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Spatiotemporal characteristics and drivers of Chinese urban total noise pollution from 2007 to 2019

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Abstract

Noise pollution as a result of urbanization and socioeconomic development threatens human health and has become a major environmental problem worldwide, particularly for urban residents. Based on observed equivalent noise data of 113 major Chinese cities, a Bayesian spatiotemporal hierarchy model (BSTHM) was employed to investigate the spatiotemporal characteristics of urban noise pollution in China from 2007 to 2019. Meanwhile, the BART model was adopted to explore the drivers of urban noise pollution. The mean and medium of the equivalent noise of the 113 major cities decreased from 2007 to 2011 but increased from 2011 to 2019; the corresponding annual growth is 0.0793 dB and 0.0947 dB per year. The overall spatial pattern has a certain geographical feature. The cities located in the eastern and north-eastern coastal regions generally have a higher level of noise pollution, and the western and southwestern cities have a lower level. One hundred cities not only have greater noise pollution but also an increasing trend. Although the 52 cities located in Western China have less noise pollution, they have increasing local trends. The results indicate that economic and social factors are the main drivers of noise pollution of China; the explanatory power is 46.2%. Traffic factors are also relatively important drivers, of which bus ridership is the leading one. In terms of the natural environment, climatic factors, including temperature and relative humidity, and presence of green areas containing parkland and general green land are the main determinants.

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Acknowledgements

Our deepest gratitude is expressed to the anonymous reviewers and editors for their careful work and constructive suggestions that have helped improve our paper substantially. We thank the guidance and support of Dr. Junming Li who work in the School of Statistics, Shanxi University of Finance and Economics, during the process of revising the manuscript.

Data availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Funding

This work was supported by the Young Scientists Fund of the National Natural Science Foundation of China (Grant No. 51708383) and the National Natural Science Foundation of China (Grant No.42071377).

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Authors and Affiliations

  1. College of Architecture, Taiyuan University of Technology, Taiyuan, 030024, China

    Meijun Jin & Xiaofeng Shi

  2. State Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China

    Zhoupeng Ren

Authors
  1. Meijun Jin
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  2. Zhoupeng Ren
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  3. Xiaofeng Shi
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Contributions

All the authors contributed significantly to the manuscript. MJ and ZR presented the ideas of the paper and designed the study. MJ collected and preprocessed the data. ZR and XS revised the manuscript after critical examination of the text. MJ and XS conducted the data processing and produced the first draft of the paper. All the authors reviewed and contributed to subsequent drafts, and all authors approve the final version for publication.

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Correspondence to Zhoupeng Ren.

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Jin, M., Ren, Z. & Shi, X. Spatiotemporal characteristics and drivers of Chinese urban total noise pollution from 2007 to 2019. Environ Sci Pollut Res 29, 73292–73306 (2022). https://doi.org/10.1007/s11356-022-20660-w

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  • DOI: https://doi.org/10.1007/s11356-022-20660-w

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