High-time resolution PM2.5 source apportionment assisted by spectrum-based characteristics analysis

Author:

Liu Jie,Ma Fangjingxin,Chen Tse-Lun,Jiang Dexun,Du Meng,Zhang Xiaole,Feng Xiaoxiao,Wang Qiyuan,Cao Junji,Wang Jing

Funder

Direktion für Entwicklung und Zusammenarbeit

Heilongjiang Provincial Postdoctoral Science Foundation

Postdoctoral Scientific Research Development Fund of Heilongjiang Province

Postdoctoral Research Foundation of China

National Natural Science Foundation of China

Young Scientists Fund

China Postdoctoral Science Foundation

Natural Science Foundation of Heilongjiang Province

China Scholarship Council

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference59 articles.

1. Characteristics, emission sources, and risk factors of heavy metals in PM2.5 from Southern Malaysia;Alias;ACS Earth Space Chem.,2020

2. Ambient particulate matter source apportionment using receptor modelling in European and Central Asia urban areas;Almeida;Environ. Pollut.,2020

3. Bayesian-based ensemble source apportionment of PM2.5;Balachandran;Environ. Sci. Technol.,2013

4. The weekly cycle of ambient concentrations and traffic emissions of coarse (PM10–PM2.5) atmospheric particles;Barmpadimos;Atmos. Environ.,2011

5. Single-particle metal fingerprint analysis and machine learning pipeline for source apportionment of metal-containing fine particles in air;Bland;Environ. Sci. Technol. Lett.,2022

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