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Analysis of Potential Factors Influencing Ground-Level Ozone Concentrations in Chinese Cities

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Geoinformatics in Sustainable Ecosystem and Society (GSES 2019, GeoAI 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1228))

Abstract

Based on Geodetector model, this study adopted the 2016 O3 concentration data, meteorological factor data and anthropogenic emissions data to explore the driving factors of urban O3 concentrations in China. The results show that: in general, meteorological factors dominate the urban ozone concentration in China, but there are some differences in the driving factors of ozone concentration at different scales. From the national scale, sunshine duration and temperature are the most significant driving factors, among which temperature is the most critical, while relative humidity and temperature have prominent interactions. From the seasonal perspective, the dominant factors for O3 pollution in spring and winter are the duration of sunshine, the relative humidity in summer, and the temperature in autumn. In addition, the main interaction in spring, autumn and winter is the interaction between sunshine duration and temperature, while in summer it is air pressure and relative humidity. From the perspective of the zoning, the O3 pollution in South China is dominated by the duration of sunshine, and the other regions are dominated by temperature. In terms of factor interaction, the strongest interactions in Central China, Northeast China, and Southwest China are combined with relative humidity and temperature. East China, North China, and Northwest China are the duration and temperature of sunshine, while South China is the duration of sunshine and wind speed. From the seasonal influence of different zones, the influencing factors of O3 concentration changes in each region in different seasons are very different. The influence of evaluation factors on this scale is generally not obvious, and the driving factors and interactions are complicated.

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References

  1. Fishman, J., Crutzen, P.J.: The origin of ozone in the troposphere. Nature 274(5674), 855–858 (1978)

    Article  Google Scholar 

  2. Lou, S., Zhu, B., Liao, H.: Impacts of O3 precursoronsurfaceO3 concentration over China. Trans. Atmos. Sci. 33(4), 451–459 (2010)

    Google Scholar 

  3. Dong, S., Li, B.: Sources and characteristics of ozone pollution and the significance of ozone monitoring. Environ. Dev. 31(02), 189+191 (2019)

    Google Scholar 

  4. Pan, B., Cheng, L., Wang, J., et al.: Characteristics and source attribution of ozone pollution in Beijing-Tianjin-Hebei region. Environ. Monit. China 32(05), 17–23 (2016)

    Google Scholar 

  5. Cheng, L., Wang, S., Gong, Z., et al.: Spatial and seasonal variation and regionalization of ozone concentrations in China. China Environ. Sci. 37(11), 4003–4012 (2017)

    Google Scholar 

  6. He, W., He, T.: Relationship between Atinospheric ozone concentration and meteorological conditions in Wujing district. Anhui Agric. Sci. Bull. 24(24), 91–93 (2018)

    Google Scholar 

  7. Zhou, X., Liao, Z., Wang, M., et al.: Characteristics of ozone concentration and its relationship with meteorological factors in Zhuhai during 2013—2016. Acta Sci. Circumst. 39(01), 143–153 (2019)

    Google Scholar 

  8. Chen, Z., Zhuang, Y., Xie, X., et al.: Understanding long-term variations of meteorological influences on ground ozone concentrations in Beijing during 2006–2016. Environ. Pollut. 245, 29–37 (2019)

    Article  Google Scholar 

  9. Liang, Y., Liu, Y., Wang, H., et al.: Regional characteristics of ground-level ozone in Shanghai based on PCA analysis. Acta Sci. Circum. 38(10), 3807–3815 (2018)

    Google Scholar 

  10. Wu, K., Kang, P., Yu, L., et al.: Pollution status and spatio-temporal variations of ozone in China during 2015–2016. Acta Sci. Circumst. 38(06), 2179–2190 (2018)

    Google Scholar 

  11. Fu, Z., Dai, C., Wang, Z., et al.: Sensitivity analysis of atmospheric ozone formation to its precursors in summer of Changsha. Environ. Chem. 38(3), 531–538 (2019)

    Google Scholar 

  12. Wang, J., Xu, C.: Geodetector: principle and prospective. Acta Geogr. Sin. 72(01), 116–134 (2017)

    Google Scholar 

  13. Huang, X., Zhao, J., Cao, J., et al.: Spatial-temporal variation of ozone concentration and its driving factors in China. Environ. Sci. 40(03), 1120–1131 (2019)

    Google Scholar 

  14. Ye, Y., Qi, Q., Jiang, L., et al.: Impact factors of grain output from farms in Heilongjiang reclamation area based on geographical detector. Geogr. Res. 37(01), 171–182 (2018)

