Preprints
https://doi.org/10.5194/acp-2021-291
https://doi.org/10.5194/acp-2021-291

  30 Apr 2021

30 Apr 2021

Review status: a revised version of this preprint was accepted for the journal ACP and is expected to appear here in due course.

Identifying the spatiotemporal variations of ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis

Ruiyuan Li1, Miaoqing Xu1, Manchun Li2, Ziyue Chen1, Bingbo Gao3, Na Zhao4,5, and Qi Yao1 Ruiyuan Li et al.
  • 1State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Sciences, Beijing Normal University, Beijing, 100875, China
  • 2School of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China
  • 3College of Land Science and Technology, China Agriculture University, Beijing, 100083, China
  • 4State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100049, China
  • 5University of Chinese Academy of Sciences, Beijing, 100080, China

Abstract. Ozone formation regimes are closely related to the ratio of VOCs to NOx. Different ranges of HCHO/NO2 indicate three formation regimes, including VOCs-limited, transitional and NOx-limited regimes. Due to the unstable interactions between a diversity of precursors, the range of transitional regime, which plays a key role in identifying ozone formation regimes, remains unclear. To overcome the uncertainties from single models and the lack of reference data, we employed two models, polynomial simulation and Convergent Cross Mapping (CCM), to identify the ranges of HCHO/NO2 across China based on ground observations and remote sensing datasets. The ranges of transitional regime estimated by polynomial simulation and CCM were [1.0, 1.9] and [1.0, 1.8]. Since 2013, ozone formation regime has changed to the transitional and NOx-limited regime all over China, indicating ozone concentrations across China were mainly controlled by NOx. However, despite the NO2 concentrations, HCHO concentrations continuously exert a positive influence on ozone concentrations under transitional and NOx-limited regimes. Under the circumstance of national NOx-reduction policies, the increase of VOCs became the major driver for the soaring ozone pollution across China. For an effective management of ozone pollution across China, the emission-reduction of VOCs and NOx should be equally considered.

Ruiyuan Li et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-291', Anonymous Referee #1, 07 Jul 2021
  • RC2: 'Comment on acp-2021-291', Anonymous Referee #2, 11 Jul 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-291', Anonymous Referee #1, 07 Jul 2021
  • RC2: 'Comment on acp-2021-291', Anonymous Referee #2, 11 Jul 2021

Ruiyuan Li et al.

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Short summary
We employed ground observations of ozone and satellite products of HCHO and NO2 to investigate spatiotemporal variations of ozone formation regimes across China. Two different models were employed for determining the crucial thresholds that separates three ozone formation regimes, including NOx-limited, VOCs-limited, and transitional regimes. The close output from two different models provides a reliable reference for better understanding ozone formation regimes.
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