Analysis of BC Pollution Characteristics under PM2.5 and O3 Pollution Conditions in Nanjing from 2015 to 2020
<p>(<b>a</b>) Annual proportions of days with different air quality levels in 2015–2020; (<b>b</b>) Seasonal proportions of days with different air quality levels in 2015–2020.</p> "> Figure 2
<p>(<b>a</b>) Annual variations in polluted days for the dominant pollutant PM<sub>2.5</sub> in 2015–2020; (<b>b</b>) Annual variations in polluted days for the dominant pollutant O<sub>3</sub> in 2015–2020; (<b>c</b>) Seasonal variations in polluted days for the dominant pollutant PM<sub>2.5</sub> in 2015–2020; (<b>d</b>) Seasonal variations in polluted days for the dominant pollutant O<sub>3</sub> in 2015–2020. From <a href="#atmosphere-13-01440-f002" class="html-fig">Figure 2</a>a, it can be seen that the number of days with PM<sub>2.5</sub> as the dominant pollutant decreased yearly, with 89 in 2015 and only 18 in 2020, with an annual rate of decrease of 16.0%. Meanwhile, the number of slightly polluted, moderately polluted, and heavily polluted days also showed a significant decline. The number of days with slight pollution and moderate pollution in 2015 were 46 and 32, respectively, whereas in 2020, there were only 15 and 3 days that, when compared with the number of days in 2015, fell by 67.4% and 90.6% respectively, and there was no heavy pollution in 2020. This is due to the implementation of measures to adjust the industrial, energy, and transport structures in the “Action Plan for the Prevention and Control of Air Pollution” and the “Three-Year Action Plan for the Defense of the Blue Sky implemented from 2018 to 2020”. Available online: <a href="http://zrzy.tianshui.gov.cn/dayin-c9c80aba59ed471fa05f7eddd55abeea.htm" target="_blank">http://zrzy.tianshui.gov.cn/dayin-c9c80aba59ed471fa05f7eddd55abeea.htm</a> (accessed on 30 August 2021). These actions have significantly reduced the total emissions of major air pollutants, resulting in a significant decrease in PM<sub>2.5</sub> and significantly reducing the number of PM<sub>2.5</sub> pollution days. In <a href="#atmosphere-13-01440-f002" class="html-fig">Figure 2</a>b, it can be seen that when the dominant pollutant was O<sub>3</sub>, the number of polluted days was predominantly slight, with an average annual percentage of 87.3%. The number of days with O<sub>3</sub> as the dominant pollutant increased from 54 in 2015 to 78 in 2019, which was the highest number of days in six years, with an annual increase of 11.1%. This may be due to the decrease in the number of days polluted by PM<sub>2.5</sub>, which reduced the aerosol optical thickness, increased the amount of light reaching near the ground, and accelerated the photolytic reaction rate, thus leading to an increase in O<sub>3</sub> pollution. It also indicated that the dominant pollutant of air pollution in Nanjing gradually changed from PM<sub>2.5</sub> to O<sub>3</sub>.</p> "> Figure 3
<p>(<b>a</b>) Annual variations in BC mass concentrations at different air quality levels for the dominant pollutant PM<sub>2.5</sub> in 2015–2020; (<b>b</b>) Annual variations in BC mass concentrations at different air quality levels for the dominant pollutant O<sub>3</sub> in 2015–2020; (<b>c</b>) Seasonal variations in BC mass concentrations at different air quality levels for the dominant pollutant PM<sub>2.5</sub> in 2015–2020; (<b>d</b>) Seasonal variations in BC mass concentrations at different air quality levels for the dominant pollutant O<sub>3</sub> in 2015–2020.</p> "> Figure 4
<p>(<b>a</b>) Annual variations in wind speed at different air quality levels for the dominant pollutant PM<sub>2.5</sub> in 2015–2020; (<b>b</b>) Annual variations in wind speed at different air quality levels for the dominant pollutant O<sub>3</sub> in 2015–2020; (<b>c</b>) Seasonal variations in wind speed at different air quality levels for the dominant pollutant PM<sub>2.5</sub> in 2015–2020; (<b>d</b>) Seasonal variations in wind speed at different air quality levels for the dominant pollutant O<sub>3</sub> in 2015–2020; (<b>e</b>) Annual variations in visibility at different air quality levels for the dominant pollutant PM<sub>2.5</sub> in 2015–2020; (<b>f</b>) Annual variations in visibility at different air quality levels for the dominant pollutant O<sub>3</sub> in 2015–2020; (<b>g</b>) Seasonal variations in visibility at different air quality levels for the dominant pollutant PM<sub>2.5</sub> in 2015–2020; (<b>h</b>) Seasonal variations in visibility at different air quality levels for the dominant pollutant O<sub>3</sub> in 2015–2020.</p> "> Figure 5
