the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Characteristics of fine particle matters at the top of Shanghai Tower
Abstract. To investigate the physical and chemical processes of fine particle matters at mid-upper planetary boundary layer (PBL), we conducted one-year continuous measurements of fine particle matters (PM), chemical composition of non-refractory submicron aerosol (NR-PM1) and some gas species (including sulfur dioxide, nitrogen oxides and ozone) at an opening observatory (~600 m) at the top of Shanghai Tower (SHT), which is the Chinese 1st and World’s 2nd highest building located in the typical financial central business district of Shanghai, China. This is the first report for the characteristics of fine particles based on continuous and sophisticated online measurements at the mid-upper level of urban PBL. The observed PM2.5 and PM1 mass concentrations at SHT were 25.5±17.7 and 17.3±11.7 μg m-3 respectively. Organics, nitrate (NO3) and sulfate (SO4) occupied the first three leading contributions to NR-PM1 at SHT, accounting for 35.8 %, 28.6 % and 20.8 % respectively. The lower PM2.5 concentration was observed at SHT by 16.4 % compared with that near surface during the observation period. It was attributed to the decreased nighttime PM2.5 concentrations (29.4 % lower than surface) at SHT in all seasons due to the complete isolations from both emissions and gas precursors near surface. However, daytime PM2.5 concentrations at SHT were 12.4–35.1 % higher than those near surface from June to October, resulted from unexpected larger PM2.5 levels during early to middle afternoon at SHT than surface. We suppose the significant chemical production of secondary aerosols existed in mid-upper PBL because strong solar irradiance, adequate gas precursors (e.g., NOx) and lower temperature were observed at SHT favorable for both photochemical production and gas-to-particle partitioning. This was further demonstrated by the significant increasing rate of oxygenated organic aerosols and NO3 observed at SHT during 8:00–12:00 in spring (7.4 % h-1 and 12.9 % h-1), autumn (9.3 % h-1 and 9.1 % h-1) and summer (13.0 % h-1 and 11.4 % h-1), which cannot be fully explained by vertical mixing. It was noting that extremely high NO3 was observed at SHT both in daytime and nighttime in winter, accounting for 37.2 % in NR-PM1, suggesting the efficient pathway from heterogeneous and gas oxidated formation. Therefore, we highlight the priority of NOx reduction in Shanghai for the further improvement of air quality. This study reported greater daytime PM2.5 concentrations at the height of 600 m in urban PBL compared with surface measurement, providing insight into their potential effects on local air quality, radiation forcing, and cloud/fog formations. We propose that the efficient production of secondary aerosol in mid-upper PBL should be cognized and explored more comprehensively by synergetic observations in future.
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Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Journal article(s) based on this preprint
Interactive discussion
Status: closed
-
RC1: 'Comment on egusphere-2022-782', Anonymous Referee #1, 19 Sep 2022
The author conducted chemical composition measurement at high altitude, expanding our understanding on aerosol chemistry at mid-upper PBL. I suggest major revision for the manuscript prior to be finally published in ACP.
- The collection efficiency was chosen as 0.5. In fact, the composition dependent CE was more precise. The author should compare these two methods and evaluate whether default CE influence NR-PM1 species quantification.
- PMF source apportionment was performed for entire study, with two-factor solution being resolved. Considering that the emissions sources could be different in different seasons, PMF should be done separately during each season. Did the author try to do ME-2 analysis with constrained POA profiles to improve results?
- Simultaneous measurements of chemical compositions at Shanghai tower and the ground benefit the comparisons of vertical differences. In line 140-145, the author compared nitrate at SHT with previous studies. The question is that meteorology significantly impacts PM concentrations. The author simply compared the annual average nitrate contribution with surface measurements, without considering the sampling sites, seasons and meteorology. Another question is why higher nitrate aloft owed to lower temperature. Is it possible that other pathways also contribute to nitrate formation?
- The author said throughout the study that SHT is close to the top of PBL but no PBL data was shown. The PBL is dynamically varied during daytime and nighttime, and the PBL height might lower than 600 m under severe haze pollutions.
- In line 155-165, it is confused that the author described the maximum and minimum temperature and RH in detail solely. In fact, the meteorology was linked to chemical compositions. Discussing the influence and interaction between meteorology and PM is more charming. Why the author showed the daily average values in Table 1?
- In Sec. 3.2.2, please give the definition of anomaly. Is it calculated by comparing with annual average or history records? Why were they anomaly?
- In line 202-203, the author state that extra aerosol productions contributed to higher PM2.5 concentrations at SHT than surface. Please elaborate the conclusion.
