A Novel Apportionment Method Utilizing Particle Mass Size Distribution across Multiple Particle Size Ranges DOI Creative Commons

Peizhi Wang,

Qingsong Wang,

Yuhuan Jia

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(8), P. 955 - 955

Published: Aug. 10, 2024

Many cities in China are facing the dual challenge of PM2.5 and PM10 pollution. There is an urgent need to develop a cost-effective method that can apportion both with high-time resolution. A novel practical apportionment presented this study. It combines measurement particle mass size distribution (PMSD) optical counter (OPC) algorithm normalized non-negative matrix factorization (N-NMF). Applied city center Baoding, Hebei, separates four distinct pollution factors. Their sizes (ordered from smallest largest) range 0.16 μm 0.6 μm, 1.0 0.5 17.0 2.0 20.0 respectively. They correspondingly contribute (PM10) portions 26% (17%), 37% (26%), 33% (41%), 4% (16%), respectively, on average. The smaller three factors identified as combustion, secondary, industrial aerosols because their high correlation carbonaceous aerosols, nitrate trace elements Fe/Mn/Ca PM2.5, largest-sized factor linked dust aerosols. primary origin regions, oxidation degrees, formation mechanisms each source further discussed. This provides scientific basis for comprehensive management

Language: Английский

Machine learning-supported determination for site-specific natural background values of soil heavy metals DOI
Jian Wu, Chengmin Huang

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 487, P. 137276 - 137276

Published: Jan. 18, 2025

Language: Английский

Citations

1
Quantifying the sources and health risks of groundwater nitrate via dual N O isotopes and Monte Carlo simulations in a developed planting-breeding area DOI Creative Commons
Jianwei Liu,

Shuo Qiao,

Shilong Zhao

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 290, P. 117778 - 117778

Published: Jan. 1, 2025

Language: Английский

Citations

0
Spatial Distribution and Ecological-Health Risks Assessment of Potentially Toxic Elements in the Surface Soils of Hamedan County, Iran DOI

Shima Akbarimorad,

David Bolonio, Soheil Sobhanardakani

et al.

Soil and Sediment Contamination An International Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 26

Published: April 2, 2025

Language: Английский

Citations

0
Assessment of the migration characteristics and source-oriented health risks of heavy metals in the soil and groundwater of a legacy contaminated by the chlor-alkali industry in central China DOI

Wanqi Ma,

Mingya Wang,

Mingshi Wang

et al.

Environmental Geochemistry and Health, Journal Year: 2024, Volume and Issue: 46(8)

Published: July 4, 2024

Language: Английский

Citations

2
A Novel Apportionment Method Utilizing Particle Mass Size Distribution across Multiple Particle Size Ranges DOI Creative Commons

Peizhi Wang,

Qingsong Wang,

Yuhuan Jia

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(8), P. 955 - 955

Published: Aug. 10, 2024

Many cities in China are facing the dual challenge of PM2.5 and PM10 pollution. There is an urgent need to develop a cost-effective method that can apportion both with high-time resolution. A novel practical apportionment presented this study. It combines measurement particle mass size distribution (PMSD) optical counter (OPC) algorithm normalized non-negative matrix factorization (N-NMF). Applied city center Baoding, Hebei, separates four distinct pollution factors. Their sizes (ordered from smallest largest) range 0.16 μm 0.6 μm, 1.0 0.5 17.0 2.0 20.0 respectively. They correspondingly contribute (PM10) portions 26% (17%), 37% (26%), 33% (41%), 4% (16%), respectively, on average. The smaller three factors identified as combustion, secondary, industrial aerosols because their high correlation carbonaceous aerosols, nitrate trace elements Fe/Mn/Ca PM2.5, largest-sized factor linked dust aerosols. primary origin regions, oxidation degrees, formation mechanisms each source further discussed. This provides scientific basis for comprehensive management

Language: Английский

Citations

0