| Autor: |
Chen C; Foshan Meteorological Bureau, Foshan 528000, China.; Guangdong Provincial Observation and Research Station for Climate Environment and Air Quality Change in the Pearl River Estuary, Guangzhou 510275, China., Hong YY; Pearl River Delta Center for Environmental Meteorology Prediction and Warning, Guangdong Ecological Meteorology Center, Guangzhou 510640, China., Tan HB; Foshan Meteorological Bureau, Foshan 528000, China., Situ SP; Foshan Ecology and Environmental Monitoring Station of Guangdong Province, Foshan 528000, China., Cheng YL; Foshan Meteorological Bureau, Foshan 528000, China., Bu QL; Foshan Meteorological Bureau, Foshan 528000, China., Wu M; Foshan Meteorological Bureau, Foshan 528000, China.; Guangdong Provincial Observation and Research Station for Climate Environment and Air Quality Change in the Pearl River Estuary, Guangzhou 510275, China., Pan QY; Foshan Meteorological Bureau, Foshan 528000, China. |
| Jazyk: |
čínština |
| Zdroj: |
Huan jing ke xue= Huanjing kexue [Huan Jing Ke Xue] 2022 Oct 08; Vol. 43 (10), pp. 4316-4326. |
| DOI: |
10.13227/j.hjkx.202112017 |
| Abstrakt: |
The formation and changes of ozone (O 3 ), a secondary pollutant in the atmosphere, are complex, and ozone forecasting has become one of the current problems in air pollution prevention and control. In this study, the relationships between the near-surface O 3 concentration and meteorological elements (high- and low-level) in Foshan from 2014 to 2017 were analyzed, and the concentration forecasting equation was established, tested, and applied. The results showed that the near-surface O 3 changed closely related to high- and low-level meteorological elements. Meteorological elements such as temperature and sunshine hours were significantly positively correlated with O 3 concentration, whereas relative humidity, total (low) cloud cover, and wind speed were negatively correlated with O 3 . Heavy O 3 pollution often occurred with meteorological conditions of low wind speed, sunny days and few clouds, low relative humidity, longer sunshine time, and higher temperature. The definitions of high-concentration O 3 potential index (HOPI) and wind direction index (WDI) in the Foshan area could better characterize the meteorological conditions of O 3 pollution. Considering 13 meteorological elements, such as HOPI and WDI at different heights, the O 3 concentration forecasting equation in the Foshan area was established using multi-indicator stacking and multiple stepwise regression methods. Using the 2018 data, it was found that the correlation coefficient R between the simulated values and the measured values reached 0.82, and the forecast equation had a good fitting effect and predictability. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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