Suppr超能文献

利用小波分析研究阿拉伯联合酋长国二氧化氮(NO)的周期性。

A study of nitrogen dioxide (NO) periodicity over the United Arab Emirates using wavelet analysis.

机构信息

Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.

出版信息

Sci Rep. 2022 Oct 28;12(1):18144. doi: 10.1038/s41598-022-21937-3.

Abstract

NO and nitric oxide (NO) are the most reactive gases in the atmosphere. The interaction of NO molecules with oxygen, water and other chemicals leads to the formation of acid rain. The presence of NO in the air affects human health and forms a photochemical smog. In this study, we utilize wavelet analysis, namely, the Morlet wavelet, which is a type of continuous wavelet transform, to conduct a spectral analysis of the periodicity of nitrogen dioxide (NO). The study is conducted using data from 14 weather stations located in diverse geographic areas of the United Arab Emirates (UAE) over a period of two years (2019 and 2020). We explain and relate the significance of human activities to the concentration level of NO, particularly considering the effect of the COVID-19 lockdown to the periodicity of NO. The results show that NO concentrations in desert areas such as Liwa and Al Quaa were unaffected by the lockdown period (April-July 2020) resulting from the COVID-19 pandemic. The other stations in the urban areas of Abu Dhabi city, Al Dhafra and Al Ain, showed a reduction in NO during the lockdown. NO is more highly concentrated during winter seasons than during other seasons. The periodicity of NO lasted from a few days up to 16 days in most regions. However, some stations located in the Al Dhafra region, such as Al Ruwais and the Gayathi School stations, exhibited a longer period of more than 32 days with a 0.05 significance test. In the Abu Dhabi region, NO lasted between 64 and 128 days at the Al Mafraq station. The correlation between the NO concentration across several ground stations was studied using wavelet coherence.

摘要

氮氧化物(NO)是大气中最具反应活性的气体之一。NO 分子与氧气、水和其他化学物质的相互作用导致了酸雨的形成。空气中存在的 NO 会影响人类健康,并形成光化学烟雾。在本研究中,我们利用了小波分析,即 Morlet 小波,这是一种连续小波变换,对二氧化氮(NO)的周期性进行谱分析。这项研究是使用来自阿拉伯联合酋长国(UAE)14 个不同地理位置的气象站在两年(2019 年和 2020 年)期间的数据进行的。我们解释并将人类活动对 NO 浓度水平的意义联系起来,特别是考虑到 COVID-19 封锁对 NO 周期性的影响。结果表明,在 COVID-19 大流行期间,Liwa 和 Al Quaa 等沙漠地区的 NO 浓度不受封锁期(2020 年 4 月至 7 月)的影响。阿布扎比市、Al Dhafra 和 Al Ain 等城市地区的其他站点在封锁期间 NO 浓度有所下降。NO 在冬季比其他季节更为集中。NO 的周期性在大多数地区持续几天到 16 天。然而,位于 Al Dhafra 地区的一些站点,如 Al Ruwais 和 Gayathi 学校站点,表现出更长的周期,超过 32 天,具有 0.05 的显著性检验。在阿布扎比地区,Al Mafraq 站的 NO 持续时间在 64 到 128 天之间。使用小波相干性研究了几个地面站的 NO 浓度之间的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53eb/9616953/ba865db8bc4c/41598_2022_21937_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验