Articles | Volume 22, issue 22
https://doi.org/10.5194/acp-22-15035-2022
© Author(s) 2022. 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-22-15035-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Diagnosing ozone–NOx–VOC sensitivity and revealing causes of ozone increases in China based on 2013–2021 satellite retrievals
Jie Ren
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, College of Environmental Sciences and Engineering, Peking
University, Beijing, 100871, China
Fangfang Guo
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, College of Environmental Sciences and Engineering, Peking
University, Beijing, 100871, China
Shaodong Xie
CORRESPONDING AUTHOR
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, College of Environmental Sciences and Engineering, Peking
University, Beijing, 100871, China
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Atmos. Chem. Phys., 25, 3807–3820, https://doi.org/10.5194/acp-25-3807-2025, https://doi.org/10.5194/acp-25-3807-2025, 2025
Short summary
Short summary
To reduce uncertainties in identifying the key volatile organic compounds (VOCs) in ozone (O3) formation from ambient concentrations, this study comprehensively calculates the emitted VOC concentrations during both nighttime and daytime using the nitrate radical, O3, and hydroxyl radical reaction rates and ambient VOC concentrations. Based on the emitted concentrations, isoprene is one of the top three species contributing to O3 formation, which may be overlooked in observed concentrations.
Zhier Bao, Xinyi Zhang, Qing Li, Jiawei Zhou, Guangming Shi, Li Zhou, Fumo Yang, Shaodong Xie, Dan Zhang, Chongzhi Zhai, Zhenliang Li, Chao Peng, and Yang Chen
Atmos. Chem. Phys., 23, 1147–1167, https://doi.org/10.5194/acp-23-1147-2023, https://doi.org/10.5194/acp-23-1147-2023, 2023
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We characterised non-refractory fine particulate matter (PM2.5) during winter in the Sichuan Basin (SCB), Southwest China. The factors driving severe aerosol pollution were revealed, highlighting the importance of rapid nitrate formation and intensive biomass burning. Nitrate was primarily formed through gas-phase oxidation during daytime and aqueous-phase oxidation during nighttime. Controlling nitrate and biomass burning will benefit the mitigation of haze formation in the SCB.
Jing Cao, Shuping Situ, Yufang Hao, Shaodong Xie, and Lingyu Li
Atmos. Chem. Phys., 22, 2351–2364, https://doi.org/10.5194/acp-22-2351-2022, https://doi.org/10.5194/acp-22-2351-2022, 2022
Short summary
Short summary
Based on localized emission factors and high-resolution vegetation data, we simulated the impacts of BVOC emissions on O3 and SOA during 1981–2018 in China. The interannual variation of BVOC emissions caused by increasing leaf biomass resulted in O3 and SOA concentrations increasing at average annual rates of 0.11 ppb and 0.008 μg m−3, respectively. The results show different variations which can be attributed to the different changing trends of leaf biomass by region and vegetation type.
Cited articles
Abbot, D. S., Palmer, P. I., Martin, R. V., Chance, K. V., Jacob, D. J., and
Guenther, A.: Seasonal and interannual variability of North American
isoprene emissions as determined by formaldehyde column measurements from
space, Geophys. Res. Lett., 30, 1886, https://doi.org/10.1029/2003GL017336, 2003.
Atkinson, R.: Atmospheric chemistry of VOCs and NOx, Atmos. Environ., 34,
2063–2101, https://doi.org/10.1016/S1352-2310(99)00460-4, 2000.
Chang, C., Faust, E., Hou, X., Lee, P., Kim, H. C., Hedquist, B. C., and
Liao, K.: Investigating ambient ozone formation regimes in neighboring
cities of shale plays in the Northeast United States using photochemical
modeling and satellite retrievals, Atmos. Environ., 142, 152–170,
https://doi.org/10.1016/j.atmosenv.2016.06.058, 2016.
Chinese
State Council: Action plan on air pollution prevention and control:
http://www.gov.cn/zwgk/2013-09/12/content_2486773.htm, (last
accessed: 7 March 2022), 2013 (in Chinese).
