View in EDS

Inconsistent capacity of potential HONO sources to enhance secondary pollutants: Evidence from WRF-Chem modeling.

Saved in:
Bibliographic Details
Title: Inconsistent capacity of potential HONO sources to enhance secondary pollutants: Evidence from WRF-Chem modeling.
Authors: Zhang, Jingwei1,2 (AUTHOR), Ran, Haiyan2,3 (AUTHOR), Qu, Yu2 (AUTHOR), Lian, Chaofan4,5 (AUTHOR), Wang, Weigang1,4,5 (AUTHOR) wangwg@iccas.ac.cn, Zhang, Yusheng6 (AUTHOR), Zheng, Feixue6 (AUTHOR), Fan, Xiaolong6 (AUTHOR), Lu, Dawei7 (AUTHOR), Yan, Chao8 (AUTHOR), Daellenbach, Kaspar R.8 (AUTHOR), Ma, Zhiqiang9 (AUTHOR), Liu, Yongchun6 (AUTHOR), Ge, Maofa4,5 (AUTHOR), Kulmala, Markku6,8 (AUTHOR), An, Junling1,2,3 (AUTHOR) anjl@mail.iap.ac.cn
Source: Journal of Environmental Sciences (Elsevier). Dec2025, Vol. 158, p812-830. 19p.
Subject Terms: *Aerosols, *Air pollution, *Pollutants, *Atmospheric aerosols, Nitrous acid, Atmospheric models, Peroxyacetyl nitrate
Geographic Terms: China, Beijing (China)
Abstract: Nitrous acid (HONO) is a crucial source of OH radicals in the troposphere, significantly enhancing secondary pollutants like secondary organic aerosols (SOA) and peroxyacetyl nitrates (PAN). While prior research has examined HONO sources and their total impacts on secondary pollution, the specific enhancement capacity of each individual HONO source remains underexplored. This study uses observational data from 2015 to 2018 for HONO, SOA, and PAN across six sites in China, combined with WRF-Chem model adding six potential HONO sources to evaluate their capacity: traffic emissions (E_traffic), soil emissions (E_soil), indoor-outdoor exchange (E_indoor), nitrate photolysis (P_nit), and NO 2 heterogeneous reactions on aerosol and ground surfaces (Het_a, Het_g). The simulated HONO contributions near the ground in urban Beijing were: 12 % from NO + OH (default source), 10 %–20 % from E_traffic, 1 %–12 % from P_nit, 2 %–10 % from Het_a, and 50 %–70 % from Het_g. For SOA and PAN, we calculated incremental contributions enhanced by each HONO source and derived enhancement ratios (ERs) normalized against HONO's contribution: ∼7 for P_nit, ∼2 for Het_a, ∼0.9 for Het_g, ∼0.8 for E_soil, ∼0.3 for E_traffic, and ∼0.1 for E_indoor. HONO sources' capacity to enhance secondary pollutants varies, being larger for aerosol-related sources. Vertical analysis on HONO concentration, spatial distribution, RO x radical cycling rates, and OH enhancements revealed that aerosol-related HONO sources, especially P_nit, contribute more to secondary pollution. Future research should focus more on assessing real-world impacts of HONO sources, besides identifying their budgets. Additionally, uptake coefficient (γ) and nitrate photolysis frequency (J nitrate) critically affect HONO and secondary pollutant formation, necessitating further investigations. [Display omitted] [ABSTRACT FROM AUTHOR]
Copyright of Journal of Environmental Sciences (Elsevier) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: GreenFILE
FullText Text:
  Availability: 0
Header DbId: 8gh
DbLabel: GreenFILE
An: 187412041
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Inconsistent capacity of potential HONO sources to enhance secondary pollutants: Evidence from WRF-Chem modeling.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Jingwei%22">Zhang, Jingwei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ran%2C+Haiyan%22">Ran, Haiyan</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qu%2C+Yu%22">Qu, Yu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lian%2C+Chaofan%22">Lian, Chaofan</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Weigang%22">Wang, Weigang</searchLink><relatesTo>1,4,5</relatesTo> (AUTHOR)<i> wangwg@iccas.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yusheng%22">Zhang, Yusheng</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zheng%2C+Feixue%22">Zheng, Feixue</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fan%2C+Xiaolong%22">Fan, Xiaolong</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Dawei%22">Lu, Dawei</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yan%2C+Chao%22">Yan, Chao</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Daellenbach%2C+Kaspar+R%2E%22">Daellenbach, Kaspar R.</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+Zhiqiang%22">Ma, Zhiqiang</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yongchun%22">Liu, Yongchun</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ge%2C+Maofa%22">Ge, Maofa</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kulmala%2C+Markku%22">Kulmala, Markku</searchLink><relatesTo>6,8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22An%2C+Junling%22">An, Junling</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> anjl@mail.iap.ac.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Environmental+Sciences+%28Elsevier%29%22">Journal of Environmental Sciences (Elsevier)</searchLink>. Dec2025, Vol. 158, p812-830. 