The problem of urban air pollution has caused widespread concern and solving the problem of air pollution has become a primary research focus. Cangzhou is one of the "2+26" cities in the air pollution transmission channel in the Beijing-Tianjin-Hebei (BTH) region, and its regional advantage is obvious. To study the distribution characteristics of major air pollutants, the air quality index (AQI) and mass concentrations of six criteria air pollutants, including PM2.5, PM10, SO2, NO2, CO and O3, from 2014 to 2018 were used. Furthermore, by employing the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, the air pollutant concentration level, temporal variations and air mass trajectory characteristics under different air quality levels in Cangzhou city were analysed. The results showed that the mass concentrations of PM2.5, PM10, SO2, NO2 and CO and PM2.5/PM10 increased successively with increasing pollution level, while the mass concentration of O3 was at a level of slight pollution, which first increased and then decreased. In the case of serious pollution, PM2.5 and PM10 were 3.3 and 2.4 times the Chinese Ambient Air Quality Standard (CAAQS) Grade II standard, respectively, and PM2.5/PM10 was 0.71 times the standard, indicating that as pollution increased, the air pollution gradually became composed of mainly fine particles. The air quality was dominantly good and light, accounting for 73.4% to 84.7% of the total air quality from 2014 to 2018, respectively. The ambient air quality improved annually; the proportion of excellent and good days increased from 42.9% to 63.8%, and the proportion of severe and serious pollution days decreased from 12.2% to 3.7%. The diurnal variations in air pollutants were different under different air quality levels. The air mass trajectory analysis showed that as the pollution level increased, the proportion of eastern and easterly air masses decreased, and the proportion of western and westerly air masses increased gradually. Compared with the CAAQS Grade II standard, the excessive levels of particulate matter increased, and PM2.5 was the most serious.
Published in | Journal of Health and Environmental Research (Volume 8, Issue 1) |
DOI | 10.11648/j.jher.20220801.12 |
Page(s) | 9-15 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2022. Published by Science Publishing Group |
Air Pollutants, Air Quality, Backward Trajectory, Temporal Variations
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APA Style
Jian Wang, Yanan Zhao, Mei Xu. (2022). Distribution Characteristics of Six Criteria Air Pollutants Under Different Air Quality Levels in Cangzhou City, China. Journal of Health and Environmental Research, 8(1), 9-15. https://doi.org/10.11648/j.jher.20220801.12
ACS Style
Jian Wang; Yanan Zhao; Mei Xu. Distribution Characteristics of Six Criteria Air Pollutants Under Different Air Quality Levels in Cangzhou City, China. J. Health Environ. Res. 2022, 8(1), 9-15. doi: 10.11648/j.jher.20220801.12
AMA Style
Jian Wang, Yanan Zhao, Mei Xu. Distribution Characteristics of Six Criteria Air Pollutants Under Different Air Quality Levels in Cangzhou City, China. J Health Environ Res. 2022;8(1):9-15. doi: 10.11648/j.jher.20220801.12
@article{10.11648/j.jher.20220801.12, author = {Jian Wang and Yanan Zhao and Mei Xu}, title = {Distribution Characteristics of Six Criteria Air Pollutants Under Different Air Quality Levels in Cangzhou City, China}, journal = {Journal of Health and Environmental Research}, volume = {8}, number = {1}, pages = {9-15}, doi = {10.11648/j.jher.20220801.12}, url = {https://doi.org/10.11648/j.jher.20220801.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jher.20220801.12}, abstract = {The problem of urban air pollution has caused widespread concern and solving the problem of air pollution has become a primary research focus. Cangzhou is one of the "2+26" cities in the air pollution transmission channel in the Beijing-Tianjin-Hebei (BTH) region, and its regional advantage is obvious. To study the distribution characteristics of major air pollutants, the air quality index (AQI) and mass concentrations of six criteria air pollutants, including PM2.5, PM10, SO2, NO2, CO and O3, from 2014 to 2018 were used. Furthermore, by employing