Chinese State Council: Three-year action plan on defending the blue Sky:
http://www.gov.cn/zhengce/content/2018-07/03/content_5303158.htm, (last accessed: 7 March 2022), 2018 (in Chinese).
Choi, Y., Kim, H., Tong, D., and Lee, P.: Summertime weekly cycles of observed and modeled NOx and O3 concentrations as a function of satellite-derived ozone production sensitivity and land use types over the Continental United States, Atmos. Chem. Phys., 12, 6291–6307, https://doi.org/10.5194/acp-12-6291-2012, 2012.
Duncan, B. N., Yoshida, Y., Damon, M. R., Douglass, A. R., and Witte, J. C.:
Temperature dependence of factors controlling isoprene emissions, Geophys.
Res. Lett., 36, L05813, https://doi.org/10.1029/2008GL037090, 2009.
Duncan, B. N., Yoshida, Y., Olson, J. R., Sillman, S., Martin, R. V.,
Lamsal, L., Hu, Y., Pickering, K. E., Retscher, C., Allen, D. J., and
Crawford, J. H.: Application of OMI observations to a space-based indicator
of NOx and VOC controls on surface ozone formation, Atmos. Environ., 44,
2213–2223, https://doi.org/10.1016/j.atmosenv.2010.03.010, 2010.
GES DISC: The OMI satellite data for NO2 and HCHO, NASA [data set], https://disc.gsfc.nasa.gov/, last access: 1 September 2022.
Jiang, Z., Jolleys, M. D., Fu, T., Palmer, P. I., Ma, Y., Tian, H., Li, J.,
and Yang, X.: Spatiotemporal and probability variations of surface PM2.5
over China between 2013 and 2019 and the associated changes in health risks:
An integrative observation and model analysis, Sci. Total Environ., 723,
137896, https://doi.org/10.1016/j.scitotenv.2020.137896, 2020.
Jin, X. and Holloway, T.: Spatial and temporal variability of ozone
sensitivity over China observed from the Ozone Monitoring Instrument,
J. Geophys. Res.-Atmos., 120, 7229–7246,
https://doi.org/10.1002/2015JD023250, 2015.
Jin, X., Fiore, A. M., Murray, L. T., Valin, L. C., Lamsal, L. N., Duncan,
B., Folkert Boersma, K., De Smedt, I., Abad, G. G., Chance, K., and
Tonnesen, G. S.: Evaluating a Space-Based Indicator of Surface Ozone-NOx-VOC
Sensitivity Over Midlatitude Source Regions and Application to Decadal
Trends, J. Geophys. Res.-Atmos., 122, 410–439,
https://doi.org/10.1002/2017JD026720, 2017.
Jin, X., Fiore, A., Boersma, K. F., De Smedt, I., and Valin, L.: Inferring
Changes in Summertime Surface Ozone-NOx-VOC Chemistry over US Urban Areas
from Two Decades of Satellite and Ground-Based Observations, Environ. Sci.
Technol., 54, 6518–6529, https://doi.org/10.1021/acs.est.9b07785, 2020.
Kleinman, L. I.: Low and high NOx tropospheric photochemistry,
J. Geophys. Res.-Atmos., 99, 16831–16838,
https://doi.org/10.1029/94JD01028, 1994.
Lamsal, L. N., Krotkov, N. A., Celarier, E. A., Swartz, W. H., Pickering, K. E., Bucsela, E. J., Gleason, J. F., Martin, R. V., Philip, S., Irie, H., Cede, A., Herman, J., Weinheimer, A., Szykman, J. J., and Knepp, T. N.: Evaluation of OMI operational standard NO2 column retrievals using in situ and surface-based NO2 observations, Atmos. Chem. Phys., 14, 11587–11609, https://doi.org/10.5194/acp-14-11587-2014, 2014.
Li, C., Zhu, Q. D., Jin, X. M., and Cohen, R. C.: Elucidating Contributions
of Anthropogenic Volatile Organic Compounds and Particulate Matter to Ozone
Trends over China, Environ. Sci. Technol., 56, 12906–12916,
https://doi.org/10.1021/acs.est.2c03315, 2022.
