Understanding Temporal Patterns and Determinants of Ground-Level Ozone
文献类型：期刊论文
| 作者 | Wang, Junshun; Dong, Jin; Guo, Jingxian; Cai, Panli; Li, Runkui4,5,6; Zhang, Xiaoping; Xu, Qun1,3; Song, Xianfeng5 |
| 刊名 | ATMOSPHERE
 |
| 出版日期 | 2023-03-01 |
| 卷号 | 14期号:3页码:604 |
| 关键词 | ozone meteorological factor temporal variation wavelet analysis geographic detector |
| DOI | 10.3390/atmos14030604 |
| 文献子类 | Article |
| 英文摘要 | Ground-level ozone pollution causes adverse health effects, and the detailed influences of meteorological factors and precursors on ozone at an hourly scale need to be further understood. We conducted an in-depth analysis of the phase relationships and periods of ground-level ozone in Shunyi station, Beijing, and contributing factors using wavelet analysis and geographic detectors in 2019. The combined effects of different factors on ozone were also calculated. We found that temperature had the strongest influence on ozone, and they were in phase over time. NO2 had the greatest explanatory power for the temporal variations in ozone among precursors. The wavelet power spectrum indicated that ozone had a periodic effect on multiple time scales, the most significant being the 22-26 h period. The wavelet coherence spectrum showed that in January-March and October-December, NO2 and ozone had an antiphase relationship, largely complementary to the in-phase relationship of temperature and ozone. Thus, the main influencing factors varied during the year. The interactions of temperature with NO2 significantly affected the temporal variations in ozone, and explanatory power surpassed 70%. The findings can deepen understanding of the effects of meteorological factors and precursors on ozone and provide suggestions for mitigating ozone pollution. |
| WOS关键词 | ARTIFICIAL NEURAL-NETWORK ; SURFACE OZONE ; TROPOSPHERIC OZONE ; METEOROLOGICAL INFLUENCES ; GEOGRAPHICAL DETECTORS ; RIVER DELTA ; AIR-QUALITY ; POLLUTION ; CHINA ; PRECURSORS |
| WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
| WOS记录号 | WOS:000957396400001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190518]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Chinese Acad Med Sci, Peking Union Med Coll, Inst Basic Med Sci, Sch Basic Med,Dept Epidemiol & Biostat, Beijing 100005, Peoples R China 2.Chinese Acad Med Sci, Peking Union Med Coll, Ctr Environm & Hlth Sci, Beijing 100005, Peoples R China 3.Univ Chinese Acad Sci, Beijing Yanshan Earth Crit Zone Natl Res Stn, Beijing 101408, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 5.Binzhou Inst Technol, Binzhou 256606, Peoples R China 6.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Junshun,Dong, Jin,Guo, Jingxian,et al. Understanding Temporal Patterns and Determinants of Ground-Level Ozone[J]. ATMOSPHERE,2023,14(3):604. |
| APA | Wang, Junshun.,Dong, Jin.,Guo, Jingxian.,Cai, Panli.,Li, Runkui.,...&Song, Xianfeng.(2023).Understanding Temporal Patterns and Determinants of Ground-Level Ozone.ATMOSPHERE,14(3),604. |
| MLA | Wang, Junshun,et al."Understanding Temporal Patterns and Determinants of Ground-Level Ozone".ATMOSPHERE 14.3(2023):604. |
入库方式： OAI收割
来源：地理科学与资源研究所
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