Articles | Volume 24, issue 13
https://doi.org/10.5194/acp-24-7623-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-7623-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global estimates of ambient reactive nitrogen components during 2000–2100 based on the multi-stage model
Rui Li
CORRESPONDING AUTHOR
Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
Institute of Eco-Chongming (IEC), 20 Cuiniao Road, Chenjia Town, Chongming District, Shanghai, 202162, China
Yining Gao
Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
Lijia Zhang
Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
Yubing Shen
Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
Tianzhao Xu
Department of Research, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, 201318, China
Department of Research, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, 201318, China
Gehui Wang
Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
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Short summary
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Short summary
An ensemble machine-learning model coupled with chemical transport models (CTMs) was applied to assess the impact of COVID-19 on ambient benzene. The change ratio of the deweathered benzene concentration from the pre-lockdown to lockdown period was in the order of India (−23.6 %) > Europe (−21.9 %) > the United States (−16.2 %) > China (−15.6 %), which might be associated with local serious benzene pollution and substantial emission reduction in the industrial and transportation sectors.
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Atmos. Chem. Phys., 22, 15621–15635, https://doi.org/10.5194/acp-22-15621-2022, https://doi.org/10.5194/acp-22-15621-2022, 2022
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Over the past decade, the relative abundance of NH4NO3 in aerosol has been enhanced in most urban areas of China, which profoundly affects the PM2.5 pollution episodes. Our work finds that fine-particle nitrate and ammonium exhibited distinct, different physicochemical behaviors in the aerosol aging process.
Shijie Liu, Dandan Huang, Yiqian Wang, Si Zhang, Xiaodi Liu, Can Wu, Wei Du, and Gehui Wang
Atmos. Chem. Phys., 21, 17759–17773, https://doi.org/10.5194/acp-21-17759-2021, https://doi.org/10.5194/acp-21-17759-2021, 2021
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A series of chamber experiments was performed to probe the individual and common effects of NH3 and NOx on toluene secondary organic aerosol (SOA) formation through OH photooxidation. The synergetic effects of NH3 and NOx on the toluene SOA concentration and optical absorption were observed. The higher-volatility products formed in the presence of NOx could precipitate into the particle phase when NH3 was added. The formation pathways of N-containing OAs through NOx or NH3 are also discussed.
Rui Li, Yilong Zhao, Hongbo Fu, Jianmin Chen, Meng Peng, and Chunying Wang
Atmos. Chem. Phys., 21, 8677–8692, https://doi.org/10.5194/acp-21-8677-2021, https://doi.org/10.5194/acp-21-8677-2021, 2021
Short summary
Short summary
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Short summary
Short summary
Due to the reduced anthropogenic emissions during the COVID-19 lockdown, mainly from the transportation and industrial sectors, PM2.5 decreased significantly in the whole Yangtze River Delta (YRD) and its major cities. However, the contributions and relative importance of different source sectors and regions changed differently, indicating that control strategies should be adjusted accordingly for further pollution control.
Xiaona Shang, Ling Li, Xinlian Zhang, Huihui Kang, Guodong Sui, Gehui Wang, Xingnan Ye, Hang Xiao, and Jianmin Chen
Atmos. Meas. Tech., 14, 1037–1045, https://doi.org/10.5194/amt-14-1037-2021, https://doi.org/10.5194/amt-14-1037-2021, 2021
Short summary
Short summary
Oxidative stress can be used to evaluate not only adverse health effects but also adverse ecological effects. However, little research uses eco-toxicological assay to assess the risks posed by particle matter to non-human biomes. One important reason might be that the concentration of toxic components of atmospheric particles is far below the high detection limit of eco-toxic measurement. To solve the rapid detection problem, we extended a VACES for ecotoxicity aerosol measurement.
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Short summary
A three-stage model was developed to obtain the global maps of reactive nitrogen components during 2000–2100. The results implied that cross-validation R2 values of four species showed satisfactory performance (R2 > 0.55). Most reactive nitrogen components, except NH3, in China showed increases during 2000–2013. In the future scenarios, SSP3-7.0 (traditional-energy scenario) and SSP1-2.6 (carbon neutrality scenario) showed the highest and lowest reactive nitrogen component concentrations.
A three-stage model was developed to obtain the global maps of reactive nitrogen components...
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