19p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Aerosols%22">Aerosols</searchLink><br />*<searchLink fieldCode="DE" term="%22Air+pollution%22">Air pollution</searchLink><br />*<searchLink fieldCode="DE" term="%22Pollutants%22">Pollutants</searchLink><br />*<searchLink fieldCode="DE" term="%22Atmospheric+aerosols%22">Atmospheric aerosols</searchLink><br /><searchLink fieldCode="DE" term="%22Nitrous+acid%22">Nitrous acid</searchLink><br /><searchLink fieldCode="DE" term="%22Atmospheric+models%22">Atmospheric models</searchLink><br /><searchLink fieldCode="DE" term="%22Peroxyacetyl+nitrate%22">Peroxyacetyl nitrate</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink><br /><searchLink fieldCode="DE" term="%22Beijing+%28China%29%22">Beijing (China)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Nitrous acid (HONO) is a crucial source of OH radicals in the troposphere, significantly enhancing secondary pollutants like secondary organic aerosols (SOA) and peroxyacetyl nitrates (PAN). While prior research has examined HONO sources and their total impacts on secondary pollution, the specific enhancement capacity of each individual HONO source remains underexplored. This study uses observational data from 2015 to 2018 for HONO, SOA, and PAN across six sites in China, combined with WRF-Chem model adding six potential HONO sources to evaluate their capacity: traffic emissions (E_traffic), soil emissions (E_soil), indoor-outdoor exchange (E_indoor), nitrate photolysis (P_nit), and NO 2 heterogeneous reactions on aerosol and ground surfaces (Het_a, Het_g). The simulated HONO contributions near the ground in urban Beijing were: 12 % from NO + OH (default source), 10 %–20 % from E_traffic, 1 %–12 % from P_nit, 2 %–10 % from Het_a, and 50 %–70 % from Het_g. For SOA and PAN, we calculated incremental contributions enhanced by each HONO source and derived enhancement ratios (ERs) normalized against HONO's contribution: ∼7 for P_nit, ∼2 for Het_a, ∼0.9 for Het_g, ∼0.8 for E_soil, ∼0.3 for E_traffic, and ∼0.1 for E_indoor. HONO sources' capacity to enhance secondary pollutants varies, being larger for aerosol-related sources. Vertical analysis on HONO concentration, spatial distribution, RO x radical cycling rates, and OH enhancements revealed that aerosol-related HONO sources, especially P_nit, contribute more to secondary pollution. Future research should focus more on assessing real-world impacts of HONO sources, besides identifying their budgets. Additionally, uptake coefficient (γ) and nitrate photolysis frequency (J nitrate) critically affect HONO and secondary pollutant formation, necessitating further investigations. [Display omitted] [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Environmental Sciences (Elsevier) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=187412041
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.jes.2025.02.023
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 812
    Subjects:
      – SubjectFull: Aerosols
        Type: general
      – SubjectFull: Air pollution
        Type: general
      – SubjectFull: Pollutants
        Type: general
      – SubjectFull: Atmospheric aerosols
        Type: general
      – SubjectFull: Nitrous acid
        Type: general
      – SubjectFull: Atmospheric models
        Type: general
      – SubjectFull: Peroxyacetyl nitrate
        Type: general
      – SubjectFull: China
        Type: general
      – SubjectFull: Beijing (China)
        Type: general
    Titles:
      – TitleFull: Inconsistent capacity of potential HONO sources to enhance secondary pollutants: Evidence from WRF-Chem modeling.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhang, Jingwei
      – PersonEntity:
          Name:
            NameFull: Ran, Haiyan
      – PersonEntity:
          Name:
            NameFull: Qu, Yu
      – PersonEntity:
          Name:
            NameFull: Lian, Chaofan
      – PersonEntity:
          Name:
            NameFull: Wang, Weigang
      – PersonEntity:
          Name:
            NameFull: Zhang, Yusheng
      – PersonEntity:
          Name:
            NameFull: Zheng, Feixue
      – PersonEntity:
          Name:
            NameFull: Fan, Xiaolong
      – PersonEntity:
          Name:
            NameFull: Lu, Dawei
      – PersonEntity:
          Name:
            NameFull: Yan, Chao
      – PersonEntity:
          Name:
            NameFull: Daellenbach, Kaspar R.
      – PersonEntity:
          Name:
            NameFull: Ma, Zhiqiang
      – PersonEntity:
          Name:
            NameFull: Liu, Yongchun
      – PersonEntity:
          Name:
            NameFull: Ge, Maofa
      – PersonEntity:
          Name:
            NameFull: Kulmala, Markku
      – PersonEntity:
          Name:
            NameFull: An, Junling
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 10010742
          Numbering:
            – Type: volume
              Value: 158
          Titles:
            – TitleFull: Journal of Environmental Sciences (Elsevier)
              Type: main
ResultId 1