- In line 205-210, the author said that exchange between SHT and surface only exits in daytime. If nocturnal PBL is higher than SHT, nighttime exchange can also occur. Nighttime PM2.5 at SHT was not independent from the ground level.
- In Sec. 3.2.4 and figure 4, the author can also plot and discuss mass fractions of NR-PM1 during daytime and nighttime separately.
- In figure 6, NO2 at SHT increased by 21.8-61.4% from 08:00 to 12:00, while they were reduced at ground level during this time. Thus, vertical mixing could be the explanation rather than vehicles. In fact, the peak at morning at surface was attributed to traffic during morning rush hour.
- In line 62, “vatical distribution” might be a typo.
- Please uniform the subscripts of sulfate, nitrate and ammonium throughout the study.
Citation: https://doi.org/10.5194/egusphere-2022-782-RC1 -
AC1: 'Reply on RC1', Yin Changqin, 06 Dec 2022
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2022/egusphere-2022-782/egusphere-2022-782-AC1-supplement.pdf
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RC2: 'Comment on egusphere-2022-782', Anonymous Referee #2, 07 Oct 2022
In this manuscript, the authors gave a very details analysis of observed one year continuous PM2.5 and its chemical components at the top of 632 m high Shanghai Tower (SHT). The data collected were precious, and the topic is of great interesting to recognize vertical PM2.5 characteristics and its formation processes related to emission, chemical production and boundary layer (BL) etc. The analysis is mostly sound, but some details need clarify. I recommend a minor revision and my specific comments listed below.
Specific comments:
- My primary concern is that the study address the PM2.5 and its chemical components at SHT dominating by vertical mixing from surface (most in daytime) and chemical production therein from surface precursors, while omitted the PM originating from transport outside Shanghai. The seasonal winds induced by Asia monsoon are quite difference in upstream (ocean or land, most natural or anthropogenic in background) and could impact much at SHT than on the surface. I suggest the authors should refer to this factor or indicting for future research.
- nitrate (NO3-) and sulfate (SO42=) should be correctly present in the manuscript.
- In line 69, Shanghai is not only one of the most densely populated megacities in China, but also in the world.
- In this study, the heights of BL were important. Please give a brief introduction of BLHs in different season and day and night in Shanghai.
- In line 176-178, the inference is not very exact. The seasonal variations of BLH could be key factor for the similar monthly variations of PM2.5 at SHT and SUR, and related to regional transport, vertical diffusions etc. And I am happy to find you mentioned of regional transport, while did not raise this in conclusion, abstract and other paragraphs.
- In 188-190, the anomalies may reflect the seasonal variations of BLHs.
- In 210-211, “completely” is not very exact because in some synoptic conditions, the mass and energy exchange between free troposphere and within the BL could occur.
- What were the definitions of POA, OOA, and HOA, and their chemical components in this study?
- In figure 5, why there was the largest difference of PM2.5 between SHT&SUR in summer, while the largest difference of NOR in winter and spring in figure 7?
- In line 370, latitude should be altitude.
- In line 374, “since the SO2 level was relatively lower than the other seasons.”. or also because the favorable diffusion and wet scavengingcondition of atmosphere in summer.
Citation: https://doi.org/10.5194/egusphere-2022-782-RC2 -
AC2: 'Reply on RC2', Yin Changqin, 06 Dec 2022
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2022/egusphere-2022-782/egusphere-2022-782-AC2-supplement.pdf
Interactive discussion
Status: closed
-
RC1: 'Comment on egusphere-2022-782', Anonymous Referee #1, 19 Sep 2022
The author conducted chemical composition measurement at high altitude, expanding our understanding on aerosol chemistry at mid-upper PBL. I suggest major revision for the manuscript prior to be finally published in ACP.
- The collection efficiency was chosen as 0.5. In fact, the composition dependent CE was more precise. The author should compare these two methods and evaluate whether default CE influence NR-PM1 species quantification.
- PMF source apportionment was performed for entire study, with two-factor solution being resolved. Considering that the emissions sources could be different in different seasons, PMF should be done separately during each season. Did the author try to do ME-2 analysis with constrained POA profiles to improve results?
- Simultaneous measurements of chemical compositions at Shanghai tower and the ground benefit the comparisons of vertical differences. In line 140-145, the author compared nitrate at SHT with previous studies. The question is that meteorology significantly impacts PM concentrations. The author simply compared the annual average nitrate contribution with surface measurements, without considering the sampling sites, seasons and meteorology. Another question is why higher nitrate aloft owed to lower temperature. Is it possible that other pathways also contribute to nitrate formation?
