TY - JOUR
T1 - Influence of atmospheric PM2.5, PM10, O3, CO, NO2, SO2, and meteorological factors on the concentration of airborne pollen in Guangzhou, China
AU - Rahman, Ananna
AU - Luo, Chuanxiu
AU - Khan, Md Hafijur Rahaman
AU - Ke, Jinzhao
AU - Thilakanayaka, Vidusanka
AU - Kumar, Sazal
N1 - Funding Information:
We thank our research colleagues from the South China Sea Institute of Oceanology (SCSIO). We gratefully acknowledge the editor James Schauer and two anonymous reviewers for their valuable comments. We also thankful to Weiming Jiang and Gang Lin for helping us during sample collection. This study was jointly funded by the research program of Guangzhou Science, Technology and Innovation Commission (contract number 201510010043 ), the National Natural Science Foundation of China (grants NSFC 41876062 , NSFC 41676047 , NSFC 41661144003 , and 91228207 ), the Strategic Priority Research Program of the Chinese Academy of Sciences (grant no. XDA11030104 ), and Innovation Development Fund Projects of Innovation Research Institute on South China Sea Ecological and Environmental Engineering , Chinese Academy of Sciences (no. ISEE2018PY02 ).
Funding Information:
We thank our research colleagues from the South China Sea Institute of Oceanology (SCSIO). We gratefully acknowledge the editor James Schauer and two anonymous reviewers for their valuable comments. We also thankful to Weiming Jiang and Gang Lin for helping us during sample collection. This study was jointly funded by the research program of Guangzhou Science, Technology and Innovation Commission (contract number 201510010043), the National Natural Science Foundation of China (grants NSFC 41876062, NSFC 41676047, NSFC 41661144003, and 91228207), the Strategic Priority Research Program of the Chinese Academy of Sciences (grant no. XDA11030104), and Innovation Development Fund Projects of Innovation Research Institute on South China Sea Ecological and Environmental Engineering, Chinese Academy of Sciences (no. ISEE2018PY02).
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/9/1
Y1 - 2019/9/1
N2 - The existence of biological (pollen and spore)and non-biological (PM2.5, PM10, O3, CO, NO2, SO2, etc.)particles in the atmosphere is connected to the frequency of adverse allergenic reactions affecting human health. Considering all probable effects of atmospheric pollutants and airborne pollen on allergic reactions, the present study mainly examines the influence of non-biological pollutants and weather parameters on the concentration of airborne pollen in the Guangzhou city area by using Pearson's correlation, Spearman's rho test, and multiple linear regressions. Accordingly, we analyze the seasonal variation of non-biological pollutants, meteorological parameters, and airborne pollen during 2017 from two districts (Haizhu and Panyu)of Guangzhou, China. The airborne pollen data were collected using the volumetric method. Spring and autumn were the primary seasons for most of the pollen identification in this area. Pearson's correlation and Spearman's rho test revealed that pollen dispersion was significantly correlated with non-biological pollutants and meteorological parameters. Among them, PM2.5 and O3 were positively correlated with pollen concentration and NO2 was negatively correlated. A significant positive correlation was observed between temperature and wind speed with pollen concentration. Precipitation and relative humidity were negatively correlated with pollen concentration during the study period. In contrast, multiple linear regressions revealed a minor effect among these parameters on pollen concentration. However, the meteorological parameter shows more valid regression than the air pollutants. Some inconsistent results were discovered, which might be due to differences in climate, vegetation type, and rapid urbanization. Therefore, considering the long periods needed to collect data on pollen, further research is necessary to investigate the allergenic effects and health burden due to atmospheric pollutants.
AB - The existence of biological (pollen and spore)and non-biological (PM2.5, PM10, O3, CO, NO2, SO2, etc.)particles in the atmosphere is connected to the frequency of adverse allergenic reactions affecting human health. Considering all probable effects of atmospheric pollutants and airborne pollen on allergic reactions, the present study mainly examines the influence of non-biological pollutants and weather parameters on the concentration of airborne pollen in the Guangzhou city area by using Pearson's correlation, Spearman's rho test, and multiple linear regressions. Accordingly, we analyze the seasonal variation of non-biological pollutants, meteorological parameters, and airborne pollen during 2017 from two districts (Haizhu and Panyu)of Guangzhou, China. The airborne pollen data were collected using the volumetric method. Spring and autumn were the primary seasons for most of the pollen identification in this area. Pearson's correlation and Spearman's rho test revealed that pollen dispersion was significantly correlated with non-biological pollutants and meteorological parameters. Among them, PM2.5 and O3 were positively correlated with pollen concentration and NO2 was negatively correlated. A significant positive correlation was observed between temperature and wind speed with pollen concentration. Precipitation and relative humidity were negatively correlated with pollen concentration during the study period. In contrast, multiple linear regressions revealed a minor effect among these parameters on pollen concentration. However, the meteorological parameter shows more valid regression than the air pollutants. Some inconsistent results were discovered, which might be due to differences in climate, vegetation type, and rapid urbanization. Therefore, considering the long periods needed to collect data on pollen, further research is necessary to investigate the allergenic effects and health burden due to atmospheric pollutants.
KW - Airborne pollen
KW - Atmospheric pollutants
KW - Guangzhou
KW - Meteorological parameters
KW - Statistical analysis
UR - http://www.scopus.com/inward/record.url?scp=85066272999&partnerID=8YFLogxK
U2 - 10.1016/j.atmosenv.2019.05.049
DO - 10.1016/j.atmosenv.2019.05.049
M3 - Article
AN - SCOPUS:85066272999
SN - 1352-2310
VL - 212
SP - 290
EP - 304
JO - Atmospheric Environment
JF - Atmospheric Environment
ER -
SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities
SDG 13 Climate Action