Unveiling the impact of temperature inversions on air quality: a comprehensive analysis of polluted and severe polluted days in Istanbul

IF 2.3 4区 地球科学 Acta Geophysica Pub Date : 2024-07-25 DOI:10.1007/s11600-024-01417-0
Veli Yavuz
{"title":"Unveiling the impact of temperature inversions on air quality: a comprehensive analysis of polluted and severe polluted days in Istanbul","authors":"Veli Yavuz","doi":"10.1007/s11600-024-01417-0","DOIUrl":null,"url":null,"abstract":"<p>The main reason that deteriorates air quality in mega cities is the increase in concentrations of air pollutant parameters. Meteorological parameters and atmospheric conditions play an important role in the increase of pollutant concentrations. This study provides insights into temperature inversions (TIs) during polluted days (PDs) and severe polluted days (SPDs) in Istanbul. Key findings include higher inversion frequencies during SPDs, particularly at 0000 UTC, along with a positive relationship between inversion frequencies and pollutant concentrations, notably with a 99% occurrence of inversions at 0000 UTC along SPDs. Analysis of inversion subgroups reveals surface-based inversions (SBIs) dominating at 0000 UTC, while elevated (EIs) and lower-troposphere inversions (LTIs) prevail at 1200 UTC. Winter months exhibit increased frequency and intensity of SBIs, aligning with expectations of subsidence motion under high-pressure systems. Inversion strengths and depths are higher during SPDs, with the highest strengths observed in winter at 0000 UTC and the deepest inversions occurring in winter for SPDs. Generally, the highest inversion strengths and shallowest inversion depths were observed in SBIs. EIs had the lowest frequency during the winter months, while LTIs occurred more often in the spring months. These findings underscore the importance of understanding TI patterns for effective air quality management in Istanbul.</p>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Geophysica","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s11600-024-01417-0","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The main reason that deteriorates air quality in mega cities is the increase in concentrations of air pollutant parameters. Meteorological parameters and atmospheric conditions play an important role in the increase of pollutant concentrations. This study provides insights into temperature inversions (TIs) during polluted days (PDs) and severe polluted days (SPDs) in Istanbul. Key findings include higher inversion frequencies during SPDs, particularly at 0000 UTC, along with a positive relationship between inversion frequencies and pollutant concentrations, notably with a 99% occurrence of inversions at 0000 UTC along SPDs. Analysis of inversion subgroups reveals surface-based inversions (SBIs) dominating at 0000 UTC, while elevated (EIs) and lower-troposphere inversions (LTIs) prevail at 1200 UTC. Winter months exhibit increased frequency and intensity of SBIs, aligning with expectations of subsidence motion under high-pressure systems. Inversion strengths and depths are higher during SPDs, with the highest strengths observed in winter at 0000 UTC and the deepest inversions occurring in winter for SPDs. Generally, the highest inversion strengths and shallowest inversion depths were observed in SBIs. EIs had the lowest frequency during the winter months, while LTIs occurred more often in the spring months. These findings underscore the importance of understanding TI patterns for effective air quality management in Istanbul.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
揭示温度倒挂对空气质量的影响:对伊斯坦布尔污染天和严重污染天的综合分析
特大城市空气质量恶化的主要原因是空气污染物参数浓度的增加。气象参数和大气条件对污染物浓度的增加起着重要作用。本研究深入分析了伊斯坦布尔污染天(PD)和严重污染天(SPD)期间的温度倒挂现象(TI)。主要发现包括:SPD 期间的逆转频率较高,尤其是在 0:00 UTC;逆转频率与污染物浓度之间存在正相关关系,尤其是 SPD 期间 0:00 UTC 的逆转发生率高达 99%。对逆转亚群的分析表明,地表逆转(SBIs)在 0000 UTC 占主导地位,而高空逆转(EIs)和低对流层逆转(LTIs)在 1200 UTC 占主导地位。冬季出现 SBI 的频率和强度都有所增加,这与高压系统下的下沉运动预期一致。在 SPD 期间,逆转强度和深度都较高,冬季 0000 UTC 观测到的逆转强度最高,SPD 冬季出现的逆转最深。一般来说,在 SBIs 期间观测到的逆转强度最高,逆转深度最浅。EIs在冬季出现的频率最低,而LTIs在春季出现的频率较高。这些发现强调了了解 TI 模式对于有效管理伊斯坦布尔空气质量的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Acta Geophysica
Acta Geophysica GEOCHEMISTRY & GEOPHYSICS-
CiteScore
3.80
自引率
13.00%
发文量
251
期刊介绍: Acta Geophysica is open to all kinds of manuscripts including research and review articles, short communications, comments to published papers, letters to the Editor as well as book reviews. Some of the issues are fully devoted to particular topics; we do encourage proposals for such topical issues. We accept submissions from scientists world-wide, offering high scientific and editorial standard and comprehensive treatment of the discussed topics.
期刊最新文献
Long-term Aftershock Properties of the Catastrophic 6 February 2023 Kahramanmaraş (Türkiye) Earthquake Sequence Comparative assessment of gridded soil moisture data products (2000–2019) for drought detection: A study over Indian region Application of airborne gamma-ray spectrometry in geological lithology mapping—a case study of a region in the Qinling Mountains, China Contemporary seismic moment budget along the Nepal Himalaya derived from high-resolution InSAR and GPS velocity field SCP parameters estimation for catalogs with uncertain seismic magnitude values
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1