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Seasonal variation of PM2.5 acidity in ammonia-enriched regions: A machine learning framework for estimating ammonia concentrations

delete2026-07-01
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PRE
AI
Y
Yunfei Wei
W
Wei Zhang
J
Jingshen Zhang
Y
Yan Liu
Q
Qixiang Xu *
N
Nan Jiang *
DOI:10.1016/j.atmosenv.2026.122208delete
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Abstract

Abstract

En 中文
• XGBoost demonstrated superior NH3 prediction accuracy (R2 = 0.96). • PH peaked in winter (5.8) and reached its lowest value in summer (2.7). • Ca2+ dominated autumn pH shifts, RH primarily influenced summer pH dynamics. • TNH3 exhibited heightened pH sensitivity at lower concentrations.

Journal

Atmospheric Environment cover
Atmospheric Environment
IF:
3.7
Papers:
1.3K
Citations:
5.6W

Organization

Z
zhengzhou university
Scholars:
9.4K
Papers: 2.7K
Citations: 2
H
henan academy of sciences
Scholars:
680
Papers: 382
Citations: 0
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