Li, D., Wang, S., Xue, R., Zhu, J., Zhang, S., Sun, Z., and Zhou, B.: OMI-observed HCHO in Shanghai, China, during 2010–2019 and ozone sensitivity inferred by an improved ratio, Atmos. Chem. Phys., 21, 15447–15460, https://doi.org/10.5194/acp-21-15447-2021, 2021.
Li, K., Jacob, D. J., Liao, H., Shen, L., Zhang, Q., and Bates, K. H.:
Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China,
P. Natl. Acad. Sci. USA, 116, 422–427,
https://doi.org/10.1073/pnas.1812168116, 2019.
Li, K., Jacob, D. J., Shen, L., Lu, X., De Smedt, I., and Liao, H.: Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences, Atmos. Chem. Phys., 20, 11423–11433, https://doi.org/10.5194/acp-20-11423-2020, 2020.
Li, L., Yang, W. Z., Xie, S. D., and Wu, Y.: Estimations and uncertainty
of biogenic volatile organic compound emission inventory in China for
2008–2018, Sci. Total Environ., 733, 139301,
https://doi.org/10.1016/j.scitotenv.2020.139301, 2020.
Li, R., Xu, M., Li, M., Chen, Z., Zhao, N., Gao, B., and Yao, Q.: Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis, Atmos. Chem. Phys., 21, 15631–15646, https://doi.org/10.5194/acp-21-15631-2021, 2021.
Lin, N., Wang, Y., Zhang, Y., and Yang, K.: A large decline of tropospheric
NO2 in China observed from space by SNPP OMPS, Sci. Total Environ., 675,
337–342, https://doi.org/10.1016/j.scitotenv.2019.04.090, 2019.
Liu, C. and Shi, K.: A review on methodology in O3-NOx-VOC sensitivity
study, Environ. Pollut., 291, 118249, https://doi.org/10.1016/j.envpol.2021.118249,
2021.
Lu, X., Hong, J., Zhang, L., Cooper, O. R., Schultz, M. G., Xu, X., Wang,
T., Gao, M., Zhao, Y., and Zhang, Y.: Severe Surface Ozone Pollution in
China: A Global Perspective, Environ. Sci. Tech. Let.,
5, 487–494, https://doi.org/10.1021/acs.estlett.8b00366, 2018.
Lu, X., Zhang, L., Wang, X., Gao, M., Li, K., Zhang, Y., Yue, X., and Zhang,
Y.: Rapid Increases in Warm-Season Surface Ozone and Resulting Health Impact
in China Since 2013, Environ. Sci. Tech. Let., 7,
240–247, https://doi.org/10.1021/acs.estlett.0c00171, 2020.
Martin, R. V.: Global inventory of nitrogen oxide emissions constrained by
space-based observations of NO2 columns,
J. Geophys. Res.,
108, 4537, https://doi.org/10.1029/2003JD003453, 2003.
Martin, R. V., Fiore, A. M., and Van Donkelaar, A.: Space-based diagnosis of
surface ozone sensitivity to anthropogenic emissions, Geophys. Res. Lett.,
31, L06120, https://doi.org/10.1029/2004GL019416, 2004.
Nelson, B. S., Stewart, G. J., Drysdale, W. S., Newland, M. J., Vaughan, A. R., Dunmore, R. E., Edwards, P. M., Lewis, A. C., Hamilton, J. F., Acton, W. J., Hewitt, C. N., Crilley, L. R., Alam, M. S., Şahin, Ü. A., Beddows, D. C. S., Bloss, W. J., Slater, E., Whalley, L. K., Heard, D. E., Cash, J. M., Langford, B., Nemitz, E., Sommariva, R., Cox, S., Shivani, Gadi, R., Gurjar, B. R., Hopkins, J. R., Rickard, A. R., and Lee, J. D.: In situ ozone production is highly sensitive to volatile organic compounds in Delhi, India, Atmos. Chem. Phys., 21, 13609–13630, https://doi.org/10.5194/acp-21-13609-2021, 2021.
Ou, J., Yuan, Z., Zheng, J., Huang, Z., Shao, M., Li, Z., Huang, X., Guo,
H., and Louie, P. K. K.: Ambient Ozone Control in a Photochemically Active
Region: Short-Term Despiking or Long-Term Attainment?, Environ. Sci.
