Quantitative analysis of influencing factors to aerosol pH and its responses to PM2.5 and O3 pollution in a coastal city
Ke Xu
1, 2, 3
,
Ke Xu
1, 2, 3
,
Liqian Yin
1, 2
,
Qiaoling Chen
1, 2, 4
,
Dan Liao
5
,
Dengfeng Liao
5
,
Xiaoting Ji
1, 2, 4
,
Keran Zhang
1, 2, 6
,
Yu Wu
1, 2, 7
,
徐玲玲 Lingling Xu
1, 2, 4
,
Mengren Li
1, 2
,
Xiaolong Fan
1, 2
,
Fuwang Zhang
8
,
Zhi Huang
9
,
Jinsheng Chen
1, 2, 4
,
Youwei Hong
1, 2, 3, 4, 6
5
College of Environment and Public Health, Xiamen Huaxia University, Xiamen 361024, China
|
6
8
Environmental Monitoring Center of Fujian, Fuzhou 350003, China
|
9
Xiamen Institute of Environmental Science, Xiamen 361021, China
|
Publication type: Journal Article
Publication date: 2025-05-01
scimago Q1
wos Q1
SJR: 1.673
CiteScore: 15.2
Impact factor: 6.3
ISSN: 10010742, 18787320
PubMed ID:
39481940
General Medicine
Environmental Chemistry
Environmental Engineering
General Environmental Science
Abstract
Aerosol acidity (pH) plays an important role in the multiphase chemical processes of atmospheric particles. In this study, we demonstrated the seasonal trends of aerosol pH calculated with the ISORROPIA-II model in a coastal city of southeast China. We performed quantitative analysis on the various influencing factors on aerosol pH, and explored the responses of aerosol pH to different PM2.5 and O3 pollution levels. The results showed that the average aerosol pH was 2.92 ± 0.61, following the order of winter > spring > summer > autumn. Sensitivity tests revealed that SO42−, NHx, T and RH triggered the variations of aerosol pH. Quantitative analysis results showed that T (37.9%-51.2%) was the main factors affecting pH variations in four seasons, followed by SO42− (6.1%-23.7%), NHx (7.2%-22.2%) and RH (0–14.2%). Totally, annual mean meteorological factors (52.9%) and chemical compositions (41.3%) commonly contributed the aerosol ΔpH in the coastal city. The concentrations of PM2.5 was positively correlated with aerosol liquid water content (R2 = 0.53) and aerosol pH (R2 = 0.26), indicating that the increase in pH was related with the elevated NH4NO3 and decreased SO42−, and also the changes of T and RH. The Ox (O3 + NO2) was moderately correlated with aerosol pH (R2 = -0.48), attributable to the fact that the proportion of SO42− increased under high T and low RH conditions. The study strengthened our understanding of the contributions of influencing factors to aerosol pH, and also provided scientific evidences for chemical processes of atmospheric particles in coastal areas.
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Xu K. et al. Quantitative analysis of influencing factors to aerosol pH and its responses to PM2.5 and O3 pollution in a coastal city // Journal of Environmental Sciences. 2025. Vol. 151. pp. 284-297.
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Xu K. et al. Quantitative analysis of influencing factors to aerosol pH and its responses to PM2.5 and O3 pollution in a coastal city // Journal of Environmental Sciences. 2025. Vol. 151. pp. 284-297.
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TY - JOUR
DO - 10.1016/j.jes.2024.03.044
UR - https://linkinghub.elsevier.com/retrieve/pii/S1001074224001591
TI - Quantitative analysis of influencing factors to aerosol pH and its responses to PM2.5 and O3 pollution in a coastal city
T2 - Journal of Environmental Sciences
AU - Xu, Ke
AU - Xu, Ke
AU - Yin, Liqian
AU - Chen, Qiaoling
AU - Liao, Dan
AU - Liao, Dengfeng
AU - Ji, Xiaoting
AU - Zhang, Keran
AU - Wu, Yu
AU - Lingling Xu, 徐玲玲
AU - Li, Mengren
AU - Fan, Xiaolong
AU - Zhang, Fuwang
AU - Huang, Zhi
AU - Chen, Jinsheng
AU - Hong, Youwei
PY - 2025
DA - 2025/05/01
PB - Elsevier
SP - 284-297
VL - 151
PMID - 39481940
SN - 1001-0742
SN - 1878-7320
ER -
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BibTex (up to 50 authors)
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@article{2025_Xu,
author = {Ke Xu and Ke Xu and Liqian Yin and Qiaoling Chen and Dan Liao and Dengfeng Liao and Xiaoting Ji and Keran Zhang and Yu Wu and 徐玲玲 Lingling Xu and Mengren Li and Xiaolong Fan and Fuwang Zhang and Zhi Huang and Jinsheng Chen and Youwei Hong and others},
title = {Quantitative analysis of influencing factors to aerosol pH and its responses to PM2.5 and O3 pollution in a coastal city},
journal = {Journal of Environmental Sciences},
year = {2025},
volume = {151},
publisher = {Elsevier},
month = {may},
url = {https://linkinghub.elsevier.com/retrieve/pii/S1001074224001591},
pages = {284--297},
doi = {10.1016/j.jes.2024.03.044}
}