fitting curves between O3 concentration and FNR across different cities, the correlation coefficients were all above 0.65. (3) From 2019 to 2023, the O3 formation regime during the OPHF period was shown to transition from mixed NOx-VOCs limited to VOCs limited conditions, with the area of VOCs limited regime expanding by approximately 23%. Therefore, it is suggested that greater emphasis should be placed on reducing VOCs emissions to mitigate O3 pollution in the future. Ozone formation sensitivity was significantly influenced by anthropogenic factors. The Pearson correlation coefficients between FNR and NO2 VCDs, CO VCDs, and HCHO VCDs were -0.86, -0.62, and 0.14 (P<0.001), respectively. Among meteorological factors, temperature and humidity were found to have significant effects on FNR, with correlation coefficients of 0.88 and 0.41 (P<0.001), respectively.
52
13
| 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 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
