Triangulating residential biomass burning impacts on PM2.5 via PMF, satellite observation-based emission inventory, and WRF-Chem DOI Creative Commons

Xingsong Ye,

Jiaer Yang,

Zhiwen Chen

и другие.

Environment International, Год журнала: 2025, Номер 201, С. 109580 - 109580

Опубликована: Июнь 3, 2025

In agricultural regions of northern China, PM2.5 (particulate matter with aerodynamic diameter less than 2.5 μm) pollution driven by biomass burning remains a critical environmental challenge, yet uncertainties persist in source apportionment due to methodological limitations and insufficient multi-method validation agriculturally intensive areas. This study synergistically applied receptor modeling (PMF, Positive Matrix Factorization), emission inventory, WRF-Chem (Weather Research Forecasting model coupled Chemistry) simulations quantify contributions Siping City, Jilin Province, using year-round compositional data (July 2021-June 2022) localized parameters. The PMF resolved six sources, identifying as the dominant contributor (35.10 %), corroborated inventory revisions incorporating satellite-derived burned area mapping (50.73 km2), which attributed 37.50 % total emissions burning. simulations, revised demonstrated that sources collectively contributed 40.13 ambient during an episode, residential open accounting for 28.12 12.01 %, respectively. These results consistently highlight burning's dominance (one-third emissions). findings necessitate prioritizing controls through clean energy transitions, stricter enforcement combustion regulations, integrated management strategies mitigate air quality degradation regions.

Язык: Английский

PM2.5-bound synchronous polycyclic aromatic hydrocarbons and heavy metals in in a typical cold city in northern China: Differences in heating and non-heating periods DOI
Likun Huang, Jingyi Zhang, Lili Li

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 381, С. 125359 - 125359

Опубликована: Апрель 14, 2025

Язык: Английский

Процитировано

1
Triangulating residential biomass burning impacts on PM2.5 via PMF, satellite observation-based emission inventory, and WRF-Chem DOI Creative Commons

Xingsong Ye,

Jiaer Yang,

Zhiwen Chen

и другие.

Environment International, Год журнала: 2025, Номер 201, С. 109580 - 109580

Опубликована: Июнь 3, 2025

In agricultural regions of northern China, PM2.5 (particulate matter with aerodynamic diameter less than 2.5 μm) pollution driven by biomass burning remains a critical environmental challenge, yet uncertainties persist in source apportionment due to methodological limitations and insufficient multi-method validation agriculturally intensive areas. This study synergistically applied receptor modeling (PMF, Positive Matrix Factorization), emission inventory, WRF-Chem (Weather Research Forecasting model coupled Chemistry) simulations quantify contributions Siping City, Jilin Province, using year-round compositional data (July 2021-June 2022) localized parameters. The PMF resolved six sources, identifying as the dominant contributor (35.10 %), corroborated inventory revisions incorporating satellite-derived burned area mapping (50.73 km2), which attributed 37.50 % total emissions burning. simulations, revised demonstrated that sources collectively contributed 40.13 ambient during an episode, residential open accounting for 28.12 12.01 %, respectively. These results consistently highlight burning's dominance (one-third emissions). findings necessitate prioritizing controls through clean energy transitions, stricter enforcement combustion regulations, integrated management strategies mitigate air quality degradation regions.

Язык: Английский

Процитировано

0