Technol., 50, 5720–5728, https://doi.org/10.1021/acs.est.6b00345, 2016.
Pusede, S. E., Steiner, A. L., and Cohen, R. C.: Temperature and Recent
Trends in the Chemistry of Continental Surface Ozone, Chem. Rev., 115,
3898–3918, https://doi.org/10.1021/cr5006815, 2015.
Ren, J., Hao, Y., Simayi, M., Shi, Y., and Xie, S.: Spatiotemporal variation
of surface ozone and its causes in Beijing, China since 2014, Atmos.
Environ., 260, 118556, https://doi.org/10.1016/j.atmosenv.2021.118556, 2021.
Schroeder, J. R., Crawford, J. H., Fried, A., Walega, J., Weinheimer, A.,
Wisthaler, A., Muller, M., Mikoviny, T., Chen, G., Shook, M., Blake, D. R.,
and Tonnesen, G. S.: New insights into the column ratio as an
indicator of near-surface ozone sensitivity, J. Geophys. Res.-Atmos., 122, 8885–8907, https://doi.org/10.1002/2017JD026781,
2017.
Shen, H., Sun, Z., Chen, Y., Russell, A. G., Hu, Y., Odman, M. T., Qian, Y.,
Archibald, A. T., and Tao, S.: Novel Method for Ozone Isopleth Construction
and Diagnosis for the Ozone Control Strategy of Chinese Cities, Environ.
Sci. Technol., 55, 15625–15636, https://doi.org/10.1021/acs.est.1c01567,
2021.
Shen, L., Jacob, D. J., Zhu, L., Zhang, Q., Zheng, B., Sulprizio, M. P., Li,
K., De Smedt, I., Abad, G. G., Cao, H., Fu, T., and Liao, H.: The 2005-2016
Trends of Formaldehyde Columns Over China Observed by Satellites: Increasing
Anthropogenic Emissions of Volatile Organic Compounds and Decreasing
Agricultural Fire Emissions, Geophys. Res. Lett., 46, 4468–4475,
https://doi.org/10.1029/2019GL082172, 2019.
Sillman, S.: The use of NOY, H2O2, and HNO3 as indicators for
ozone-nox-hydrocarbon sensitivity in urban locations, J. Geophys. Res.-Atmos., 100, 14175–14188, https://doi.org/10.1029/94JD02953,
1995.
Sillman, S.: The relation between ozone, NOx and hydrocarbons in urban and
polluted rural environments, Atmos. Environ., 33, 1821–1845,
https://doi.org/10.1016/S1352-2310(98)00345-8, 1999.
Sillman, S. and He, D. Y.: Some theoretical results concerning O-3-NOx-VOC
chemistry and NOx-VOC indicators, J. Geophys. Res.-Atmos., 107, 4659, https://doi.org/10.1029/2001JD001123, 2002.
Sillman, S., Logan, J. A., and Wofsy, S. C.: The sensitivity of ozone to
nitrogen oxides and hydrocarbons in regional ozone episodes, J. Geophys. Res.-Atmos., 95, 1837–1851,
https://doi.org/10.1029/JD095iD02p01837, 1990.
Simayi, M., Shi, Y., Xi, Z., Ren, J., Hini, G., and Xie, S.: Emission trends
of industrial VOCs in China since the clean air action and future reduction
perspectives, Sci. Total Environ., 826, 153994,
https://doi.org/10.1016/j.scitotenv.2022.153994, 2022.
Souri, A. H., Nowlan, C. R., Wolfe, G. M., Lamsal, L. N., Chan Miller, C.
E., Abad, G. G., Janz, S. J., Fried, A., Blake, D. R., Weinheimer, A. J.,
Diskin, G. S., Liu, X., and Chance, K.: Revisiting the effectiveness of
HCHO/NO2 ratios for inferring ozone sensitivity to its precursors using high
resolution airborne remote sensing observations in a high ozone episode
during the KORUS-AQ campaign, Atmos. Environ., 224, 117341,
https://doi.org/10.1016/j.atmosenv.2020.117341, 2020.
