Xiaoxiao Zhang, Bin Yuan, Yibo Huangfu, Huizhi Liu, Thomas Karl, Ming Chang, Shiyi Chen, Tao Song, Jintai Lin, Guannan Geng, Hongjuan Li, Eran Tas
{"title":"NOx, O3和Ox的通量测量:排放特性,库存验证和滴定效应","authors":"Xiaoxiao Zhang, Bin Yuan, Yibo Huangfu, Huizhi Liu, Thomas Karl, Ming Chang, Shiyi Chen, Tao Song, Jintai Lin, Guannan Geng, Hongjuan Li, Eran Tas","doi":"10.1016/j.envpol.2025.127213","DOIUrl":null,"url":null,"abstract":"As the precursor of ozone and secondary particles, the incomplete knowledge of NO<sub>x</sub> emission dynamics constrains our ability to fully elucidate air pollution formation. Flux measurements offer new insights into NO<sub>x</sub> emissions and titration effects. Here, we present eddy covariance flux measurements of NO<sub>x</sub>, O<sub>3</sub> and O<sub>x</sub> in urban Beijing during the summer of 2023. The measured NO<sub>x</sub> flux was positive with the 24-h average of 10.8 ± 10.7 nmol/m<sup>2</sup>/s, which is at the lower end of the flux reported in urban regions. The low NO<sub>x</sub> emission strength in urban Beijing may be related to the successful control measures of diesel vehicles, while confirming significant dependence of NO<sub>x</sub> flux with traffic flow. The discrepancies by a factor of 1.3-14.5 between measured NO<sub>x</sub> flux and estimates in emission inventories are observed, indicating most emission inventories may fail to accurately characterize NO<sub>x</sub> emissions in Beijing. Better agreements between flux measurements and satellite retrieval are obtained. In contrast to NO<sub>x</sub>, predominantly downward fluxes were observed for ozone (O<sub>3</sub>) and O<sub>x</sub> (= O<sub>3</sub> + NO<sub>2</sub>). A multiple linear regression (MLR) method is developed to examine the impacts of NO<sub>x</sub> emissions on the ozone downward flux, revealing that NO<sub>x</sub> emissions induce 54 ± 53% of ozone downward flux average over the observation period. This study demonstrates valuable information on emission strength and chemical transformation provided by eddy covariance flux measurements of NO<sub>x</sub>, O<sub>3</sub> and O<sub>x</sub>.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"18 1","pages":""},"PeriodicalIF":7.3000,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Flux Measurements of NOx, O3 and Ox: Emission Characteristics, Inventory Validation and Titration Effects\",\"authors\":\"Xiaoxiao Zhang, Bin Yuan, Yibo Huangfu, Huizhi Liu, Thomas Karl, Ming Chang, Shiyi Chen, Tao Song, Jintai Lin, Guannan Geng, Hongjuan Li, Eran Tas\",\"doi\":\"10.1016/j.envpol.2025.127213\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the precursor of ozone and secondary particles, the incomplete knowledge of NO<sub>x</sub> emission dynamics constrains our ability to fully elucidate air pollution formation. Flux measurements offer new insights into NO<sub>x</sub> emissions and titration effects. Here, we present eddy covariance flux measurements of NO<sub>x</sub>, O<sub>3</sub> and O<sub>x</sub> in urban Beijing during the summer of 2023. The measured NO<sub>x</sub> flux was positive with the 24-h average of 10.8 ± 10.7 nmol/m<sup>2</sup>/s, which is at the lower end of the flux reported in urban regions. The low NO<sub>x</sub> emission strength in urban Beijing may be related to the successful control measures of diesel vehicles, while confirming significant dependence of NO<sub>x</sub> flux with traffic flow. The discrepancies by a factor of 1.3-14.5 between measured NO<sub>x</sub> flux and estimates in emission inventories are observed, indicating most emission inventories may fail to accurately characterize NO<sub>x</sub> emissions in Beijing. Better agreements between flux measurements and satellite retrieval are obtained. In contrast to NO<sub>x</sub>, predominantly downward fluxes were observed for ozone (O<sub>3</sub>) and O<sub>x</sub> (= O<sub>3</sub> + NO<sub>2</sub>). A multiple linear regression (MLR) method is developed to examine the impacts of NO<sub>x</sub> emissions on the ozone downward flux, revealing that NO<sub>x</sub> emissions induce 54 ± 53% of ozone downward flux average over the observation period. This study demonstrates valuable information on emission strength and chemical transformation provided by eddy covariance flux measurements of NO<sub>x</sub>, O<sub>3</sub> and O<sub>x</sub>.\",\"PeriodicalId\":311,\"journal\":{\"name\":\"Environmental Pollution\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2025-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Pollution\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1016/j.envpol.2025.127213\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Pollution","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.envpol.2025.127213","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Flux Measurements of NOx, O3 and Ox: Emission Characteristics, Inventory Validation and Titration Effects
As the precursor of ozone and secondary particles, the incomplete knowledge of NOx emission dynamics constrains our ability to fully elucidate air pollution formation. Flux measurements offer new insights into NOx emissions and titration effects. Here, we present eddy covariance flux measurements of NOx, O3 and Ox in urban Beijing during the summer of 2023. The measured NOx flux was positive with the 24-h average of 10.8 ± 10.7 nmol/m2/s, which is at the lower end of the flux reported in urban regions. The low NOx emission strength in urban Beijing may be related to the successful control measures of diesel vehicles, while confirming significant dependence of NOx flux with traffic flow. The discrepancies by a factor of 1.3-14.5 between measured NOx flux and estimates in emission inventories are observed, indicating most emission inventories may fail to accurately characterize NOx emissions in Beijing. Better agreements between flux measurements and satellite retrieval are obtained. In contrast to NOx, predominantly downward fluxes were observed for ozone (O3) and Ox (= O3 + NO2). A multiple linear regression (MLR) method is developed to examine the impacts of NOx emissions on the ozone downward flux, revealing that NOx emissions induce 54 ± 53% of ozone downward flux average over the observation period. This study demonstrates valuable information on emission strength and chemical transformation provided by eddy covariance flux measurements of NOx, O3 and Ox.
期刊介绍:
Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health.
Subject areas include, but are not limited to:
• Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies;
• Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change;
• Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects;
• Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects;
• Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest;
• New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.