<p>(<b>a</b>) Annual variations in inversion layer height and inversion layer thickness at 08:00 for the dominant pollutant PM<sub>2.5</sub> at different air quality levels in 2015–2020; (<b>b</b>) Annual variations in inversion layer height and inversion layer thickness at 08:00 for the dominant pollutant O<sub>3</sub> at different air quality levels in 2015–2020; (<b>c</b>) Annual variations in BC mass concentration and inversion layer intensity at 08:00 for the dominant pollutant PM<sub>2.5</sub> at different air quality levels in 2015–2020; (<b>d</b>) Annual variations in BC mass concentration and inversion layer intensity at 08:00 for the dominant pollutant O<sub>3</sub> at different air quality levels in 2015–2020.</p> "> Figure 6
<p>(<b>a</b>) Annual variations in inversion layer height and inversion layer thickness at 20:00 for the dominant pollutant PM<sub>2.5</sub> at different air quality levels in 2015–2020; (<b>b</b>) Annual variations in inversion layer height and inversion layer thickness at 20:00 for the dominant pollutant O<sub>3</sub> at different air quality levels in 2015–2020; (<b>c</b>) Annual variations in BC mass concentration and inversion layer intensity at 20:00 for the dominant pollutant PM<sub>2.5</sub> at different air quality levels in 2015–2020; (<b>d</b>) Annual variations in BC mass concentration and inversion layer intensity at 20:00 for the dominant pollutant O<sub>3</sub> at different air quality levels in 2015–2020.</p> "> Figure 7
<p>(<b>a</b>) Seasonal variations in inversion layer height and inversion layer thickness at 08:00 for the dominant pollutant PM<sub>2.5</sub> at different air quality levels in 2015–2020; (<b>b</b>) Seasonal variations in inversion layer height and inversion layer thickness at 08:00 for the dominant pollutant O<sub>3</sub> at different air quality levels in 2015–2020; (<b>c</b>) Seasonal variations in BC mass concentration and inversion layer intensity at 08:00 for the dominant pollutant PM<sub>2.5</sub> at different air quality levels in 2015–2020; (<b>d</b>) Seasonal variations in BC mass concentration and inversion layer intensity at 08:00 for the dominant pollutant O<sub>3</sub> at different air quality levels in 2015–2020.</p> "> Figure 8
<p>(<b>a</b>) Seasonal variations in inversion layer height and inversion layer thickness at 20:00 for the dominant pollutant PM<sub>2.5</sub> at different air quality levels in 2015–2020; (<b>b</b>) Seasonal variations in inversion layer height and inversion layer thickness at 20:00 for the dominant pollutant O<sub>3</sub> at different air quality levels in 2015–2020; (<b>c</b>) Seasonal variations in BC mass concentration and inversion layer intensity at 20:00 for the dominant pollutant PM<sub>2.5</sub> at different air quality levels in 2015–2020; (<b>d</b>) Seasonal variations in BC mass concentration and inversion layer intensity at 20:00 for the dominant pollutant O<sub>3</sub> at different air quality levels in 2015–2020.</p> ">
Abstract
:1. Introduction
2. Experiment and Methods
2.1. Site Introduction
2.2. Observation Instruments and Data
3. Results and Discussion
3.1. Characteristics of Air Quality Class Changes
3.2. Characteristics of BC Mass Concentration Changes under Different Air Quality Classes
3.3. Influence of Boundary Layer Characteristics on BC Mass Concentrations at Different Air Quality Levels
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Air Quality Levels | PM2.5 24 h Average (μg·m−3) | O3 8 h Sliding Average (μg·m−3) |
---|---|---|
Excellent | 0 < PM2.5 ≤ 35 | 0 < O3 ≤ 100 |
Good | 35 < PM2.5 ≤ 75 | 100 < O3 ≤ 160 |
Slight pollution | 75 < PM2.5 ≤ 115 | 160 < O3 ≤ 215 |
Moderate pollution | 115 < PM2.5 ≤ 150 | 215 < O3 ≤ 265 |
Heavy pollution | 150 < PM2.5 ≤ 250 | 265 < O3 ≤ 800 |
Serious pollution | 250 < PM2.5 | 800 < O3 |
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Pei, Y.; Wang, H.; Tan, Y.; Zhu, B.; Zhao, T.; Lu, W.; Shi, S. Analysis of BC Pollution Characteristics under PM2.5 and O3 Pollution Conditions in Nanjing from 2015 to 2020. Atmosphere 2022, 13, 1440. https://doi.org/10.3390/atmos13091440
Pei Y, Wang H, Tan Y, Zhu B, Zhao T, Lu W, Shi S. Analysis of BC Pollution Characteristics under PM2.5 and O3 Pollution Conditions in Nanjing from 2015 to 2020. Atmosphere. 2022; 13(9):1440. https://doi.org/10.3390/atmos13091440
Chicago/Turabian StylePei, Yuxuan, Honglei Wang, Yue Tan, Bin Zhu, Tianliang Zhao, Wen Lu, and Shuangshuang Shi. 2022. "Analysis of BC Pollution Characteristics under PM2.5 and O3 Pollution Conditions in Nanjing from 2015 to 2020" Atmosphere 13, no. 9: 1440. https://doi.org/10.3390/atmos13091440