Impact of meteorology and aerosol sources on PM2.5 and oxidative potential variability and levels in China DOI Creative Commons
Jiemei Liu, Jesper H. Christensen, Zhuyun Ye

et al.

Atmospheric chemistry and physics, Journal Year: 2024, Volume and Issue: 24(18), P. 10849 - 10867

Published: Sept. 26, 2024

Abstract. China has long-term high PM2.5 levels, and its oxidative potential (OP) is worth studying as it may unravel the impacts of aerosol pollution on public health better than alone. OP refers to ability induce stress (OS). are influenced by meteorological factors, anthropogenic emission sources, atmospheric aging. Although their impact been studied, measurements only recently became available a limited scale, they require considerable technical expertise resources. For this, joint relationship between for wide range conditions profiles remain elusive. Towards we estimated over using Danish Eulerian Hemispheric Model (DEHM) system with input from Weather Research Forecasting (WRF) model. It was found that higher values were primarily concentrated in urban agglomerations central eastern regions China, while lower western northeastern regions. Furthermore, probability density function revealed about 40 % areas had annual average concentrations exceeding Chinese concentration limit. OP, 36 have below 1 nmolmin-1m-3, 41 2 23 above which line previous measurement studies. Analysis simulations indicates contributed 46 65 variability, respectively, emissions 54 35 respectively. The sensitivity analysis also highlighted fact levels mostly determined secondary formation biomass burning.

Language: Английский

The recent and future PM2.5-related health burden in China apportioned by emission source DOI Creative Commons
Jiemei Liu, Jørgen Brandt, Jesper H. Christensen

et al.

Published: April 28, 2025

This study estimated PM2.5 (atmospheric fine particulate matter with aerodynamic diameter ≤2.5 µg) concentrations and the health burden in mainland China from 2010 to 2049 under two scenarios: Current Legistaions Maximum Technical Feasible Reductions. We assess premature deaths exposure, examining sources like coal combustion, biomass burning, industry, tailpipe emission on-road transport. Results show that central eastern account for 75% of PM2.5-related deaths, burning (40%) industry (34%) as primary contributors. Under Reductions scenarios, are projected decrease by 43% 80% (linear EVA) 28% increase 40% (nonlinear 2049. Assuming a linear relationship, scenario estimates reduced exposure could avoid 1.55 million annually compared 2010, primarily combustion heating,

Language: Английский

Citations

0

Impact of meteorology and aerosol sources on PM2.5 and oxidative potential variability and levels in China DOI Creative Commons
Jiemei Liu, Jesper H. Christensen, Zhuyun Ye

et al.

Atmospheric chemistry and physics, Journal Year: 2024, Volume and Issue: 24(18), P. 10849 - 10867

Published: Sept. 26, 2024

Abstract. China has long-term high PM2.5 levels, and its oxidative potential (OP) is worth studying as it may unravel the impacts of aerosol pollution on public health better than alone. OP refers to ability induce stress (OS). are influenced by meteorological factors, anthropogenic emission sources, atmospheric aging. Although their impact been studied, measurements only recently became available a limited scale, they require considerable technical expertise resources. For this, joint relationship between for wide range conditions profiles remain elusive. Towards we estimated over using Danish Eulerian Hemispheric Model (DEHM) system with input from Weather Research Forecasting (WRF) model. It was found that higher values were primarily concentrated in urban agglomerations central eastern regions China, while lower western northeastern regions. Furthermore, probability density function revealed about 40 % areas had annual average concentrations exceeding Chinese concentration limit. OP, 36 have below 1 nmolmin-1m-3, 41 2 23 above which line previous measurement studies. Analysis simulations indicates contributed 46 65 variability, respectively, emissions 54 35 respectively. The sensitivity analysis also highlighted fact levels mostly determined secondary formation biomass burning.

Language: Английский

Citations

1