Response of cross-correlations between high PM2.5 and O3 with increasing time scales to the COVID-19: different trends in BTH and PRD-Reference-Cited by-同舟云学术

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Response of cross-correlations between high PM2.5 and O3 with increasing time scales to the COVID-19: different trends in BTH and PRD

Published:2023-04-25 Issue:5 Volume:195 Page:
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Bao Bingyi,Li Youping,Liu Chunqiong,Wen Ye,Shi Kai

Funder

Innovation Foundation for Postgraduate of Jishou University, China

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province, China

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s10661-023-11213-w.pdf

Reference51 articles.

1. Bak, P., Tang, C., & Wiesenfeld, K. (1987). Self-organized criticality: An explanation of the 1/f noise. Physics Review Letters, 59(4), 381–384.

2. Bherwani, H., Gautam, S., & Gupta, A. (2021). Qualitative and quantitative analyses of impact of COVID-19 on sustainable development goals (SDGs) in Indian subcontinent with a focus on air quality. International Journal of Environmental Science and Technology., 18(4), 1019–1028.

3. Chelani, A. (2016). Long-memory property in air pollutant concentrations. Atmospheric Research, 171(1), 1–4.

4. Chelani, A., & Gautam, S. (2022). Lockdown during COVID-19 pandemic: A case study from Indian cities shows insignificant effects on persistent property of urban air quality. Geoscience Frontiers, 13(6), 101284.

5. Chen, H. M., Zhuang, B. L., Liu, J., Wang, T. J., Li, S., Xie, M., Li, M. M., Chen, P. L., & Zhao, M. (2019a). Characteristics of ozone and particles in the near-surface atmosphere in the urban area of the Yangtze River Delta, China. Atmospheric Chemistry and Physics, 19(7), 4153–4175.

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