- The author said throughout the study that SHT is close to the top of PBL but no PBL data was shown. The PBL is dynamically varied during daytime and nighttime, and the PBL height might lower than 600 m under severe haze pollutions.
- In line 155-165, it is confused that the author described the maximum and minimum temperature and RH in detail solely. In fact, the meteorology was linked to chemical compositions. Discussing the influence and interaction between meteorology and PM is more charming. Why the author showed the daily average values in Table 1?
- In Sec. 3.2.2, please give the definition of anomaly. Is it calculated by comparing with annual average or history records? Why were they anomaly?
- In line 202-203, the author state that extra aerosol productions contributed to higher PM2.5 concentrations at SHT than surface. Please elaborate the conclusion.
- In line 205-210, the author said that exchange between SHT and surface only exits in daytime. If nocturnal PBL is higher than SHT, nighttime exchange can also occur. Nighttime PM2.5 at SHT was not independent from the ground level.
- In Sec. 3.2.4 and figure 4, the author can also plot and discuss mass fractions of NR-PM1 during daytime and nighttime separately.
- In figure 6, NO2 at SHT increased by 21.8-61.4% from 08:00 to 12:00, while they were reduced at ground level during this time. Thus, vertical mixing could be the explanation rather than vehicles. In fact, the peak at morning at surface was attributed to traffic during morning rush hour.
- In line 62, “vatical distribution” might be a typo.
- Please uniform the subscripts of sulfate, nitrate and ammonium throughout the study.
Citation: https://doi.org/10.5194/egusphere-2022-782-RC1 -
AC1: 'Reply on RC1', Yin Changqin, 06 Dec 2022
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2022/egusphere-2022-782/egusphere-2022-782-AC1-supplement.pdf
-
RC2: 'Comment on egusphere-2022-782', Anonymous Referee #2, 07 Oct 2022
In this manuscript, the authors gave a very details analysis of observed one year continuous PM2.5 and its chemical components at the top of 632 m high Shanghai Tower (SHT). The data collected were precious, and the topic is of great interesting to recognize vertical PM2.5 characteristics and its formation processes related to emission, chemical production and boundary layer (BL) etc. The analysis is mostly sound, but some details need clarify. I recommend a minor revision and my specific comments listed below.
Specific comments:
- My primary concern is that the study address the PM2.5 and its chemical components at SHT dominating by vertical mixing from surface (most in daytime) and chemical production therein from surface precursors, while omitted the PM originating from transport outside Shanghai. The seasonal winds induced by Asia monsoon are quite difference in upstream (ocean or land, most natural or anthropogenic in background) and could impact much at SHT than on the surface. I suggest the authors should refer to this factor or indicting for future research.
- nitrate (NO3-) and sulfate (SO42=) should be correctly present in the manuscript.
- In line 69, Shanghai is not only one of the most densely populated megacities in China, but also in the world.
- In this study, the heights of BL were important. Please give a brief introduction of BLHs in different season and day and night in Shanghai.
- In line 176-178, the inference is not very exact. The seasonal variations of BLH could be key factor for the similar monthly variations of PM2.5 at SHT and SUR, and related to regional transport, vertical diffusions etc. And I am happy to find you mentioned of regional transport, while did not raise this in conclusion, abstract and other paragraphs.
- In 188-190, the anomalies may reflect the seasonal variations of BLHs.
- In 210-211, “completely” is not very exact because in some synoptic conditions, the mass and energy exchange between free troposphere and within the BL could occur.
- What were the definitions of POA, OOA, and HOA, and their chemical components in this study?
- In figure 5, why there was the largest difference of PM2.5 between SHT&SUR in summer, while the largest difference of NOR in winter and spring in figure 7?
- In line 370, latitude should be altitude.
- In line 374, “since the SO2 level was relatively lower than the other seasons.”. or also because the favorable diffusion and wet scavengingcondition of atmosphere in summer.
Citation: https://doi.org/10.5194/egusphere-2022-782-RC2 -
AC2: 'Reply on RC2', Yin Changqin, 06 Dec 2022
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2022/egusphere-2022-782/egusphere-2022-782-AC2-supplement.pdf
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Changqin Yin
Jianming Xu
Wei Gao
Liang Pan
Yixuan Gu
Qingyan Fu
Fan Yang
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(2630 KB) - Metadata XML
-
Supplement
(1108 KB) - BibTeX
- EndNote
- Final revised paper