Multiphase Reactions of Hydrocarbons Into an Air Quality Model With CAMx-UNIPAR: Impacts of Humidity and NOx on Secondary Organic Aerosol Formation in the Southern USA
Yujin Jo, Myoseon Jang, Azad Madhu, Jiwon Choi, Jinsoo Park
{"title":"Multiphase Reactions of Hydrocarbons Into an Air Quality Model With CAMx-UNIPAR: Impacts of Humidity and NOx on Secondary Organic Aerosol Formation in the Southern USA","authors":"Yujin Jo, Myoseon Jang, Azad Madhu, Jiwon Choi, Jinsoo Park","doi":"10.1029/2024MS004226","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <p>Secondary organic aerosol (SOA) mass in the Southern USA during winter-spring 2022 was simulated by integrating Comprehensive Air quality Model with extensions (CAMx) with the UNIfied Partitioning-Aerosol phase Reaction (UNIPAR) model, which predicts SOA formation via multiphase reactions of hydrocarbons. UNIPAR streamlines multiphase partitioning of oxygenated products and their heterogeneous reactions by using explicitly predicted products originating from 10 aromatics, 3 biogenics, and linear/branched alkanes (C9-C24). UNIPAR simulations were compared with those using Secondary Organic Aerosol Partitioning (SOAP) model, which uses simple surrogate products for each precursor. Both UNIPAR and SOAP showed similar tendencies in SOA mass but slightly underpredicted against observations at given five ground sites. However, SOA compositions and their sensitivity to environmental variables (sunlight, humidity, NO<sub>x</sub>, and SO<sub>2</sub>) were different between two models. In CAMx-UNIPAR, SOA originated predominantly from alkanes, terpenes, and isoprene, and was influenced by humidity, showing high SOA concentrations with wet-inorganic salts, which accelerated aqueous reactions of reactive organic products. NO<sub>2</sub> was positively correlated with biogenic SOA because elevated levels of nitrate radicals and hygroscopic nitrate aerosol effectively oxidized biogenic hydrocarbons at night and promoted SOA growth via organic heterogeneous chemistry, respectively. Anthropogenic SOA, which formed mainly via daytime oxidation with OH radicals, was weakly and negatively correlated with NO<sub>2</sub> in cities. In CAMx-UNIPAR, the sensitivity of SOA to aerosol acidity (neutral vs. acidic aerosol at cation/anion = 0.62) was dominated by isoprene SOA. The reduction of NO<sub>x</sub> emissions could effectively mitigate SOA burdens in the Southern USA where biogenic hydrocarbons are abundant.</p>\n </section>\n </div>","PeriodicalId":14881,"journal":{"name":"Journal of Advances in Modeling Earth Systems","volume":"16 10","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024MS004226","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advances in Modeling Earth Systems","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2024MS004226","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Secondary organic aerosol (SOA) mass in the Southern USA during winter-spring 2022 was simulated by integrating Comprehensive Air quality Model with extensions (CAMx) with the UNIfied Partitioning-Aerosol phase Reaction (UNIPAR) model, which predicts SOA formation via multiphase reactions of hydrocarbons. UNIPAR streamlines multiphase partitioning of oxygenated products and their heterogeneous reactions by using explicitly predicted products originating from 10 aromatics, 3 biogenics, and linear/branched alkanes (C9-C24). UNIPAR simulations were compared with those using Secondary Organic Aerosol Partitioning (SOAP) model, which uses simple surrogate products for each precursor. Both UNIPAR and SOAP showed similar tendencies in SOA mass but slightly underpredicted against observations at given five ground sites. However, SOA compositions and their sensitivity to environmental variables (sunlight, humidity, NOx, and SO2) were different between two models. In CAMx-UNIPAR, SOA originated predominantly from alkanes, terpenes, and isoprene, and was influenced by humidity, showing high SOA concentrations with wet-inorganic salts, which accelerated aqueous reactions of reactive organic products. NO2 was positively correlated with biogenic SOA because elevated levels of nitrate radicals and hygroscopic nitrate aerosol effectively oxidized biogenic hydrocarbons at night and promoted SOA growth via organic heterogeneous chemistry, respectively. Anthropogenic SOA, which formed mainly via daytime oxidation with OH radicals, was weakly and negatively correlated with NO2 in cities. In CAMx-UNIPAR, the sensitivity of SOA to aerosol acidity (neutral vs. acidic aerosol at cation/anion = 0.62) was dominated by isoprene SOA. The reduction of NOx emissions could effectively mitigate SOA burdens in the Southern USA where biogenic hydrocarbons are abundant.
2022 年冬春季美国南部的二次有机气溶胶(SOA)质量是通过将带扩展功能的综合空气质量模型(CAMx)与 UNIfied Partitioning-Aerosol phase Reaction(UNIPAR)模型相集成来模拟的,该模型通过碳氢化合物的多相反应来预测 SOA 的形成。UNIPAR 通过使用明确预测的 10 种芳烃、3 种生物源和线性/支链烷烃(C9-C24)产物,简化了含氧产物的多相分配及其异相反应。UNIPAR 模拟结果与使用二次有机气溶胶分馏(SOAP)模型进行的模拟结果进行了比较。UNIPAR 和 SOAP 在 SOA 质量方面表现出相似的趋势,但对五个地面观测点的观测结果预测略低。然而,两种模式的 SOA 构成及其对环境变量(阳光、湿度、氮氧化物和二氧化硫)的敏感性是不同的。在 CAMx-UNIPAR 模型中,SOA 主要来自烷烃、萜烯和异戊二烯,并受湿度影响,湿无机盐的 SOA 浓度较高,加速了活性有机产物的水反应。二氧化氮与生物源 SOA 呈正相关,因为硝酸自由基和吸湿性硝酸气溶胶水平的升高分别在夜间有效地氧化了生物源碳氢化合物,并通过有机异质化学促进了 SOA 的增长。人为 SOA 主要在白天通过 OH 自由基氧化形成,与城市中的 NO2 呈弱负相关。在 CAMx-UNIPAR 中,异戊二烯 SOA 主导了 SOA 对气溶胶酸度的敏感性(阳离子/阴离子 = 0.62 时的中性气溶胶与酸性气溶胶)。在生物碳氢化合物丰富的美国南部,减少氮氧化物的排放可以有效减轻 SOA 负担。
期刊介绍:
The Journal of Advances in Modeling Earth Systems (JAMES) is committed to advancing the science of Earth systems modeling by offering high-quality scientific research through online availability and open access licensing. JAMES invites authors and readers from the international Earth systems modeling community.
Open access. Articles are available free of charge for everyone with Internet access to view and download.
Formal peer review.
Supplemental material, such as code samples, images, and visualizations, is published at no additional charge.
No additional charge for color figures.
Modest page charges to cover production costs.
Articles published in high-quality full text PDF, HTML, and XML.
Internal and external reference linking, DOI registration, and forward linking via CrossRef.