Articles | Volume 26, issue 16
https://doi.org/10.5194/acp-26-11909-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Measurement report: Development of a portable peroxy radical measurement system and application for diagnosing local ozone formation and transport
Download
- Final revised paper (published on 21 Aug 2026)
- Preprint (discussion started on 10 Feb 2026)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
-
RC1: 'Comment on egusphere-2026-316', Anonymous Referee #1, 14 Mar 2026
- AC1: 'Reply on RC1', Xiaorui Chen, 26 May 2026
-
RC2: 'Comment on egusphere-2026-316', Anonymous Referee #2, 19 Mar 2026
- AC2: 'Reply on RC2', Xiaorui Chen, 26 May 2026
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Xiaorui Chen on behalf of the Authors (26 May 2026)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (25 Jun 2026) by María Cazorla
AR by Xiaorui Chen on behalf of the Authors (02 Jul 2026)
The authors report a self-constructed PERCA-CEAS system for RO2* measurement and its application during a field campaign in Zhuhai for more than 15 days. P(O3) was calculated and the local photochemical production of O3 was evaluated based on measurements. The instrument represents a valuable tool for investigating atmospheric chemistry. However, the manuscript still requires some revisions to better clarify the innovations of the instrument, methodology, and scientific findings.
1. To better demonstrate the advantages of the instrument presented in this study, a summary table comparing different RO2* measurement techniques is recommended, particularly the PERCA-based methods developed in previous studies. The table should include key parameters such as chemical chain length, detection limit, and instrument weight, as well as their respective advantages and disadvantages.
2. The instrument was only applied for continuous measurement of about 15 days. How would it perform for longer-term measurements?
3. Local production and transport contributions to O3 were estimated based on the measurements in this study. The results suggest that O3 enhancement was primarily driven by local production, while regional transport mainly played an export role. However, source-oriented chemical transport model simulations have shown that O3 is less affected by local emissions than by regional transport (Gong et al., 2021), which appears to be inconsistent with the conclusions of this study. Moreover, process analysis has also indicated that vertical mixing can contribute more to surface O3 than chemical production (Mathur et al., 2018). Please provide possible explanations for the discrepancies between the results of this study and those reported by three-dimensional chemical transport models, and evaluate the reliability and limitations of the conclusions drawn in this work.
Gong, K., Li, L., Li, J., Qin, M., Wang, X., Ying, Q., et al. (2021), Quantifying the impacts of inter-city transport on air quality in the Yangtze River Delta urban agglomeration, China: Implications for regional cooperative controls of PM2.5 and O3. Sci Total Environ, 779, 146619.
Mathur, R., Hogrefe, C., Hakami, A., Zhao, S., Szykman, J., &Hagler, G. (2018), A Call for an Aloft Air Quality Monitoring Network: Need, Feasibility, and Potential Value. Environ. Sci. Tech., 52(19), 10903–10908.
4. P(O3) was approximated as P(O3)net in this study, because D(O3) was estimated to be ~0.7 ppb, and P(O3)net always has positive contribution. However, chemical process has negative contribution to O3 during nighttime due to NO titration. Therefore, the estimation of local and regional transport contribution to O3 has large uncertainties using this method.
5. Line 119: “analyzing” should be corrected as “analyze”.
6. Line 217: “time” should be corrected as “times”.
7. Line 299: “show” should be corrected as “showed”.