the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurement Report: Long-term Assessment of Primary and Secondary Organic Aerosols in Shanghai Megacity throughout China’s Clean Air Actions since 2010
Abstract. A growing body of research has demonstrated the effectiveness of China’s Air Pollution Prevention and Control Action Plan in controlling PM2.5 pollution. However, there is a lack of long-term studies investigating the impact of these abatement policies on carbonaceous aerosols in PM2.5, particularly secondary organic carbon (SOC). Shanghai, as China’s largest megacity and prominent industrial hub, serves as a crucial gateway to the nation’s rapid development with a population exceeding twenty million. In this study, we conducted hourly online measurements of organic carbon (OC) and elemental carbon (EC) in PM2.5 in Shanghai from July 2010 to July 2017. The results revealed that the annual concentrations (mean ± 1 σ) of OC and EC reached their peaks in 2013 (9.5 ± 6.4 and 2.7 ± 2.6 µg m-3 to 3.0 ± 2.3 µg m-3 and 2.7 ± 2.1 µg m-3). Subsequently, a consistent year-by-year decrease in both OC and EC concentrations was observed, mirroring the trend observed for PM2.5. Primary organic carbon (POC), the primary component of OC, accounted for an average of 65.6 %, displaying similar trends to OC. This finding indicates the effectiveness of primary emission control measures. However, the concentration of secondary organic carbon (SOC) did not decrease from 2013 to 2017, remaining relatively stable within the range of 2.7 ± 2.6 µg m-3 to 3.0 ± 2.3 µg m-3. When considering data from previous studies in Shanghai, concentrations of SOC did not exhibit a noticeable decline until 2018, coinciding with the implementation of measures targeting volatile organic compounds (VOCs) emissions. Seasonally, with the exception of 2011, OC and EC concentrations were highest during winter, likely influenced by unfavourable meteorological conditions and long-range transport. SOC displayed no distinct seasonal fluctuations, as its formation is influenced by both photochemical reactions and meteorological conditions. POC and SOC exhibited different diurnal patterns, but neither showed a significant weekend effect, suggesting limited reduction in anthropogenic activities during weekends. Furthermore, SOC concentrations exhibited simultaneous increases in summer, particularly when O3 concentrations exceeded 50 µg m-3, indicating that stronger oxidation reactions contribute to higher SOC concentrations. Our findings also revealed concentration gradients of SOC dependent on wind direction (WD) and wind speed (WS), with higher concentrations typically observed for winds originating from the southwest and northwest. Potential sources from distant regions were analyzed using the potential source contribution function (PSCF), indicating that the geographical potential source area is concentrated near the middle and lower Yangtze River.
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RC1: 'Comment on egusphere-2024-1488', Anonymous Referee #1, 26 Aug 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1488/egusphere-2024-1488-RC1-supplement.pdf
- AC1: 'Reply on RC1', Yunhua Chang, 06 Jan 2025
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RC2: 'Comment on egusphere-2024-1488', Anonymous Referee #2, 20 Sep 2024
This manuscript investigated long-term variations of carbonaceous aerosols during 2010-2017 in Shanghai, based on field measurement of OC and EC by a semi-continuous carbon analyzer. Although it derived some patterns/findings from a large dataset, the scientific significance of this manuscript was rather fair (as a measurement report). I also have substantial concerns on the methodologies.
- First, the estimation of SOC. (1) Biogenic OC, as a type of primary OC, should not be ignored for Shanghai. (2) The robustness of the (OC/EC)pri, i.e., the OC to EC ratio representative of primary combustion sources, must be carefully evaluated. As shown in Fig. S2-S9, (OC/EC)pri showed significant monthly variations, and the variation patterns appeared pretty different among various years. In addition, (OC/EC)pri frequently exhibited abrupt and significant variations between successive months (i.e., within a relative short period). This did not make sense.
- Second, annual variations of carbon concentrations, as a main focus of this manuscript, are indeed important. However, I think they are not enough for an ACP paper. For example, inter-annual variation of meteorological conditions could also influence the patterns observed for carbonaceous aerosols, but relevant discussions are limited (e.g., Figure 1a).
- Third, this manuscript was quite similar to Wang et al. (Atmos. Chem. Phys., 22, 12789–12802, 2022), with respect to methodologies, data analysis approaches, etc., thus this paper was in lack of innovative viewpoints. Even if the authors think this problem is not critical, and the authors may consider this as the foundation of combining data from the two studies, but the sampling in Wang et al. (2022) is at a different site, so the equivalence of measurement results (e.g., OC and EC concentrations, and (OC/EC)pri) should be demonstrated first for the overlapping period.
- In addition, I suggest clearly distinguishing OC (in ugC/m3) and OA (in ug/m3). Particularly, OA should be used when comparing to PM2.5 mass concentration (e.g., Figure 1b).
Citation: https://doi.org/10.5194/egusphere-2024-1488-RC2 - AC2: 'Reply on RC2', Yunhua Chang, 06 Jan 2025
Status: closed
-
RC1: 'Comment on egusphere-2024-1488', Anonymous Referee #1, 26 Aug 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1488/egusphere-2024-1488-RC1-supplement.pdf
- AC1: 'Reply on RC1', Yunhua Chang, 06 Jan 2025
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RC2: 'Comment on egusphere-2024-1488', Anonymous Referee #2, 20 Sep 2024
This manuscript investigated long-term variations of carbonaceous aerosols during 2010-2017 in Shanghai, based on field measurement of OC and EC by a semi-continuous carbon analyzer. Although it derived some patterns/findings from a large dataset, the scientific significance of this manuscript was rather fair (as a measurement report). I also have substantial concerns on the methodologies.
- First, the estimation of SOC. (1) Biogenic OC, as a type of primary OC, should not be ignored for Shanghai. (2) The robustness of the (OC/EC)pri, i.e., the OC to EC ratio representative of primary combustion sources, must be carefully evaluated. As shown in Fig. S2-S9, (OC/EC)pri showed significant monthly variations, and the variation patterns appeared pretty different among various years. In addition, (OC/EC)pri frequently exhibited abrupt and significant variations between successive months (i.e., within a relative short period). This did not make sense.
- Second, annual variations of carbon concentrations, as a main focus of this manuscript, are indeed important. However, I think they are not enough for an ACP paper. For example, inter-annual variation of meteorological conditions could also influence the patterns observed for carbonaceous aerosols, but relevant discussions are limited (e.g., Figure 1a).
- Third, this manuscript was quite similar to Wang et al. (Atmos. Chem. Phys., 22, 12789–12802, 2022), with respect to methodologies, data analysis approaches, etc., thus this paper was in lack of innovative viewpoints. Even if the authors think this problem is not critical, and the authors may consider this as the foundation of combining data from the two studies, but the sampling in Wang et al. (2022) is at a different site, so the equivalence of measurement results (e.g., OC and EC concentrations, and (OC/EC)pri) should be demonstrated first for the overlapping period.
- In addition, I suggest clearly distinguishing OC (in ugC/m3) and OA (in ug/m3). Particularly, OA should be used when comparing to PM2.5 mass concentration (e.g., Figure 1b).
Citation: https://doi.org/10.5194/egusphere-2024-1488-RC2 - AC2: 'Reply on RC2', Yunhua Chang, 06 Jan 2025
Data sets
Measurement Report: Long-term Assessment of Primary and Secondary Organic Aerosols in Shanghai Megacity throughout China's Clean Air Actions since 2010 [dataset] Y. Chang https://doi.org/10.5281/zenodo.11235114
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