Explainable Machine Learning Reveals the Unknown Sources of Atmospheric HONO during COVID-19 DOI
Zhiwei Gao, Yue Wang, Sasho Gligorovski

et al.

ACS ES&T Air, Journal Year: 2024, Volume and Issue: 1(10), P. 1252 - 1261

Published: Aug. 27, 2024

Nitrous acid (HONO) is a key precursor of the hydroxyl radical (•OH), playing an important role in atmospheric oxidation capacity. However, unknown sources HONO (Punknown) are frequently reported and potential controversial. Here, we explored Punknown during COVID-19 different seasons epidemic control phases Shanghai by eXtreme Gradient Boosting (XGBoost) Shapley Additive Explanations (SHAP) for first time. They demonstrated that decrease anthropogenic activity would inhibit secondary formation HONO, as policies turned strict. The explainable machine learning revealed nitrogen dioxide (NO2) had significant impacts on spring 2020 (P1), where could be fully explained including light-induced heterogeneous conversion NO2 ground, building, aerosol surfaces. With untightening 2021 (P3), budget came to balance after further addition photolysis particulate nitrate (NO3–) soil emission. As P2 (summer), decreased 54% with all new added. These results provide insights into chemistry response reduced emissions, improving predictions

Language: Английский

Elucidating the Mechanism on the Transition-Metal Ion-Synergetic-Catalyzed Oxidation of SO2 with Implications for Sulfate Formation in Beijing Haze DOI

Si Zhang,

Dapeng Li, Shuangshuang Ge

et al.

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: 58(6), P. 2912 - 2921

Published: Jan. 22, 2024

Currently, atmospheric sulfate aerosols cannot be predicted reliably by numerical models because the pathways and kinetics of formation are unclear. Here, we systematically investigated synergetic catalyzing role transition-metal ions (TMIs, Fe3+/Mn2+) in oxidation SO2 O2 on using chamber experiments. Our results showed that effect TMIs is critically dependent aerosol pH due to solubility Fe(III) species sensitive aqueous phase acidity, which effective only under < 3 conditions. The rate 2 orders magnitude larger than bulk solution increases significantly smaller aerosols, suggesting such a synergetic-catalyzed occurs surface. kinetic reaction can described as R = k*[H+]−2.95[Mn(II)][Fe(III)][S(IV)] (pH ≤ 3.0). We found TMI-synergetic-catalyzed dominant pathway Beijing when haze particles very acidic, while heterogeneous NO2 most important weakly acidic. work for first time clarified periods, parameterized into future studies formation.

Language: Английский

Citations

11

Variation in PM2.5 Chemical Composition During the Heating Seasons from 2018–2019 to 2020–2021 in Harbin: Response to Mitigation Strategies DOI
Qinqin Yu, Jiumeng Liu, Yuan Cheng

et al.

Aerosol Science and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Language: Английский

Citations

1

An ensemble interval prediction model with change point detection and interval perturbation-based adjustment strategy: A case study of air quality DOI
Feng Jiang, Qiannan Zhu, Tianhai Tian

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 222, P. 119823 - 119823

Published: March 9, 2023

Language: Английский

Citations

17

Nitrate pollution deterioration in winter driven by surface ozone increase DOI Creative Commons

Zekun Zhang,

Bingqing Lu, Chao Liu

et al.

npj Climate and Atmospheric Science, Journal Year: 2024, Volume and Issue: 7(1)

Published: July 4, 2024

Abstract Recently, nitrate (NO 3 – ) levels in winter pollution eastern China have been increasing yearly and become the main component of PM 2.5 . The factors contributing to this rise surface NO concentrations remain unclear, complicating development targeted control measures. This study utilizes observational data from Shanghai during 2019, alongside box model simulations, recreate − event identify key growth process. analysis demonstrated that a ozone significantly promotes production by facilitating x conversion via gas-phase heterogeneous reactions. These findings could explain correlation between synchronous increase recent years. Furthermore, simulation strategies for volatile organic compounds (VOCs) identified an approach centered on reduction as notably effective mitigating Yangtze River Delta.

Language: Английский

Citations

6

Secondary inorganic aerosols and aerosol acidity at different PM2.5 pollution levels during winter haze episodes in the Sichuan Basin, China DOI

Xiaoxin Fu,

Xinming Wang, Tengyu Liu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 918, P. 170512 - 170512

Published: Jan. 28, 2024

Citations

4

Quantifying Contributions of Factors and Their Interactions to Aerosol Acidity with a Multiple-Linear-Regression-Based Framework: A Case Study in the Pearl River Delta, China DOI Creative Commons
Hong Ling,

Mingqi Deng,

Qi Zhang

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(2), P. 172 - 172

Published: Jan. 29, 2024

This study presents an approach using multiple linear regression to quantify the impact of meteorological parameters and chemical species on aerosol pH variance in urban setting Pearl River Delta, China. Additionally, it assesses contributions interactions among these factors pH. The analysis successfully explains over 96% variance, attributing 85.8% original variables 6.7% bivariate interactions, with further 2.3% 1.0% from trivariate quadrivariate respectively. Our results highlight that factors, particularly temperature humidity, are more influential than components affecting variance. Temperature alone accounts for 37.3% while humidity contributes approximately 20%. On front, sulfate ammonium most significant contributors, adding 14.3% 9.1% In realm interplay between components, especially TNO3–RH pair, is exceptionally impactful, constituting 58.1% total contribution interactions. summary, this illuminates their interplay, suggesting integration statistical methods thermodynamic models enhanced understanding acidity dynamics future.

Language: Английский

Citations

4

A quantitative study on the influencing pathways of aerosol acidity: the non-neglectable role of non-ideality DOI

Hanze Cui,

Yaxing Du, Hui Zhang

et al.

Atmospheric Environment, Journal Year: 2025, Volume and Issue: unknown, P. 121256 - 121256

Published: April 1, 2025

Language: Английский

Citations

0

Characteristics, regional transport and control strategies of atmospheric ammonia in urban Taiyuan, Fenwei Plain, China DOI

Mingquan Ren,

Lili Guo, Yang Cui

et al.

Atmospheric Pollution Research, Journal Year: 2025, Volume and Issue: unknown, P. 102505 - 102505

Published: March 1, 2025

Language: Английский

Citations

0

Monitoring and Dispersion Modelling of Particulate Matter (PM2.5) in Rwanda DOI
Elisephane Irankunda, Zoltàn Török

Aerosol Science and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: March 19, 2025

Language: Английский

Citations

0

Characteristics and sources of PM2.5-bound elements in Shanghai during autumn and winter of 2019: Insight into the development of pollution episodes DOI
Yanan Chen, Xingnan Ye,

Yinghui Yao

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 881, P. 163432 - 163432

Published: April 12, 2023

Language: Английский

Citations

9