the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, the air pollutant concentration level, temporal variations and air mass trajectory characteristics under different air quality levels in Cangzhou city were analysed. The results showed that the mass concentrations of PM2.5, PM10, SO2, NO2 and CO and PM2.5/PM10 increased successively with increasing pollution level, while the mass concentration of O3 was at a level of slight pollution, which first increased and then decreased. In the case of serious pollution, PM2.5 and PM10 were 3.3 and 2.4 times the Chinese Ambient Air Quality Standard (CAAQS) Grade II standard, respectively, and PM2.5/PM10 was 0.71 times the standard, indicating that as pollution increased, the air pollution gradually became composed of mainly fine particles. The air quality was dominantly good and light, accounting for 73.4% to 84.7% of the total air quality from 2014 to 2018, respectively. The ambient air quality improved annually; the proportion of excellent and good days increased from 42.9% to 63.8%, and the proportion of severe and serious pollution days decreased from 12.2% to 3.7%. The diurnal variations in air pollutants were different under different air quality levels. The air mass trajectory analysis showed that as the pollution level increased, the proportion of eastern and easterly air masses decreased, and the proportion of western and westerly air masses increased gradually. Compared with the CAAQS Grade II standard, the excessive levels of particulate matter increased, and PM2.5 was the most serious.}, year = {2022} }
TY - JOUR T1 - Distribution Characteristics of Six Criteria Air Pollutants Under Different Air Quality Levels in Cangzhou City, China AU - Jian Wang AU - Yanan Zhao AU - Mei Xu Y1 - 2022/01/12 PY - 2022 N1 - https://doi.org/10.11648/j.jher.20220801.12 DO - 10.11648/j.jher.20220801.12 T2 - Journal of Health and Environmental Research JF - Journal of Health and Environmental Research JO - Journal of Health and Environmental Research SP - 9 EP - 15 PB - Science Publishing Group SN - 2472-3592 UR - https://doi.org/10.11648/j.jher.20220801.12 AB - The problem of urban air pollution has caused widespread concern and solving the problem of air pollution has become a primary research focus. Cangzhou is one of the "2+26" cities in the air pollution transmission channel in the Beijing-Tianjin-Hebei (BTH) region, and its regional advantage is obvious. To study the distribution characteristics of major air pollutants, the air quality index (AQI) and mass concentrations of six criteria air pollutants, including PM2.5, PM10, SO2, NO2, CO and O3, from 2014 to 2018 were used. Furthermore, by employing the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, the air pollutant concentration level, temporal variations and air mass trajectory characteristics under different air quality levels in Cangzhou city were analysed. The results showed that the mass concentrations of PM2.5, PM10, SO2, NO2 and CO and PM2.5/PM10 increased successively with increasing pollution level, while the mass concentration of O3 was at a level of slight pollution, which first increased and then decreased. In the case of serious pollution, PM2.5 and PM10 were 3.3 and 2.4 times the Chinese Ambient Air Quality Standard (CAAQS) Grade II standard, respectively, and PM2.5/PM10 was 0.71 times the standard, indicating that as pollution increased, the air pollution gradually became composed of mainly fine particles. The air quality was dominantly good and light, accounting for 73.4% to 84.7% of the total air quality from 2014 to 2018, respectively. The ambient air quality improved annually; the proportion of excellent and good days increased from 42.9% to 63.8%, and the proportion of severe and serious pollution days decreased from 12.2% to 3.7%. The diurnal variations in air pollutants were different under different air quality levels. The air mass trajectory analysis showed that as the pollution level increased, the proportion of eastern and easterly air masses decreased, and the proportion of western and westerly air masses increased gradually. Compared with the CAAQS Grade II standard, the excessive levels of particulate matter increased, and PM2.5 was the most serious. VL - 8 IS - 1 ER -