Estimation of nitrogen dioxide levels on streets from Fortaleza Brazil using passive sampling and multivariate analysis

Q3 Physics and Astronomy
Francisco Wagner De Sousa, Maxwell Lima Maia, Wendy Fernandes Lavigne Quintanilha, D. R. Cassiano, B. V. Bertoncini, Ronaldo Ferreira do Nascimento, Cleidiane Silva Oliveira, Jefferson Pereira Ribeiro
{"title":"Estimation of nitrogen dioxide levels on streets from Fortaleza Brazil using passive sampling and multivariate analysis","authors":"Francisco Wagner De Sousa, Maxwell Lima Maia, Wendy Fernandes Lavigne Quintanilha, D. R. Cassiano, B. V. Bertoncini, Ronaldo Ferreira do Nascimento, Cleidiane Silva Oliveira, Jefferson Pereira Ribeiro","doi":"10.26850/1678-4618.eq.v49.2024.e1505","DOIUrl":null,"url":null,"abstract":"The increase in the fleet of motor vehicles circulating in urban centers is one of the main generators of gaseous pollutants harmful to human health and the environment. Pollutants can be economically and effectively monitored through passive sampling. This study aims to estimate NO2 levels on roads of Fortaleza city /CE using the passive sampling method. 12 campaigns covered the rainy (March-June) and the dry (July-November) seasons in 2019. The seasonal averages of NO2 in the rainy season were higher than the dry one, and Almirante Rubim Street showed the greatest difference in the averages: 26.6 µg m-3 in the rainy and 19.3 µg m-3 in the dry season. The principal component analysis applied to the averages of NO2 concentration in the rainy and dry seasons, vehicle traffic and Height of the road/width ratio indicated that components 1, 2 and 3 explain 94.4% of the studied cases. Passive sampling proved to be efficient, contributing to the production of unpublished data about NO2 levels in streets of Fortaleza/Ceará/Brazil from mobile sources.","PeriodicalId":35894,"journal":{"name":"Ecletica Quimica","volume":"42 18","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecletica Quimica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26850/1678-4618.eq.v49.2024.e1505","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Physics and Astronomy","Score":null,"Total":0}
引用次数: 0

Abstract

The increase in the fleet of motor vehicles circulating in urban centers is one of the main generators of gaseous pollutants harmful to human health and the environment. Pollutants can be economically and effectively monitored through passive sampling. This study aims to estimate NO2 levels on roads of Fortaleza city /CE using the passive sampling method. 12 campaigns covered the rainy (March-June) and the dry (July-November) seasons in 2019. The seasonal averages of NO2 in the rainy season were higher than the dry one, and Almirante Rubim Street showed the greatest difference in the averages: 26.6 µg m-3 in the rainy and 19.3 µg m-3 in the dry season. The principal component analysis applied to the averages of NO2 concentration in the rainy and dry seasons, vehicle traffic and Height of the road/width ratio indicated that components 1, 2 and 3 explain 94.4% of the studied cases. Passive sampling proved to be efficient, contributing to the production of unpublished data about NO2 levels in streets of Fortaleza/Ceará/Brazil from mobile sources.
利用被动采样和多元分析估算巴西福塔雷萨街道的二氧化氮水平
城市中心机动车辆的增加是产生对人类健康和环境有害的气体污染物的主要原因之一。通过被动采样可以经济有效地监测污染物。本研究旨在利用被动采样法估算福塔莱萨市道路上的二氧化氮水平。12 次活动涵盖了 2019 年的雨季(3 月至 6 月)和旱季(7 月至 11 月)。雨季的二氧化氮季节平均值高于旱季,其中 Almirante Rubim 街的平均值差异最大:雨季为 26.6 微克/立方米,旱季为 19.3 微克/立方米。对雨季和旱季的二氧化氮平均浓度、车辆流量和路宽比高度进行的主成分分析表明,成分 1、2 和 3 可以解释 94.4% 的研究案例。被动采样被证明是有效的,有助于获得巴西福塔莱萨/卡拉街道上来自移动源的二氧化氮水平的未公开数据。
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 求助全文
来源期刊
Ecletica Quimica
Ecletica Quimica Chemistry-Chemistry (all)
CiteScore
1.70
自引率
0.00%
发文量
32
审稿时长
28 weeks
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信