    Google Scholar 

  15. Zhao, X., Li, Y., Zhao, Y., et al.: Spatiotemporal differences and driving factors of land development degree in China based on geographical detector. Resour. Environ. Yangtze Basin 27(11), 2425–2433 (2018)

    Google Scholar 

  16. Liang, Q., Huang, J., Xie, X., et al.: Study on tourism spatial differentiation characteristics and influencing factors in northern slope of Tianshan mountains based on geodetector. J. Nortwest Norm. Univ. (Nat. Sci.) 54(06), 82–88 (2018)

    Google Scholar 

  17. Wang, Y., Hu, B.: Spatial and temporal differentiation of ecological vulnerability of Xijiang river in Guangxi and its driving mechanism based on GIS. J. Geo-inf. Sci. 20(7), 947–956 (2018)

    Google Scholar 

  18. Zhou, L., Zhou, C., Yang, F., et al.: Spatio-temporal evolution the influencing factors of PM2.5 in China between 2000 and 2015. J. Geogr. Sci. 29(02), 253–270 (2019)

    Article  Google Scholar 

  19. Wang, W., Cheng, T., Gu, X., et al.: Assessing spatial and temporal patterns of observed ground-level ozone in China. Sci. Rep. 7, 3651 (2017)

    Article  Google Scholar 

  20. Wang, Y., Du, H., Xu, Y., et al.: Temporal and spatial variation relationship and influence factors on surface urban heat island and ozone pollution in the Yangtze river delta, China. Sci. Total Environ. 631, 921–933 (2018)

    Article  Google Scholar 

  21. Chen, C., Yan, R., Ye, H., et al.: Researth on the characteristics of ozone pollution in Hangzhou. Environ. Pollut. Control 41(03), 339–342 (2019)

    Google Scholar 

  22. Maji, K., Ye, W., Arora, M., Nagendra, S.S., et al.: Ozone pollution in Chinese cities: assessment of seasonal variation, health effects and economic burden. Environ. Pollut. 247, 792–801 (2019)

    Article  Google Scholar 

  23. Camalier, L., Cox, W., Dolwick, P.: The effects of meteorology on ozone in urban areas and their use in assessing ozone trends. Atmos. Environ. 41, 7127–7137 (2007)

    Article  Google Scholar 

Download references

Acknowledgements

This study was financially supported by the National Science Foundation of China (41401107) and Henan Basic Frontier and Technology Research Project (162300410132) and 2017 Key Research Project of Henan Province Higher Education (17B170003).

Author information

Authors and Affiliations

  1. Key Research Institute of Yellow River Civilization and Sustainable Development, Ministry of Education, Henan University, Kaifeng, 475004, China

    Pengfei Liu & Ziyun Jing

  2. Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, 475004, China

    Hongliang Li & Hongquan Song

  3. Institute of Urban Big Data, College of Environment and Planning, Henan University, Kaifeng, 475004, China

    Pengfei Liu, Hongliang Li & Hongquan Song

  4. Henan Key Laboratory of Integrated Air Pollution Control and Ecological Security, Henan University, Kaifeng, 475004, China

    Hongliang Li & Hongquan Song

Authors
  1. Pengfei Liu
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  2. Hongliang Li
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  3. Ziyun Jing
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  4. Hongquan Song
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Editor information

Editors and Affiliations

  1. Eastern Michigan University, Ypsilanti, MI, USA

    Yichun Xie

  2. Guangzhou Institute of Geography, Guangzhou, China

    Yong Li

  3. Guangzhou Institute of Geography, Guangzhou, China

    Ji Yang

  4. Guangzhou Institute of Geography, Guangzhou, China

    Jianhui Xu

  5. Guangzhou Institute of Geography, Guangzhou, China

    Yingbin Deng

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Liu, P., Li, H., Jing, Z., Song, H. (2020). Analysis of Potential Factors Influencing Ground-Level Ozone Concentrations in Chinese Cities. In: Xie, Y., Li, Y., Yang, J., Xu, J., Deng, Y. (eds) Geoinformatics in Sustainable Ecosystem and Society. GSES GeoAI 2019 2019. Communications in Computer and Information Science, vol 1228. Springer, Singapore. https://doi.org/10.1007/978-981-15-6106-1_31

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  • DOI: https://doi.org/10.1007/978-981-15-6106-1_31

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6105-4

  • Online ISBN: 978-981-15-6106-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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