30 Sep 2022
30 Sep 2022
Status: this preprint is currently under review for the journal ACP.

O3-precursor relationship over multiple patterns of time scale: A case study in Zibo, Shandong Province, China

Zhensen Zheng1, Kangwei Li2, Bo Xu3, Jianping Dou4, Liming Li1, Guotao Zhang1, Shijie Li1, Chunmei Geng1, Wen Yang1, Merched Azzi5, and Zhipeng Bai1 Zhensen Zheng et al.
  • 1State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
  • 2Univ Lyon, Université Claude Bernard Lyon 1, CNRS, IRCELYON, F-69626 Villeurbanne, France
  • 3Zibo Eco-Environmental Monitoring Center, Zibo 255000, China
  • 4Zibo Ecological Environment Quality Control Service Center, Zibo 255095, China
  • 5New South Wales Department of Planning, Industry and Environment, PO Box 29, Lidcombe, NSW 1825, Australia

Abstract. In this study, we developed an approach that integrating multiple patterns of time scale for box modeling (MCMv3.3.1) to better understand the O3-precursor relationship through multiple-site and continuous observations. A five-month field campaign was conducted in the summer of 2019 to investigate the ozone formation chemistry at three sites in a major prefecture-level city (Zibo) in Shandong province of northern China. It was found that the relative incremental reactivity (RIR) of major precursor groups (e.g., anthropogenic volatile organic compound (AVOC), NOx) were overall consistent along with time scale (four patterns: five-month, monthly, weekly, and daily) varied from wider to narrower, though the magnitude of RIR varied at each site. The time series of the photochemical regime (using RIRNOx/RIRAVOC as indicator) in weekly or daily patterns further showed varied magnitude but a synchronous temporal trend among the three sites. The derived RIR ranking (top 10) of individual AVOC species showed consistency at three averaged patterns (i.e., five-month, monthly, and weekly). It was further found that the campaign-averaging photochemical regimes showed overall consistency but non-negligible variability among the four patterns of time scale, which was mainly due to the embedded uncertainty in model input dataset when averaging individual daily pattern into different timescales. This implies that integrating multiple patterns of time scale is useful to derive reliable and robust O3-precursor relationship. Our results highlight the importance of quantifying the impact of different time scales to constrain the photochemical regime, which can formulate more accurate policy-relevant guidance for O3 pollution control.

Zhensen Zheng et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-592', Anonymous Referee #1, 18 Oct 2022
  • RC2: 'Comment on acp-2022-592', Anonymous Referee #2, 20 Oct 2022

Zhensen Zheng et al.

Zhensen Zheng et al.


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Short summary
Previous box model studies applied different timescales of observational datasets to identify the O3-precursor relationship, but there is a lack of comparison among these different timescales upon the impact of O3 formation chemistry. Through a case study at Zibo of China, we find that the O3 formation regime showed overall consistency but non-negligible variability among various patterns of timescale. This would be complementary in developing more accurate O3 pollution control strategy.