Ozone Formation Sensitivity at Various Altitudes: Seeking the Optimal Method for Sensitivity Threshold Determination

IF 8.8 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Environmental Science & Technology Letters Environ. Pub Date : 2024-11-15 DOI:10.1021/acs.estlett.4c00777
Yikai Li, Chengzhi Xing*, Qianqian Hong*, Peiyuan Jiao, Haochen Peng, Zhijian Tang and Cheng Liu*, 
{"title":"Ozone Formation Sensitivity at Various Altitudes: Seeking the Optimal Method for Sensitivity Threshold Determination","authors":"Yikai Li,&nbsp;Chengzhi Xing*,&nbsp;Qianqian Hong*,&nbsp;Peiyuan Jiao,&nbsp;Haochen Peng,&nbsp;Zhijian Tang and Cheng Liu*,&nbsp;","doi":"10.1021/acs.estlett.4c00777","DOIUrl":null,"url":null,"abstract":"<p >Several methods exist for determining ozone formation sensitivity using observational data, each potentially yielding different sensitivity classifications. This study examined the seasonal characteristics of MAX-DOAS data collected from both urban and rural sites in the Beijing–Tianjin–Hebei region. A multiple linear regression model was employed to isolate secondary HCHO data. The thresholds derived from four distinct methods were assessed, and the performance of these methods was evaluated across various elevations at both sites. Based on the findings, recommendations and the applicable ranges for each method are provided.</p>","PeriodicalId":37,"journal":{"name":"Environmental Science & Technology Letters Environ.","volume":"11 12","pages":"1334–1339 1334–1339"},"PeriodicalIF":8.8000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acs.estlett.4c00777","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Science & Technology Letters Environ.","FirstCategoryId":"1","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.estlett.4c00777","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Several methods exist for determining ozone formation sensitivity using observational data, each potentially yielding different sensitivity classifications. This study examined the seasonal characteristics of MAX-DOAS data collected from both urban and rural sites in the Beijing–Tianjin–Hebei region. A multiple linear regression model was employed to isolate secondary HCHO data. The thresholds derived from four distinct methods were assessed, and the performance of these methods was evaluated across various elevations at both sites. Based on the findings, recommendations and the applicable ranges for each method are provided.

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
不同高度的臭氧形成灵敏度:寻找灵敏度阈值确定的最佳方法
利用观测数据确定臭氧形成灵敏度的方法有多种,每种方法都可能产生不同的灵敏度分类。本研究考察了从京津冀地区城市和农村站点收集的 MAX-DOAS 数据的季节特征。采用多元线性回归模型来分离二级 HCHO 数据。对四种不同方法得出的阈值进行了评估,并对这些方法在两个站点不同海拔高度的性能进行了评估。根据评估结果,对每种方法提出了建议和适用范围。
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
Environmental Science & Technology Letters Environ.
Environmental Science & Technology Letters Environ. ENGINEERING, ENVIRONMENTALENVIRONMENTAL SC-ENVIRONMENTAL SCIENCES
CiteScore
17.90
自引率
3.70%
发文量
163
期刊介绍: Environmental Science & Technology Letters serves as an international forum for brief communications on experimental or theoretical results of exceptional timeliness in all aspects of environmental science, both pure and applied. Published as soon as accepted, these communications are summarized in monthly issues. Additionally, the journal features short reviews on emerging topics in environmental science and technology.
期刊最新文献
Issue Editorial Masthead Issue Publication Information Our Selections for the Best ES&T Letters Papers in 2024 Filter-PUF Tandem Exhaust Sampling Corrects Underestimation of Vehicular Nitrated Phenols Changes in PM2.5-Attributable Mortality in the US by Sector, 2002–2019
×
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:604180095
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