Tan, Z., Lu, K., Jiang, M., Su, R., Dong, H., Zeng, L., Xie, S., Tan, Q.,
and Zhang, Y.: Exploring ozone pollution in Chengdu, southwestern China: A
case study from radical chemistry to O3-VOC-NOx sensitivity, Sci. Total
Environ., 636, 775–786, https://doi.org/10.1016/j.scitotenv.2018.04.286,
2018.
Veefkind, J. P., Aben, I., McMullan, K., Forster, H., de Vries, J., Otter,
G., Claas, J., Eskes, H. J., de Haan, J. F., Kleipool, Q., van Weele, M.,
Hasekamp, O., Hoogeveen, R., Landgraf, J., Snel, R., Tol, P., Ingmann, P.,
Voors, R., Kruizinga, B., Vink, R., Visser, H., and Levelt, P. F.: TROPOMI
on the ESA Sentinel-5 Precursor: A GMES mission for global observations of
the atmospheric composition for climate, air quality and ozone layer
applications, Remote Sens. Environ., 120, 70–83,
https://doi.org/10.1016/j.rse.2011.09.027, 2012.
Wang, N., Lyu, X., Deng, X., Huang, X., Jiang, F., and Ding, A.: Aggravating
O3 pollution due to NOx emission control in eastern China, Sci. Total
Environ., 677, 732–744, https://doi.org/10.1016/j.scitotenv.2019.04.388,
2019.
Wang, T., Xue, L., Brimblecombe, P., Lam, Y. F., Li, L., and Zhang, L.:
Ozone pollution in China: A review of concentrations, meteorological
influences, chemical precursors, and effects, Sci. Total Environ., 575,
1582–1596, https://doi.org/10.1016/j.scitotenv.2016.10.081, 2017.
Wang, W., van der A, R., Ding, J., van Weele, M., and Cheng, T.: Spatial and temporal changes of the ozone sensitivity in China based on satellite and ground-based observations, Atmos. Chem. Phys., 21, 7253–7269, https://doi.org/10.5194/acp-21-7253-2021, 2021.
Wang, W., Parrish, D. D., Wang, S., Bao, F., Ni, R., Li, X., Yang, S., Wang, H., Cheng, Y., and Su, H.: Long-term trend of ozone pollution in China during 2014–2020: distinct seasonal and spatial characteristics and ozone sensitivity, Atmos. Chem. Phys., 22, 8935–8949, https://doi.org/10.5194/acp-22-8935-2022, 2022.
Wang, X., Fu, T., Zhang, L., Cao, H., Zhang, Q., Ma, H., Shen, L., Evans, M.
J., Ivatt, P. D., Lu, X., Chen, Y., Zhang, L., Feng, X., Yang, X., Zhu, L.,
and Henze, D. K.: Sensitivities of Ozone Air Pollution in the
Beijing–Tianjin–Hebei Area to Local and Upwind Precursor Emissions Using
Adjoint Modeling, Environ. Sci. Technol., 55, 5752–5762,
https://doi.org/10.1021/acs.est.1c00131, 2021.
Wang, X. L.: Historical air quality data in China, Quotsoft [data set], https://quotsoft.net/air, last access: 1 September 2022.
Wolfe, G. M., Kaiser, J., Hanisco, T. F., Keutsch, F. N., de Gouw, J. A., Gilman, J. B., Graus, M., Hatch, C. D., Holloway, J., Horowitz, L. W., Lee, B. H., Lerner, B. M., Lopez-Hilifiker, F., Mao, J., Marvin, M. R., Peischl, J., Pollack, I. B., Roberts, J. M., Ryerson, T. B., Thornton, J. A., Veres, P. R., and Warneke, C.: Formaldehyde production from isoprene oxidation across NOx regimes, Atmos. Chem. Phys., 16, 2597–2610, https://doi.org/10.5194/acp-16-2597-2016, 2016.
World Health Organization: WHO's global air-quality guidelines0140-6736,
https://www.who.int/publications/i/item/9789240034228 (last access: 1 September 2022), 2021.
Xiao, Q., Geng, G., Xue, T., Liu, S., Cai, C., He, K., and Zhang, Q.:
Tracking PM2.5 and O-3 Pollution and the Related Health Burden in China
2013–2020, Environ. Sci. Technol., 56, 6922–6932, https://doi.org/10.1021/acs.est.1c04548,
2021.
Yang, L., Luo, H., Yuan, Z., Zheng, J., Huang, Z., Li, C., Lin, X., Louie, P. K. K., Chen, D., and Bian, Y.: Quantitative impacts of meteorology and precursor emission changes on the long-term trend of ambient ozone over the Pearl River Delta, China, and implications for ozone control strategy, Atmos. Chem. Phys., 19, 12901–12916, https://doi.org/10.5194/acp-19-12901-2019, 2019.
Zhang, H., Wang, S., Hao, J., Wang, X., Wang, S., Chai, F., and Li, M.: Air
pollution and control action in Beijing, J. Clean. Prod., 112, 1519–1527,
https://doi.org/10.1016/j.jclepro.2015.04.092, 2016.
Zhang, Q., Zheng, Y., Tong, D., Shao, M., Wang, S., Zhang, Y., Xu, X., Wang,
J., He, H., Liu, W., Ding, Y., Lei, Y., Li, J., Wang, Z., Zhang, X., Wang,
Y., Cheng, J., Liu, Y., Shi, Q., Yan, L., Geng, G., Hong, C., Li, M., Liu,
F., Zheng, B., Cao, J., Ding, A., Gao, J., Fu, Q., Huo, J., Liu, B., Liu,
Z., Yang, F., He, K., and Hao, J.: Drivers of improved PM2.5 air quality in
China from 2013 to 2017, P. Natl. Acad. Sci. USA, 116, 24463–24469,
https://doi.org/10.1073/pnas.1907956116, 2019.
Zhao, S., Yin, D., Yu, Y., Kang, S., Qin, D., and Dong, L.: PM2.5 and O3
pollution during 2015–2019 over 367 Chinese cities: Spatiotemporal
variations, meteorological and topographical impacts, Environ. Pollut., 264,
114694, https://doi.org/10.1016/j.envpol.2020.114694, 2020.
Zheng, B., Tong, D., Li, M., Liu, F., Hong, C., Geng, G., Li, H., Li, X., Peng, L., Qi, J., Yan, L., Zhang, Y., Zhao, H., Zheng, Y., He, K., and Zhang, Q.: Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions, Atmos. Chem. Phys., 18, 14095–14111, https://doi.org/10.5194/acp-18-14095-2018, 2018.
Zhu, L., Jacob, D. J., Mickley, L. J., Marais, E. A., Cohan, D. S., Yoshida,
Y., Duncan, B. N., Abad, G. G., and Chance, K. V.: Anthropogenic emissions
of highly reactive volatile organic compounds in eastern Texas inferred from
oversampling of satellite (OMI) measurements of HCHO columns, Environ. Res.
Lett., 9, 114004, https://doi.org/10.1088/1748-9326/9/11/114004, 2014.
Zhu, L., Mickley, L. J., Jacob, D. J., Marais, E. A., Sheng, J., Hu, L.,
Abad, G. G., and Chance, K.: Long-term (2005–2014) trends in formaldehyde
(HCHO) columns across North America as seen by the OMI satellite instrument:
Evidence of changing emissions of volatile organic compounds, Geophys. Res.
Lett., 44, 7079–7086, https://doi.org/10.1002/2017GL073859, 2017.
Short summary
O3–NOx–VOC sensitivity in China is diagnosed by deriving regional satellite HCHO / NO2 thresholds between O3 production regimes. VOC-limited regimes are found widely over megacity clusters and developed cities. VOCs and NOx emissions are tracked with satellite HCHO and NO2 to evaluate O3 responses to precursors changes. The significant reduction in NOx emissions without effective VOC control since the Clean Air Action Plan in 2013 is responsible for the increase in O3 concentrations in China.
O3–NOx–VOC sensitivity in China is diagnosed by deriving regional satellite HCHO / NO2...
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